thesis title about lending company

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EVALUATION ON THE EFFECTIVENESS OF THE CREDIT AND COLLECTION POLICIES AND PRACTICES OF SELECTED MULTI-PURPOSE COOPERATIVES IN BOHOL, PHILIPPINES

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This study aims to solve the problems encountered in the cooperatives in the Philippines by developing a system. It followed a Waterfall Model under the Software Development Life Cycle (SDLC) in the development and evaluating the design. The system caters to all significant transactions done by a credit cooperative from record management, creating members and applications for loans, generating amortization schedules, loan payments, generating reports, and tracking members’ transactions. A survey questionnaire was used to determine the effectiveness of the application as rated by the respondents. Upon completing the study, it found out that the respondents wanted the system to be implemented for better and well-managed transactions in their cooperative.

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This study was undertaken to determine how efficient are the collection techniques used by lending companies in Ermita, Manila. The goal of the study was to determine the following: (1) the profile of the respondents in terms of years of operation, average receivables, ranking of collection priorities, bases in credit granting and bad debts avoidance strategies ? (2) the most used collection techniques adopted by the respondents ? (3) the way the respondents deal with delinquent accounts? (4) the average receivable collection period of the respondents? (5) the bad debts percentage of the respondents? (6) the level of efficiency of adopted collection techniques of the respondents in consideration of their realized: a) average receivable collection period : b) bad debts percentage? (7) significant difference on the level of efficiency of adopted collection techniques of the respondents in consideration of their realized : a) average receivable collection period : b) bad debts percentage? Further, descriptive research design was used in the study to know the responses of the lending institutions on their efficiency of collection techniques. A survey questionnaires were administered to 60 lending companies operating in Ermita, Manila to obtain and acquire the needed information.. Findings revealed that most lending companies are having a monthly average receivable of Php 1,000,000 and above and are prioritizing due debts in collection and have been operating for more than 6 years and a monthly average receivable amounting to P1,000,000 and above. Most of the lending companies try to avoid having bad debts by strict terms of condition placed on their customers, setting credit limits and customer checking. In order to collect customer payments, the lending companies follow-up their customer mainly through mails, or electronic transactions like calls often to remind them of their obligations. Results also indicates that the lending firms deal with delinquent and default payers by doing follow-ups once a month and calling repetitively. The firms accumulate their clients' debt within 60 days which indicate that they stand a 90% chance of collection. The lending institutions are efficient in 2 out of 2 parameters which are Average Receivable in Collection Period and bad debts percentage in measuring collection performance. Statistics shows that the accounts receivable period is nearer to one, hence it has more impact received from the level of efficiency of collection techniques. Further, there is no significant difference on the level of efficiency of adopted collection techniques.

Reinhard Schmidt

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Objective – The aim of this study is to assess the financial performance of credit cooperatives in Malaysia. Design/methodology – This study utilizes the unpublished financial data of credit cooperatives from the Malaysian Cooperative Commission. This study picks 9 credit cooperatives which serially listed in 100 best cooperatives from 2010 to 2017. Five basic financial ratios (equity ratio, liquidity ratio, leverage ratio, profitability ratio, and dividend payout ratio) were calculated to measure the financial performance. Results – The result shows that the equity ratio is in the range of 0.61 to 0.9 possibly because credit cooperatives utilize more funding from shareholder equity compared to debt. The result also shows a high dividend pay-out ratio. However, the liquidity ratio is still low and credit cooperatives that score the highest liquidity ratio might be due to the age of establishment. Last but not least, the leverage ratios and profitability ratios of Malaysian credit co...

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Ai Ilah Warnilah

The Savings and Loan Cooperative of Simpeunan Pameungkeut Banda is a cooperative that has been established in Tasikmalaya. The system of lending currently used at Simpeunan Pameungkeut Banda Cooperative is still manual, so the management requires quite a long time. Besides that, the cooperative has not had a system that supports in determining the credit worthiness decision. Thus, the credit is not on target, because it does not fit the specified criteria. For this reason, the writers were to make a research on the comparison of weighted product and smart methods in determining credit worthiness in Pameungkeut Banda Cooperative. The purpose of research was to determine who were eligible and who were not eligible to get the credit given the criteria that have been determined using the Weighted Product method and SMART methods. The results of the analysis using the Weighted Product method obtained the highest value of 0.067 and the lowest value of 0.032, while SMART method obtained th...

