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Hello
I am a doctoral student in the field of marketing. My job is the human capital manager of a financial holding that has 14 subsidiary companies operating in the field of digital financial services. Now I am at the time when I want to choose the topic of my doctoral thesis and I am more interested in internal marketing. and to finalize the organizational culture of the issue. I had a very good experience in designing the organizational culture model and the project is ongoing. What topic do you suggest that I research and model?
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It sounds like you are in a wonderful position in that you might have easy access to a significant amount of data. The issue of access is a very important one when choosing your research topic.
The most important issue, though, is your personal motivation. Doctoral studies are never easy (at least they should not be). So, if you are going to spend three to four years digging into all the nuance of any topic, doing so much reading and so much thinking, it really needs to be a topic you are interested in.
It seems you are interested in models related to corporate culture. So, that is a natural path for you to purse. That is the topic.
Next you need to identify a research problem. Perhaps, the same culture does not work equally effectively in each of the 14 subsidiaries.
After that, you will need some purpose, like to determine what factors are most important in each of the various business units.
Finally, you will need a research question. For example, why does the power of these factors in the model load differently in each of the subsidiaries? Or how does leadership style of the business unit impact the most effective choices of organizational culture?
The big thing is, you need to do the work. That really means reading and thinking. Those things time time. But, once you have done it, you will start to see what is most interesting to you.
Good luck!
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According to the European Digital Strategy "The future of finance is digital: consumers and businesses are increasingly using digital financial services, innovative market participants are implementing new technologies, and existing business models are changing. Digital finance has helped citizens and businesses cope with the unprecedented situation created by the COVID19 pandemic. For example, online identity verification has enabled consumers to open accounts and use many financial services remotely. An increasing proportion of in-store payments are now digital and contactless, and online purchases (e-commerce) have grown significantly. FinTech solutions have helped expand and accelerate access to loans, including government-backed loans in response to the COVID-19 pandemic. Ensuring the safe and reliable operation of digital infrastructures has also become more important as the number of people using online financial services has increased and financial sector employees are themselves working remotely." Moreover, in the context of the European Green Agreement 2050 and the green transition, an essential role is played by innovative financial instruments supporting both the business environment and the final beneficiaries as individual consumers.
Therefore, from a personal point of view, digital finance, open finance, entrepreneurial finance and green finance are pillars of sustainable societal development at the local and global level.
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innovative digital finance can provide 360-degree support to satisfy the financial needs of companies and individuals in the context of multiple crises by:
1. Enhanced Accessibility: Digital finance platforms make financial services more accessible to individuals and companies, including those in remote or underserved areas, through mobile banking, online lending, and digital wallets.
2. Efficiency and Speed: Digital solutions streamline financial transactions, reducing processing times and costs, which is crucial during crises when quick access to funds is essential.
3. Risk Management: Digital tools such as blockchain, AI, and big data analytics improve risk assessment and fraud detection, enhancing the security and reliability of financial services.
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What are the major challenges faced by small and marginal farmers in accessing credit and financial services?
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The major challenge is the dominance of big commercial companies.
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I need to know the stages and steps of the stratified random sampling process.
In addition, What random sampling process will best suit collecting data from mobile financial service users and non-users?
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The best random sampling process for collecting data from mobile financial service users and non-users, stratified random sampling is a suitable approach, especially if you want to ensure representation from both groups in your sample. This method allows you to control for variability within each stratum and can provide more precise estimates compared to simple random sampling.
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Need to know the impact of mobile financial services on financial inclusion.
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To measure financial inclusion using primary data on mobile financial services, you can employ various methods and indicators. Here are some steps you can follow:
1. Define the Scope: Determine the specific aspects of financial inclusion you want to measure through mobile financial services. For example, you might focus on the number of individuals with access to mobile banking, the frequency of mobile transactions, or the usage of specific mobile financial services.
2. Sampling: Design a representative sample of the target population that reflects the demographic characteristics of the area or region you are studying. Consider factors such as age, gender, income level, and location.
3. Survey Design: Develop a survey questionnaire to collect relevant data. Ensure that the questions are clear, concise, and aligned with your research objectives. Include questions about mobile phone ownership, access to mobile financial services, usage patterns, barriers, and satisfaction levels.
4. Data Collection: Administer the survey to your selected sample. This can be done through face-to-face interviews, telephone surveys, online surveys, or a combination of methods. Ensure that the data collection process is consistent and standardized across respondents.
5. Mobile Financial Services Indicators: Identify key indicators to measure financial inclusion through mobile financial services. These indicators may include:
- Mobile phone ownership: The percentage of individuals who own a mobile phone.
- Mobile banking access: The proportion of individuals who have access to mobile banking services.
- Mobile money usage: The frequency and extent of mobile money transactions conducted by individuals.
- Mobile payment adoption: The usage of mobile payments for various purposes, such as bill payments, transfers, or purchases.
- Digital literacy: Assessing individuals' knowledge and skills related to using mobile financial services.
6. Data Analysis: Analyze the collected data using statistical methods and software. Calculate indicators such as percentages, averages, and ratios to measure financial inclusion levels based on the mobile financial services indicators identified in step 5.
7. Interpretation and Reporting: Interpret the findings of your analysis and draw conclusions about the level of financial inclusion through mobile financial services. Prepare a report summarizing the results, highlighting key findings, and providing recommendations for improvement.
