case study as a research strategy

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• What Is a Case Study? | Definition, Examples & Methods

What Is a Case Study? | Definition, Examples & Methods

Published on May 8, 2019 by Shona McCombes . Revised on November 20, 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organization, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyze the case, other interesting articles.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

TipIf your research is more practical in nature and aims to simultaneously investigate an issue as you solve it, consider conducting action research instead.

Unlike quantitative or experimental research , a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

Example of an outlying case studyIn the 1960s the town of Roseto, Pennsylvania was discovered to have extremely low rates of heart disease compared to the US average. It became an important case study for understanding previously neglected causes of heart disease.

However, you can also choose a more common or representative case to exemplify a particular category, experience or phenomenon.

Example of a representative case studyIn the 1920s, two sociologists used Muncie, Indiana as a case study of a typical American city that supposedly exemplified the changing culture of the US at the time.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews , observations , and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data.

Example of a mixed methods case studyFor a case study of a wind farm development in a rural area, you could collect quantitative data on employment rates and business revenue, collect qualitative data on local people’s perceptions and experiences, and analyze local and national media coverage of the development.

The aim is to gain as thorough an understanding as possible of the case and its context.

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In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis , with separate sections or chapters for the methods , results and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyze its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

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The Ultimate Guide to Qualitative Research - Part 1: The Basics

• Introduction and overview
• What is qualitative research?
• What is qualitative data?
• Examples of qualitative data
• Qualitative vs. quantitative research
• Mixed methods
• Qualitative research preparation
• Theoretical perspective
• Theoretical framework
• Literature reviews

Research question

• Conceptual framework
• Conceptual vs. theoretical framework

Data collection

• Qualitative research methods
• Focus groups
• Observational research

What is a case study?

Applications for case study research, what is a good case study, process of case study design, benefits and limitations of case studies.

• Ethnographical research
• Ethical considerations
• Confidentiality and privacy
• Power dynamics
• Reflexivity

Case studies

Case studies are essential to qualitative research , offering a lens through which researchers can investigate complex phenomena within their real-life contexts. This chapter explores the concept, purpose, applications, examples, and types of case studies and provides guidance on how to conduct case study research effectively.

Whereas quantitative methods look at phenomena at scale, case study research looks at a concept or phenomenon in considerable detail. While analyzing a single case can help understand one perspective regarding the object of research inquiry, analyzing multiple cases can help obtain a more holistic sense of the topic or issue. Let's provide a basic definition of a case study, then explore its characteristics and role in the qualitative research process.

Definition of a case study

A case study in qualitative research is a strategy of inquiry that involves an in-depth investigation of a phenomenon within its real-world context. It provides researchers with the opportunity to acquire an in-depth understanding of intricate details that might not be as apparent or accessible through other methods of research. The specific case or cases being studied can be a single person, group, or organization – demarcating what constitutes a relevant case worth studying depends on the researcher and their research question .

Among qualitative research methods , a case study relies on multiple sources of evidence, such as documents, artifacts, interviews , or observations , to present a complete and nuanced understanding of the phenomenon under investigation. The objective is to illuminate the readers' understanding of the phenomenon beyond its abstract statistical or theoretical explanations.

Characteristics of case studies

Case studies typically possess a number of distinct characteristics that set them apart from other research methods. These characteristics include a focus on holistic description and explanation, flexibility in the design and data collection methods, reliance on multiple sources of evidence, and emphasis on the context in which the phenomenon occurs.

Furthermore, case studies can often involve a longitudinal examination of the case, meaning they study the case over a period of time. These characteristics allow case studies to yield comprehensive, in-depth, and richly contextualized insights about the phenomenon of interest.

The role of case studies in research

Case studies hold a unique position in the broader landscape of research methods aimed at theory development. They are instrumental when the primary research interest is to gain an intensive, detailed understanding of a phenomenon in its real-life context.

In addition, case studies can serve different purposes within research - they can be used for exploratory, descriptive, or explanatory purposes, depending on the research question and objectives. This flexibility and depth make case studies a valuable tool in the toolkit of qualitative researchers.

Remember, a well-conducted case study can offer a rich, insightful contribution to both academic and practical knowledge through theory development or theory verification, thus enhancing our understanding of complex phenomena in their real-world contexts.

What is the purpose of a case study?

Case study research aims for a more comprehensive understanding of phenomena, requiring various research methods to gather information for qualitative analysis . Ultimately, a case study can allow the researcher to gain insight into a particular object of inquiry and develop a theoretical framework relevant to the research inquiry.

Why use case studies in qualitative research?

Using case studies as a research strategy depends mainly on the nature of the research question and the researcher's access to the data.

Conducting case study research provides a level of detail and contextual richness that other research methods might not offer. They are beneficial when there's a need to understand complex social phenomena within their natural contexts.

The explanatory, exploratory, and descriptive roles of case studies

Case studies can take on various roles depending on the research objectives. They can be exploratory when the research aims to discover new phenomena or define new research questions; they are descriptive when the objective is to depict a phenomenon within its context in a detailed manner; and they can be explanatory if the goal is to understand specific relationships within the studied context. Thus, the versatility of case studies allows researchers to approach their topic from different angles, offering multiple ways to uncover and interpret the data .

The impact of case studies on knowledge development

Case studies play a significant role in knowledge development across various disciplines. Analysis of cases provides an avenue for researchers to explore phenomena within their context based on the collected data.

This can result in the production of rich, practical insights that can be instrumental in both theory-building and practice. Case studies allow researchers to delve into the intricacies and complexities of real-life situations, uncovering insights that might otherwise remain hidden.

Types of case studies

In qualitative research , a case study is not a one-size-fits-all approach. Depending on the nature of the research question and the specific objectives of the study, researchers might choose to use different types of case studies. These types differ in their focus, methodology, and the level of detail they provide about the phenomenon under investigation.

Understanding these types is crucial for selecting the most appropriate approach for your research project and effectively achieving your research goals. Let's briefly look at the main types of case studies.

Exploratory case studies

Exploratory case studies are typically conducted to develop a theory or framework around an understudied phenomenon. They can also serve as a precursor to a larger-scale research project. Exploratory case studies are useful when a researcher wants to identify the key issues or questions which can spur more extensive study or be used to develop propositions for further research. These case studies are characterized by flexibility, allowing researchers to explore various aspects of a phenomenon as they emerge, which can also form the foundation for subsequent studies.

Descriptive case studies

Descriptive case studies aim to provide a complete and accurate representation of a phenomenon or event within its context. These case studies are often based on an established theoretical framework, which guides how data is collected and analyzed. The researcher is concerned with describing the phenomenon in detail, as it occurs naturally, without trying to influence or manipulate it.

Explanatory case studies

Explanatory case studies are focused on explanation - they seek to clarify how or why certain phenomena occur. Often used in complex, real-life situations, they can be particularly valuable in clarifying causal relationships among concepts and understanding the interplay between different factors within a specific context.

Intrinsic, instrumental, and collective case studies

These three categories of case studies focus on the nature and purpose of the study. An intrinsic case study is conducted when a researcher has an inherent interest in the case itself. Instrumental case studies are employed when the case is used to provide insight into a particular issue or phenomenon. A collective case study, on the other hand, involves studying multiple cases simultaneously to investigate some general phenomena.

Each type of case study serves a different purpose and has its own strengths and challenges. The selection of the type should be guided by the research question and objectives, as well as the context and constraints of the research.

The flexibility, depth, and contextual richness offered by case studies make this approach an excellent research method for various fields of study. They enable researchers to investigate real-world phenomena within their specific contexts, capturing nuances that other research methods might miss. Across numerous fields, case studies provide valuable insights into complex issues.

Critical information systems research

Case studies provide a detailed understanding of the role and impact of information systems in different contexts. They offer a platform to explore how information systems are designed, implemented, and used and how they interact with various social, economic, and political factors. Case studies in this field often focus on examining the intricate relationship between technology, organizational processes, and user behavior, helping to uncover insights that can inform better system design and implementation.

Health research

Health research is another field where case studies are highly valuable. They offer a way to explore patient experiences, healthcare delivery processes, and the impact of various interventions in a real-world context.

Case studies can provide a deep understanding of a patient's journey, giving insights into the intricacies of disease progression, treatment effects, and the psychosocial aspects of health and illness.

Asthma research studies

Specifically within medical research, studies on asthma often employ case studies to explore the individual and environmental factors that influence asthma development, management, and outcomes. A case study can provide rich, detailed data about individual patients' experiences, from the triggers and symptoms they experience to the effectiveness of various management strategies. This can be crucial for developing patient-centered asthma care approaches.

Other fields

Apart from the fields mentioned, case studies are also extensively used in business and management research, education research, and political sciences, among many others. They provide an opportunity to delve into the intricacies of real-world situations, allowing for a comprehensive understanding of various phenomena.

