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This study explores the emergence of discrimination based on observable characteristics. In many instances, agents presume differences arising from traits such as race or gender, even when these parameters are irrelevant to the situation at hand. This paper intends to reveal an emergent behavior and a persistent culture of discrimination caused by miscategorization in strategic interactions.

We assume that agents occasionally engage in conflicts modeled as asymmetric hawk and dove games, where boundedly rational agents may categorize their opponents based on observable traits to make effective decisions. Three categorization strategies are considered: fine-grained, regular, and coarse-grained. Subsequently, an evolutionary agent-based model is employed to examine the performance of these strategies in a dynamic environment.

The results demonstrate that fine-grained categorization provides an advantage when the cost of fighting is low, while coarse-grained categorizers exhibit more peaceful behavior, gaining an advantage when the cost of conflict is high. Our primary finding indicates the emergence of discrimination based on non-relevant traits, manifested through consistent aggressive behavior towards individuals possessing these traits.

This paper is the first to investigate the emergence of discrimination without assuming prior differences between groups. Previous studies have assumed either an initial population difference or a homophily-based approach. In contrast, we demonstrate that discrimination can emerge even in the absence of such assumptions. Discrimination between two groups may arise as long as there are agents who label these categories.

Prior research suggests a chief executive officer’s (CEO) background is highly predictive of the strategic predisposition. This paper aims to focus on the need for accuracy in the categorization of CEO background and the impact that modest, nuanced changes in coding definitions yield.

This study evaluates the use of biographic and demographic information of CEOs to provide a more nuanced and expansive approach to understanding the influence of legal education and experience on business strategy. Propositions as to more nuanced coding definitions are developed. Building upon Fligstein (1987), a proof-of-concept example is developed using CEO information available for 2010. That data is then reexamined using an altered method (Modified Fligstein) to discern changes in the number of CEOs contained within the background categories.

The two categorizations performed reveal that substantial differences in the number of CEOs coded into a category can come from relatively small changes in categorical definitions. In comparing the first categorization to the second, each of the vocational categories experienced a change, ranging from a decrease of 11.1% to an increase of 142.9%.

This study informs both theory and practice by increasing the efficacy of the use of biographic and demographic information to assess the strategic orientation of executives. It postulates and demonstrates that simple changes in the categorical definition produce significant changes and can skew empirical results that reduce the utility of prior studies.

The purpose of this paper is to form propositions about the relationship between top management team (TMT) heterogeneity and peer effects in investment decision-making and explore the mediating role of social learning processes.

To investigate the correlations between TMT heterogeneity and investment peer effects, we considered the TMT heterogeneity category, team process and contextual factors. With a sample of 8,467 firm-year observations from Chinese listed companies, we used the mean linear model and instrumental variable method to empirically examine their relationships. To identify the mediating role of social learning processes, we introduced a social learning model to find out the contextual factors influencing corporate social learning demands from three aspects and subsequently used comparative statics analysis to explore the variations in the main effect under these contextual factors.

For task-oriented heterogeneity (e.g. functional background, education and tenure heterogeneity), the opposite effects of information elaboration and social categorization processes make it a nonlinear multiplex correlation with investment peer effects. For relation-oriented heterogeneity (e.g. age and gender heterogeneity), the sole effect of social categorization processes leads to a negative linear correlation. Further, we identify the mediating role of social learning processes. In summary, we established a connection from the TMT heterogeneity, to information elaboration theory or social categorization theory, to social learning processes and ultimately to investment peer effects.

The results of this study provide a comprehensive perspective to predict the decision-making outcomes of team heterogeneity and contribute to heterogeneity research and practice.

This research aims to elucidate why consumers decide to eat meals that seem to be higher in calories and salt, despite their goal being to consume fewer calories and sodium. Korean participants are to be used for this study. The present research further investigated the impacts of categorization and averaging bias in relation to the health halo phenomenon, specifically focusing on traditional food and textured vegetable protein (soy meat) burgers. Thus, the present research investigated how consumers' intentions contrasted with their consumption goals in food choice circumstances.

