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Counterproductive work behavior (CWB) imposes significant costs on organizations, thus antecedents of CWB are of particular interest to both practitioners and academics. The authors examine how one’s own narcissism interacts with co-worker narcissism to influence willingness to engage in retaliatory CWB against a co-worker.

The data for this study were obtained from Amazon Mechanical Turk participants and Master of Business Administration students, representing a cross-section of employee representatives.

The authors find that employees expect narcissistic co-workers to engage in continuing future CWB and this, in turn, increases employees' willingness to engage in retaliatory CWB. That is, non-narcissistic employees are provoked to engage in organizationally-destructive behaviors by peers perceived as narcissists. This affect is attenuated by the employee’s own narcissism. Relative to non-narcissists, narcissistic employees find a narcissistic co-worker more likeable, which reduces their willingness to engage in retaliatory CWB against the co-worker.

For corporations and HR managers, this study demonstrates the caution necessary when considering hiring and operational practices. Specifically, non-narcissists demonstrate increased willingness to engage in organizationally-destructive behaviors after interpersonal conflict with a narcissistic co-worker.

The authors extend prior research about interpersonal drivers of CWB, which primarily considered superior-subordinate dyad, by examining the joint effects of individual and co-worker narcissism in peer-to-peer relationships.

Student-led journals have a long history, yet they have received little attention in academic publishing and higher education research. This study aims to fill this gap and enrich the analysis of student-led publications from a novel point of view: the role of journals in shaping the academic identity of graduate students through a collaborative autoethnographic study.

The authors explore their personal experiences as student editors of Current Issues in Education (CIE) produced at Mary Lou Fulton Teachers College (MLFTC) at Arizona State University (ASU). The data were collected by first writing a personal narrative about their experiences serving on CIE’s editorial board. To support their notes, they drew from their memories and informal conversations with other student editors and reviewers, as well as advisors. They also drew upon some of CIE’s internal documents, such as editorial meeting minutes.

This study aligns with Inouye and McAlpine's (2019) systematic review of academic identity development for doctoral students, highlighting editorial work’s relevance to developing academic identity, particularly related to reflective thinking, authorial identity, confidence and learning through critique. Participating in the publication landscape through academic journals allows students to develop their authorial voice and collective identity as academics.

It is authors’ hope that this autoethnography provides a unique perspective for doctoral programs to consider how students can shape their scholarly identity outside of formal classroom learning. More pointedly, this study could be considered a useful resource for those institutions that run student-journals or plan to do so. The authors’ experiences could inform the policies that frame the day-to-day editorial practices, such as the peer review procedures.

This study demonstrates how student journals, as third spaces, provide opportunities for constructive interactions that contribute to the construction of academic identity and offer a platform for student engagement in scholarly publishing processes, ultimately boosting their confidence as writers and sense of belonging to academia.

This paper aims to explore the extent and characteristics of Canadian university reporting of and policy regarding greenhouse gas emissions from air travel. It identifies current approaches’ details and limits and recommends improvements.

The study developed questions and considerations for analysing reporting and policy, reviewed university documents and webpages and contacted university staff.

Roughly 20% of Canadian universities report flight emissions. Figures vary by factors of over 100 even when normalized or expressed as a percentage of institutional emissions. Inter-university differences in data collection and emissions calculation practices shape reporting. Canadian university air travel emissions cannot be meaningfully compared. Few universities have flight emissions reduction policies; those that do leave relevant decisions to individuals. These approaches do not respond adequately to the emissions reduction challenge.

This study is the first comprehensive survey of university flight emissions reporting for any country. Its original framework highlights calculation’s complexities. It recommends standardizing reporting process information disclosure, reporting flight emissions as a range and faculty leadership of emissions reduction efforts.

This qualitative study investigated the relationship between beauty standards and identity in the United States from the perspective of 20 self-identified millennial Black women. During semi-structured virtual interviews, participants defined Black, American, and millennial beauty standards distinctly. American beauty was associated with Eurocentrism and mainstream media representation. Interpretations of a millennial beauty standard were aligned with perceptions of the generation as tolerant and politically conscious. Black American beauty standards embraced the range of hair textures and skin tones present in the African diaspora. While participants were cognizant of the different beauty ideals present, their interaction with beauty standards was ambivalent. Interviewees found beauty knowledge accessible through social media. However, they remain confined to a restrictive beauty standard due to workplace expectations around professionalism. Participants negotiated where and when to express their intracultural beauty ideals but participated in the beauty industry through processes of learning how to care for their hair in its natural state. Even though they have autonomy and flexibility in expressing their cultural styles, personal and professional repercussions are still plausible. Future studies can expand on these findings by exploring perceptions of American beauty standards from a different generation, region, or identity.

