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This study investigates the role of athlete brands for the international marketing of professional sports leagues by examining how athlete brands contribute to initiatives of football leagues.

Through a single case study of the German Bundesliga underpinned by 17 semi-structured interviews with league, club and media executives, we identify specific brand co-creation opportunities of athlete brands and the sports league brand.

Our findings reveal that athlete brands play a significant role in enhancing league visibility, engaging global audiences and unlocking new markets. Moreover, we identify specific opportunities for co-creating league brand meaning through strategic partnerships and athlete endorsements.

This research contributes to the literature by highlighting the importance of athlete brands in sports league marketing and offering insights for practitioners on innovative marketing strategies. Using a multi-actor perspective, this study provides valuable insights by revealing how sports leagues can pursue innovative marketing strategies by considering the role of athlete brands, thereby offering new ways for fans and sponsors to engage with the sports league.

The purpose of this paper is to contribute to a better, empirically grounded and theoretically informed understanding of data analytics (DA) use and nonuse in accounting for decision-making. To that end, it explores the links between accounting logic, commercial logic and DA use in financial due diligence (FDD).

The paper reports the findings of a case study of DA use in the FDD practice of a Big Four accounting firm in Sweden (Pseudonym: DealCo). The primary data comprises semistructured interviews, observations and additional meetings. Institutional logics is mobilized as method theory.

First, accounting logic and commercial logic both drove and hindered DA use in DealCo’s FDD practice in different ways. Second, conflicting prescriptions for DA use existed mostly within commercial logic rather than between accounting logic and commercial logic. Third, accounting logic and commercial logic, as perceptual and conceptual filters, seemed to shape DealCo’s advisors’ understanding of DA and give rise to an efficiency-centric DA logic. This logic, in turn, as a high-level model of how to use DA in the context of FDD, governed DA use broadly.

The paper draws attention to direct and indirect links between accounting logic and commercial logic, on the one hand, and DA conceptions and use, on the other hand. It, thereby, advances prior theorization of DA use in accounting for decision-making.

Research on the impact of the engagement of online medical teams (OMTs) on patient evaluation, for example, satisfaction, remains insufficient. This study attempts to recognize the underlying mechanism of how OMTs’ engagement influences patient satisfaction by adopting social support as the mediator. This study also scrutinizes the moderating effects of the transactive memory system (TMS) on the link between OMTs’ engagement and social support.

We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5,000 samples was employed to test the mediation effect.

Our results reveal that OMTs’ engagement improves informational and emotional support, thereby promoting patient satisfaction. Specialization and credibility strengthen the impact of OMTs’ engagement on informational and emotional support. Simultaneously, coordination has an insignificant influence on the link between OMTs’ engagement and social support.

This study contributes to the literature on OMTs, social support, and TMS, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of online health communities and OMTs.

Considering mental health in organizations is crucial for several reasons, as it directly impacts the well-being and productivity of employees. This paper aims to delve into the role of the human resource (HR) department (HRD) in promoting mental health and mitigating associated organizational risks within emerging markets, with a specific focus on organizations in Jordan.

Using a qualitative research approach, 21 semistructured interviews were conducted with employees from diverse organizations and industries in Jordan.

The study’s findings illuminate a constrained role of HRD in supporting employees’ mental well-being, attributable to several factors: (i) a perceptual gap between the actual and desired roles of HRD in fostering mental health according to employees; (ii) institutional factors dictating initiatives for mental health support at work; and (iii) societal and cultural norms shaping attitudes toward mental health, both pre- and post-COVID-19.

This study contributes to the ongoing discourse on the intersection of HR practices and mental health support in the workplace in emerging markets, providing valuable insights for both academic and practical considerations. As organizations navigate the evolving landscape of employee well-being, this study’s findings offer a foundation for future research and the development of evidence-based strategies to enhance mental health support within organizational contexts and mitigate organizational risks.

This study illuminates the current landscape of human resources management development in fostering mental health at work in Jordan, serving as a foundation for future research agendas in the country and potentially the wider region.