Murillo Dias

This case investigated the credit cooperatives in Brazil, in comparison with the world’s largest ones. In Latin America, the first credit cooperative was created by the Swiss priest Theodor Armstad, on December 28th, 1902, at Nova Petrópolis, Rio Grande do Sul state, southern Brazil: Caixa de Economias e Empréstimos Armstad (Armstad Savings and Loans Bank. The first Brazilian credit cooperative is still working, renamed as Cooperativa Sicredi Pioneira. However, Brazilian Federal Government only regulated Cooperatives through the adoption of Law no 5,764, on December 16, 1971, after 69 years from creation. There are currently 13 different types of cooperatives operating in Brazil (Credit ones included), which are represented by the Brazilian Cooperatives Organization (Organização das Cooperativas Brasileiras – OCB). In this article we compared the current facts and figures of the Brazilian credit cooperatives along with World Co-operative Monitor’s, discussed in this single case stud...

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CREDIT RISK MANAGEMENT ON PROFITABILITY OF SAVING AND CREDITS COOPERATIVES by M. Nathanael and N. Alice

MUHIRE NATHANAEL

This study sought to examine the contribution of credits risk management on profitability of SACCOs, with the case study of Unguka Gihombo SACCO, through identifying the credit risk management strategies applied, assessing the indicators of profitability level and analyzing relationship between credit risk management and profitability level, in Unguka Gihombo, from 2017-2019. The problem statement was that slight increase in NPLs results in the fact that the asset quality of Rwanda’s microfinance system remains unhealthy. The literature review defined key concepts and developed theoretical conceptual and empirical framework regarding the relationship between credits risk management and profitability SACCOs. The sample size of 99 staff members, board members, committee members and some of general assembly members were selected from 8209 members of Unguka Gihombo SACCO to answer to questionnaire for qualitative and quantitative analysis, with the help of SPSS computer packages, version 20. It was revealed Unguka Gihombo SACCO had set up credit risk management strategies where the respondents agreed at the consideration of character, capacity, capital, conditions and collateral of the applicant, with the mean value of 1.89, requesting for collateral substitutes at the mean value of 1.90, lending money to groups at the mean value of 2.25, and consideration of previous credit repayment at the mean value of 1.92, from which the cooperative proved its profitability through decrease in non-performing loan ratio at 5%, the return on asset between 3% and 5% and return on equity between 10% and 14% and the profit margin shifting upward from 9% throughout a three-year period as long as the cooperative’s risk credit management positively affected its profitability; the cooperative’s loan growth results in decrease in non-performing loans; risk credit management diversification helped reduce the problem of bad loans; the cooperative’s lending growth was the result of a good credit risk management and the cooperative was benefitting due to disbursed loans as agreed by the respondents, with the respective mean value between 1.5 and 2.4. It was concluded that there is a significant contribution of credit risk management on the profitability of Saving and Credit Cooperatives, and credits risk management and performance of microfinance institutions in Rwanda was suggested for further researchers.

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The Savvy Scientist

Experiences of a London PhD student and beyond

Thesis Title: Examples and Suggestions from a PhD Grad

When you’re faced with writing up a thesis, choosing a title can often fall to the bottom of the priority list. After all, it’s only a few words. How hard can it be?!

In the grand scheme of things I agree that picking your thesis title shouldn’t warrant that much thought, however my own choice is one of the few regrets I have from my PhD . I therefore think there is value in spending some time considering the options available.

In this post I’ll guide you through how to write your own thesis title and share real-world examples. Although my focus is on the PhD thesis, I’ve also included plenty of thesis title examples for bachelor’s and master’s research projects too.

Hopefully by the end of the post you’ll feel ready to start crafting your own!

Why your thesis title is at least somewhat important

It sounds obvious but your thesis title is the first, and often only, interaction people will have with your thesis. For instance, hiring managers for jobs that you may wish to apply for in the future. Therefore you want to give a good sense of what your research involved from the title.

Many people will list the title of their thesis on their CV, at least for a while after graduating. All of the example titles I’ve shared below came from my repository of academic CVs . I’d say roughly 30% of all the academics on that page list their thesis title, which includes academics all the way up to full professor.

Your thesis title could therefore feature on your CV for your whole career, so it is probably worth a bit of thought!

