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Drawing on the microfoundations theory and rational choice sociology, this study aims to investigate knowledge-sharing microfoundations through knowledge sabotage behaviours in the workplace. As such, it aims to shed light on the adverse impact of knowledge sabotage on a knowledge-sharing climate.

As a quantitative deductive study, it is based on information collected from 329 employees of European companies by self-administered online surveys. Data validity and reliability has been assessed through a confirmatory factor analysis, and data analysis was carried out by using a covariance-based structural equation modelling technique.

The findings from the empirical investigation supported the baseline hypotheses of the multilevel conceptual model, which is the positive relationship between organizational trust and environmental knowledge sharing. Then, recurring to a microfoundational exploration, this study supports the mediating indirect effect of job satisfaction and knowledge sabotage in affecting knowledge sharing as a social outcome.

This study concurs to broaden knowledge-sharing awareness among scholars and practitioners, by focusing on knowledge sabotage as its most pernicious counterproductive behaviour. Furthermore, this research provides valuable guidance for the future development of research based on multilevel investigations.

This study builds on the need to explore the numerous factors that affect knowledge sharing in economic organizations, specifically focusing on knowledge sabotage. Adapting Coleman’s bathtub, the authors advance the first multilevel conceptual model used to unveil the knowledge-sharing microfoundations from the perspective of a counterproductive knowledge behaviour.

The purpose of this study was to explore the leadership competencies of the National Collegiate Athletic Association (NCAA) college athletes and assess the potential differences between domestic and international college athletes.

A quantitative, non-experimental research design was employed, including the use of an electronic survey to collect data. Survey research allows for extensive data management and a quick data collection method (Creswell & Creswell, 2018). The survey was conducted using online Qualtrics software, which allowed convenience in administration, maintenance, nationwide distribution and data export and analysis.

The findings of this study suggest that domestic college athletes develop greater leadership competencies than their international peers.

The study implications include both practical and academic contributions. The research in the area of leadership development in college athletes has been growing. Previous research has focused on the benefits of the leadership development (Lewis, 2023); however, minimal research has been dedicated to exploring actual leadership constructs within the college athlete population. Moreover, this study focused on the differences between domestic and international college athletes’ leadership constructs. International college athletes go through additional challenges while balancing the academic part of being college athletes (Ridpath, Rudd, & Stokowski, 2020).

Minimal research has been dedicated to exploring actual leadership constructs within the student-athlete population. This study is the first study that explored leadership constructs from the quantitative lens and focusing on both domestic and international student-athletes. The literature on international student-athletes mainly focuses on the motivation arriving to the United States of America (Love & Kim, 2011) and their transitional experiences (Popp, Pierce, & Hums, 2011; Jolly, Stokowski, Paule-Koba, Arthur-Banning, & Fridley, 2022). However, limited literature focuses on the preparation of international student-athlete for life beyond their sport.

E-commerce companies use different types of dark patterns to manipulate choices and earn higher revenues. This study aims to evaluate and prioritize dark patterns used by e-commerce companies to determine which dark patterns are the most profitable and risky.

The analytic hierarchy process (AHP) prioritizes the observed categories of dark patterns based on the literature. Several corporate and academic specialists were consulted to create a comparison matrix to assess the elements of the detected dark pattern types.

Economic indicators are the most significant aspect of every business. Consequently, many companies use manipulative methods such as dark patterns to boost their revenue. The study revealed that the revenue generated by the types of dark patterns varies greatly. It was found that exigency, social proof, forced action and sneaking generate the highest revenues, whereas obstruction and misdirection create only marginal revenues for an e-commerce company.

The limitation of the AHP study is that the rating scale used in the analysis is conceptual. Consequentially, pairwise comparisons may induce bias in the results.

This paper suggests methodical and operational techniques to choose the priority of dark patterns to drive profits with minimum tradeoffs. The dark pattern ranking technique might be carried out by companies once a year to understand the implications of any new dark patterns used.

The advantages of understanding the trade-offs of implementing dark patterns are massive. E-commerce companies can optimize their spent time and resources by implementing the most beneficial dark patterns and avoiding the ones that drive marginal profits and annoy consumers.