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Every year, millions of consumers around the world become victims of credit card fraud. These individuals have to appeal to their credit card companies to reverse unauthorized charges. This study aims to profile the American consumers’ experience when complaints to their credit card companies about unauthorized charges fail to produce a resolution. Using a large database of consumer complaint filings with the Consumer Financial Protection Bureau (CFPB), the characteristics of these consumer complaints are identified, and the drivers of consumer financial hardship resulting from credit card fraud are determined.

A random sample of consumer complaints about their credit card companies’ perceived mishandling of cases, filed with the CFPB, is used to conduct content analysis. The resulting content analysis categories are used in a predictive model to determine the drivers of consumer hardship.

In nearly one-quarter of all complaint filings, the credit card company had blamed the complainant as the party responsible for the fraudulent charges or refused to open a fraud investigation altogether. Nearly 60% of complaint reports contain expressions of emotional distress and many mention financial hardship. Nearly half of all complainants consider the fraud department operations of their credit card company as lacking in service quality, many reporting inability to reach the department or to receive a returned call. Even after CFPB intermediation, only 15% of complainants receive some form of financial relief from their credit card company. The majority of the complainants report a lack of willingness by the credit card company to reverse unauathorized charges, leaving the complainant financially responsible for them.

This study focused on data collected from consumers. Future research can expand the scope of inquiry by surveying the staff and executives in the fraud investigation departments of credit card companies to determine the norms of fraud investigation used within the industry.

This study sheds light on the financial hardship and emotional pains that consumers victimized by credit card fraud experience in dealing with their credit card companies.

To the best of the authors’ knowledge, this is the first study to empirically examine American consumers’ complaints about the fraud investigation operations of their credit card companies. Using data captured through the complaint filing system of a federal bureau (CFPB), the findings have implications for policymakers, regulators and credit card companies.

We revisit the problem of redesigning the Master in Business Administration (MBA) program, curriculum, and pedagogy, focusing on understanding and seeking to tame its “wicked problems,” as an intrinsic part and challenge of the MBA program venture, and to render it more realistic and relevant to address major problems and their consequences. We briefly review the theory of wicked problems and methods of dealing with their consequences from multiple perspectives. Most characterization of problems classifies them as simple (problems that have known formulations and solutions), complex (where formulations are known but not their resolutions), unstructured problems (where formulations are unknown, but solutions are estimated), and “wicked” (where both problem formulations and their resolutions are unknown but eventually partially tamable). Uncertainty, unpredictability, randomness, and ambiguity increase from simple to complex to unstructured to wicked problems. A redesigned MBA program should therefore address them effectively through the four semesters in two years. Most of these problems are real and affect life and economies, and hence, business schools cannot but incorporate them into their critical, ethical, and moral thinking.

This paper aims to understand the emotional patterns of senior citizens when they digitally transact online and how the personality trait of neuroticism can be a vital part of being susceptible to fraud. The authors identify with the cognitive aspect of fear as a vista of neuroscience and behavioural finance in digital banking in today’s banking 5.0 where consumer centricity stands as one of the pillars of the Digital Payment Index of RBI.

This study is empirical and investigative in nature. Primary data has been collected through online questionnaires (via Google Forms) and the interview method to understand the phenomenology of fear and incidents related to becoming victims of fraud and its propensity.

The results exhibit that fear and emotional patterns do affect vulnerability and have a long-lasting psychological impact and susceptivity towards digital frauds.

Fear as an emotion is used to understand the emotional expressive patterns of senior citizens as consumers of digital banking. The OCEAN model is one of the widely used personality models at the global level. This research study helps in highlighting the nuances linked to the behavioural and cognitive part of fear in digital crime.

This research will be beneficial to reduce the susceptibility towards fraud from a behavioural perspective in the usage of digital banking and evaluate solutions for senior citizens to mitigate and cope up with the pressures and perils associated with digital frauds.

News items like “A whopping 2 lakh gullible investors were cheated…….” amply illustrate the extent of problems and hardships caused by financial frauds related to Ponzi schemes, collective investment schemes (CIS), unregulated deposit schemes, etc. In India, over the years, many Ponzi and unregulated investment schemes have taken place, causing huge economic and financial loss to Indian economy. This paper aims to examine why investment such schemes like Ponzi schemes and CIS become popular, how such schemes got operated in different periods and what could be done to safeguard the interests of investors.

The analysis is done based on secondary data and research work of various researchers, organisation and institutions, which are available in the public domain.