My suggestions for choosing a good thesis title

• Make it descriptive of the research so it’s immediately obvious what it is about! Most universities will publish student theses online ( here’s mine! ) and they’re indexed so can be found via Google Scholar etc. Therefore give your thesis a descriptive title so that interested researchers can find it in the future.
• Don’t get lost in the detail . You want a descriptive title but avoid overly lengthy descriptions of experiments. Unless a certain analytical technique etc was central to your research, I’d suggest by default* to avoid having it in your title. Including certain techniques will make your title, and therefore research, look overly dated, which isn’t ideal for potential job applications after you graduate.
• The title should tie together the chapters of your thesis. A well-phrased title can do a good job of summarising the overall story of your thesis. Think about each of your research chapters and ensure that the title makes sense for each of them.
• Be strategic . Certain parts of your work you want to emphasise? Consider making them more prominent in your title. For instance, if you know you want to pivot to a slightly different research area or career path after your PhD, there may be alternative phrasings which describe your work just as well but could be better understood by those in the field you’re moving into. I utilised this a bit in my own title which we’ll come onto shortly.
• Do your own thing. Having just laid out some suggestions, do make sure you’re personally happy with the title. You get a lot of freedom to choose your title, so use it however you fancy. For example, I’ve known people to use puns in their title, so if that’s what you’re into don’t feel overly constrained.

*This doesn’t always hold true and certainly don’t take my advice if 1) listing something in your title could be a strategic move 2) you love the technique so much that you’re desperate to include it!

Thesis title examples

To help give you some ideas, here are some example thesis titles from Bachelors, Masters and PhD graduates. These all came from the academic CVs listed in my repository here .

Bachelor’s thesis title examples

Hysteresis and Avalanches Paul Jager , 2014 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

The bioenergetics of a marine ciliate, Mesodinium rubrum Holly Moeller , 2008 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Functional syntactic analysis of prepositional and causal constructions for a grammatical parser of Russian Ekaterina Kochmar , 2008 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Master’s thesis title examples

Creation of an autonomous impulse response measurement system for rooms and transducers with different methods Guy-Bart Stan , 2000 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Segmentation of Nerve Bundles and Ganglia in Spine MRI using Particle Filters Adrian Vasile Dalca , 2012 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

The detection of oil under ice by remote mode conversion of ultrasound Eric Yeatman , 1986 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Ensemble-Based Learning for Morphological Analysis of German Ekaterina Kochmar , 2010 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

VARiD: A Variation Detection Framework for Color-Space and Letter-Space Platforms Adrian Vasile Dalca , 2010 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Identification of a Writer’s Native Language by Error Analysis Ekaterina Kochmar , 2011 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

On the economic optimality of marine reserves when fishing damages habitat Holly Moeller , 2010 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Sensitivity Studies for the Time-Dependent CP Violation Measurement in B 0 → K S K S K S at the Belle II-Experiment Paul Jager , 2016 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

PhD thesis title examples

Spatio-temporal analysis of three-dimensional real-time ultrasound for quantification of ventricular function Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

The role and maintenance of diversity in a multi-partner mutualism: Trees and Ectomycorrhizal Fungi Holly Moeller , 2015 – Ecology & Marine Biology – UC Santa Barbara Assistant Professor –  direct link to Holly’s marine biology academic CV

Bayesian Gaussian processes for sequential prediction, optimisation and quadrature Michael Osborne , 2010 – Machine Learning – Oxford Full Professor –  direct link to Michael’s machine learning academic CV

Global analysis and synthesis of oscillations: a dissipativity approach Guy-Bart Stan , 2005 – Bioengineering – Imperial Professor –  direct link to Guy-Bart’s bioengineering academic CV

Coarse-grained modelling of DNA and DNA self-assembly Thomas Ouldridge , 2011– Bioengineering – Imperial College London Senior Lecturer / Associate Prof –  direct link to Thomas’ bioengineering academic CV

4D tomographic image reconstruction and parametric maps estimation: a model-based strategy for algorithm design using Bayesian inference in Probabilistic Graphical Models (PGM) Michele Scipioni , 2018– Biomedical Engineer – Harvard Postdoctoral Research Fellow –  direct link to Michele’s biomedical engineer academic CV

