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Strategic management research faces increasing calls concerning our work's relevance, reliability and credibility. Management journals have addressed these concerns by elevating the expectations for scholars during the publication process, such as publishing code, scripts and data. While the authors’ believe these changes are necessary for the field's long-term success, in the short term, there is a high resource cost for researchers (many with temporal constraints) to adjust to these new expectations. In this paper, the authors aim to decrease this cost on Strategic Management researchers in two ways. First, the authors discuss the vision, strengths and step-by-step instructions for the emerging code-sharing instrument – The SMART tool (Standardized Measures that are Accurate, Replicable and Time-saving, available at http://www.smartdatatool.net/) – for Strategic Management research. Second, the authors discuss some essential conditions for the tool's benefits to be fully realized by the field. Together, this paper offers the initial steps for creating a collaborative and open-source ecosystem for code and data in Strategic Management research that can strengthen stakeholder confidence in the field.

This chapter describes the redevelopment of the Open Language Chief Executive Personality Tool (OLCPT), a language-based machine learning (ML) tool for assessing executives' traits along the five factor model (FFM) of personality (openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism). Whereas the initial release of the OLCPT demonstrated the viability of using supervised machine learning to unobtrusively assess executives' personality traits, recent advances in artificial intelligence (AI) related to large language models (LLMs) warranted revisiting its development. After applying LLM embeddings and performing other updates, including expanding the training sample, the redeveloped tool (available at https://zenodo.org/records/10800801) achieved substantially higher convergent validity than the initial release. The updated tool also demonstrates strong discriminant validity and reliability, and it can measure traits not included in the initial version (narcissism and humility). These improvements demonstrate the potential value of continuously updating existing, computer-aided measures in strategy and management research. Yet, such efforts may not always be feasible or even necessary. Thus, we also use this chapter to offer guidelines for determining when updating similar measures is worthwhile, urging scholars to carefully consider how existing tools perform and the relevance of advancements to the technologies underlying them. We conclude with additional suggestions for advancing measurement in our field, including keeping up with emerging technologies, encouraging complementary approaches to enable triangulation, avoiding the use of advanced techniques without carefully considering their applicability in a given context, and being realistic about what we ask for during the review process and what we consider a meaningful contribution in our field.

This study investigates the intersection between nutrition and sport management, focusing on how sport fans' dietary choices are influenced by the framing of food attributes in different game contexts.

Two experiments were conducted around American football events to examine these choices. Experiment 1 utilized a 2 (Perceptions of Rivalry Games: Rivalry vs. Non-Rivalry) × 3 (Perceived Food Attributes: Energy vs. Healthiness vs. Environmental-Friendliness) between-subjects design. Experiment 2 employed a 2 (Game Outcome: Victory vs. Loss) × 3 (Perceived Food Attributes: Energy vs. Healthiness vs. Environmental-Friendliness) between-subjects design.

The findings revealed that during rivalry games or after their favorite teams' losses, fans tend to prefer high-calorie, nutrient-poor foods framed as energy sources. Conversely, victories prompt fans to opt for healthier and more environmentally friendly food choices.

This research provides novel insights into how a performance-driven mindset influences dietary choices among sport spectators. The results offer practical implications for sport managers and marketers, emphasizing the importance of strategically framing food attributes at sporting events to encourage healthier eating behaviors among fans. By leveraging these insights, sport organizations can enhance fan experiences and promote overall well-being.

The purpose of this paper is to inform readers who are interested in textbooks, sports and sports economics, but especially professors who teach sports economics, about the coverage of sports in principles of economics textbooks.

The data in the paper consist of the 130 sections on sports from twenty-one principles of economics textbooks. The paper illuminates the sections using numerous quotations and in-text references. The paper details the number of sections devoted to each sport, economic concepts they illuminate and how the text covers topics such as league rules, broadcast revenues and women in sports.

The paper finds that the 21 textbook authors devote an average of 934 words in an average of 6.2 sections of text to 11 sports. Sections of text vary from one sentence to lengthy discussions of topics such as increased salaries due to technological advances in broadcasting, antitrust cases, the gender pay gap and bargaining between leagues and players' unions. The authors refer to five published research papers on sports economics, two quantitative books, two quantitative articles in the popular press and one nonquantitative nonfiction book.

This paper provides data to researchers who study sports regarding topics that students are being taught in economics texts. It is a potential tool for connecting their areas of research to the university experience.

Sports economics professors, and other professors, may enhance student interest by a choice of text for their principles classes.

Sports coverage in principles texts illuminates topics such as the effect of technology on income distribution, the morality of paying college athletes, the interaction of the legal system and markets and the gender gap.

No other publicly referenced paper details the use of sports in principles textbooks.