Case studies, with their depth and contextual focus, offer unique insights across these varied fields. They allow researchers to illuminate the complexities of real-life situations, contributing to both theory and practice.

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Understanding the key elements of case study design is crucial for conducting rigorous and impactful case study research. A well-structured design guides the researcher through the process, ensuring that the study is methodologically sound and its findings are reliable and valid. The main elements of case study design include the research question , propositions, units of analysis, and the logic linking the data to the propositions.

The research question is the foundation of any research study. A good research question guides the direction of the study and informs the selection of the case, the methods of collecting data, and the analysis techniques. A well-formulated research question in case study research is typically clear, focused, and complex enough to merit further detailed examination of the relevant case(s).

Propositions

Propositions, though not necessary in every case study, provide a direction by stating what we might expect to find in the data collected. They guide how data is collected and analyzed by helping researchers focus on specific aspects of the case. They are particularly important in explanatory case studies, which seek to understand the relationships among concepts within the studied phenomenon.

Units of analysis

The unit of analysis refers to the case, or the main entity or entities that are being analyzed in the study. In case study research, the unit of analysis can be an individual, a group, an organization, a decision, an event, or even a time period. It's crucial to clearly define the unit of analysis, as it shapes the qualitative data analysis process by allowing the researcher to analyze a particular case and synthesize analysis across multiple case studies to draw conclusions.

Argumentation

This refers to the inferential model that allows researchers to draw conclusions from the data. The researcher needs to ensure that there is a clear link between the data, the propositions (if any), and the conclusions drawn. This argumentation is what enables the researcher to make valid and credible inferences about the phenomenon under study.

Understanding and carefully considering these elements in the design phase of a case study can significantly enhance the quality of the research. It can help ensure that the study is methodologically sound and its findings contribute meaningful insights about the case.

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Conducting a case study involves several steps, from defining the research question and selecting the case to collecting and analyzing data . This section outlines these key stages, providing a practical guide on how to conduct case study research.

Defining the research question

The first step in case study research is defining a clear, focused research question. This question should guide the entire research process, from case selection to analysis. It's crucial to ensure that the research question is suitable for a case study approach. Typically, such questions are exploratory or descriptive in nature and focus on understanding a phenomenon within its real-life context.

Selecting and defining the case

The selection of the case should be based on the research question and the objectives of the study. It involves choosing a unique example or a set of examples that provide rich, in-depth data about the phenomenon under investigation. After selecting the case, it's crucial to define it clearly, setting the boundaries of the case, including the time period and the specific context.

Previous research can help guide the case study design. When considering a case study, an example of a case could be taken from previous case study research and used to define cases in a new research inquiry. Considering recently published examples can help understand how to select and define cases effectively.

Developing a detailed case study protocol

A case study protocol outlines the procedures and general rules to be followed during the case study. This includes the data collection methods to be used, the sources of data, and the procedures for analysis. Having a detailed case study protocol ensures consistency and reliability in the study.

The protocol should also consider how to work with the people involved in the research context to grant the research team access to collecting data. As mentioned in previous sections of this guide, establishing rapport is an essential component of qualitative research as it shapes the overall potential for collecting and analyzing data.

Collecting data

Gathering data in case study research often involves multiple sources of evidence, including documents, archival records, interviews, observations, and physical artifacts. This allows for a comprehensive understanding of the case. The process for gathering data should be systematic and carefully documented to ensure the reliability and validity of the study.

Analyzing and interpreting data

The next step is analyzing the data. This involves organizing the data , categorizing it into themes or patterns , and interpreting these patterns to answer the research question. The analysis might also involve comparing the findings with prior research or theoretical propositions.

Writing the case study report

The final step is writing the case study report . This should provide a detailed description of the case, the data, the analysis process, and the findings. The report should be clear, organized, and carefully written to ensure that the reader can understand the case and the conclusions drawn from it.

Each of these steps is crucial in ensuring that the case study research is rigorous, reliable, and provides valuable insights about the case.

The type, depth, and quality of data in your study can significantly influence the validity and utility of the study. In case study research, data is usually collected from multiple sources to provide a comprehensive and nuanced understanding of the case. This section will outline the various methods of collecting data used in case study research and discuss considerations for ensuring the quality of the data.

Interviews are a common method of gathering data in case study research. They can provide rich, in-depth data about the perspectives, experiences, and interpretations of the individuals involved in the case. Interviews can be structured , semi-structured , or unstructured , depending on the research question and the degree of flexibility needed.

Observations

Observations involve the researcher observing the case in its natural setting, providing first-hand information about the case and its context. Observations can provide data that might not be revealed in interviews or documents, such as non-verbal cues or contextual information.

Documents and artifacts

Documents and archival records provide a valuable source of data in case study research. They can include reports, letters, memos, meeting minutes, email correspondence, and various public and private documents related to the case.

These records can provide historical context, corroborate evidence from other sources, and offer insights into the case that might not be apparent from interviews or observations.

Physical artifacts refer to any physical evidence related to the case, such as tools, products, or physical environments. These artifacts can provide tangible insights into the case, complementing the data gathered from other sources.

Ensuring the quality of data collection

Determining the quality of data in case study research requires careful planning and execution. It's crucial to ensure that the data is reliable, accurate, and relevant to the research question. This involves selecting appropriate methods of collecting data, properly training interviewers or observers, and systematically recording and storing the data. It also includes considering ethical issues related to collecting and handling data, such as obtaining informed consent and ensuring the privacy and confidentiality of the participants.

Data analysis

Analyzing case study research involves making sense of the rich, detailed data to answer the research question. This process can be challenging due to the volume and complexity of case study data. However, a systematic and rigorous approach to analysis can ensure that the findings are credible and meaningful. This section outlines the main steps and considerations in analyzing data in case study research.

Organizing the data

The first step in the analysis is organizing the data. This involves sorting the data into manageable sections, often according to the data source or the theme. This step can also involve transcribing interviews, digitizing physical artifacts, or organizing observational data.

Categorizing and coding the data

Once the data is organized, the next step is to categorize or code the data. This involves identifying common themes, patterns, or concepts in the data and assigning codes to relevant data segments. Coding can be done manually or with the help of software tools, and in either case, qualitative analysis software can greatly facilitate the entire coding process. Coding helps to reduce the data to a set of themes or categories that can be more easily analyzed.

Identifying patterns and themes

After coding the data, the researcher looks for patterns or themes in the coded data. This involves comparing and contrasting the codes and looking for relationships or patterns among them. The identified patterns and themes should help answer the research question.

Interpreting the data

Once patterns and themes have been identified, the next step is to interpret these findings. This involves explaining what the patterns or themes mean in the context of the research question and the case. This interpretation should be grounded in the data, but it can also involve drawing on theoretical concepts or prior research.

Verification of the data

The last step in the analysis is verification. This involves checking the accuracy and consistency of the analysis process and confirming that the findings are supported by the data. This can involve re-checking the original data, checking the consistency of codes, or seeking feedback from research participants or peers.

Like any research method , case study research has its strengths and limitations. Researchers must be aware of these, as they can influence the design, conduct, and interpretation of the study.

Understanding the strengths and limitations of case study research can also guide researchers in deciding whether this approach is suitable for their research question . This section outlines some of the key strengths and limitations of case study research.

Benefits include the following:

• Rich, detailed data: One of the main strengths of case study research is that it can generate rich, detailed data about the case. This can provide a deep understanding of the case and its context, which can be valuable in exploring complex phenomena.
• Flexibility: Case study research is flexible in terms of design , data collection , and analysis . A sufficient degree of flexibility allows the researcher to adapt the study according to the case and the emerging findings.
• Real-world context: Case study research involves studying the case in its real-world context, which can provide valuable insights into the interplay between the case and its context.
• Multiple sources of evidence: Case study research often involves collecting data from multiple sources , which can enhance the robustness and validity of the findings.

On the other hand, researchers should consider the following limitations:

• Generalizability: A common criticism of case study research is that its findings might not be generalizable to other cases due to the specificity and uniqueness of each case.
• Time and resource intensive: Case study research can be time and resource intensive due to the depth of the investigation and the amount of collected data.
• Complexity of analysis: The rich, detailed data generated in case study research can make analyzing the data challenging.
• Subjectivity: Given the nature of case study research, there may be a higher degree of subjectivity in interpreting the data , so researchers need to reflect on this and transparently convey to audiences how the research was conducted.

Being aware of these strengths and limitations can help researchers design and conduct case study research effectively and interpret and report the findings appropriately.

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The case study as a research strategy

Affiliation.