By following these steps, you can collect primary data on mobile financial services and use it to measure financial inclusion levels effectively.
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In Uganda, the financial services sector is increasingly adopting artificial intelligence (AI) to streamline operations and enhance customer experiences. This research question seeks to explore the effects of AI integration on customer satisfaction and trust within this context. Specifically, it aims to understand how AI-driven services, such as personalized financial advice, fraud detection, and customer service chatbots, are perceived by users in terms of their reliability, efficiency, and overall impact on the customer experience.
The inquiry is grounded in the broader context of digital transformation in emerging economies, where the adoption of technology in financial services presents both opportunities and challenges. Given the rapid pace of AI development and its potential to revolutionize financial interactions, this research could provide valuable insights into consumer attitudes and inform strategies for implementing AI in a way that fosters trust and satisfaction.
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Researching the integration of artificial intelligence (AI) in financial services in Uganda presents an opportunity to understand the impact of technological advancements on customer satisfaction and trust in a rapidly evolving digital landscape. Here's a structured approach to exploring this research question:
  1. Literature Review: Start by reviewing existing literature on AI adoption in financial services globally and in Uganda specifically. Look for studies that discuss the impact of AI on customer satisfaction, trust, and user experience. Identify key themes, challenges, and opportunities highlighted in the literature.
  2. Data Collection: Conduct surveys, interviews, or focus groups with users of AI-driven financial services in Uganda. Gather insights into their experiences, perceptions, and attitudes towards AI-powered features such as personalized financial advice, fraud detection, and customer service chatbots. Explore how these technologies have influenced their trust in financial institutions and their overall satisfaction with the services provided.
  3. Quantitative Analysis: Use quantitative methods to analyze survey data and quantify the relationship between AI integration and customer satisfaction/trust. Consider variables such as frequency of AI interaction, perceived reliability of AI-driven services, and overall satisfaction ratings.
  4. Qualitative Analysis: Employ qualitative methods to analyze interview transcripts or focus group discussions. Look for patterns, themes, and nuanced perspectives on the benefits and challenges of AI adoption in financial services. Pay attention to factors influencing trust, such as transparency, security, and the perceived impact on financial decision-making.
  5. Comparative Analysis: Compare findings from Uganda with insights from other countries or regions that have undergone similar digital transformations in their financial sectors. Identify commonalities and differences in consumer attitudes towards AI-driven services, and consider contextual factors shaping these perceptions.
  6. Policy and Strategy Implications: Based on research findings, provide recommendations for policymakers, financial institutions, and other stakeholders in Uganda. Propose strategies for implementing AI in a way that enhances customer trust, satisfaction, and inclusivity. Address potential concerns around data privacy, ethical AI use, and access to technology for underserved populations.
  7. Future Research Directions: Identify gaps in the literature and opportunities for further research. Consider exploring emerging trends in AI adoption, the long-term impact of AI on financial inclusion, and strategies for mitigating biases in AI algorithms within the Ugandan context.
By following this structured approach, your research can provide valuable insights into the effects of AI integration on customer satisfaction and trust in Uganda's financial services sector, contributing to both academic knowledge and practical applications for industry stakeholders.
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Is analytics based on Big Data and artificial intelligence already capable of predicting what we will think about tomorrow, that we need something, that we should perhaps buy something we think we need?
Can an AI-equipped internet robot using the results of research carried out by Big Data advanced socio-economic analytics systems and employed in the call centre department of a company or institution already forecast, in real time, the consumption and purchase needs of a specific internet user on the basis of a conversation with a potential customer and, on this basis, offer internet users the purchase of an offer of products or services that they themselves would probably think they need in a moment?
On the basis of analytics of a bank customer's purchases of products and services, analytics of online payments and settlements and bank card payments, will banks refine their models of their customers' purchase preferences for the use of specific banking products and financial services? for example, will the purchase of a certain type of product or service result in an offer of, for example, a specific insurance or bank loan to a specific customer of the bank?
Will this be an important part of the automation of the processes carried out within the computerised systems concerning customer relations etc. in the context of the development of banking in the years to come?
For years, in databases, data warehouses and Big Data platforms, Internet technology companies have been collecting information on citizens, Internet users, customers using their online information services.
Continuous technological progress increases the possibilities of both obtaining, collecting and processing data on citizens in their role as potential customers, consumers of Internet offers and other media, Internet information services, offers of various types of products and services, advertising campaigns that also influence the general social awareness of citizens and the choices people make concerning various aspects of their lives. The new Industry 4.0 technologies currently being developed, including Big Data Analytics, cloud computing, Internet of Things, Blockchain, cyber security, digital twins, augmented reality, virtual reality and also machine learning, deep learning, neural networks and artificial intelligence will determine the rapid technological progress and development of applications of these technologies in the field of online marketing in the years to come as well. The robots being developed, which collect information on specific content from various websites and webpages, are able to pinpoint information written by internet users on their social media profiles. In this way, it is possible to obtain a large amount of information describing a specific Internet user and, on this basis, it is possible to build up a highly accurate characterisation of a specific Internet user and to create multi-faceted characteristics of customer segments for specific product and service offers. In this way, digital avatars of individual Internet users are built in the Big Data databases of Internet technology companies and/or large e-commerce platforms operating on the Internet, social media portals. The descriptive characteristics of such avatars are so detailed and contain so much information about Internet users that most of the people concerned do not even know how much information specific Internet-based technology companies, e-commerce platforms, social media portals, etc. have about them.