This study examines the role of crowd wisdom in misinformation correction. Going beyond fact-checking, we investigate the mechanisms underlying laypeople’s participation in misinformation correction. Drawing upon the Norm Activation Model (NAM), this study conceptualizes misinformation correction as a prosocial behavior and examines the impact of various media and social psychological factors on laypeople’s motivations to engage misinformation correction behavior.

Through a national survey of 1,022 respondents, we explore the norm activation process triggered by the perceived prevalence of online misinformation, which directly and indirectly impacts online misinformation correction intentions via awareness, norms, and efficacy. This mechanism was tested using structural equation modeling.

This study found that perceived prevalence of misinformation, self-efficacy, and outcome efficacy play multilayered roles in shaping misinformation correction intentions. The effects were mediated by the activation of personal norms, which showed the strongest direct relationship with correction intentions. However, these factors also demonstrated direct associations with correction intentions, indicating multiple paths in misinformation correction.

Differing from mainstream fact-checking approaches, this study provides a more comprehensive examination of the mechanisms underlying laypeople’s willingness to engage in social media misinformation correction behaviors. In addition, this study also extends NAM by incorporating media environment (perceived prevalence of online misinformation) into the model, identifying more paths affecting misinformation correction behaviors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0437

This chapter presents a novel exploration of generative Artificial Intelligence (AI) applications within the context of digital transformation in higher education, specifically focusing on the social sciences. Despite the interest in AI technologies for educational enhancement, there remains a notable gap in the literature: a comprehensive comparison of generative AI tools and their effectiveness in social science education. Addressing this gap, our study serves a dual purpose. Initially, we delineate the potential roles and benefits of generative AI in the pedagogical processes of teaching and learning. Subsequently, we conduct an empirical analysis of five leading generative AI engines to assess their performance and applicability in educational settings. Through this investigation, we aim not only to equip educators with a deeper understanding of the advantages and limitations of current AI technologies but also to inform AI developers about the specific needs of social science educators. The goal is to foster the development of more refined and effective generative AI solutions that can significantly enhance educational outcomes in the digital era.

Consciously or unconsciously, every management researcher adopts a certain philosophical perspective. In this chapter, I discuss the connection between philosophy and management research and show how philosophical perspectives affect the perception of empirical phenomena, choice of research methods, and interpretation of research results. The discussion indicates that the connection is far more crucial than what many management researchers may have thought. I then share my experience of studying philosophy and provide suggestions to those who are interested in enhancing their knowledge of the subject.

Virtual reality (VR) presents an important technological advancement that can enable management researchers to improve their laboratory work and test theories previously considered untestable. VR places a participant in a virtual environment completely designed and controlled by the research team. These environments can range from anything as benign as a regular corporate board meeting or a job interview to as hostile as a CEO answering questions in front of Congress or witnessing sexual harassment in an office hallway. A key feature of experimental work using VR is drastic improvements in external and ecological validity – VR allows researchers to transition experiments from measuring how participants self-report they would react in the real-world to measuring how they actually behave when confronted with a scenario literally in front of their eyes. While alluring, the design, coding, and implementation of studies using VR adds technical complexity to projects and care must be taken to be intentional throughout the process. In this manuscript, we provide guidance to management scholars to understanding VR, its potential applications, and the considerations one must undertake when creating studies using VR. Overall, we advocate the use of VR by management researchers in their work and introduce both a roadmap and best practices to jump-start such endeavors.

Cyberloafing has emerged as a significant phenomenon in the modern workplace, largely driven by shifts in work dynamics. Recent discussions suggest that Dark Triad traits may play a critical role in influencing cyberloafing behaviors; however, research exploring these traits in the context of cyberloafing remains limited. The purpose of this paper is to investigate the complex relationship between the Dark Triad personality traits – psychopathy, Machiavellianism and narcissism – and cyberloafing. Additionally, this study examines four other psychological variables and two demographic factors as potential correlates of cyberloafing.

The survey sample consisted of 155 working adults from the USA who participated via Amazon’s Mechanical Turk (MTurk). All participants were required to be full-time employees (working 35 or more hours per week) and hold MTurk Master qualifications.

The findings of this study provide credible support for the research hypotheses. While not all Dark Triad traits are linked to cyberloafing, the influence of certain traits is significant enough to draw meaningful conclusions. Specifically, the results of this study showed that Machiavellianism and psychopathy were associated with both forms of cyberloafing: browsing activities and emailing activities. However, narcissism was not related to any form of cyberloafing. Additionally, pay satisfaction and social media addiction were positively related to both forms of cyberloafing, while age was negatively related.

This paper addresses several limitations, suggests avenues for future research and outlines practical implications for organizations aiming to mitigate the adverse effects of cyberloafing.

Cyberloafing – engaging in non-work-related online activities during work hours – has gained increasing attention because of its potential to disrupt productivity and organizational functioning. However, limited research has explored this important behavior in depth. Building on contemporary studies, this study investigates the underlying mechanisms and potential implications of how Dark Triad traits may either encourage or mitigate cyberloafing.