• 1 Centre for Health Promotion Research, Halmstad University, Sweden.
• PMID: 9275815
• DOI: 10.1111/j.1471-6712.1997.tb00423.x

A research strategy seldom used in the caring sciences is the case study. A case study is an empirical in-depth inquiry about an individual, family, group or organization. It is preferable when 'how' and 'why' questions are asked. The case study is mainly used to explain those causal links in real-life intervention that are too complex for either the survey or experimental strategies. Like other research strategies, its design includes questions or propositions, units of analysis, the logic linking the data to the questions or propositions, and the interpretations of the outcomes. A case study can be reported as a single case or as a compilation of a series of cases. In conclusion, a case study is a simple and excellent way for a care professional to present him or herself to the scientific world.

Publication types

• Nursing Methodology Research / methods*
• Nursing Records*
• Research Design*

Agricultural Policy Analysis pp 179–193 Cite as

Qualitative Methods for Policy Analysis: Case Study Research Strategy

• Sarath S. Kodithuwakku 3  
• First Online: 10 April 2022

1312 Accesses

Many policy researchers are predisposed to use either quantitative or qualitative research methods regardless of the research questions at hand, leading to varying degrees of gaps in their findings and policy recommendations. Qualitative approaches effectively address why and how types of research questions to complement the answers for who , what , where , how many , and how much research questions, obtained using quantitative research methods, enabling researchers to make policy outcomes meaningful and contextually relevant. This chapter introduces the case study as an appropriate research strategy for accommodating qualitative and quantitative methods, followed by a brief account of qualitative research methods.

• Policy analysis
• Qualitative research
• Case study approach

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For a lucid example for selecting a geographical boundary of a case study, see Kodithuwakku ( 1997 ) and Kodithuwakku and Rosa ( 2002 ) in which the authors selected a Sri Lankan village to explore entrepreneurial behaviour of rural farmers. Similarly, Leach ( 1967 ) drew conclusions on his fieldwork in just one village to counter some interpretations from an extensive survey conducted by Sakar and Tambiah ( 1957 ) in 57 villages on land ownership in Sri Lanka.

Bogdan R, Biklen SK (1982) Qualitative research for education. Allyn & Bacon, Boston

Google Scholar  

Bonoma TV (1985) Case research in marketing: opportunities, problems, and a process. J Mark Res XXII:199–208

Article   Google Scholar  

Brunåker S (1993) Farm diversification-new enterprises on competitive markets. Swedish University of Agricultural Sciences, Uppsala

Bryman A, Burgess RG (1994) Analyzing qualitative data. Routledge, London

Burgess RG (1982) Field research: a source book and a field manual. George Allan & Unwin, London

Cambell DT (1955) The informant in quantitative research. Am J Sociol 60

Cassell C, Symon G (2004) Promoting new research practices in organisational research. Essential guide to qualitative methods in organisational research. Sage, London

Cochrane A (1987) What a difference the place makes: the new structuralism of locality. Antipode 19:354–363

De Vries WM (1993) Farming with other gainful activities in the Netherlands. Sociol Rural XXXIII:190–202

Downey HK, Ireland RD (1979) Quantitative versus qualitative: environmental assessment in organizational studies. Adm Sci Q 24

Eboli M, Turri E (1988) Towards a behavioural model of multiple-job holding farm families. Agric Econ 2:247–258

Eisenhardt KM (1989) Building theories from case study research. Acad Manag Rev 14(4):532–550

Fletcher AJ (2017) Applying critical realism in qualitative research: methodology meets method. Int J Soc Res Methodol 20(2):181–194

Freeman LC, Romney AK (1987) Cognitive structure and informant accuracy. Am Anthropol 89:310–325

Gartner WB, Birley S (2002) Introduction to the special issue on qualitative methods in entrepreneurship research. J Bus Ventur 17(5):431–465

Geertz CA (1973) The interpretation of culture. Basic Books, New York

Glaser BG, Strauss AL (1967) The discovery of grounded theory. Aldine, Chicago

Gummesson E (1991) Qualitative research in management research. Sage Publications Inc., California, London, and New Delhi

Gummesson E (1992) Case study research. Stockholm University, Sweden

Hamel J, Dufour S, Fortin D (1993) Case study methods (qualitative research methods series 32). Sage Publications Inc., California, London, and New Delhi

Hammersley M (1989) The dilemma of qualitative method: Herbert Blumer and the Chicago tradition. Routledge, London

Hartley JF (1994) Case studies in organizational research. In: Cassell C, Symon G (eds) Qualitative methods in organizational research. Sage Publications Inc., California, London, and New Delhi

Hartley J (2004) Case study research. In: Cassell C, Symon G (eds) Essential guide to qualitative methods in organisational research. Sage, London

Herrmann V, Uttitz P (1990) If only i didn't enjoy being a farmer: attitudes and options of monoactive and pluriactive farmers. Socilogia Ruralis 30(1):62–75

Idries S (2014) The exploits of the incomparable Mulla Nasrudin. ISF Publishing, London, p 9

Jick TD (1979) Mixing qualitative and quantitative methods: triangulation in action. Adm Sci Q 24(4):602–611

Johnson CJ (1990) Selecting ethnographic informants, qualitative research methods series 22. Sage Publications Inc., California, London, and New Delhi

Jones R (1995) Why do qualitative research? It should begin to close the gap between the sciences of discovery and implementation. Br Med J 311:2

Article   CAS   Google Scholar  

King N (2004) Using interviews in qualitative research. In: Cassell C, Symon G (eds) Essential guide to qualitative methods in organisational research. Sage, London

Kjellen B, Soderman S (1980) Praktikfallsmetodik. SIAR/Liber, Malmo

Kodithuwakku SS (1997) Entrepreneurial processes in an apparently uniform context: a study of rural farmers in Sri Lanka. Unpublished PhD Thesis, University of Stirling

Kodithuwakku SS, Rosa P (2002) The entrepreneurial process and economic success in a constrained environment. J Bus Ventur 17(5):431–465

Kuzel AJ (1992) Sampling in qualitative inquiry. In: Crabtree BF, Miller WL (eds) Doing qualitative research: research methods for primary case series 3. Sage Publications, California

Leach ER (1967) An anthropologist’s reflections on a social survey. In: Jongmans DG, Gutkind PCW (eds) Anthropologists in the field. Van Gorcum-HJ Prakke & HMG Prakke, Assen

McClintock C (1985) Process sampling: a method for case study research on administrative behaviour. Educ Adm Q 21(3):205–222

McClintock CC, Brannon D, Moody ST (1979) Applying the logic of sample surveys to qualitative case studies: the case cluster method. Adm Sci Q 24(4):612–629

Miles MB (1979) Qualitative data as an attractive nuisance. Adm Sci Q 24(4):590–601

Miles MB, Huberman AM (1994) Qualitative data analysis: an expanded source book, 2nd edn. Sage Publications, Thousand Oaks, London, New Delhi

Miles MB, Huberman M, Saldaña J (2014) Qualitative data analysis: a methods sourcebook, 3rd edn. Sage Publications, California

Moore M (1989) The ideological history of the Sri Lankan ‘peasantry’. Mod Asian Stud 23:1

Ostrander SA (1980) Upper class women: class consciousness as conduct and meaning. In: Domhoff GW (ed) Power structure research. Sage Publications, California

Pope C, Mays N (1995) Researching the parts other methods cannot reach: an introduction to qualitative methods in health and health service research. Br Med J 311:42–45

Redclift N, Whatmore S (1990) Household consumption and livelihood: ideologies and issues in rural research. In: Marsden T, Lowe P, Whatmore S (eds) Rural restructuring: global processes and their response. David Fulton, London

Ritchie J, Spencer L (1994) Qualitative data analysis for applied policy research. In: Bryman A, Burgess RD (eds) Analysing qualitative data. Routledge

Rosa P, Bowes A (1990) Entrepreneurship: some lessons of social anthropology. EC SB 4th Workshop on Research in Entrepreneurship, University of Cologne, 29th November

Sakar NK, Tambiah S (1957) The disintegrating village. Report of a socio-economic survey conducted. University Press Board, University of Ceylon, Peradeniya

Schram W (1971) Notes on case studies of instructional media projects. Working paper, The Academy for Educational Development, Washington DC

Smith MK, Thorpe R, and Lowe A (1992) Management research: an introduction, Sage Publications Inc., London, Newbury Park, and New Delhi

Stoecker R (1991) Evaluating and rethinking the case study. Sociol Rev 39:88–112

Strauss AL, Schatzman L, Bucher R, Ehrlich D, Sabshin M (1964) Psychiatric ideologies and institutions. The Free Press, New York

Tremblay M (1957) The key informant technique: a non-ethnographical application. Am Anthropol 59:239

Van Maanen J (1979) Reclaiming qualitative methods for organizational research: a practice. Adm Sci Q 24:520–526

Weiss RS (1968) Issues in holistic research. In: Becker HS, Geer B, Riesman D, Weiss RS (eds) Institutions and the person. Aldine, Chicago

Werner O (1989) Keeping track of your interviews. CAM News Letter 1:1

Yin RK (1981) The case study crisis: some answers. Adm Sci Q 26(1):58–65

Yin RK (1994) Case study research: design and methods, 2nd edn. Sage Publications, London

Zonabend F (1992) The monograph in European ethnology. Curr Sociol 40(1):242

Yin RK (2003) Case study research: design and methods. In: Applied social research methods series volume 5. Sage Publications, London

Yin RK (2018) Case study research and applications: design and methods, 6th edn. Sage Publications, London

Further Readings

Neergaard H, Ulhøi JP (2007) Handbook of qualitative research methods in entrepreneurship. Edward Elgar Publishing, Cheltenham, UK. Northampton, MA

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Yin RK (2018) Case study research and applications: design and methods, 6th edn. Sage, London

Miles MB, Huberman M, Saldaña J (2020) Qualitative data analysis: a methods sourcebook, 4th edn. Sage, London

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The case study approach

Sarah crowe.