This chapter explores the debate over ethnocentric curricula, highlighting dominant cultural values and knowledge, often resulting in the exclusion of minority perspectives. Critics argue for a more inclusive approach to enhance cultural understanding, student engagement, and global competence, while acknowledging the challenges of balancing breadth and depth in curriculum content. This chapter advocates for comprehensive educational reforms to reflect a diverse, multicultural, and inclusive society.

The purpose of this paper was to examine how mid- and upper-level police commanders' occupational perceptions shifted after the COVID-19 pandemic, upsurge in police protests, and perceived crime increases in 2020. We assess the extent to which these events altered police leaders' perceptions of stress, satisfaction, burnout and turnover intentions.

This study employs repeated cross-sectional survey data of over 900 police leaders who attended the FBI’s National Academy (FBINA) program. Respondents are distinguished by whether they attended the FBINA program before or after operations were suspended due to COVID-19. Bivariate tests were conducted to compare pre- and post-respondents' perceptions of stress, satisfaction, burnout and turnover intentions.

The findings indicate that post-pandemic respondents had higher turnover intentions than pre-pandemic respondents. The groups had no significant differences regarding stress, satisfaction and burnout perceptions.

The findings suggest that despite facing a global pandemic, police protests and perceived increases in crime, police leaders demonstrated high stability and resiliency. The data comprised law enforcement leaders who participated in the FBINA program; thus, the findings may not be generalizable to all officers.

This study is one of the first to assess changes in police leaders’ work perceptions following the COVID-19 pandemic, the rise in police protests and perceived increases in crime in 2020.

Decision-makers often struggle to combine advice with their own intuition. This study examines how advice-giver traits and decision-makers’ intuition influence advice uptake. We present a novel typology based on decision-makers’ trust in advice-givers and their perceived expertise.

This qualitative study uses a sample of publicly available interview data with 51 elite performers. Using inductive and content analysis, we explore the mediation between decision-makers’ intuitive competence (ability to effectively deploy intuition in interface with advice) and their autonomy (self-endorsement from past performance).

We identify four sources of advice: mentor advice, specialist advice, confidant advice and commentator advice. Drawing on instances of different sources of advice along varying degrees of trust and expertise, we propose a framework for interaction between intuitional competence and advice characteristics.

We offer a novel way of contextualising nuanced forms of advice and provide a structured typology of sources, characterised by trust and expertise. This typology and our findings help reconcile contradictions in decision-making research. Finally, we offer practical guidance for the uptake of advice.

This paper presents pyBibX, a Python library devised to conduct comprehensive bibliometric and scientometric analyses on raw data files sourced from Scopus, Web of Science and PubMed, seamlessly integrating state-of-the-art artificial intelligence (AI) capabilities into its core functionality.

The library executes a comprehensive exploratory data analysis (EDA), presenting outcomes via visually appealing graphical illustrations. Network capabilities have been deftly integrated, encompassing citation, collaboration and similarity analysis. Furthermore, the library incorporates AI capabilities, including embedding vectors, topic modeling, text summarization and other general natural language processing tasks, employing models such as sentence-BERT, BerTopic, BERT, chatGPT and PEGASUS.

As a demonstration, we have analyzed 184 documents associated with “multiple-criteria decision analysis” published between 1984 and 2023. The EDA emphasized a growing fascination with decision-making and fuzzy logic methodologies. Next, network analysis further accentuated the significance of central authors and intra-continental collaboration, identifying Canada and China as crucial collaboration hubs. Finally, AI analysis distinguished two primary topics and chatGPT’s preeminence in text summarization. It also proved to be an indispensable instrument for interpreting results, as our library enables researchers to pose inquiries to chatGPT regarding bibliometric outcomes. Even so, data homogeneity remains a daunting challenge due to database inconsistencies.

PyBibX is the first application integrating cutting-edge AI capabilities for analyzing scientific publications, enabling researchers to examine and interpret these outcomes more effectively. pyBibX is freely available at https://bit.ly/442wD5z.