Geolocalisation added to 5G high-speed broadband and information technology and Industry 4.0 has, on the one hand, made it possible to develop analytics for identifying Internet users' shopping preferences, topics of interest, etc., depending on where, specifically geographically, they are at any given time with the smartphone on which they are using certain online information services. On the other hand, the combination of the aforementioned technologies in the various applications developed in the applications installed on the smartphone has made it possible, on the one hand, to increase the scale of data collection on Internet users, and, on the other hand, also to increase the efficiency of the processing of this data and its use in the marketing activities of companies and institutions and the implementation of these operations increasingly in real time in the cloud computing, the presentation of the results of the data processing operations carried out on Internet of Things devices, etc.
It is becoming increasingly common for us to experience situations in which, while walking with a smartphone past some physical shop, bank, company or institution offering certain services, we receive an SMS, banner or message on the Internet portal we have just used on our smartphone informing us of a new promotional offer of products or services of that particular shop, company, institution we have passed by.
In view of the above, I would like to address the following question to the esteemed community of scientists and researchers:
Is analytics based on Big Data and artificial intelligence, conducted in the field of market research, market analysis, the creation of characteristics of target customer segments, already able to forecast what we will think about tomorrow, that we need something, that we might need to buy something that we consider necessary?
Is analytics based on Big Data and artificial intelligence already capable of predicting what we will think about tomorrow?
The text above is my own, written by me on the basis of my research.
In writing this text, I did not use other sources or automatic text generation systems such as ChatGPT.
Copyright by Dariusz Prokopowicz
What do you think about this topic?
What is your opinion on this subject?
Please answer,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Predicting individual thoughts and opinions is a complex task due to the inherent complexity and subjectivity of human cognition. Thoughts and opinions are influenced by a myriad of factors such as personal experiences, values, beliefs, cultural background, and individual idiosyncrasies. These factors create a highly nuanced and dynamic landscape that is challenging to capture accurately through data analysis alone.
While analytics based on Big Data and AI can provide valuable insights into general trends and patterns, predicting individual thoughts requires a deep understanding of the context and personal factors that shape an individual's thinking. AI algorithms typically analyze historical data to identify correlations and patterns, which can be useful in predicting collective behavior or trends at a broader level. For example, analyzing social media data can help identify sentiments about a particular topic within a given population.
However, predicting individual thoughts requires accounting for unique and specific circumstances that can significantly impact an individual's perspectives. These circumstances may not be adequately captured in the available data sources or may change rapidly over time. Furthermore, individual thoughts and opinions are not solely influenced by external factors but are also shaped by internal cognitive processes that can be highly subjective and difficult to quantify.
Another challenge lies in the interpretability of AI algorithms. While AI can make predictions based on complex models, explaining how those predictions were generated can be challenging. This lack of interpretability makes it difficult to gain a deep understanding of the underlying factors influencing individual thoughts and opinions, limiting the reliability and trustworthiness of such predictions.
It is important to note that the field of AI is rapidly advancing, and new techniques and approaches are continually emerging. Researchers are working on developing more sophisticated models that can better capture and understand human cognition. However, the ability to predict individual thoughts with complete accuracy still remains a significant challenge.
In summary, while analytics based on Big Data and AI can provide valuable insights and predictions at a collective level, accurately predicting individual thoughts and opinions is a complex task due to the multifaceted nature of human cognition and the limitations of available data sources. While advancements are being made, predicting individual thoughts with certainty remains beyond the current capabilities of AI.
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Greetings!
I hope this message finds you well. I would be very grateful if you please provide your valuable feedback regarding the scope, feasibility, and methodology of the following research topics:
1. Financial Literacy and Financial Inclusion.
2. Mobile Financial Services and Financial Inclusion.
Thank you.
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World Bank defined financial inclusion as "Financial inclusion means that individuals and businesses have access to useful and affordable financial products and services that meet their needs – transactions, payments, savings, credit, and insurance – delivered in a responsible and sustainable way." The scope of financial inclusion is not limited to only banking services but also extends to other financial services such as insurance, equity products, and pension products. Quantitative and qualitative methodologies can be used.
Financial literacy means knowing how to use and benefit from affordable products and services. its scope includes budgetary education (personal or family budget) and learning about banking tools (everyday banking, savings, insurance), as well as understanding economic concepts (how the economy operates and is financed) and public policies.
For Mobile financial inclusion, you can benefit form the next guideline
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What are the key determinants of building a risk management system for investing in cryptocurrencies conducted in speculative financial operations and investment transactions carried out on online trading platforms?
In recent years, there has been a rapid development of cryptocurrencies and their applications in online payments and settlements and their treatment as alternative investment instruments. Internet-based trading platforms are being developed, where speculative trading and investment using cryptocurrencies is expanding. Some investment banks, internationally operating corporations, social media sites are creating their own cryptocurrencies. Some investment funds have been investing part of their active funds in selected cryptocurrencies for many years. However, due to the lack of a developed institutional oversight system for transactions, payments and investments using cryptocurrencies. Consequently, speculative financial operations and investment transactions carried out on online trading platforms are characterised by a high level of investment risk. Consequently, it is important to build a risk management system for investing in cryptocurrencies.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
What are the key determinants of building a risk management system for cryptocurrency investment conducted in speculative financial operations and investment transactions carried out on online trading platforms?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Building a risk management system for investing in cryptocurrencies involves identifying and addressing various potential risks associated with speculative financial operations and investment transactions conducted on online trading platforms. Some key determinants of building such a system include:
  1. Understanding the Market: A solid understanding of the cryptocurrency market is essential for managing risks associated with investments in cryptocurrencies. This includes knowledge of market trends, the factors that drive price movements, and an understanding of the technology behind cryptocurrencies.