We partitioned the survey due to the COVID-19 epidemic. A single, well trained surveyor first surveyed customers at cafés in Seoul and six other Korean cities. We received 102 in-person survey replies. A total of 254 advanced degree or undergraduate students from two universities completed an online questionnaire. There are 356 responses. Two studies were conducted where participants were instructed to evaluate the perceived healthiness, calorie content, and sodium level of different food items. The specifics of each study are elucidated in the main body of the paper.

This study shows that Koreans categorize meals as virtue or vice depending on their perceived healthiness, validating the categorization effect. Furthermore, this research demonstrated that consumers' perceptions of the health benefits of traditional meals and soy meat burgers impact their categorization. Koreans also assessed the average of the vice and virtue and found vice-virtue combination meals healthier than the vice alone. This affects how calories and sodium are perceived. This study also shown that high virtue affects averaging bias more than weak virtue in meals with vice and virtue combo.

This study extended food categorization and averaging bias to non-US consumers and confirmed this contradictory meal choice is universal. Health halo also affects food health perception. The results of this study revealed that Koreans consider traditional food healthier than western junk food. Korean customers incorrectly assume soy meat burgers have fewer calories and sodium than regular burgers. Thus, this study explains Korean consumers' food health misconceptions related to paradoxical consumption.

The social and economic importance esports has gained over the past decades has led to a quickly evolving academic interest in the topic. Yet, current perspectives on esports frequently are not precise enough, too context-specific and/or focus on the question whether esports is sports or not. This means that no precise structural concept has been provided thus far. Such a conceptualization as well as a categorization of esports and related types of video gaming are provided in this paper.

This paper is based on a narrative review considering academic literature from 2000 to 2021 and publications of relevant esports organizations. The review is conceptually extended by structural parallels to traditional sports.

The central outcome of this research is conceptualizing esports as a victory-driven, organized performance comparison of exclusively human players playing video games in a competitive setting. This comparison is based solely on the performance achieved during a defined time frame according to fixed rules with comparably equal team (starting) conditions. This conceptualization is embedded in a general categorization of video gaming based on structural similarities with and differences to esports. Moreover, characteristics that were rejected in regards to the conceptualization and the categorization are discussed.

This paper provides a comprehensive categorization of esports and other types of video gaming based on structural similarities and differences. It is thus of high relevance for academia and sport management practice alike and can further the development in both fields.

This paper contributes to leadership categorization theory by advocating a new method to surface people's implicit leadership theories. The purpose of this new approach is to simultaneously capture individual difference in how they conceptualize leadership but within a common framework to allow for comparison of within- and between-person effects.

The authors conduct a narrative review of the implicit leadership theory, leadership categorization theory, cognitive mapping and verbal protocol literature with the purpose of surfacing a research method that will overcome the problems of over-simplification and over-individualization in existing methods.

The authors argue that using a combination of cognitive mapping and verbal protocols can capture the idiosyncrasies of individual lay theories of leadership while retaining the ability to compare people's responses through a common framework. The authors provide an example of how this method can be used to elicit people's perceptions of one aspect of implicit leadership theories, intelligence.

This new method will provide a methodology to test the subset propositions advocated by leadership categorization theory. These include the idea that subordinate level implicit leadership theories contain a subset of attributes found in the basic-level implicit leadership theories, that there is attribute integrity in superordinate implicit leadership theories through the levels, and the idea that people define leadership differently depending on the context they are observing.

Whereas previous approaches to surfacing people's implicit leadership theories either heavily constrain their responses with a predetermined generic suite of attributes or are totally open-ended and idiosyncratic, the authors advocate an approach that combines the best of both.

This paper critiques institutional whiteness and racial categorisation in UK higher education. This is done through the representation of the complex narratives of “mixed race” women navigating their PhD experiences in predominantly white institutions, when their identities have proximity to whiteness.

This study introduces five vignettes of “mixed race” women, gathered from a wider study of 27 PhDs and early career researchers in UK higher education. The paper employs Yuval-Davis’ framework of belonging and bell hooks' approach to chosen versus forced marginality to create a conceptual framework based on fluid agency and empowerment, recognising belonging as an ongoing process.

The findings reveal how “mixed race” women can occupy a liminal space between belonging to and rejecting racial categorisation, as they attempted to situate their self-identifications within the boundaries of institutional whiteness.