The purpose of this paper is to explore the influence of employees’ job crafting on safety innovation performance through psychological empowerment and the moderation effects of employees’ mindfulness traits and job complexity on such impact.

This study conducted structure equation modeling to analyze data collected from 1,566 employees in 96 manufacturing enterprises in northern and central China.

Results showed that employees’ job crafting has a positive effect on safety innovation performance, partially through psychological empowerment, and that effect was moderated by employee mindfulness traits and job complexity.

Manufacturing enterprises should seek to promote employees’ job crafting behavior in the workplace, improve employees’ psychological empowerment and pay attention to mindfulness training for enterprise managers and employees, so as to reduce the probability of unsafe behavior.

This study reveals the underlying influence mechanism of employees’ job crafting on safety innovation performance using the self-determination theory and suggests that psychological empowerment is critical in determining how employees’ job crafting influences safety innovation performance. Furthermore, both employees’ mindfulness traits and job complexity positively moderate the above mediation.

In response to the COVID-19 pandemic, many employees had to switch to remote work. While some adjusted successfully to this transition, others have struggled. Leveraging information systems (IS) to adjust to major exogenous shocks is called digital resilience. The purpose of this paper is to understand what we can learn about employees' digital resilience from externally enforced transitions to remote work.

As digital resilience is challenging to measure, this study uses an embedded mixed methods approach. The authors conducted a qualitative analysis of 40 employees' statements on their remote work experience during the first six months of the pandemic and complemented these findings with scale-based digital resilience scores.

The authors find that employees' digital resilience largely depends on the amount of technical equipment and support they receive from their organizations as well as their ability and willingness to learn how to adequately use and communicate through information and communication technologies. Being self-disciplined and self-responsible positively affects digital resilience, while social isolation threatens it. Organizations can foster digital resilience building by encouraging digital networking, building a digital culture and netiquette, and treating digital resilience as a sociotechnical phenomenon.

This is one of the first empirical studies of digital resilience on a human level. It sheds light on the missing link between IS-enabled resilience and transitions to remote work. Specifically, it provides original insights into its development and manifestation in a remote work context during the COVID-19 pandemic. For researchers, it provides novel guidance on choosing appropriate measurement instruments to capture digital resilience.

Various employee engagement strategies are proposed to boost organisational performance and business prosperity. Interestingly scholars criticise that these strategies may not always work and mixed views are proposed, leaving a glaring knowledge gap. Drawing on the theories of high-performance-work-practices (HPWPs), this paper aims to conduct a qualitative study, aiming to explore how strategies affect employee engagement and analyse the underlying mechanism.

This paper gathers research data by interviewing five managers and 15 employees in the hospitality sector. It analyses data through thematic analysis and adopts “Abilities Motivation Opportunities” (AMO) model in improving the analytic rigour. Ethical practices are arranged throughout the project, including consent form, anonymity in participation, confidentiality in responses, freedom to withdraw and data protection.

Research findings have advanced employee engagement literatures in two ways. On the one hand, when managers recognise employees’ job ability and effort, employees support engagement strategies. On the other hand, however, if managers do not appreciate employees’ job ability and effort, engagement strategies may not necessarily work.

This paper suggests managers display a positive attitude towards subordinates, such as appreciating subordinates’ effort and showing trust and support, if they wish their engagement strategies maximise to the full potential, particularly when managers’ trust is perceived important by employees. Maintaining a healthy communication channel between managers and subordinates also benefits the employee engagement, working morale and overall performance.

To the best of the authors’ knowledge, the current research is the first in its kind, examining hotel employee engagement practice and its implications on performance management in the sector of Nigeria hospitality. Unlike prior studies which link HPWPs to performance directly, our research findings have clarified how HPWPs affect performance through the underlying factors. These are employee engagement and managers’ attitude towards employees.

This research aimed to visualize and analyze the co-word network and thematic clusters of the intellectual structure in the field of linked data during 1900–2021.

This applied research employed a descriptive and analytical method, scientometric indicators, co-word techniques, and social network analysis. VOSviewer, SPSS, Python programming, and UCINet software were used for data analysis and network structure visualization.