1 Division of Primary Care, The University of Nottingham, Nottingham, UK

Kathrin Cresswell

2 Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK

Ann Robertson

3 School of Health in Social Science, The University of Edinburgh, Edinburgh, UK

Anthony Avery

Aziz sheikh.

The case study approach allows in-depth, multi-faceted explorations of complex issues in their real-life settings. The value of the case study approach is well recognised in the fields of business, law and policy, but somewhat less so in health services research. Based on our experiences of conducting several health-related case studies, we reflect on the different types of case study design, the specific research questions this approach can help answer, the data sources that tend to be used, and the particular advantages and disadvantages of employing this methodological approach. The paper concludes with key pointers to aid those designing and appraising proposals for conducting case study research, and a checklist to help readers assess the quality of case study reports.

Introduction

The case study approach is particularly useful to employ when there is a need to obtain an in-depth appreciation of an issue, event or phenomenon of interest, in its natural real-life context. Our aim in writing this piece is to provide insights into when to consider employing this approach and an overview of key methodological considerations in relation to the design, planning, analysis, interpretation and reporting of case studies.

The illustrative 'grand round', 'case report' and 'case series' have a long tradition in clinical practice and research. Presenting detailed critiques, typically of one or more patients, aims to provide insights into aspects of the clinical case and, in doing so, illustrate broader lessons that may be learnt. In research, the conceptually-related case study approach can be used, for example, to describe in detail a patient's episode of care, explore professional attitudes to and experiences of a new policy initiative or service development or more generally to 'investigate contemporary phenomena within its real-life context' [ 1 ]. Based on our experiences of conducting a range of case studies, we reflect on when to consider using this approach, discuss the key steps involved and illustrate, with examples, some of the practical challenges of attaining an in-depth understanding of a 'case' as an integrated whole. In keeping with previously published work, we acknowledge the importance of theory to underpin the design, selection, conduct and interpretation of case studies[ 2 ]. In so doing, we make passing reference to the different epistemological approaches used in case study research by key theoreticians and methodologists in this field of enquiry.

This paper is structured around the following main questions: What is a case study? What are case studies used for? How are case studies conducted? What are the potential pitfalls and how can these be avoided? We draw in particular on four of our own recently published examples of case studies (see Tables ​ Tables1, 1 , ​ ,2, 2 , ​ ,3 3 and ​ and4) 4 ) and those of others to illustrate our discussion[ 3 - 7 ].

Example of a case study investigating the reasons for differences in recruitment rates of minority ethnic people in asthma research[ 3 ]

Example of a case study investigating the process of planning and implementing a service in Primary Care Organisations[ 4 ]

Example of a case study investigating the introduction of the electronic health records[ 5 ]

Example of a case study investigating the formal and informal ways students learn about patient safety[ 6 ]

What is a case study?

A case study is a research approach that is used to generate an in-depth, multi-faceted understanding of a complex issue in its real-life context. It is an established research design that is used extensively in a wide variety of disciplines, particularly in the social sciences. A case study can be defined in a variety of ways (Table ​ (Table5), 5 ), the central tenet being the need to explore an event or phenomenon in depth and in its natural context. It is for this reason sometimes referred to as a "naturalistic" design; this is in contrast to an "experimental" design (such as a randomised controlled trial) in which the investigator seeks to exert control over and manipulate the variable(s) of interest.

Definitions of a case study

Stake's work has been particularly influential in defining the case study approach to scientific enquiry. He has helpfully characterised three main types of case study: intrinsic , instrumental and collective [ 8 ]. An intrinsic case study is typically undertaken to learn about a unique phenomenon. The researcher should define the uniqueness of the phenomenon, which distinguishes it from all others. In contrast, the instrumental case study uses a particular case (some of which may be better than others) to gain a broader appreciation of an issue or phenomenon. The collective case study involves studying multiple cases simultaneously or sequentially in an attempt to generate a still broader appreciation of a particular issue.

These are however not necessarily mutually exclusive categories. In the first of our examples (Table ​ (Table1), 1 ), we undertook an intrinsic case study to investigate the issue of recruitment of minority ethnic people into the specific context of asthma research studies, but it developed into a instrumental case study through seeking to understand the issue of recruitment of these marginalised populations more generally, generating a number of the findings that are potentially transferable to other disease contexts[ 3 ]. In contrast, the other three examples (see Tables ​ Tables2, 2 , ​ ,3 3 and ​ and4) 4 ) employed collective case study designs to study the introduction of workforce reconfiguration in primary care, the implementation of electronic health records into hospitals, and to understand the ways in which healthcare students learn about patient safety considerations[ 4 - 6 ]. Although our study focusing on the introduction of General Practitioners with Specialist Interests (Table ​ (Table2) 2 ) was explicitly collective in design (four contrasting primary care organisations were studied), is was also instrumental in that this particular professional group was studied as an exemplar of the more general phenomenon of workforce redesign[ 4 ].

What are case studies used for?

According to Yin, case studies can be used to explain, describe or explore events or phenomena in the everyday contexts in which they occur[ 1 ]. These can, for example, help to understand and explain causal links and pathways resulting from a new policy initiative or service development (see Tables ​ Tables2 2 and ​ and3, 3 , for example)[ 1 ]. In contrast to experimental designs, which seek to test a specific hypothesis through deliberately manipulating the environment (like, for example, in a randomised controlled trial giving a new drug to randomly selected individuals and then comparing outcomes with controls),[ 9 ] the case study approach lends itself well to capturing information on more explanatory ' how ', 'what' and ' why ' questions, such as ' how is the intervention being implemented and received on the ground?'. The case study approach can offer additional insights into what gaps exist in its delivery or why one implementation strategy might be chosen over another. This in turn can help develop or refine theory, as shown in our study of the teaching of patient safety in undergraduate curricula (Table ​ (Table4 4 )[ 6 , 10 ]. Key questions to consider when selecting the most appropriate study design are whether it is desirable or indeed possible to undertake a formal experimental investigation in which individuals and/or organisations are allocated to an intervention or control arm? Or whether the wish is to obtain a more naturalistic understanding of an issue? The former is ideally studied using a controlled experimental design, whereas the latter is more appropriately studied using a case study design.

Case studies may be approached in different ways depending on the epistemological standpoint of the researcher, that is, whether they take a critical (questioning one's own and others' assumptions), interpretivist (trying to understand individual and shared social meanings) or positivist approach (orientating towards the criteria of natural sciences, such as focusing on generalisability considerations) (Table ​ (Table6). 6 ). Whilst such a schema can be conceptually helpful, it may be appropriate to draw on more than one approach in any case study, particularly in the context of conducting health services research. Doolin has, for example, noted that in the context of undertaking interpretative case studies, researchers can usefully draw on a critical, reflective perspective which seeks to take into account the wider social and political environment that has shaped the case[ 11 ].

Example of epistemological approaches that may be used in case study research

How are case studies conducted?

Here, we focus on the main stages of research activity when planning and undertaking a case study; the crucial stages are: defining the case; selecting the case(s); collecting and analysing the data; interpreting data; and reporting the findings.

Defining the case

Carefully formulated research question(s), informed by the existing literature and a prior appreciation of the theoretical issues and setting(s), are all important in appropriately and succinctly defining the case[ 8 , 12 ]. Crucially, each case should have a pre-defined boundary which clarifies the nature and time period covered by the case study (i.e. its scope, beginning and end), the relevant social group, organisation or geographical area of interest to the investigator, the types of evidence to be collected, and the priorities for data collection and analysis (see Table ​ Table7 7 )[ 1 ]. A theory driven approach to defining the case may help generate knowledge that is potentially transferable to a range of clinical contexts and behaviours; using theory is also likely to result in a more informed appreciation of, for example, how and why interventions have succeeded or failed[ 13 ].