  2. Setting Investment Objectives: Investors need to define their investment objectives clearly, including their risk tolerance and the expected return on investment. This can help guide investment decisions and inform the risk management strategies employed.
  3. Assessing Counterparty Risk: Investors need to assess the counterparty risk associated with their investments. This includes evaluating the reputation and financial stability of the online trading platform, as well as considering the risks associated with other parties, such as custodians and intermediaries.
  4. Implementing Risk Management Strategies: A comprehensive risk management strategy is essential for minimizing the potential risks associated with investing in cryptocurrencies. This may involve diversification of investments, setting stop-loss orders, and employing other hedging strategies.
  5. Monitoring Market Conditions: Investors must stay informed about market conditions and changes in the cryptocurrency market to identify potential risks and opportunities. This includes tracking market trends and staying up-to-date on news and events that may impact the cryptocurrency market.
  6. Regularly Evaluating and Adjusting Risk Management Strategies: Finally, investors need to regularly evaluate and adjust their risk management strategies based on market conditions and changes in their investment objectives or risk tolerance.
Here are some commonly used risk management strategies:
  1. Diversification: Diversification is a key risk management strategy that involves investing in a variety of cryptocurrencies and spreading investment across different sectors or asset classes. By diversifying, investors can reduce the risk of a single cryptocurrency or sector having a significant impact on their overall portfolio.
  2. Stop-loss orders: Stop-loss orders can be used to limit potential losses by automatically selling a cryptocurrency at a predetermined price. This strategy can be particularly useful during times of high market volatility.
  3. Hedging: Hedging involves taking positions that offset the risk of potential losses. For example, investors can hedge their cryptocurrency positions by buying put options, which allow them to sell a cryptocurrency at a predetermined price.
  4. Position sizing: Position sizing involves determining the appropriate size of each investment based on an investor's risk tolerance and investment objectives. By limiting the size of each position, investors can reduce the potential impact of any individual investment on their portfolio.
  5. Monitoring and adjusting: Monitoring market conditions and adjusting investment strategies accordingly is essential for effective risk management. Investors should regularly assess their investment strategies and make adjustments as needed to reflect changes in market conditions, investment objectives, and risk tolerance.
  6. Technical analysis: Technical analysis involves using chart patterns, indicators, and other market data to identify potential market trends and make informed investment decisions. This strategy can be particularly useful for identifying entry and exit points for cryptocurrency trades.
Key elements of an INSTITUTIONAL RISK MANAGEMENT system for investing in cryptocurrencies:
- Risk Management Policies and Procedures: Institutional investors should establish clear risk management policies and procedures to guide investment decisions and manage risk. These policies should include guidelines for selecting cryptocurrencies, setting investment objectives, and monitoring market conditions.
- Investment Committee: An investment committee comprised of experienced professionals with diverse backgrounds can help ensure that investment decisions are informed and well-considered. The committee should be responsible for setting investment policies and monitoring performance against established benchmarks.
- Due Diligence: Institutional investors should conduct thorough due diligence on potential cryptocurrency investments to assess risks and identify potential red flags. This may include evaluating the reputation of the cryptocurrency, conducting security audits, and assessing the regulatory environment.
- Diversification: Diversification is a key risk management strategy for institutional investors. By investing in a variety of cryptocurrencies and spreading investments across different sectors or asset classes, institutional investors can reduce the risk of a single cryptocurrency or sector having a significant impact on their overall portfolio.
- Risk Assessment and Monitoring: Institutional investors should regularly assess and monitor risks associated with their cryptocurrency investments. This includes monitoring market conditions, tracking the performance of individual cryptocurrencies, and identifying potential risks and opportunities.
- Contingency Planning: Institutional investors should establish contingency plans to prepare for potential market disruptions or other events that could impact their cryptocurrency investments. This may include setting up risk reserves, establishing exit strategies, and developing contingency plans for managing liquidity.
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Can it be worth to do PhD on Mobile Financial Services for Financial Inclusion?
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I think it's worth doing. The mobile services are very convenient and easy to use. Even managers of mutual funds have embraced transactions over mobile networks. Even the banking sector has come up with apps that can be used for online transactions. Such a study is timely and can help in removing barriers that have hindered sections of the population that have not yet embraced it.
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What new, innovative features are being added to bank cards where banks are taking advantage of new Big Data Analytics and other new Industry 4.0 technologies?