This paper has tried to analyse various characteristics of such fraudulent schemes, like their modus operandi, promotional activity, background of promoters and legal process involved in recouping financial loss of millions of investors. This paper also examines the demand-side factors that are responsible for popularity of those schemes in India. Noting the regulatory changes and other initiative taken by regulatory authorities to control the supply of unregulated investment schemes, this paper indicates potential actions, which could be undertaken to make people aware about the risks and issues related with such fraudulent schemes.

This paper gives an overview about various aspects of unregulated investment schemes, which have duped numerous people at different point of time. To the best of the authors’ knowledge, this research work is original and has not been published in any other journal.

This study aims to determine experimentally factors affecting the satisfaction of retail stock investors with various investor protection regulatory measures implemented by the Government of India and Securities and Exchange Board of India (SEBI). Also, an effort has been made to gauge the level of satisfaction of retail equities investors with the laws and guidelines developed by the Indian Government and SEBI for their invested funds.

To accomplish the study’s goals, a well-structured questionnaire was created with the help of a literature review, and copies of it were filled by Punjabi retail equities investors with the aid of stockbrokers, i.e. intermediaries. Amritsar, Jalandhar, Ludhiana and Mohali-area intermediaries were chosen using a random selection procedure. Xerox copies of the questionnaire were given to the intermediaries, who were then asked to collect responses from their clients. Some intermediaries requested the researcher to sit in their offices to collect responses from their clients. Only 373 questionnaires out of 1,000 questionnaires that were provided had been received back. Only 328 copies were correctly filled by the equity investors. To conduct the analysis, 328 copies, which were fully completed, were used as data. The appropriate approaches, such as descriptives, factor analysis and ordinal regression analysis, were used to study the data.

With the aid of factor analysis, four factors have been identified that influence investors’ satisfaction with various investor protection regulatory measures implemented by government and SEBI regulations, including regulations addressing primary and secondary market dealings, rules for investor awareness and protection, rules to prevent company malpractices and laws for corporate governance and investor protection. The impact of these four components on investor satisfaction has been investigated using ordinal regression analysis. The pseudo-R-square statistics for the ordinal regression model demonstrated the model’s capacity for the explanation. The findings suggested that a significant amount of the overall satisfaction score about the various investor protection measures implemented by the government/SEBI has been explained by the regression model.

A study could be conducted to analyse the perspective of various stakeholders towards the disclosures made and norms followed by corporate houses. The current study may be expanded to cover the entire nation because it is only at the state level currently. It might be conceivable to examine how investments made in the retail capital market affect investors in rural areas. The influence of reforms on the functioning of stock markets could potentially be examined through another study. It could be possible to undertake a study on female investors’ knowledge about retail investment trends. The effect of digital stock trading could be examined in India. The effect of technological innovations on capital markets can be studied.

This research would be extremely useful to regulators in developing policies to protect retail equities investors. Investors are required to be safeguarded and protected to deal freely in the securities market, so they should be given more freedom in terms of investor protection measures. Stock exchanges should have the potential to bring about technological advancements in trading to protect investors from any kind of financial loss. Since the government has the power to create rules and regulations to strengthen investor protection. So, this research will be extremely useful to the government.

This work has societal ramifications. Because when adequate rules and regulations are in place to safeguard investors, they will be able to invest freely. Companies will use capital wisely and profitably. Companies should undertake tasks towards corporate social responsibility out of profits because corporate houses are part and parcel of society only.

Many investors may lack the necessary expertise to make sound financial judgments. They might not be aware of the entire risk-reward profile of various investment options. However, they must know various investor protection measures taken by the Government of India & Securities and Exchange Board of India (SEBI) to safeguard their interests. Investors must be well-informed on the precautions to take while dealing with market intermediaries, as well as in the stock market.

This study aims to empirically examine the influence of Islamic corporate social responsibility (ICSR) on social welfare moderated by financial fraud.

The method used was the mix method. The number of respondents was 410. They combined the moderate regression analysis with PROCESS Andrew F Hayes to test the research hypothesis. After conducting the survey, it was continued by conducting interviews with the village community and the head of the village.

The first finding of this study is that ICSR has a significant positive effect on social welfare. The second finding is that financial fraud weakens the influence of ICSR on social welfare. The results of the interviews also confirmed the two findings of this study.

The high level of bias in answering the questions is due to the low public knowledge of ICSR. In addition, the interviews still needed to involve the oil and gas companies and government.

The main implication is improving social welfare, especially for those affected by offshore oil drilling. Furthermore, stakeholders are more sensitive to the adverse effects of financial fraud. Finally, to make drilling companies more transparent and on target in implementing ICSR.

The main novelty in this research is using of the mixed method. In addition, applying financial fraud as a moderating variable is rarely studied empirically.

Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are having a major impact on banking (FinTech), health (HealthTech), law (RegTech) and other sectors such as charitable fundraising (CharityTech). The pace of technological innovation and the ability of AI systems to think like human beings (simulate human intelligence), perform tasks independently, develop intelligence based on its own experiences and process layers of information to learn ever-complex representations of data (ML/DL) means that improvements in the rates at which this technology can undertake complex, technical and time-consuming tasks, identify people, objects, voices, patterns, etc., screen for ‘problems’ earlier, and provide solutions, provide astounding benefit in economic, political and social terms. The purpose of this paper is to explore advents in AI, ML and DL in the context of the regulatory compliance challenge faced by financial institutions in the United Kingdom (UK).

The subject is explored through the analysis of data and domestic and international published literature. The first part of the paper summarises the context of current regulatory issues, the advents in deep learning, how financial institutions are currently using AI, and how AI could provide further technological solutions to regulatory compliance as of February 2023.

It is suggested that UK financial institutions can further utilise AI, ML and DL as part of an armoury of solutions that ease the regulatory burden and achieve high levels of compliance success.

To the best of the author’s knowledge, this is the first study to specifically explore how AI, ML and DL can continue to assist UK financial institutions in meeting the regulatory compliance challenge and the opportunities provided for financial institutions by the metaverse.

Halal certification is an acknowledgment of the halalness of a product or service issued by a halal regulator based on Islamic law. This study aims to investigate the intentions of consumers and regulators toward blockchain-based halal certification. Blockchain is useful for storing and verifying halal certificates, thereby increasing trust in products or services because the public cannot change or access data once it is stored.

This study uses a triangulation approach by distributing online questionnaires to consumers as a research instrument of a quantitative approach processed with smart partial least squares. Meanwhile, the qualitative approach is carried out through observation, in-depth interviews with the Ministry of Religion’s Halal Product Assurance Organizing Agency (BPJPH) and Halal Examination Agency (LPH), and forum group discussions (FGDs) with several related parties.

The observation results show that most consumers expect the government to provide an easy-to-use application to check halal food products and restaurants. Consumers’ intention to use this technology is influenced directly by attitudes and indirectly by their beliefs. Furthermore, the results of interviews and FGDs reported that LPH was not ready to apply blockchain technology, while BPJPH strongly supported adopting blockchain technology in the certification process.

This finding recommends that the Indonesian government apply blockchain technology to gain transparency and accountability regarding the halal product process.

This study fills the research gap by observing three perspectives from different stakeholders and using a triangulation approach to analyze the need for adoption of blockchain-based halal certification of halal food products.

This chapter focuses on critical thinking as a new, powerful, and specialized tool and technique for understanding and analyzing the subtle operations of the free enterprise capitalist market system and its ethics and morality. Everything in the world of consumers and market enterprise systems are determined by our supply–demand system that in turn are determined by our presumed limitless production–distribution and consumption (LDPC) systems. From a critical thinking viewpoint, we study the free enterprise capitalist system (FECS) as a dynamic, interconnected organic system and not as a discrete or compartmentalized body of disaggregate parts. Systems thinking with critical thinking calls for a shift of our mindset from seeing just parts to seeing the whole reality in its structured dynamic unity; both mandate that we see ourselves as active participators or partners of FECS and not as mere cogs in its wheels or as mere factors of its production processes. Critical thinking seeks to identify the “structures” that underlie complex situations in FECS with those that bring about high- versus low-leveraged changes in various versions of capitalism. Specifically, this chapter applies critical thinking to FECS as defined by its founder, Adam Smith, in 1776 to its fundamental and structural assumptions, and as supported or critiqued by serious scholars such as Karl Marx, Maynard Keynes, C. K. Prahalad and Allen Hammond (inclusive capitalism), John Mackey and Rajendra Sisodia (conscious capitalism), and others.

This study aims to investigate the effects of financial literacy, financial behaviour and financial stress on awareness of investment scams among retirees.

Using a questionnaire survey, data was distributed to 200 retirees. A total of 53 responses were obtained. The data was subsequently analysed using PLS-SEM version 3 software.

Findings indicated that while financial literacy has a significant influence on awareness, there is no conclusive evidence to support the relationship between financial behaviour and financial stress on awareness. These results highlighted the critical need to strengthen financial literacy among retirees as a prevention mechanism for them to avoid from being scammed.

The finding from this study is relevant to regulators and law enforcement agencies to aid potential and actual retirees by educating them on the danger of investment scams.

As there are relatively few studies conducted on investment scams specifically among retirees, this study extends the investment scam literature by examining the underlying factors that affect their awareness towards the fraudulent activities.