The study only utilises a small sample size of five counter-stories from a larger study on PhD career trajectories, limiting its empirical claims. It also only engages with “mixed race” women who have proximity to whiteness, encouraging research on different “mixed race” intersections.

This paper encourages more discussion around “mixed race” experiences of UK higher education and critical engagement with higher education’s reliance on statistical data to understand racialised communities.

This paper contributes new empirical insights into how whiteness is experienced when “mixed race” women negotiate their relation to it in UK higher education. It also provides theoretical advancements into understanding of institutional whiteness and critically engages with racial categorisation.

The numerous spoil grounds brought about by mega transportation infrastructure projects which can be influenced by the ecological environment. To achieve better management of spoil grounds, this paper aims to assess their comprehensive risk levels and categorize them into different categories based on ecological environmental risks.

Based on analysis of the environmental characteristics of spoil grounds, this paper first comprehensively identified the ecological environmental risk factors and developed a risk assessment index system to quantitatively describe the comprehensive risk levels. Second, this paper proposed a comprehensive model to determine the risk assessment and categorization of spoil ground group in mega projects integrating improved projection pursuit clustering (PPC) method and K-means clustering algorithm. Finally, a case study of a spoil ground group (includes 50 spoil grounds) in a mega infrastructure project in western China is presented to demonstrate and validate the proposed method.

The results show that our proposed comprehensive model can efficiently assess and categorize the spoil grounds in the group based on their comprehensive ecological environmental risk. In addition, during the process of risk assessment and categorization of spoil grounds, it is necessary to distinguish between sensitive factors and nonsensitive factors. The differences between different categories of spoil grounds can be recognized based on nonsensitive factors, and high-risk spoil grounds which need to be focused more on can be identified according to sensitive factors.

This paper develops a comprehensive model of risk assessment and categorization of a group of spoil grounds based on their ecological environmental risks, which can provide a reference for the management of spoil grounds in mega projects.

The purpose of this paper is to identify the practices that owners of public profiles in social networking sites can leverage to actively build online reputation and to evaluate the impact of the adoption of such practices on the initial formation of trust toward these individuals when they are presented as new virtual work partners.

A theoretical model was developed and an experiment with 233 participants was utilized to assess the model using partial least squares structural equation modeling.

The results suggest that individuals can build their online reputations in public profiles of social networking sites via a series of practices of self-disclosure of information and that the adoption of these practices has significant effects on the initial formation of trust toward the profile owner in virtual work contexts. Categorization mechanisms such as stereotyping, unit grouping and reputation categorization have been found to contribute to the initial formation of trust, both from an affect and cognition-based perspectives.

Little is known about the information disclosure practices in public profiles of social networking sites that new work partners can adopt to facilitate the formation of trust between them before they start working together. This study has contributed to the existing body of literature by clarifying these practices and the relative importance of online reputation to the initial formation of trust during the outset of a new virtual work relationship.

Indoor environmental quality (IEQ) in buildings has an impact on people’s health, productivity and comfort. Maintaining the highest possible IEQ level in complex buildings, such as health care, is difficult due to economic and organizational constraints. This study aims to categorize the vicinities in a typical health-care facility in terms of importance and criticality in relation to the various IEQ factors, as well as to develop an IEQ assessment procedure.

A comprehensive literature review, established standards and structured interviews with industrial hygiene professionals in health-care settings were used in this study. To test the applicability of the developed IEQ assessment procedure, a pilot study was conducted in an existing health-care facility.

This study categorized health-care facilities into various vicinities and discovered three respondents group had varying IEQ perceptions (facility managers, environmental health specialists and nurses). According to the findings, indoor air quality is the most important and dominant factor influencing overall IEQ in health-care facilities. The trial application of the framework shows that much work is needed to improve the level of response and readiness of facility management and occupants to allow for the effective use of the developed procedure.

Previous research did not include a detailed categorization of vicinities in health-care buildings based on IEQ requirements. The findings of this study will help to close this knowledge gap and guide facility managers and operators in recognizing the relative importance of different IEQ factors, maintaining functional requirements and identifying priorities when developing maintenance and operational procedures and allocating resources.