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Research in the area of behavioral finance has demonstrated that investors exhibit irrational behavior while making investment decisions. Investor behavior usually deviates from logic and reason, and consequently, investors exhibit various behavioral biases which impact their investment decisions. The purpose of this paper is to rank the behavioral biases influencing the investment decision making of individual equity investors from the state of Punjab, India. This research would provide valuable insight into the different behavioral biases to investors and other participants of the capital market and help them in improving investment decisions.

The research is conducted on the individual equity investors of Punjab, India. Fuzzy analytic hierarchy process was applied to rank the factors influencing the decision making of individual equity investors of Punjab. The primary factors considered for the study are overconfidence bias, representative bias, anchoring bias, availability bias, regret aversion bias, loss aversion bias, mental accounting bias and herding bias.

The three most influential criteria were herding bias, loss aversion bias and overconfidence bias. The five most influential sub-criteria were “I readily sell shares that have increased in value (C61),” “News about the company (Newspapers, TV and magazines) affects my investment decision (C84),” “I invest each element of my investment portfolio separately (C71)” and “I usually hold loosing stock for long time, expecting trend reversal (C52).”

Although sample survey conducted in the present study was based on a limited sample selected from a particular area that truly represented the total population, it is considered as the limitation of this study.

The outcome of this research provides investors with a better understanding of behavioral biases that influence their decision making. This study provides them a guideline on different behavioral biases that they should consider while making investment decisions.

The research model is based on the available literature on behavioral finance and the research results and findings would add value to the existing knowledge base.

The main objective of this paper is to analyze the dynamic volatility spillovers between the investor's behavioral biases, the macroeconomic instability factors and the value at risk of the US Fintech stock market before and during the COVID-19 pandemic.

The authors used the methodologies proposed by Diebold and Yilmaz (2012) and the wavelet approach.

The wavelet coherence results show that during the COVID-19 period, there was a strong co-movement among value at risk and each selected variables in the medium-run and the long-run scales. Diebold and Yilmaz's (2012) method proved that the total connectedness index raised significantly during the COVID-19 period. Moreover, the overconfidence bias and the financial stress index are the net transmitters, while the value at risk and herding behavior variables are the net receivers.

This study offers some important implications for investors and policymakers to explain the impact of the COVID-19 pandemic on the risk of Fintech industry.

The study findings might be useful for investors to better understand the time–frequency connectedness and the volatility spillover effects in the context of COVID-19 pandemic. Future research may deal with investors' ability of constructing portfolios with another alternative index like cryptocurrencies which seems to be a safer investment.

To the best of the authors' knowledge, this is the first study that relies on the continuous wavelet decomposition technique and spillover volatility to examine the connectedness between investor behavioral biases, uncertainty factors, and Value at Risk of US Fintech stock markets, while taking into account the recent COVID-19 pandemic.

Consumers who experience social exclusion often prefer high-risk financial products over low-risk financial products. The aim of this study is to examine how this effect can be attenuated by applying the theories of mental budgeting and pain of payment. The authors’ aim in pursuing this research is to improve the effectiveness of financial professionals and others in educating consumers on healthy financial practices. Understanding how social exclusion experiences influence financial decision-making is essential for continued progress in consumer financial education.

The authors examine the effect of consumers experiencing social exclusion on preference for high-risk financial products using an experimental design involving the manipulation of social exclusion/inclusion experiences. Data were collected from 148 consumers of mutual fund investment services via Amazon Mechanical Turk.

The study found that consumers experiencing social exclusion are more likely to make high risk investments. It also found that this effect is moderated by consumers' level of mental budgeting such that at high levels of mental budgeting the effect of social exclusion on investment choice is attenuated. The study further finds that the moderating effect of mental budgeting is mediated by pain of payment.

The findings of this study suggest that policymakers can reduce unduly risky personal investment behavior by triggering mental budgeting thoughts using methods such as advertising and explicit mention of transaction fees.

The present study builds on existing research demonstrating the adverse behavioral consequences of social exclusion but refines our understanding by demonstrating the attenuating effect of mental budgeting and the mediating effect of pain of payment on high risk financial purchases.

The purpose of this paper is to explore how heuristics are formed and whether herding and prospect theory act as antecedents to heuristics. The relationship is explored specifically for millennials.

The proposed relationship is explored specifically for millennials. Herding and prospect theory are modelled as antecedents to heuristics. The study uses survey data from 923 millennials from India to test the model for two financial products: equity and mutual funds. Regression analysis is used to evaluate the model.

Findings support the role of herding and prospect theory as antecedents to heuristics of millennials although to varying degrees for equity and mutual fund investments. The impact of herding on heuristics is likely to be smaller for equity investments as compared to mutual fund investments.

The findings provide insights into how heuristics are formed for millennials. The findings add to literature by beginning a new line of inquiry on how heuristics are formed. Since the model is tested on a single generation, future research can test the model on other generations. In addition, future research can also add more antecedents to our proposed model.

Findings from this study can provide financial planners and marketers with an understanding of how heuristics are formed for millennials. Financial planners can use these insights while providing financial advice to this generation and marketers can use them to create more relevant outreach.

