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This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

This study takes an affordance approach to explain how users perceive the affordance of user action within blockchain and examines how it influences the subsequent user experience. Focusing on the effect of trust on cognitive processes, the authors analyze how affordances in blockchains affect the user experience.

The blockchain affordances are examined through a two-stage process. The authors employ a qualitative analysis based on insights gained from the current literature and interviews. The authors then apply a quantitative survey to examine the role of trust in interactions with blockchain services. A structural user model was tested in which their appreciation of affordances of blockchain predicted the trust and satisfaction.

Users' appreciation for transparency and reliability explained to what extent they trust and are satisfied, thereby suggesting the heuristic roles of trust in blockchains. The study findings indicate a heuristic role for trust regarding underlying links to technological and affective affordances. A user's cognitive heuristics affect their attitudes toward blockchain, in which technological features are processed through users' perceptions and experience.

The model contributes to the conceptualization of security, privacy and traceability along with trust, which is then linked to transparency and reliability. The findings show how the frame of affordances gains explanatory power by being linked to the concepts of affect and emotion. The heuristics of direct perception of security–traceability–privacy (STP) can be used to understand the trajectory of heuristics and ongoing choices of blockchain.

The study results offer a lens through which to address the technology's most common problems by pairing user experience principles and heuristics to blockchain technologies. This study offers insights into the understanding of user actions related to blockchains and into practical implications for developing trust-based services. The results guide the application and tailoring of motivational affordances in blockchain.

While blockchain technology has gained popularity and momentum, there has been little research on how specific features of blockchain technology create value. This study contributes to the research gap by highlighting the role and dimension of trust in relation to STP in blockchains and provides meaningful implications for theory and practice.

The purpose of this paper is to investigate the effect of heuristic biases, namely, availability bias and representativeness bias on investors’ investment decisions in the Pakistan stock exchange, as well as the moderating role of long-term orientation.

Using a structured questionnaire, a total of 374 responses have been collected from individual investors trading in PSX. The relationship was tested by applying the partial least square structural equation model using SmartPLS 3.2.2. Further, Henseler and Chin’s (2010) product indicator approach for moderation analysis was applied to the data set.

The results revealed that availability bias and representativeness bias have a significant and positive influence on the investment decisions of investors. Furthermore, a significant moderating effect of long term orientation on the effect of representativeness bias on investment decision is observed. This suggests that investors’ long term orientation weaken the effect of representativeness bias on investment decision. However, no significant moderating effect was observed for availability bias.

The paper provides novel insights on the role of heuristic-driven biases on the investment decisions of individual investors in the stock market. Particularly, it enhanced the understanding of behavioral aspects of investment decision-making in an emerging market.

The competition among banks in Taiwan is fierce. The financial services offered by banks are highly similar and banks attempt to devise a variety of marketing campaigns to gain brand preferences of bank clients. However, little research regarding bank marketing has applied the segmentation strategy to precisely target bank clients. The purpose of this paper is to explore the moderating roles of cognitive load and brand story style in the impact of bank clients’ affective orientation on brand preference of bank clients.

A total of 216 participants who have bank accounts in Taiwan were randomly assigned to a 2 (brand story style: underdog vs top dog) × 2 (cognitive load: low vs high) factorial design. An ANOVA was conducted to examine the interaction effects of affective orientation, cognitive load and brand story style on the brand preference of bank clients. Affective orientation of participants was measured by Affective Orientation Scale.

Results demonstrate that for bank clients with low and high affective orientation, advertisements characterized by cognitive load (low vs high) and brand story style (underdog vs top dog) will elicit differential brand preferences of bank clients.

This is the first research to examine the moderating effects of bank clients’ affective orientation, cognitive load and brand story style on brand preferences of bank clients. Specifically, this research takes up the call to apply bank clients’ personality traits to examine the impact of bank marketing on brand preferences of banks.

The purpose of this paper is to examine drivers’ willingness-to-pay (WTP) tolls using data from a survey of drivers in the Hampton Roads region of Southeastern Virginia. The theory of planned behavior is applied to understand the different factors contributing to WTP tolls. The study measures different dimensions of WTP, offers a two-stage approach that aligns correlates of WTP tolls in logical sequence, and assesses the role of price information (toll rates) as an anchor heuristic in WTP.

Three WTP measures are elicited via contingent valuation method using three survey questions that incorporate different price information. The study tests the role of price information as an anchor heuristic. WTP is analyzed using a two-stage decision process. Drivers first decide whether, in-principle, to support tolls, followed by the amount they are willing to pay (maximum and peak amounts). Three regression models are run to test the impact of ability to pay on amount WTP, impact of in-principle WTP on maximum WTP, and impact of maximum WTP on peak WTP given an anchor toll rate.

Attitudes supportive of tolls and the ability to pay are predictors of in-principle WTP, while in-principle WTP predicts amount (maximum and peak) WTP. Price information, as an anchor heuristic, reduces variability in amount WTP and conditions the amounts WTP.

The value and originality of this study lie in the application of the theory of planned behavior to study WTP tolls, the use of contingent valuation, and the effect of anchor heuristics.

