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The present study sets out to examine the empirical literature on the behavioural aspects of cryptocurrencies, showing the findings of related studies and discussing the various results. A systematic literature review of cryptocurrencies in behavioural finance seems to be timely and particularly important in terms of providing a guide for future research. Key topics include an extent review on the issue of herding behaviour amongst cryptocurrencies, momentum effects and overreaction, contagion effect, sentiment and uncertainty, along with studies related to investment decision-making, optimism bias, disposition, lottery and size effects.

Systematic literature review.

A systematic literature review of cryptocurrencies in behavioural finance seems to be timely and particularly important in terms of providing a guide for future research. Key topics include an extent review on the issue of herding behaviour amongst cryptocurrencies, momentum effects and overreaction, contagion effect, sentiment (investor's, market's) and uncertainty, along with studies related to investment decision-making, optimism bias, disposition, lottery and size effect.

The authors' survey paper complements recent papers in the area by offering a systematic account on the influence of behavioural factors on cryptocurrencies. Further, this study's purpose is not just to index the relevant literature, but rather to showcase and pinpoint several research areas that have emerged in the field of behavioural cryptocurrency research. For all these reasons, a systematic literature review of cryptocurrencies in behavioural finance seems to be timely and particularly important.

This study aims to explore what may have contributed to risk-taking travel behavior during the COVID-19 pandemic and what may be the drivers of satisfaction and intention to travel again. The study compares travelers based on their travel purposes (business, pleasure and visiting friends and relatives [VFR]) and explore the influence of subjective well-being received from their travel activities.

Data from a structured survey of 323 US residents who traveled during the COVID-19 pandemic were collected on MTurk. Respondents were asked travel behavior questions related to their favorite trips and to rate several multi-item scales measuring the benefits expected and received from their trip, the trip’s contribution to their positive mental and subjective psychological well-being, as well as their satisfaction with the trip and intention to travel in the future. In addition, personality measures focused on risk-taking, thrill-seeking and self-confidence, as well as additional risk-related concepts of optimism bias, probability neglect and proximity to self.

Data analysis revealed some differences among respondents who traveled for business, pleasure and VFR purposes. Business travelers were more risk takers and thrill seekers; pleasure travelers achieved more well-being benefits from their favorite trips during the pandemic; however, VFR travelers’ satisfaction and intention to go on similar trips were explained more by the benefits they received from their favorite trips.

Although several studies addressed consumers’ travel motivation during the COVID-19 pandemic, there is a lack of empirical research comparing the characteristics of travelers based on their travel purposes, as well as their sociodemographics, personality traits and the expected and perceived well-being benefits from traveling.

The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed.

This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study.

It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse.

This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

The purpose of this paper is to empirically test the relationship between investors’ rationality and behavioural biases like self-attribution, overconfidence.

The study applies structural equation modelling to understand whether individual investors, besides being rational, are subjected to self-attribution bias and overconfidence bias.

The study shows the empirical evidence in the support of behavioural biases like self-attribution and overconfidence existing besides investors’ rationality. Moreover, there is a statistically significant positive covariance found between self-attribution and overconfidence, implying that an increase/decrease in self-attribution results in the increase/decrease in overconfidence and vice versa. It is also observed that the personal characteristics of an investor such as gender, age, occupation, annual income and their trading experience have an impact on behavioural biases.

The study focused on rational decision making, self-attribution and overconfidence biases using primary data. Further studies can be encouraged to test the existence of behavioural biases based on both market level and individual account data simultaneously.

Insights from the study suggest that the investors should perform a post-analysis of each investment, so that they become aware of past behavioural mistakes and stop continuing the same. This might help investors to minimise the negative impact of self-attribution and overconfidence on their expected utility.

To the best of the authors’ knowledge, this is the first study to examine the relationship among investors’ rationality, self-attribution and overconfidence in the Indian context using a comprehensive survey.

The purpose of this paper is to highlight the prominent cognitive biases that influence Lean practices in organisations that have a multi-cultural work environment which will aid the organisational managers and academics in enhancing the understanding of the human thought process and mitigate them suitably.

A multiple case study was conducted in organisations that were previously committed to Lean practices and had a multi-cultural work environment. This research was conducted on five companies based on 99 in-depth semi-structured interviews and seven process observations that sought to establish the system-wide cognitive biases present in a multi-cultural Lean environment.

