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This paper aims to use the origin story of Dalhousie’s Faculty of Management as a foil for unpacking the tensions between deep disciplinary specialization and liberal education in business schools in Canada and the USA. Ultimately, the paper reveals that those tensions are not irreconcilable, and that through the fortunes of historical contingencies and deliberate decision-taking, a faculty can embrace the benefits of both breadth and depth.

The paper proposes a critical organizational history of management education through a case study. By drawing on secondary literature and archival sources, the authors focus on moments in business education, such as the founding of the Wharton School of Business, the release of the Carnegie and Ford Reports and the trend towards increased specialization to situate a case study of Dalhousie University’s Faculty of Management.

The authors find that the evolution of business education in North America from its broad, liberal origins towards narrow, specialization has come at a cost to some of the benefits of business and management education. An alternative approach, one reflected in the design of Dalhousie’s Faculty of Management, its programme offerings and its interconnection with other disciplines, enables the advantages of deep disciplinarity to co-exist (and cross-inform) with the advantages of liberal approach to knowledges.

The Dalhousie model offers business schools an example of a faculty that balances the rich insights of liberal interdisciplinarity with the need for sophisticated approaches to more granular, often disciplinary, topics. In addition, the paper offers the story of a multidisciplinary management faculty, some explanation for how that faculty was maintained despite pressures towards specialization; and in doing so, contributes to the limited historical research of management education, particularly in Canada, post-2000.

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.

Positive-framed and negative-framed messages were delivered to examine the effect of framing on intertemporal decisions through lab experiments while holding the level of financial literacy constant. The three big questions adopted by Lusardi and Mitchell were utilized to assess the financial literacy of our subjects before they were asked to complete 20 incentivized intertemporal decisions. A small, delayed reward and a slightly bigger one were incorporated into the intertemporal decisions with a delay of 30 days. The ordinary least square (OLS) shows that the negative relationship between financial literacy and discount rates was held when the delayed reward was small. Interestingly, when the delayed reward became slightly bigger, their discount rates were reduced significantly with the negatively framed message. These findings suggest that the negatively framed message can motivate individuals to save for a greater return in the real world. Lastly, subjects with the highest level of financial literacy were not responsive to the magnitude effect, proving that a financial literacy program is essential to strengthen the individual's financial plan and reduce their discount rates in the developing country context.

This paper aims to review, systematize and integrate existing research on disposition effect and investments. This study conducts bibliometric analysis, including performance analysis and science mapping and thematic analysis of studies on disposition effect.

This study adopted a thematic and bibliometric analysis of the papers related to the disposition effect. A total of 231 papers published from 1971 to 2021 were retrieved from the Scopus database for the study, and bibliometric analysis and thematic analysis were performed.

This study’s findings demonstrate that research on the disposition effect is interdisciplinary and influences the research in the domain of both corporate and behavioral finance. This review indicates limited research on cross-country data. This study indicates a strong presence of work on investor psychology and behavioral finance when it comes to the disposition effect. The findings of thematic analysis further highlight that most of the research has focused on prospect theory, trading strategies and a few cognitive and emotional biases.

The findings of this study can be used by investors to minimize their biases and losses. The study also highlights new techniques in machine learning and neurosciences, which can help investment firms better understand their clients’ behavior. Policymakers can use the study’s findings to nudge investors’ behavior, focusing on minimizing the effects of the disposition effect.

This study has performed the quantitative bibliometric and thematic analysis of existing studies on the disposition effect and identified areas of future research on the phenomenon of disposition effect in investments.

This study aims to conduct a bibliometric analysis on “intertemporal choice” behavior of individuals from journals in the Scopus database between 1957 and 2023. The research covered the data on the said topic since it first originated in the Scopus database and carried out performance analysis and content analysis of papers in the business management and finance disciplines.

Bibliometric analysis, including science mapping and performance analysis, followed by content analysis of the papers of identified clusters, was conducted. Three clusters based on cocitation analysis and six themes (three major and three minor) were identified using the bibliometrix package in R studio. The content analysis of the papers in these clusters and themes have been discussed in this study, along with the thematic evolution of intertemporal choice research over the period of time, paving a way for future research studies.