Example of a checklist for rating a case study proposal[ 8 ]

For example, in our evaluation of the introduction of electronic health records in English hospitals (Table ​ (Table3), 3 ), we defined our cases as the NHS Trusts that were receiving the new technology[ 5 ]. Our focus was on how the technology was being implemented. However, if the primary research interest had been on the social and organisational dimensions of implementation, we might have defined our case differently as a grouping of healthcare professionals (e.g. doctors and/or nurses). The precise beginning and end of the case may however prove difficult to define. Pursuing this same example, when does the process of implementation and adoption of an electronic health record system really begin or end? Such judgements will inevitably be influenced by a range of factors, including the research question, theory of interest, the scope and richness of the gathered data and the resources available to the research team.

Selecting the case(s)

The decision on how to select the case(s) to study is a very important one that merits some reflection. In an intrinsic case study, the case is selected on its own merits[ 8 ]. The case is selected not because it is representative of other cases, but because of its uniqueness, which is of genuine interest to the researchers. This was, for example, the case in our study of the recruitment of minority ethnic participants into asthma research (Table ​ (Table1) 1 ) as our earlier work had demonstrated the marginalisation of minority ethnic people with asthma, despite evidence of disproportionate asthma morbidity[ 14 , 15 ]. In another example of an intrinsic case study, Hellstrom et al.[ 16 ] studied an elderly married couple living with dementia to explore how dementia had impacted on their understanding of home, their everyday life and their relationships.

For an instrumental case study, selecting a "typical" case can work well[ 8 ]. In contrast to the intrinsic case study, the particular case which is chosen is of less importance than selecting a case that allows the researcher to investigate an issue or phenomenon. For example, in order to gain an understanding of doctors' responses to health policy initiatives, Som undertook an instrumental case study interviewing clinicians who had a range of responsibilities for clinical governance in one NHS acute hospital trust[ 17 ]. Sampling a "deviant" or "atypical" case may however prove even more informative, potentially enabling the researcher to identify causal processes, generate hypotheses and develop theory.

In collective or multiple case studies, a number of cases are carefully selected. This offers the advantage of allowing comparisons to be made across several cases and/or replication. Choosing a "typical" case may enable the findings to be generalised to theory (i.e. analytical generalisation) or to test theory by replicating the findings in a second or even a third case (i.e. replication logic)[ 1 ]. Yin suggests two or three literal replications (i.e. predicting similar results) if the theory is straightforward and five or more if the theory is more subtle. However, critics might argue that selecting 'cases' in this way is insufficiently reflexive and ill-suited to the complexities of contemporary healthcare organisations.

The selected case study site(s) should allow the research team access to the group of individuals, the organisation, the processes or whatever else constitutes the chosen unit of analysis for the study. Access is therefore a central consideration; the researcher needs to come to know the case study site(s) well and to work cooperatively with them. Selected cases need to be not only interesting but also hospitable to the inquiry [ 8 ] if they are to be informative and answer the research question(s). Case study sites may also be pre-selected for the researcher, with decisions being influenced by key stakeholders. For example, our selection of case study sites in the evaluation of the implementation and adoption of electronic health record systems (see Table ​ Table3) 3 ) was heavily influenced by NHS Connecting for Health, the government agency that was responsible for overseeing the National Programme for Information Technology (NPfIT)[ 5 ]. This prominent stakeholder had already selected the NHS sites (through a competitive bidding process) to be early adopters of the electronic health record systems and had negotiated contracts that detailed the deployment timelines.

It is also important to consider in advance the likely burden and risks associated with participation for those who (or the site(s) which) comprise the case study. Of particular importance is the obligation for the researcher to think through the ethical implications of the study (e.g. the risk of inadvertently breaching anonymity or confidentiality) and to ensure that potential participants/participating sites are provided with sufficient information to make an informed choice about joining the study. The outcome of providing this information might be that the emotive burden associated with participation, or the organisational disruption associated with supporting the fieldwork, is considered so high that the individuals or sites decide against participation.

In our example of evaluating implementations of electronic health record systems, given the restricted number of early adopter sites available to us, we sought purposively to select a diverse range of implementation cases among those that were available[ 5 ]. We chose a mixture of teaching, non-teaching and Foundation Trust hospitals, and examples of each of the three electronic health record systems procured centrally by the NPfIT. At one recruited site, it quickly became apparent that access was problematic because of competing demands on that organisation. Recognising the importance of full access and co-operative working for generating rich data, the research team decided not to pursue work at that site and instead to focus on other recruited sites.

Collecting the data

In order to develop a thorough understanding of the case, the case study approach usually involves the collection of multiple sources of evidence, using a range of quantitative (e.g. questionnaires, audits and analysis of routinely collected healthcare data) and more commonly qualitative techniques (e.g. interviews, focus groups and observations). The use of multiple sources of data (data triangulation) has been advocated as a way of increasing the internal validity of a study (i.e. the extent to which the method is appropriate to answer the research question)[ 8 , 18 - 21 ]. An underlying assumption is that data collected in different ways should lead to similar conclusions, and approaching the same issue from different angles can help develop a holistic picture of the phenomenon (Table ​ (Table2 2 )[ 4 ].

Brazier and colleagues used a mixed-methods case study approach to investigate the impact of a cancer care programme[ 22 ]. Here, quantitative measures were collected with questionnaires before, and five months after, the start of the intervention which did not yield any statistically significant results. Qualitative interviews with patients however helped provide an insight into potentially beneficial process-related aspects of the programme, such as greater, perceived patient involvement in care. The authors reported how this case study approach provided a number of contextual factors likely to influence the effectiveness of the intervention and which were not likely to have been obtained from quantitative methods alone.

In collective or multiple case studies, data collection needs to be flexible enough to allow a detailed description of each individual case to be developed (e.g. the nature of different cancer care programmes), before considering the emerging similarities and differences in cross-case comparisons (e.g. to explore why one programme is more effective than another). It is important that data sources from different cases are, where possible, broadly comparable for this purpose even though they may vary in nature and depth.

Analysing, interpreting and reporting case studies

Making sense and offering a coherent interpretation of the typically disparate sources of data (whether qualitative alone or together with quantitative) is far from straightforward. Repeated reviewing and sorting of the voluminous and detail-rich data are integral to the process of analysis. In collective case studies, it is helpful to analyse data relating to the individual component cases first, before making comparisons across cases. Attention needs to be paid to variations within each case and, where relevant, the relationship between different causes, effects and outcomes[ 23 ]. Data will need to be organised and coded to allow the key issues, both derived from the literature and emerging from the dataset, to be easily retrieved at a later stage. An initial coding frame can help capture these issues and can be applied systematically to the whole dataset with the aid of a qualitative data analysis software package.

The Framework approach is a practical approach, comprising of five stages (familiarisation; identifying a thematic framework; indexing; charting; mapping and interpretation) , to managing and analysing large datasets particularly if time is limited, as was the case in our study of recruitment of South Asians into asthma research (Table ​ (Table1 1 )[ 3 , 24 ]. Theoretical frameworks may also play an important role in integrating different sources of data and examining emerging themes. For example, we drew on a socio-technical framework to help explain the connections between different elements - technology; people; and the organisational settings within which they worked - in our study of the introduction of electronic health record systems (Table ​ (Table3 3 )[ 5 ]. Our study of patient safety in undergraduate curricula drew on an evaluation-based approach to design and analysis, which emphasised the importance of the academic, organisational and practice contexts through which students learn (Table ​ (Table4 4 )[ 6 ].

Case study findings can have implications both for theory development and theory testing. They may establish, strengthen or weaken historical explanations of a case and, in certain circumstances, allow theoretical (as opposed to statistical) generalisation beyond the particular cases studied[ 12 ]. These theoretical lenses should not, however, constitute a strait-jacket and the cases should not be "forced to fit" the particular theoretical framework that is being employed.

When reporting findings, it is important to provide the reader with enough contextual information to understand the processes that were followed and how the conclusions were reached. In a collective case study, researchers may choose to present the findings from individual cases separately before amalgamating across cases. Care must be taken to ensure the anonymity of both case sites and individual participants (if agreed in advance) by allocating appropriate codes or withholding descriptors. In the example given in Table ​ Table3, 3 , we decided against providing detailed information on the NHS sites and individual participants in order to avoid the risk of inadvertent disclosure of identities[ 5 , 25 ].

What are the potential pitfalls and how can these be avoided?

The case study approach is, as with all research, not without its limitations. When investigating the formal and informal ways undergraduate students learn about patient safety (Table ​ (Table4), 4 ), for example, we rapidly accumulated a large quantity of data. The volume of data, together with the time restrictions in place, impacted on the depth of analysis that was possible within the available resources. This highlights a more general point of the importance of avoiding the temptation to collect as much data as possible; adequate time also needs to be set aside for data analysis and interpretation of what are often highly complex datasets.