Commercial banks, in an effort to attract new customers, offer a package of financial services and banking products, implement new ICT and Industry 4.0 information technologies into their banking operations in order to improve them, improve the quality and expansion of financial and other services, create facilities for remote access to online and mobile banking offerings, enrich their offerings with new services, including not only financial services. For example, there are banks that add analytics and customer advice on healthy lifestyles and ecological, pro-environmental, pro-climate aspects to bank cards, including credit cards, in line with new trends of sustainable development and green transformation of the economy. Some banks add analytics to bank, payment or credit cards, informing cardholders not only how much money they have spent on the purchase of certain products and/or services, but also what carbon footprint is associated with certain completed or planned purchases.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
What new, innovative features are being added to bank cards in which banks are taking advantage of the new capabilities of Big Data Analytics and other new Industry 4.0 technologies?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Most of the innovations being introduced by banks to their cards are coming in the wake of:
(a) The great Fintech revolution, and
(b) As part of the take-on of ideas, services, and functions which other offerers/users of cards have included with their own offered cards.
As such the innovations will now come to include an endless range of services and facilities which, indeed, may also not be strictly money related. These might include:
- Time and date awareness,
- Buying on-line from all sorts of providers of goods and services,
- Travel related services;
- Identification services;
- Inhouse entertainment services (sports, shows, films, fitness sessions, etc).
So, to sum up, it is now possibly no longer correct to think in terms of "Bank Cards"...they are now just "Cards" !!!
Dr. John Consiglio
University of Malta
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In a decade to come, the future of the profession in Finance can it be predicted?
Join the discussion let's find out.
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It can be useful to your research to adopt a critical approaches in order to predict the future of finance profession based on an improvement logic.
I think that a litterature review of the authors like AKTOUF whose critics classical finance can be interested
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What are the factors affecting financial inclusion or basic banking services of the people? Can anyone give me some good papers on this?
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Financial inclusion aim is to bring in digital financial solutions for the economically underprivileged people of the nation.
Some notable challenges include;
low financial literacy, inadequate infrastructural facilities as well as inadequate and inefficient technology- based facilities by financial institutions, These has limited the achievement of significant expansion.
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Commercial banks are increasingly worried about competition from fintechs, including online technology companies that expand the range of financial and pre-financial services. Commercial banks are more and more actively using IT technologies of online banking, building Business Intelligence data processing platforms, extending Big Data database systems, developing integrated risk management systems and conducting advertising campaigns on social media websites. In view of the above, large commercial banks have the opportunity to conduct a sentiment analysis on data collected in Big Data database systems for the purpose of analyzing the expectations and opinions of Internet users regarding, for example, financial services. Information obtained from the Internet and processed in the aforementioned manner can be used for more precise risk analysis, credit risk management, planning subsequent advertising campaigns, modifying the financial services offer in line with changing expectations of Internet users, searching for clients on social media portals. In this way, interdisciplinary analytical processes are also developed at commercial banks, for which the information from the websites of social media portals is the source of data.
Do commercial banks have a chance to win in this matter in competition with the fintech technology companies operating on the Internet?
Besides, What is the effectiveness of online advertising campaigns run by commercial banks?
Please, answer, comments.
I invite you to the discussion.
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Dear Denis Muchunku, Haseeb Javed,
Yes. Internet advertisements are used more and more often in advertising campaigns also by financial institutions, including commercial banks presenting their offers of banking products and financial services as well as internet mobile banking offer. During the SARS-CoV-2 (Covid-19) coronavirus pandemic, the development of electronic internet banking, including mobile banking, accelerated. Therefore, commercial banks have recently been developing mainly online mobile banking for citizens, individual clients and business entities. Recently, many banks have been conducting advertising campaigns using new online media, including social media portals, to promote their online banking offers, also offered to companies and enterprises. Banks offer the opening of an online banking account primarily for business entities from the SME sector that do not yet have a mobile banking account, do not have their own website, are startups, etc. In promotional online banking offers for companies and enterprises from the SME sector, commercial banks offer additional incentives and incentives. auxiliary services creating a website for the company, creating an online platform for selling products and / or services of the client's enterprise, creating an online store, they also offer tax advisory services, financial advisory services, etc. Banks more and more often offer their financial services through social media portals, because of the research conducted market know that their customers are increasingly actively using these new online media and that these online marketing communication channels can be the most effective.
Thank you very much,
Best regards, Greetings,
Have a nice day,
Be safe and healthy,
Dariusz Prokopowicz
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Perhaps in the future the development of electronic, online banks and technology companies developing financial services as fintechs will be implemented in parallel and will lead in many respects to a synthetic model of combining different business concepts of banks and fintechs. In such a situation, it will not be possible to clearly determine who has taken over and dominated the first, or electronic banks or fintechs.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Is there more competition or synergy between the development of online banks and fintechs?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Business, banking, and financial organizations in the USA and Europe are very closely related to Fintech. This is no longer just a connection, but a symbiosis of technology, finance, and commerce. According to the research by IndustryARC’s market analyst, the Fintech market volume exceeded $150 billion last year and continues to grow.
That is, in today’s article we’ve made the research on such related questions:
  • What are the main directions for the development of financial technologies in 2021?
  • Fintech integration: why do the bank and business need it?
  • What do the digital ecosystems mean for the bank, Fintech, and the customer?
  • How to understand in which direction to develop your digital ecosystem and how to position it?
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Commercial banking has several hundred years of development history. Fintechs have been developing only since the end of the 20th century, but the development of some fintechs is many times faster than most banks currently operating. This is the main reason why banks are interested in the development of fintechs. In most countries, fintechs are not yet a significant direct competition for commercial banks, but taking into account their dynamic development in the field of new technologies, online settlements and payments, combining information services with financial or other services and e-commerce, with e-commerce , e-business, however, this may change in the future and this competition may increase significantly in the future.