Error Detection in Content Word Combinations Ekaterina Kochmar , 2016 – Computer Science – University of Bath Lecturer Assistant Prof –  direct link to Ekaterina’s computer science academic CV

Genetic, Clinical and Population Priors for Brain Images Adrian Vasile Dalca , 2016 – Machine Learning for healthcare – Harvard Assistant Professor & MIT Research Scientist –  direct link to Adrian’s machine learning academic CV

Challenges and Opportunities of End-to-End Learning in Medical Image Classification Paul Jager , 2020 – Medical Imaging – DKFZ Head of ML Research Group –  direct link to Paul’s machine learning academic CV

K 2 NiF 4  materials as cathodes for intermediate temperature solid oxide fuel cells Ainara Aguadero , 2006 – Materials Science – Imperial Reader –  direct link to Ainara’s materials science academic CV

Applications of surface plasmons – microscopy and spatial light modulation Eric Yeatman , 1989 – Electronics – Imperial Professor and Head of Department –  direct link to Eric’s electronics academic CV

Geometric Algorithms for Objects in Motion Sorelle Friedler , 2010 – Computer science – Haverford College Associate Professor –  direct link to Sorelle’s computer science academic CV .

Geometrical models, constraints design, information extraction for pathological and healthy medical image Esla Angelini  – Medicine – Imperial Senior Data Scientist –  direct link to Elsa’s medicine academic CV

Why I regret my own choice of PhD thesis title

I should say from the outset that I assembled my thesis in quite a short space of time compared to most people. So I didn’t really spend particularly long on any one section, including the title.

However, my main supervisor even spelled out for me that once the title was submitted to the university it would be permanent. In other words: think wisely about your title.

What I started with

Initially I drafted the title as something like: Three dimensional correlative imaging for cartilage regeneration . Which I thought was nice, catchy and descriptive.

I decided to go for “correlative imaging” because, not only did it describe the experiments well, but it also sounded kind of technical and fitting of a potential pivot into AI. I’m pleased with that bit of the title.

What I ended up with

Before submitting the title to the university (required ahead of the viva), I asked my supervisors for their thoughts.

One of my well intentioned supervisors suggested that, given that my project didn’t involve verifying regenerative quality, I probably shouldn’t state cartilage regeneration . Instead, they suggested, I should state what I was experimenting on (the materials) rather than the overall goal of the research (aid cartilage regeneration efforts).

With this advice I dialled back my choice of wording and the thesis title I went with was:

Three dimensional correlative imaging for measurement of strain in cartilage and cartilage replacement materials

Reading it back now I’m reminder about how less I like it than my initial idea!

I put up basically no resistance to the supervisor’s choice, even though the title sounds so much more boring in my opinion. I just didn’t think much of it at the time. Furthermore, most of my PhD was actually in a technique which is four dimensional (looking at a series of 3D scans over time, hence 4D) which would have sounded way more sciency and fitting of a PhD.

What I wish I’d gone with

If I had the choice again, I’d have gone with:

Four-dimensional correlative imaging for cartilage regeneration

Which, would you believe it, is exactly what it states on my CV…

Does the thesis title really matter?

In all honesty, your choice of thesis title isn’t that important. If you come to regret it, as I do, it’s not the end of the world. There are much more important things in life to worry about.

If you decide at a later stage that you don’t like it you can always describe it in a way that you prefer. For instance, in my CV I describe my PhD as I’d have liked the title to be. I make no claim that it’s actually the title so consider it a bit of creative license.

Given that as your career progresses you may not even refer back to your thesis much, it’s really not worth stressing over. However, if you’re yet to finalise your thesis title I do still think it is worth a bit of thought and hopefully this article has provided some insights into how to choose a good thesis title.

My advice for developing a thesis title

• Draft the title early. Drafting it early can help give clarity for the overall message of your research. For instance, while you’re assembling the rest of your thesis you can check that the title encompasses the research chapters you’re included, and likewise that the research experiments you’re including fall within what the title describes. Drafting it early also gives more time you to think it over. As with everything: having a first draft is really important to iterate on.
• Look at some example titles . Such as those featured above!
• If you’re not sure about your title, ask a few other people what they think . But remember that you have the final say!

I hope this post has been useful for those of you are finalising your thesis and need to decide on a thesis title. If you’ve enjoyed this article and would like to hear about future content (and gain access to my free resource library!) you can subscribe for free here:

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