Case study research has sometimes been criticised for lacking scientific rigour and providing little basis for generalisation (i.e. producing findings that may be transferable to other settings)[ 1 ]. There are several ways to address these concerns, including: the use of theoretical sampling (i.e. drawing on a particular conceptual framework); respondent validation (i.e. participants checking emerging findings and the researcher's interpretation, and providing an opinion as to whether they feel these are accurate); and transparency throughout the research process (see Table ​ Table8 8 )[ 8 , 18 - 21 , 23 , 26 ]. Transparency can be achieved by describing in detail the steps involved in case selection, data collection, the reasons for the particular methods chosen, and the researcher's background and level of involvement (i.e. being explicit about how the researcher has influenced data collection and interpretation). Seeking potential, alternative explanations, and being explicit about how interpretations and conclusions were reached, help readers to judge the trustworthiness of the case study report. Stake provides a critique checklist for a case study report (Table ​ (Table9 9 )[ 8 ].

Potential pitfalls and mitigating actions when undertaking case study research

Stake's checklist for assessing the quality of a case study report[ 8 ]

Conclusions

The case study approach allows, amongst other things, critical events, interventions, policy developments and programme-based service reforms to be studied in detail in a real-life context. It should therefore be considered when an experimental design is either inappropriate to answer the research questions posed or impossible to undertake. Considering the frequency with which implementations of innovations are now taking place in healthcare settings and how well the case study approach lends itself to in-depth, complex health service research, we believe this approach should be more widely considered by researchers. Though inherently challenging, the research case study can, if carefully conceptualised and thoughtfully undertaken and reported, yield powerful insights into many important aspects of health and healthcare delivery.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AS conceived this article. SC, KC and AR wrote this paper with GH, AA and AS all commenting on various drafts. SC and AS are guarantors.

Pre-publication history

The pre-publication history for this paper can be accessed here:

http://www.biomedcentral.com/1471-2288/11/100/prepub

Acknowledgements

We are grateful to the participants and colleagues who contributed to the individual case studies that we have drawn on. This work received no direct funding, but it has been informed by projects funded by Asthma UK, the NHS Service Delivery Organisation, NHS Connecting for Health Evaluation Programme, and Patient Safety Research Portfolio. We would also like to thank the expert reviewers for their insightful and constructive feedback. Our thanks are also due to Dr. Allison Worth who commented on an earlier draft of this manuscript.

• Yin RK. Case study research, design and method. 4. London: Sage Publications Ltd.; 2009. [ Google Scholar ]
• Keen J, Packwood T. Qualitative research; case study evaluation. BMJ. 1995; 311 :444–446. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Sheikh A, Halani L, Bhopal R, Netuveli G, Partridge M, Car J. et al. Facilitating the Recruitment of Minority Ethnic People into Research: Qualitative Case Study of South Asians and Asthma. PLoS Med. 2009; 6 (10):1–11. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Pinnock H, Huby G, Powell A, Kielmann T, Price D, Williams S, The process of planning, development and implementation of a General Practitioner with a Special Interest service in Primary Care Organisations in England and Wales: a comparative prospective case study. Report for the National Co-ordinating Centre for NHS Service Delivery and Organisation R&D (NCCSDO) 2008. http://www.sdo.nihr.ac.uk/files/project/99-final-report.pdf
• Robertson A, Cresswell K, Takian A, Petrakaki D, Crowe S, Cornford T. et al. Prospective evaluation of the implementation and adoption of NHS Connecting for Health's national electronic health record in secondary care in England: interim findings. BMJ. 2010; 41 :c4564. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Pearson P, Steven A, Howe A, Sheikh A, Ashcroft D, Smith P. the Patient Safety Education Study Group. Learning about patient safety: organisational context and culture in the education of healthcare professionals. J Health Serv Res Policy. 2010; 15 :4–10. doi: 10.1258/jhsrp.2009.009052. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• van Harten WH, Casparie TF, Fisscher OA. The evaluation of the introduction of a quality management system: a process-oriented case study in a large rehabilitation hospital. Health Policy. 2002; 60 (1):17–37. doi: 10.1016/S0168-8510(01)00187-7. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Stake RE. The art of case study research. London: Sage Publications Ltd.; 1995. [ Google Scholar ]
• Sheikh A, Smeeth L, Ashcroft R. Randomised controlled trials in primary care: scope and application. Br J Gen Pract. 2002; 52 (482):746–51. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• King G, Keohane R, Verba S. Designing Social Inquiry. Princeton: Princeton University Press; 1996. [ Google Scholar ]
• Doolin B. Information technology as disciplinary technology: being critical in interpretative research on information systems. Journal of Information Technology. 1998; 13 :301–311. doi: 10.1057/jit.1998.8. [ CrossRef ] [ Google Scholar ]
• George AL, Bennett A. Case studies and theory development in the social sciences. Cambridge, MA: MIT Press; 2005. [ Google Scholar ]
• Eccles M. the Improved Clinical Effectiveness through Behavioural Research Group (ICEBeRG) Designing theoretically-informed implementation interventions. Implementation Science. 2006; 1 :1–8. doi: 10.1186/1748-5908-1-1. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Netuveli G, Hurwitz B, Levy M, Fletcher M, Barnes G, Durham SR, Sheikh A. Ethnic variations in UK asthma frequency, morbidity, and health-service use: a systematic review and meta-analysis. Lancet. 2005; 365 (9456):312–7. [ PubMed ] [ Google Scholar ]
• Sheikh A, Panesar SS, Lasserson T, Netuveli G. Recruitment of ethnic minorities to asthma studies. Thorax. 2004; 59 (7):634. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Hellström I, Nolan M, Lundh U. 'We do things together': A case study of 'couplehood' in dementia. Dementia. 2005; 4 :7–22. doi: 10.1177/1471301205049188. [ CrossRef ] [ Google Scholar ]
• Som CV. Nothing seems to have changed, nothing seems to be changing and perhaps nothing will change in the NHS: doctors' response to clinical governance. International Journal of Public Sector Management. 2005; 18 :463–477. doi: 10.1108/09513550510608903. [ CrossRef ] [ Google Scholar ]
• Lincoln Y, Guba E. Naturalistic inquiry. Newbury Park: Sage Publications; 1985. [ Google Scholar ]
• Barbour RS. Checklists for improving rigour in qualitative research: a case of the tail wagging the dog? BMJ. 2001; 322 :1115–1117. doi: 10.1136/bmj.322.7294.1115. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mays N, Pope C. Qualitative research in health care: Assessing quality in qualitative research. BMJ. 2000; 320 :50–52. doi: 10.1136/bmj.320.7226.50. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Mason J. Qualitative researching. London: Sage; 2002. [ Google Scholar ]
• Brazier A, Cooke K, Moravan V. Using Mixed Methods for Evaluating an Integrative Approach to Cancer Care: A Case Study. Integr Cancer Ther. 2008; 7 :5–17. doi: 10.1177/1534735407313395. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Miles MB, Huberman M. Qualitative data analysis: an expanded sourcebook. 2. CA: Sage Publications Inc.; 1994. [ Google Scholar ]
• Pope C, Ziebland S, Mays N. Analysing qualitative data. Qualitative research in health care. BMJ. 2000; 320 :114–116. doi: 10.1136/bmj.320.7227.114. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Cresswell KM, Worth A, Sheikh A. Actor-Network Theory and its role in understanding the implementation of information technology developments in healthcare. BMC Med Inform Decis Mak. 2010; 10 (1):67. doi: 10.1186/1472-6947-10-67. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Malterud K. Qualitative research: standards, challenges, and guidelines. Lancet. 2001; 358 :483–488. doi: 10.1016/S0140-6736(01)05627-6. [ PubMed ] [ CrossRef ] [ Google Scholar ]
• Yin R. Case study research: design and methods. 2. Thousand Oaks, CA: Sage Publishing; 1994. [ Google Scholar ]
• Yin R. Enhancing the quality of case studies in health services research. Health Serv Res. 1999; 34 :1209–1224. [ PMC free article ] [ PubMed ] [ Google Scholar ]
• Green J, Thorogood N. Qualitative methods for health research. 2. Los Angeles: Sage; 2009. [ Google Scholar ]
• Howcroft D, Trauth E. Handbook of Critical Information Systems Research, Theory and Application. Cheltenham, UK: Northampton, MA, USA: Edward Elgar; 2005. [ Google Scholar ]
• Blakie N. Approaches to Social Enquiry. Cambridge: Polity Press; 1993. [ Google Scholar ]
• Doolin B. Power and resistance in the implementation of a medical management information system. Info Systems J. 2004; 14 :343–362. doi: 10.1111/j.1365-2575.2004.00176.x. [ CrossRef ] [ Google Scholar ]
• Bloomfield BP, Best A. Management consultants: systems development, power and the translation of problems. Sociological Review. 1992; 40 :533–560. [ Google Scholar ]
• Shanks G, Parr A. Proceedings of the European Conference on Information Systems. Naples; 2003. Positivist, single case study research in information systems: A critical analysis. [ Google Scholar ]

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• Case Study | Definition, Examples & Methods

Case Study | Definition, Examples & Methods

Published on 5 May 2022 by Shona McCombes . Revised on 30 January 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating, and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyse the case.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

Unlike quantitative or experimental research, a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

If you find yourself aiming to simultaneously investigate and solve an issue, consider conducting action research . As its name suggests, action research conducts research and takes action at the same time, and is highly iterative and flexible. 