Banks that are not afraid of competition from fintechs usually do not cooperate only by observing new technologies introduced to the online market of financial transactions by fintechs. However, commercial banks that are afraid of competition from fintechs are either interested in this type of cooperation in the field of technology development or take over these entities in capital transactions, including selected fintechs to capital groups managed by a given bank. There have been transactions of this type in which a commercial bank took control of a fintech, which was a dynamically developing startup or a thriving technology company operating in the new online media sector and new techniques for settlements and payments made electronically. Some banks, fearing competition from fintechs, observe their functioning and try to introduce into their business model solutions similar to those that develop fintechs with positive effects.
In view of the above, I am asking you the following question: Do banks cooperate with fintechs?
Please reply. I invite you to the discussion
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Yes, banks need fintechs to advance technology in banking and finance. Bank staff will not have the capacity to introduce the latest financial technology, except in partnership with these fintech companies at principal level relationship either as a partner or shareholder.
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This study is to illustrate the difference between Islamic and traditional banks in relation to consumer decision-making. Data is taken from both banking sectors for evaluation. The difference in the term factors affecting customers and banks and the quality of service provided to the customer is examined, so this study seeks to assess the performance situation and improve the quality of service in the Islamic financial system. We are looking at this issue through a variety of methods such as the creation of a quantitative portfolio, the economic modeling of diversification advantages, the theoretical development of the quality of financial service and the qualitative analysis of semi-structured interviews on perceptions of how quality of banking will affect both performance and financial innovation in Islamic finance. Iraq is experiencing a high level of competition between Islamic and traditional banking services that use quality of service as a profitable strategy The aim of this study is to describe and understand the decision-making process for clients in terms of recognizing differences in the quality of services between Islamic and traditional banks and the extent to which customers are affected by banking services.
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Decision making when religion is a factor (religiosity) is interesting. Most consumers depend on price and income in decision making. Habits formed from religion will affect consumer decision making. Jewish and Islamic consumers will stay away from non-halal products. Similarly for investment products, interest is forbidden in Islamic society to be replaced with profit sharing.
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Hello, i am working on my thesis at this moment and i am searching more related references for process mining in best case at use in the area of financial services. I want to give an introduction and overview of process mining in this area.
Thank you
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Kindly refer following references
Werner, M. (2017). Financial process mining-Accounting data structure dependent control flow inference. International Journal of Accounting Information Systems, 25, 57-80.
De Weerdt, J., Schupp, A., Vanderloock, A., & Baesens, B. (2013). Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization. Computers in Industry, 64(1), 57-67.
Gehrke, N., & Mueller-Wickop, N. (2010, August). Basic Principles of Financial Process Mining A Journey through Financial Data in Accounting Information Systems. In AMCIS (p. 289).
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There is a really strange phenomenon in Chinese stock markets. When the regulation institution decides to get some new companies listed (it is noteworthy that IPO has to get permission from Securities Regulatory Commission in China), the stock market drastic falls and the Chinese investors sell out their stocks crazily.
Some argue that more stocks listed means that more money is needed by the market, but the supply is constant in the short term. So the stock price falls. But I don't think it explains well what we observe.
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This is an interesting phenomenon. I hope by now (2020), the situation has much improved.
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What is the potential for Fintechs to become large purveyors of Financial Services in Rural India?
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Fintech also need financial literacy and education. The benefits is enormous and will help to uplift the rural community to learn by doing and be connected to the world.
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I am writing one paper regarding taxing financial services under VAT in developing countries. I would be very grateful if anyone has any paper about it(or book that can be downloaded for free). Thanks.
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I would like to recommend you a study that assesses the effects of imposing VAT on the services provided by the Bulgarian banking sector: https://www.researchgate.net/publication/335961831_Assessing_the_Effects_of_Imposing_VAT_on_the_Services_Provided_by_the_Banking_Sector_-_The_Case_of_Bulgaria (https://www.ceeol.com/search/article-detail?id=793543)
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I am interested in knowing more about IT Audit, which I believe has a lot of potential in the future. Therefore I am interested to write a thesis on IT audit. But don't know which area to look into and what could possibly be a good topic for that.
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Here are a few IT audit papers which may help you in choosing a topic and doing your literature review. They are all available in full and free of charge.
If you decide to use any of them please 'recommend' and cite them in your thesis:
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I will do an Internship at one of the big four at Financial services. I'm free to choose any audit topic.
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Chris Kelly, that's right.
And more than that, I feel like some large audit companies might have spotted frauds but looked the other way because of the fear of loosing a client if they made the fraud public.
Therefore, I have thought for a long time that if there was no 'client- service provider' relationship between audit companies and audited companies (for example, if audit companies were publicly appointed), frauds would arise earlier.
Maybe this could be analysed.
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The objectives are as follows-
Investigate the reason behind the fishers dependency on non-formal credit ,find out the impact (Social-ecological) of the non -formal credit system in a fishery and propose a fishers friendly credit system.
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Thanks a lot Emmanuel.Would be glad if you can advise any empirical studies article.
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While many IT organisations have a well-defined Project Management practices/methodologies that include Risk management strategies, they often face failures on the projects primarily related to Cost, Schedule and Quality. Hence I would like to understand the correlation between the PM practices and Risk management particularly in IT organisations but also in any other industries like Banking, Financial services, Construction, etc. Please get back to me with any studies already done on this matter or any pointers to the information sources.