The top ranks of the Web of Science (WOS) subject categorization belonged to various fields of computer science. Besides, the USA was the most prolific country. The keyword ontology had the highest frequency of co-occurrence. Ontology and semantic were the most frequent co-word pairs. In terms of the network structure, nine major topic clusters were identified based on co-occurrence, and 29 thematic clusters were identified based on hierarchical clustering. Comparisons between the two clustering techniques indicated that three clusters, namely semantic bioinformatics, knowledge representation, and semantic tools were in common. The most mature and mainstream thematic clusters were natural language processing techniques to boost modeling and visualization, context-aware knowledge discovery, probabilistic latent semantic analysis (PLSA), semantic tools, latent semantic indexing, web ontology language (OWL) syntax, and ontology-based deep learning.

This study adopted various techniques such as co-word analysis, social network analysis network structure visualization, and hierarchical clustering to represent a suitable, visual, methodical, and comprehensive perspective into linked data.

This exploratory research aims to unravel how Chinese international students form their decisions regarding the school-to-work transition (sometimes also referred to as the university-to-work transition) when studying abroad.

The authors use the concepts of school-to-work transition and cultural approaches to investigate how Chinese graduate students make career decisions to navigate the school-to-work transition in the context of international mobility. The authors' empirical study is based on 30 semi-structured interviews conducted with Chinese graduate students studying in the Netherlands.

The authors discovered four patterns with two major subgroups among Chinese students studying in the universities in the Netherlands based on their initial intentions: return-return, open-return, open-stay and stay-stay. These patterns made sense when navigating the school-to-work transition: participants experienced varied international experiences, cultural perceptions and acknowledgment influences when enhancing employability and shaping their career decisions. Participants in the return-return and stay-stay groups indicated strong resilience and consistency in achieving their goals and strongly focused on long-term objectives. However, participants' open-return decision demonstrated a thoughtful alignment of personal goals and knowledge of the possible beneficial influence they may have in their home country. Open-stay participants utilized the overseas study opportunity to finalize their decisions and increase their employability in the local labor market, thereby creating a transition from university to work in the host country.

The authors highlight the way Chinese graduate students manage their international experience and provide novel insights into the role played by the cultural characteristics of their home country and host country.

Recently, mHealth apps for COVID-19 have emerged as a new research area due to the diverse efforts to control the COVID-19 epidemic. Although there are many bibliometric studies on mHealth and its applications, no bibliometric study sheds light on mHealth apps for COVID-19 as a new research area. To address the above-mentioned research gap, the current study conducts a bibliometric analysis of research in mHealth apps for COVID-19. It aims to provide a comprehensive overview of the new area and its directions.

The study uses a bibliometric approach to provide an analysis of the overall status of research in mHealth apps for COVID-19. The Scopus database provided by Elsevier was used to extract the analyzed data in this study. SciVal was used to perform the analyses, while VOSviewer was used for scientific mapping.

A total of 457 publications were published between 2020 and 2021 (until Tuesday, June 1) and cited 3,559 times. Publications were written by 2,375 authors, with an average of 5.20 authors per publication. Articles play a pivotal role in the literature on mHealth apps for COVID-19 in terms of production and impact. The research area of mHealth apps for COVID-19 is multidisciplinary. The United States made the largest contribution to this area, while the UK was the most influential. This study reveals the most productive and influential sources, institutions and authors. It also reveals the research hotspots and major thematic clusters in mHealth apps for COVID-19, highly cited publications and the international collaboration network.

mHealth apps for COVID-19 are gaining more and more importance due to their influential role in controlling the COVID-19 epidemic. Using bibliometric analysis, the study contributes to defining the knowledge structure of global research in mHealth apps for COVID-19 as a new, interdisciplinary area of research that has not previously been studied. Therefore, the study results and the comprehensive picture obtained about research in mHealth apps for COVID-19, especially at the level of Internet of Things (IoT) and artificial intelligence applications, make it an effective supplement to the expert evaluation in the field.