However, you can also choose a more common or representative case to exemplify a particular category, experience, or phenomenon.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews, observations, and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data .

The aim is to gain as thorough an understanding as possible of the case and its context.

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis, with separate sections or chapters for the methods , results , and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyse its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

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Writing a Case Study

What is a case study?

A Case study is: 

• An in-depth research design that primarily uses a qualitative methodology but sometimes​​ includes quantitative methodology.
• Used to examine an identifiable problem confirmed through research.
• Used to investigate an individual, group of people, organization, or event.
• Used to mostly answer "how" and "why" questions.

What are the different types of case studies?

Note: These are the primary case studies. As you continue to research and learn

about case studies you will begin to find a robust list of different types. 

Who are your case study participants?

What is triangulation ? 

Validity and credibility are an essential part of the case study. Therefore, the researcher should include triangulation to ensure trustworthiness while accurately reflecting what the researcher seeks to investigate.

How to write a Case Study?

When developing a case study, there are different ways you could present the information, but remember to include the five parts for your case study.

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ORIGINAL RESEARCH article

Examining the complex relationship between urbanization and ecological environment in ecologically fragile areas: a case study in southwest china.

• 1 Chengdu University of Technology, Chengdu, Sichuan Province, China
• 2 Neijiang Normal University, Neijiang, Sichuan, China
• 3 Sichuan Institute of Administration, Chengdu, China
• 4 Jinjiang College, Sichuan University, Meishan, China

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The sustainable development of ecologically fragile areas and the implementation of regional coordinated development strategy cannot be separated from the coordinated development and common progress of urbanization and ecological environment, and this is particular the case in Southwest China. This study examines the interplay between urbanization and the ecological environment across 26 cities in Southwest China from 2009 to 2019, utilizing 30 statistical indicators to analyze their coupling coordination relationship and its spatiotemporal evolution. Entropy TOPSIS method, coupling coordination degree model and obstacle factors model were used to calculate the subsystem score, coupling coordination degree and its obstacle factors. Our findings reveal an upward trajectory in urbanization scores across the 26 cities, juxtaposed with a fluctuating downward trend in ecological environment scores. The coupling coordination degree of urbanization and ecological environment of most cities maintained a rapid upward trend, and showed spatial distribution characteristics of "strong core, weak middle and edge". Moreover, our analysis identifies public transport facilities, aggregate purchasing power and cultural supply service services as primary obstacle factors impeding the development of coupling coordination degrees. These research results offer valuable insights for informing future endeavors in achieving high-quality development and fostering ecological civilization.

Keywords: Urbanization, Ecological environment, Coupling coordination degree, obstacle factors model, southwest China

Received: 19 Dec 2023; Accepted: 10 Apr 2024.

Copyright: © 2024 Liu, Guo, Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Lanyue Zhang, Jinjiang College, Sichuan University, Meishan, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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Recommended LNG Commercialization Strategy to Maintain Business Sustainability in the Global LNG Market: A Case Study of PPTETS

• Ira Fachira  

Ira Fachira

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LNG supply and demand growth have steadily increased in the past 12 months, recovering from pandemic-related outages in early 2021. Supported by increased LNG supply and demand, a surge in LNG trading has been seen across the world, and there is no indication of slowing down in the near future. Those situations become the opportunity for an LNG seller who has the potential uncommitted LNG supply to be offered to the buyer. PPTETS (which is not a complete name of the company, but a real Singapore registered company), which is owned 100% by PPTET Ty (which is not a complete name of the company, but a real Japan registered company), which is a joint venture company between Pertamina and various Japanese utility & power companies, is required to anticipate that opportunity. With consideration of the dynamic changes in global LNG market development, PPTETS needs to formulate the company’s business strategy, which is intended to seize future business opportunities.

The main objective of this research is to formulate a PPTETS LNG commercialization business strategy to generate profit and maintain sustainability in the global LNG market. The analysis will consider both primary and secondary data, with underlying theoretical for external factors such as PESTEL analysis and Porter’s Five Forces, while for internal factors analysis will utilize a resource-based view and VRIO. As a synthesis of the company’s internal and external analysis, SWOT analysis and TOWS matrix will then be utilized. Finally, based on the analysis and formulation that has been conducted, it could be concluded that PPTETS has the opportunity and capabilities to maintain its business sustainability by trading in the global LNG market. After considering several findings from both external and internal factors of primary and secondary data, aside from cost focus leadership as a generic competitive strategy, there are 3 (three) specific business strategies recommended to PPTETS in order to generate profit and maintain sustainability, which are (i) collaboration with Pertamina, (ii) developing PPTETS internal procedures, and (iii) further PPTETS’ business development.

Introduction

Initially, the LNG business is supported by long-term sales and purchase agreements. LNG contracts have become more flexible, have shorter duration options, and have flexibility on the destination. Moreover, the flexible transportation of LNG has supported gas commercialization globally. According to BP’s Energy Outlook ( BP, 2022 ), LNG trade increases emerging Asia’s access to natural gas, supporting economic growth and a shift to lower-carbon fuels. The growing LNG demand and market liquidity have attracted new players to expand their presence in global LNG trading. These include international and national oil companies, commodity traders, and LNG sellers/buyers. Price arbitrage opportunities have led to a greater role of middlemen in connecting new and diverse sources of supply and demand. This LNG trading opportunity has led to the commoditization of LNG. Unlike the point-to-point delivery from the liquefaction terminal to the end consumer in the past, LNG can now change hands multiple times or take several routes to reach the market/end user.

PPTETS is a Singapore-registered company owned 100% by PPTET Ty. PPTET Ty is a Japan-registered company and a joint venture between Pertamina and various Japanese utility and power companies. PPTET Ty has a long history of handling LNG cargo delivery from Indonesia to several buyers in Japan, Korea, and Taiwan since 1976. To maintain its LNG business activity, PPTETS was established in 2016, and it is intended mainly to trade LNG in the global LNG market. PPTETS can participate in a particular value chain to generate profit as an LNG trader in the global LNG market. PPTETS business structure for having revenue comes from buying and selling LNG and gaining margin from the discrepancy value of traded volume (positive discrepancy from selling of buying). PPTETS could become an LNG seller when it already has an LNG source and is willing to sell it to potential buyers, and it can be an LNG buyer when PPTETS buys from a potential seller and sells it to the market. As the main volume to be traded, long-term LNG contracts from Pertamina have been secured by PPTETS. On top of that, several minor portions of LNG cargo can be secured on a spot basis and then sold to the global LNG market.

Since its establishment in 2016, PPTETS has experienced dynamic business performance, particularly in gross profit. Financial performance (positive profit) is one of the bottom lines for the company to achieve its goal and can affect its business sustainability. For the first 3 (three) years after its establishment, the company experienced growth positive profit, while in 2019–2020, it experienced negative profit. Those profit dynamics fluctuate widely and can be too much for PPTETS to manage. 2020 was the most negative year for commercial activity, and the situation inflicted severe setbacks on the business. Align with the COVID-19 pandemic recovery in mid-2021, LNG consumption rose. Despite the LNG market strengthening and global economic recovery, PPTETS business performance is improving.

While the current PPTETS financial performance is improving, considering the dynamic changes in global LNG market development, the possibility of the company experiencing a similar problem must be mitigated. Learning from the previous case by understanding the root cause of negative profit, the company’s business strategy needs to be formulated to avoid or mitigate future potential similar occurrences and seize future business opportunities.

Literature Review

The increase in LNG supply-demand to support the LNG trading business environment is predicted in many publications, and it will create an opportunity for PPTETS to maintain its current LNG trading as its core business from 2023 onwards. In the 21st century, with the growing awareness about climate change and the role of fossil fuels in the greenhouse effect, the world is looking for cleaner alternatives for energy sources, including the active use of LNG. LNG trade volumes have increased over 3 times in the last 20 years and reached almost 50% of global natural gas trade ( Filimonova et al ., 2022 ).

The most common way to make money in LNG trading is by moving cargoes from supplier regions into growing gas markets that lack pipeline connectivity while taking advantage of the regional price arbitrage ( Gupta & Pascual, 2020 ). That statement supports the basic business idea for an LNG trader in creating margin by optimizing price differences across the regions and by understanding price and supply-demand differences among several locations.