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Assuming financial criminals are rational, they deal with large sums of money, have feasible alternatives of finding legal ways of making money, financial crime must offer attractive rates of return. What might the rate of return be?
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It would vary a lot across individuals. In financial markets, there is one discount rate for a paticular level of risk because financial assets are tradable. However, commiting a crime is certainly person-specific, this risk cannot be diversified away, and therefore it would vary hugely across people.
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In relation to product design, place and people
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My dear friend,
My new book has published. It is about design
as you are in this field i hope you will like it
Please read it and share it with everyone. It is talking about prosumer also for the first time in this book we talk about magic and its power in product design. It is talking also about future of consumers .I request you put the link of book on your page and your school website for your students.
Name: Everyone Is a Designer
Author: Mohsen Jaafarnia
Publisher: MJ
Ghochan, 2017
In Persian, Chinese and English
Topic: Industrial Design
Jaafarnia, Mohsen (2017). Everyone Is Designer. Ghochan, Iran : MJ Publication. ISBN: 978-600-04-7870-4
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i.To what extent does physical proximity to financial institutions affect financial inclusion among the targeted members/low-income population?
 ii.What are the available financial services and innovations and how effective and sustainable are they in enhancing financial inclusion among the demographic differences of members/ low-income population in the selected SACCOs?
iii.What is the level of financial literacy and capability existing among the people on the various available financial services and products and how does financial literacy and capability impacts on financial inclusion for inclusive growth?
iv.How consumer protection does influences financial inclusion for inclusive growth through SACCOs in Uganda?
 v.What enabling environment exists in Uganda and changes that will enable SACCOs to take an active part in the financial inclusion for inclusive growth and emerge as sustainable, transparent and accountable member-based financial organizations?
vi.How does, financial inclusion leads to inclusive growth (members’aggregate welfare improvement) in Uganda?
vii.To what extent are the expected outcomes of financial inclusion for inclusive growth through SACCOs available to members/low-income population?
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 Please thank you for the response to my question
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Does anyone know of a prosocail brand measurement scale?
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Thank you Amir. I will have a read today.
Thx
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  • In the meantime, how should digital approach the customer experience in the current economy?
A little sharing here.
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Consumer's demand for a product is a function of the purchasing power which the economic challenge would have reduced significantly.
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I am looking for longitudinal data on pension assets (both public and private). The OECD database runs from 1995- (for private) and 2001 (for public), but not for all countries. Also, I'm hoping to extend the analysis to at least the 1990's. Does anyone know whether such a dataset exist? Bits and pieces of information can be found in e.g. BIS reports, so perhaps someone has collected this kind of data before. 
Many thanks in advance!
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I think that Global Financial Development database contains what you are searching for. It contains a variable "Pension fund assets to GDP". 
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I hope to help me to suggest some hot topics in Behavioural finance.
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Dear Ahmad
my viewpoint is little different though. When I started my research career, I used to think everything could be mathematically proven. However later I realized that bounded knowledge is dangerous. It covers the truth rather than uncovering it. Hence, though my models are still quite mathematical, yet I find queer resemblance with many behavioural finance theory. Thus I write from both the perspectives. My advice will be take a problem statement from finance, and work on it. If you find behavioural bias, then that's perfectly fine. Forcefully we can't compartmentalize knowledge.
This is my theory. It could be wrong also.
Best
Bikram
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I am doing research on factors affecting retail equity investors, so for my introduction i need some data on retail equity investors in India.
Thanks & Regards
Hiral 
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Uruguayan bankruptcy law allows the creditors with mortgage to continue with the individual execution of his credits, 120 days after the declaration of bankruptcy.. Generally, every valuable asset is mortgaged assets, so if the bankruptcy process reaches the stage of liquidation, the financial creditor (that, in general, is the one that enjoys the above mentioned guarantees) executes independently his credit, in detriment of the workers, of the State and of the suppliers of goods and not financial services. What I put to consideration is if a different regulation would have negative effects on the economy, for its relation with an eventual restriction of the credit or increase in its costs.
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In India, the liabilities to workers could take precedence over payment to secured lenders.
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I am working on a project involving stock price estimation, so I want investor sentiments or behavioral bias to be an independent factor, impacting stock price movement. So, are there any means by which I can quantify this variable ?
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Hi, in the US market the most popular and professional approach is to use the data of Baker & Wurgler at the bottom of this page: http://people.stern.nyu.edu/jwurgler/.
Alternatively, you can take a look also at this paper: https://ssrn.com/abstract=2778060.
Best!
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I had an hypothesis that perceived barriers significantly and negative influence rural citizens' attitude towards usage of financial services.
But using SEM (AMOS)- the results were : perceived barriers positively influence  attitude.
Can anyone please assist; what could be the possible reason for that. 
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Hi,
one possible explanation may be a mediating effect due to different degrees of involvement in the topic. A positive attitude could lead to more thinking about the topic, gathering of information etc. which - in turn - increases awareness of problems and barriers. 