The novel findings indicate that nine new biases influence Lean implementation and practices in a multi-cultural environment. This study also found strong connectivity between Lean practices and 45 previously identified biases that could affect positively or negatively the lean methodologies and their implementation. Biases were resilient enough that their influence on Lean in multi-cultural workplaces, even with transient populations, did not demonstrate cultural differentiation.

Like any qualitative research, constructivism and narrative analyses are subjected to understanding based on knowledge gained on the subject, and data may have been interpreted differently. Constructivist co-recreation of process scenarios based result limitations is therefore acknowledged. The interactive participation in exploring the knowledge sought after and interaction that could have a probable influence on the participant need to be acknowledged. However, the research design, multiple methods of data collection, generalisation based on data collection and analysis methods limit the effects of these and findings are reliable to a greater extent.

The results can provide an enhanced understanding of biases and insights into a new managerial approach to take remedial steps on biases’ influence on Lean practices that can result in improved productivity and well-being from a business process perspective. Understanding and mitigating the prominent biases can aid Lean manufacturing processes and support decision makers and line managers in improving lean methodologies’ effectiveness and productivity. The biases can be negated and used to implement decisions with ease. The influence of biases and the model could be used as a basis to counter implementation barriers.

To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes in a multi-cultural environment to identify the cognitive biases that influence Lean practices in organisations that were previously committed to Lean practices. The novel findings indicate that nine new biases and 45 previously identified biases influence Lean implementation and practices in a multi-cultural environment. The second novelty of this study shows the connection between cognitive biases, Lean implementation and practices in multi-cultural business processes.

The authors review the small but growing literature linking cognitive biases to food safety problems and foodborne illness outbreaks.

The authors conducted a search of peer-reviewed articles utilizing empirical methods published since the year 2000 focusing on food safety or foodborne illnesses/outbreaks and cognitive biases.

The authors find that most research is conducted at the consumer side of the food system, with few studies examining the potential problems that can arise in the production and processing of food. The authors also observe that most research tends to focus on a few cognitive biases.

This is the most comprehensive study to date examining insights from the literature on cognitive biases and the related discipline of behavioral economics to the specific problem of foodborne illness outbreaks and food safety problems.

This work aims to shed light on the cognitive biases that may have an influence on the strategic decision-making process, with a particular focus on those impacting both human resources (HR) standard activities within organizations and new innovative change management initiatives critical for them to survive.

This is a conceptual paper based on a literature review on cognitive biases and managerial decision-making. The conceptual approach is employed to outline how subjective cognitive barriers can undermine managerial decisions and, in particular, the objectivity of HR practices and change management initiatives.

The discussion emphasizes that cognitive biases are ever-present elements in the decision-making process of professionals, and they influence several areas of management including HR and change management.

Limitations of the study concern the method adopted, as it is conceptual. The implications of the paper are relevant for supervisors and employees working in the HR and innovation/R&D departments in order to create awareness within the organizational contexts and limit the negative influence of these cognitive barriers during their daily activities.

The research contributes to the knowledge on HR management and decision-making process by combining literature findings with practical examples and tips suggesting how to avoid biases in the decision-making process regarding HR and change management.

The purpose of this paper is to examine the perceptions of local project teams on critical success factors and project success in the context of international development projects in Maldives. It identifies the critical success factors of international development projects, examines how the success of international development projects in Maldives is perceived by local project team members, and analyzes the relationship between critical success factors and project success from the project teams’ perspective.

A survey questionnaire was used and 41 project team members participated in the study. Correlation analysis and regression analysis were performed to understand the relationship with project success and critical success factors.

The study found out that the levels of success of projects were perceived high among the project teams. The results indicated that monitoring CSF, coordination CSF, design CSF, training CSF, and institutional environment CSF had a significant relationship with project success. However, results of the regression analysis indicated that only monitoring CSF was significant in influencing project success.

The limited sample size and optimism bias of respondents were a constraint. Furthermore, further analysis of data may be required to advance analysis.

The study looks through the lens of project implementation teams in order to provide insights from their vantage point. The study provides insights based on the Maldivian context which will benefit similar island nation communities implementing similar projects.

The purpose of this paper is to establish a microeconomics model of corruption based on the behavioural sciences.

The methodology is a practical exploration, first in the convergence of the economics of corruption and the behavioural sciences; based on these conclusions, the microeconomic model of corruption is formulated.

The paper concludes in a model of the microeconomics of corruption.

There are no limitations in the model.

The practical implications are calculating the rent for corruption in the different scenarios.

The social implications are knowing the income from corruption.

To the best of the authors’ knowledge, this paper is original, and there is no microeconomics model of corruption formulated in the academic field, only in this work.