Following the AFI framework, business strategy development for PPTETS starts from the analysis stage and will consider both primary and secondary data. In the analysis, an exploration of the external and internal situation of the LNG trading business will be conducted, and PPTETS’ competitive advantage will be examined in order for PPTETS to optimize current business activity and overcome future business challenges. The following framework that will be used to synthesize the company’s internal and external analysis is the SWOT analysis, which the TOWS matrix will follow. SWOT analysis will be used to identify favorable internal and external factors and support business objectives on which PPTETS needs to be focused.

The framework diagram in Fig. 1 will be used in this research:

Fig. 1. The conceptual framework.

The conceptual framework of the final project follows the AFI framework. Primary and secondary data collection will be organized to cover external and internal business situations. PESTEL analysis would then be used as a strategic framework to evaluate the business environment, combined with Porter’s Five Forces. Internal analysis to assess the company’s competitive advantage will use a resource-based view and a VRIO analysis framework. After that, the business solution would be formulated using the SWOT and TOWS matrix, followed by Porter’s generic strategic framework. Lastly, an implementation plan would be proposed.

Research Methodology

Research methodology is a systematic framework to solve the research problem by using the most feasible methods in conducting the research, particularly in answering the questions in this research objectives. The research method that will be used in this final project is qualitative research. Qualitative research is concerned with the subjective assessment of opinions. Research in such a situation is a function of insights and impressions to generate results either in a non-quantitative form or in a form that is not subjected to rigorous quantitative analysis ( Kothari, 2004 ).

Research Design

The basic methodology for this research is qualitative and is directed toward solving a business problem by taking a specific PPTETS case study. The problem examination and proposed solutions analysis for this research will be formalized for specific cases, taking perspective from commercial interest. An initial step in performing this research is specifying the clear objective of the research, which is to ensure that the data collected is relevant. It is continued with the data collection method. Primary data will be acquired from the interviews, while secondary data will be acquired from existing company data and the latest publications or other research. After compiling all information and required relevant data, further analysis will be made in alignment with the conceptual framework.

Data Collection Method

In order to obtain objective data, this research will use two types of data sources: primary data and secondary data. Primary data will be generated by conducting direct interviews with stakeholders who are involved directly in the PPTETS’ business process. Secondary data will be organized from existing internal PPTETS recorded data and available external sources, such as publications, accessible books, research, journals, or articles.

Data Analysis Method

With reference to primary and secondary data, all the information is summarized and organized into relevant categories (coding of data). Briefly, the hierarchy framework that would be used to analyze the data is shown in Fig. 2 .

Fig. 2. Data analysis framework.

Results and Discussion

For the primary data, the interview with PPTETS stakeholders who are directly involved in the business activities was conducted online in January 2023, considering the geographical dispersed, and it is more convenient regarding recording requirements and time management. There are 5 interviewees, which requires around 20 minutes for each interview process. After the primary data is collected, it is combined with some secondary data references. Positive findings are opportunities/strengths/possible improvements for PPTETS in answering business problems and are organized to answer relevant factors, such as manpower, marketing, sales and contract implementation, customer, market, and product.

External analysis is comprehensively conducted using PESTEL analysis and Porter’s Five Forces analysis. The initial internal analysis is being conducted by evaluating PPTETS’ internal resources, which will be further used in VRIO analysis. The evaluation will elaborate further on some information from both primary and secondary data. By doing that, a formulated business strategy is expected to become more appropriate and enhance PPTETS’ chances of gaining a competitive advantage.

Tangible Resources

• Financial capability: It is a company’s cash/credit line capacity to support its LNG trading activity. This resource is identified to answer possible business problems related to marketing activity. When PPTETS has adequate financial capability, the commercialization process in the LNG trading business activity can be performed.
• Physical office and its location: PPTETS has a physical office in Singapore where several employees are stationed and have their daily business activities in the office. The office is also equipped with adequate equipment for daily business activities, particularly for supporting the business administration of LNG sales and the implementation of purchase contracts. The physical office and its location in Singapore are tangible resources for PPTETS, identified to answer several possible causes of business problems, such as customer, sales and contract implementation, and marketing activity.
• Internal procedures: The current PPTETS business process basically covers LNG trading activities only, as per the current mandate from shareholders. It covers LNG procurement from suppliers until LNG sales to customers. The internal procedure could be classified as a tangible resource for PPTETS as it is written (there is physical evidence). It has been identified to answer several possible causes of business problems, from marketing activity to sales and contract implementation.

Intangible Resources

• i) Employee: It is related to their knowledge and experience working in the LNG business, which is a current core business of PPTETS. This resource has been identified to answer possible causes of business problems, particularly related to the manpower category.
• ii) Company reputation: It is identified as an intangible resource to answer possible causes of business problems, particularly related to the marketing category. A company’s reputation is important in supporting its relationship with all related stakeholders and gaining trust. This reputation is assumed from counterpart perception and their willingness to cooperate with PPTETS. It also considers PPTETS’ history in managing the LNG business.
• iii) Company culture: It is identified as an intangible resource to answer the possible causes of business problems, particularly related to employees and marketing categories. As a subsidiary of PPTET Ty, a joint venture company between Pertamina and various Japanese utility and power companies, PPTETS has a culture that refers to its ultimate shareholder. While there is trust and integrity among the employees, teamwork and eagerness to grow (willingness to adapt and learn new business dynamics) are also becoming employee cultures.

After evaluating PPTETS’s internal key resources and capabilities, the VRIO framework is used through four lenses to determine the company’s competitive advantage level (see Table I for a summary).

Based on the above VRIO framework analysis, PPPTETS has two sustainable competitive advantages, which are employee and company reputation. In addition, the internal procedure is a temporary competitive resource for PPTETS. While a temporary advantage may provide an advantage for a short period, a sustainable competitive advantage resource is one that can persist over many periods, and it is difficult for other companies to imitate the resource or substitute it with an alternative approach.

Business Solution

Swot analysis.

SWOT analysis of PPTETS’ internal and external factors in doing global LNG trading business is summarized in Table II .

TOWS Matrix

A brief TOWS matrix is briefly presented in Table III .

Following several possible causes of the PPTETS business problem that have been identified, appropriate alternative strategies could be minimized by matching with the above TWOS matrix. The mentioned alternative strategy is developed in Table IV , which shows the pair of possible problems that cause category and alternative business strategies to be recommended.

Generic Competitive Strategy

For the case of PPTETS, when considering an LNG trading business with a narrow competitive scope, the applicable strategy is using focus. The focus of strategy involves concentrating efforts on customers with unique needs or wants. Hence, PPTETS can select a segment or group of segments in the industry and tailor its strategy to serve them to the exclusion of others.

Further, considering the TOWS matrix, where there is a concern for increasing revenue and company cost optimization, the nature of LNG product, which is relatively complex to differentiate it from other manufacturer products, the suggested appropriate generic strategy is cost focus.

Implementation Plan and Justification

Besides the cost focus that is proposed to be a generic competitive strategy for PPTETS, the order of priorities is made with consideration to the expected impact of the specific strategy on PPTETS and the difficulty of each strategy. The recommended priority of each strategy is as follows:

• Collaboration with Pertamina, with consideration that it will have an immediate impact on PPTETS business performance.
• Internal procedure development, with consideration that currently, it will mainly be needed to anticipate further PPTETS’ business opportunity, and the impact will not be immediate to PPTETS business performance.
• Business development, considering that this strategy will impact future PPTETS business performance and can be performed after having internal procedures.

A timeline of the above strategies is given in Table V .

Conclusion and Recommendations

From primary and secondary data analysis, it is found that global LNG trading is still growing and allowing PPTETS. Moreover, it is becoming more dynamic and liquid, with more global transactions across regions. The fluctuation in LNG prices is allowing PPTETS to generate more profit. Porter’s Five Forces analysis shows that the recent LNG trading industry has low buyer power, the threat of substitutes, and the threat of entry. Those situations benefit PPTETS in generating enough revenue to support its business sustainability and allow further business development.

From the VRIO analysis, PPTETS has strengths that could be explored to anticipate the opportunity. As an LNG trader, PPTETS has a good reputation and proven record for operational excellence and flexibility to prioritize customer satisfaction. Having a successful business story handling LNG business becomes the main attribute for PPTETS to have this internal capability. In performing LNG trading, PPTETS is an agile organization that adapts to market development. In terms of employee capabilities, despite having experienced employees, it is also supported by several secondees coming from Pertamina, who already have experience and capabilities in managing LNG business.

Finally, based on the analysis and formulation conducted, it could be concluded that PPTETS has the opportunity and capabilities to maintain its business sustainability by trading in the global LNG market. In addition, several findings could support the PPTETS business, which has considered both external and internal factors from primary and secondary data. From the analysis, several business strategies could be proposed to be implemented by PPTETS, such as collaboration with Pertamina, developing PPTETS internal procedures, and further developing PPTETS’ business development.

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