Best,
Holger
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Looking at how an owner of a financial services firm can combat the effect of fintech on their practice by the correct use of strategy, ie Porter 5 Forces, PESTEL etc
I am looking at other possible angles on this and would appreciate any insight
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can refer to
Robo advice - when machines manage your assets (Fintech #8)
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Hi, my current data set takes into consideration 15 countries over a 10 year period looking at FDI inflows. FDI being the dependant variable, and I have currently used 5 independant variables based upon typical FDI determinants. I've been able to carry out various panel data tests on stata,(Pooled OLS, Fixed effects, Random effects, Hausman test) using online tutorials however i'm not sure whether I have missed something important which should be considered. As i am not an econometrics student I feel as if i need some extra guidance. Thanks
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Dear Lee Squirrell
I totally agree to your concern due to the problem of panel data, I guess that your independent variables should be following the traditional gravity variables such as cultural distance factors, parent-country per capita GDP, relative labor endowments, and regional trade agreements...in which honorly I suggest that you should check the endonenous problem of panel data and you can use GMM or GMM estimator or LSDV of IV estimator to solve this problem. I attach some papers below in the case of your consideration. If you have problem with the GMM estimators, I may help in some case.
Please don't hesitate to contact me
Cheers
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There is no good research about the actual demand for Islamic financial services among Muslims in the West. Why are so many scholars spending so much energy exploring the finer details of Islamic banking when they really have no clue about how many potential customers there are?
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In 2015 In Seattle, Washington  our Mayor has opened up the thought and possible opportunities to Islamic compliant financing to our local Islamic population. I have been asked about Sharia compliant financing from various industry driven individuals, always referred them to proper channels for more details than I understand. Interest free checking and savings products are available at almost every bank if not all of them here.
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I am working on low cost distribution solutions for financial services. can any one please suggest relevant literature
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Thank you !!
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The vast majority of the world’s people will have access to internet through smart phones and tablets. Internet access could transform the way financial service providers and customers interact and facilitate a richer interface with customers.
What scenarios are possible and are providers ready to respond?
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Thanks Every one..
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Monetization levels vary widely by context and over time. Macro-level data is not very helpful because it jumbles many differently monetized contexts. Are there studies in behavioral economics, microeconomics, cognitive psychology etc. that address this question?  
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Dear Brett Matthews 
Greetings,
Please find the two attached files , may be related to your topic and useful for analyzed monetization as a discrete variable in processes of financial inclusion ,
Best Regards,
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Our team is quantifying the amount of global fiscal support that the financial sector receives. The estimate will examine the full range of direct and indirect fiscal support for private financial services sector, including fiscal incentives for savings and pensions, bank deposit insurance, implied support for systemically important financial institutions, fiscal incentives for green investment, and tax structures that provide incentives for various assets and trading activities.
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Thanks Giacomo, this is very useful, good information about interventions in reaction to the financial crisis. Our scope is wider than the 2008 - 12 period but this is useful nonetheless.
Veli, your response is appreciated too. You make an interesting point about considering illicit financial flows from low-income countries to wealthy countries as subsidies. This does raise a difficulty in quantifying since they are inherently difficult to detect. We'll have to dig deeper into this.  
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I want to study the brand equity in the three biggest banks in the Philippines namely, BPI, BDO and Metro Bank. The closest framework I have so far is Keller's Framework on Consumer Based Brand Equity which is more of a marketing tool than an economic one.
Hope anyone can help me with this. Thank you! 
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i suggest that you look at the literature on game theory and advertising.  brand equity invariably creates two agents, the vendor and the stakeholders (customers, future owners of the brand).  there is work done by the Harvard Business School, International Forum on Marketing Science (Chengdu, China 2006)
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What are the general issues to be studied about the latent management in the financial sector ? A research student asked me this question. While I noted that the availability of talent, retention policy, required skills for talent in the financial sector, turnover, relation of talent with productivity, are some areas , probably to be considered and emphasized to refine further as we go along. Need your suggestion as to what should be covered in a study of talent management in the financial sector.
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Dear Ljubomir,
Thanks for the links. This gives a great insight about the talent management issues in the financial sector. cheers Binod
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Brand health measurement for categories like FMCG, durables and telecom services have a standard pattern of metrics considering higher involvement of customers. But in categories like general insurance and some financial services the familiarity and involvement level are rather low. There seems to be a need for improvised new metrics and pattern for measuring brand health in such sectors. What are your thoughts?
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Brand Asset Valuator is one of the metrics, I used to use a lot for all sorts of industries. The way it works is it compare brand value across four main pillars, energized differentiation, esteem, knowledge and regards. The reason this might be good one is because while deriving the brand health or value, we take into consideration all types of brands to compare with, right from FMCG to branking to insurance. All types were used, so this might be a good metric. 
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Can anyone may give me any classical or recent results?
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This is perfect to start with: thank you very much
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Theories of capital structure
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The static trade off theory attempts to explain the optimal capital structure in terms of the balancing act between the benefits of debt (tax shield from interest deduction) and the disadvantage of debt (from the increased expected bankruptcy costs). The tax shield benefit is the corporate income tax rate multiplied by the market value of debt and the expected bankruptcy costs are the probability of bankruptcy multiplied by the estimated bankruptcy costs. The pecking order theory is the preferred, and empirically observed, sequence of financing type to raise capital. That is, firms first tap retained earnings (internal equity) finance, second source is debt and the last source is issuing new common stock shares (external equity). The empirical evidence of non-financial firm debt ratios coupled with the decision making process of top management and the board of directors point to greater adherence to the pecking order theory.