As good as existing measurements of entrepreneurial potential (EP) may appear in the literature, they are fragmented, suffer from the lack of theory integration and clarity, are inadequately specified and assessed and the dimensions are unordered by importance. These limitations of EP metrics have hindered entrepreneurial practice and theory advancement. There is a risk of atomistic evolution of the topic among “siloed” scholars and room for repetitions without real progress. The purpose of this paper was to take stock of existing measurements from which the authors developed a new instrument that is brief and inclusive.

The authors followed several steps to develop and validate the new instrument, including construct domain name specification, literature review, structured interviews with entrepreneurs, face validation by experts, semantic validation and statistical validation after two waves of data collected on employee and entrepreneur samples.

A clear operational definition of EP is proposed and serves as a starting point towards a unified EP theory. The new EP instrument is made up of 34 items classified into seven dimensions, which in order of importance are proactive innovativeness, management skill, calculated risk-taking, social skill, financial literacy, entrepreneurial competencies prone to cognitive and heuristic biases and bricolage. The authors provide evidence for reliability and validity of the new instrument.

Although a model is not the model, the authors discuss several ways in which the new measurement model can be used by different stakeholders to promote entrepreneurship.

The authors discuss the domain representativeness of the new scale and argue that the literature can meaningfully benefit from a non-fuzzy approach to what makes the EP of an individual. By developing a new EP instrument, the authors set an important pre-condition for advancing entrepreneurial theory and practice.

The current body of empirical research regarding the impact of trust in the cybersecurity commitment of institutions on digital payment usage has focused solely on a macro-level analysis, overlooking the intricate dynamics between institutions' cybersecurity commitments and the trust levels of digital payment users. In light of this limitation, this study aims to offer a more comprehensive understanding of this complex relationship.

A case study was conducted on digital payment users in India through the critical realist lens. To gather data, interviews and focus group discussions were conducted with digital payment users from various regions of the country.

The citizen-centric outcomes of the national cybersecurity commitment (performance and responsiveness) are the most prominent and impactful trust indicators. These outcomes play a crucial role in shaping digital payment users' perception and trust in the cybersecurity commitment of public institutions. Individuals' value positions also influence trust judgments, as it is essential to recognize the value tensions that may arise due to security implementation and their congruence with citizens' values.

The findings of this study have significant implications for policymakers. They are potentially an artifact of the security and perception of digital payment users and the cultural uniqueness of digital payment users in India.

The study proposes a holistic understanding of the relationship between institutions' cybersecurity commitments and the trust levels of digital payment users. It offers a qualitative evaluation of how digital payment users perceive and construe efficient information security management implemented by public institutions.

The aim of this special issue is to better understand the strategy and change interface, in particular, the (sub)processes and cognitions that enable strategies to be successfully implemented and organizations effectively changed. The ten papers selected for this special issue reflect a range of scholarly traditions and, thus, as our review and integration of the relevant literatures, and our introductions to the ten papers demonstrate, they shed light on the strategy and change interface in starkly different ways. Collectively, the papers give us more insight into the recursive activities, and structural, organizational learning and cognitive mechanisms that are encouraged or deliberately established at organizations to allow their people to successfully implement a strategy and effect change, including achieve greater levels of horizontal alignment. Moreover, they demonstrate the benefits associated with establishing platforms and/or routines designed to overcome decision-makers’ cognitive shortcomings while implementing a strategy or making timely adjustments to it. We conclude our editorial by identifying some yet unanswered questions.

The purpose of this research is to analyze the influence of heuristics on Brazilian investors' behavior in the decision-making process.

The authors apply the partial least squares structural equation modeling methodology. This sample is composed of 220 investors.

The heuristics of overconfidence and anchoring positively influence investors' decision-making, while loss aversion negatively influences it. The herd effect exhibits no influence. The results also support the idea that decision-making positively influences investors' performance. Investors feel secure in their attitudes regarding financial decision-making, even if their decisions are not always rational as they are affected by biases.

This article explains the influence of heuristics on investors' decision-making and performance in the Brazilian context during the COVID-19 pandemic.

The evaluation of website usability is the precondition and a critical step for website design and optimization. The purpose of this paper is to investigate and provide empirical evidence of the interrelationships between human physiological metrics and website usability. This study examines how eye-movement metrics and heart rate variability (HRV) evaluate website usability, and then affect users’ online surfing behavior.

A physiological measurement experiment is designed to collect participants’ physiological metrics. This paper proposes an objective measurement model for website usability, and partial least squares is used to analyze the measurement and structural models, based on data collected from 200 participants who had experienced online surfing at least four times.

The analysis supports partially or fully 28 of the 31 hypotheses formulated. The study reveals that human physiological metrics (i.e. fixation duration, fixation count, blink count, HRV) have a strong explanatory ability for website usability.

Data for this study were collected only from mainland China. Therefore, participants may have been influenced by Chinese cultures. The generalizability of this study may be enhanced by collecting data from more diverse samples and validating the model on different cultures.

This study contributes significantly to the industry by providing empirical evidence of the interrelationship between human physiological metrics and website usability. The findings also provide managers with valuable insight into better understanding of the nature of these interrelationships.