Financial investments are an important conduit for financial security. By understanding the cognitive processes that influence financial investment decision-making, it is possible for educators to create content appropriately and for financial planners to advise clients accordingly to enable optimal financial decisions that will be wealth-creating.

Existing literature primarily treats heuristics, herding and prospect theory as being independent of each other. The authors take a novel approach to model the antecedents to heuristics to be herding and prospect theory. The model is tested on millennials for two financial products: equity and mutual funds.

It has been argued that the insights provided by behavioural economics have profound implications for the study and practice of marketing. The purpose of this paper is to provide a detailed analysis of how such insights help enhance understanding of aspects of marketing and consumer behaviour in financial services markets.

This paper looks at various facets of behavioural economics which it is felt provide particularly important and salient insights in the context of financial services. In particular, it studies loss aversion and prospect theory, status quo bias and defaults, framing and anchoring effects, hyperbolic discounting, availability effect and salience and over‐confidence. In doing so, it provides a number of examples from the financial services context which provide insightful and informative insights for both commercial practitioners and policymakers. In each case, relevant phenomena are introduced and explained before providing a number of applications and examples from the financial services domain.

The authors find that the insights afforded by behavioural economics are useful in helping to explain various aspects of consumer behaviour in financial services markets. It is shown that an understanding of the implications of behavioural economics may help in fashioning a choice architecture that is more likely to bring the desired consumer response, from either a commercial or policymaking perspective.

This analysis provides important insights for those responsible for the marketing of financial services, policymakers in the financial services domain, third sector agencies seeking to foster greater engagement with financial services and other interested parties.

The paper adds value by drawing together various aspects of behavioural economics, providing an analysis of their relevance to financial services marketing and offering numerous examples and applications.

The current study examines public accountants' professionalism and professional commitment (PC) and their effect on job performance. Results provide support for four of five dimensions of Hall's (1968) professionalism framework (beliefs in professional affiliation, professional dedication, self-regulation, and social obligation) and Meyer et al.'s (1993) three-dimensional PC framework (affective, continuance, and normative professional commitment) for modeling public accountants. Support was also found for most of the hypothesized relationships between professionalism and PC. Beliefs in professional affiliation, professional dedication, and self-regulation positively influenced affective professional commitment (APC). Belief in professional affiliation was negatively influenced by continuance professional commitment (CPC) but positively influenced by normative professional commitment (NPC). Belief in social obligation was also positively influenced by NPC. As expected, professionalism and PC were associated with job performance. Professionalism had an incremental effect beyond PC on job performance and as well, PC had an incremental effect over professionalism on job performance. Identifying relationships between professionalism and professional commitment with desirable outcomes is important for justifying future investments in the public accounting profession. Understanding these issues will assist in determining the types of professional attributes and commitments that are and should be fostered by the accounting profession.

This study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.

In the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.

This study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.

The outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.

The recent surge in behavioral studies on the coordination mechanisms in supply chains (SCs) and advanced methods highlights the role of SC coordination (SCC) and behavioral issues associated with improving the performance of the operations. This study aims to critically review the behavioral aspect of channel coordination mechanisms.

Following a systematic literature review methodology, the authors adopt a combination of bibliometric (to reflect the current state of the field), content (using Leximancer data mining software to develop thematic maps) and theory-oriented qualitative analyzes that provide a holistic conceptual framework to unify the literature’s critical concepts.

The analysis confirms the plethora of risk-oriented publications, demonstrating that the second largest category of studies is concerned with social preferences theory. Most studies were based on experiments, followed by analytical modeling, revealing the impact of heuristics and individual preferences in SC decisions and suggesting promising managerial and theoretical avenues for future research.

The study sheds light on behavioral decision theories applied to SC coordination by categorizing the literature based on the adopted theories. The methodological contributions include using automated content analysis and validating the outcome by interviewing leading scholars conducting active research on “behavioral operations management and SC contracts.” The authors also propose several directions for future research based on the research gaps.

With the rise of social media, online tipping has developed markedly in recent years. Drawing on emotional accounting, this research examined the effects of pride-tagged money (PTM) and surprise-tagged money (STM) on online tipping. It examined the mediating role of self-inflation and the moderating role of the perceived importance of money in the proposed relationship.

Five experimental studies were conducted to test the hypotheses using ANOVA, SmartPLS3 and bootstrap analyses.

The results reveal that pride-tagged (vs surprise-tagged) money leads to higher self-inflation, which leads to an increased willingness to engage in online tipping. It illustrates that when the perceived importance of money is low, PTM results in a higher willingness to engage in online tipping than STM. However, when the perceived importance of money is high, the effect of PTM (vs STM) on the willingness to conduct online tipping is attenuated, and no significant difference exists in the willingness to engage in online tipping between people with PTM and those with STM. In addition, it shows that PTM (vs STM) leads to a higher amount of online tipping, and self-inflation mediates the proposed relationship.

Practically, web-based marketing managers should design programs (e.g. content that encourages users to feel pride in their achievements) that cause users to emotionally tag their money with pride as a means of increasing their willingness to engage in online tipping and to increase the amount of such tipping.

To the best of the authors’ knowledge, this study provides the first evidence of how different sources of money influence online tipping.