The review unpacks publication and citation trends of intertemporal choice behavior, the most significant authors, journals and papers along with the major clusters and themes of research based on cocitation and degree of centrality and relevance, respectively, i.e. discounting experiments and intertemporal choice, impulsivity, risk preference, time-inconsistent preference, etc.

Over the past years, the research on “intertemporal choice” has flourished because of the increasing interest of researchers and scholars from different fields and the dynamic and pervasive nature of this topic. The well-developed and scattered body of knowledge on intertemporal choice has led to the need of applying a bibliometric analysis in the intertemporal choice literature.

The purpose of this paper is to present a framework of ideation pathways that organically extend the current stock of knowledge to generate new and useful knowledge. Although detailed, granular guidance is available in the strategy literature on all aspects of empirically testing theory, the other key aspect of theory development – theory generation – remains relatively neglected. The framework developed in this paper addresses this gap by proposing pathways for how new theory can be generated.

Grounded in two foundational principles in epistemology, the Genetic Argument and the open-endedness of knowledge, I offer a framework of distinct pathways that systematically lead to the creation of new knowledge.

Existing knowledge can be deepened (through introspection), broadened (through leverage) and rejuvenated (through innovation). These ideation pathways can unlock the vast, hidden potential of current knowledge in strategy.

The novelty and doability of the framework can potentially inspire research on a broad, community-wide basis, engaging PhD students and management faculty, improving knowledge, democratizing scholarship and deepening the societal footprint of strategy research.

Knowledge is open-ended. The more we know, the more we appreciate how much we don’t know. But the lack of clear guidance on rigorous pathways along which new knowledge that advances both theory and practice can be created from prior knowledge has stymied strategy research. The paper’s framework systematically pulls together for the first time the disparate elements of transforming past learning into new knowledge in a coherent epistemological whole.

In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

Since the introduction of balanced scorecard by Kaplan and Norton in 1992, it garnered considerable research and practice attention across disciplines. Using bibliometric analysis, this study examines trends in balanced scorecard research in last 20 years and identifies future areas of research.

The Web of Science database was used to extract research papers from the 2003 to 2023 period with “Balanced Scorecard” as topic. The final sample consisted of 445 articles. Trends and patterns were analyzed using bibliometric analysis through research profiling and thematic analysis.

The findings reveal that BSC, spanning across disciplines, including business and operations, has enriched the theory and practice of BSC research. Analytical and survey methods were more prevalent than primary studies. Scholars from the USA and the UK have made noteworthy contributions to balanced scorecard research. Emerging themes include integrating human resources, sustainability, subjectivity in performance evaluation and non-financial performance indicators in BSC for better strategic decision-making.

The study would inspire researchers to generate new research questions and hypotheses and help in identifying gaps in the current knowledge base and areas where further investigation is needed. Managers would gain useful insights into performance management by studying the BSC research evolution to find a fit for modern-day industry needs.

The authors’ contribution fills the void by providing useful account of extent research over last 20 years using bibliometric analysis and motivate future research directions.

This study aims to analyse the impact of the big five personality traits on the financial risk tolerance of individuals. Furthermore, it also examines the differences in personality traits and financial risk tolerance across four generations: baby boomers, Generation X, millennials and Generation Z.

The data constituted 869 responses from Indian individuals, collected using a self-administered structured questionnaire using a convenience sampling technique.

Structural equation modelling analysis showed that openness to experience, extraversion and neuroticism had a significant impact on financial risk tolerance. Multivariate analysis revealed the role of specific personality traits in predicting the financial risk tolerance of generational cohorts. Mean difference showed that millennials and Generation Z had the greatest risk tolerance, whereas the tolerance levels were lower for Generation X and baby boomers.

This research provides insights into the role of personality on financial risk-taking among generational cohorts in India. Thus, these results cannot be generalised for other risk-taking domains or outside the Indian context.

This study’s results align with the pulse rate hypothesis of generational theory and contribute to the growing field of behavioural economics and finance. It provides a perspective of the emerging economy of India, where behavioural finance studies are still at a nascent stage.