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This study aims to examine whether employees perceive career development resources the same and to identify which factors affect these perceptions differently, considering their employment type within small- and medium-sized enterprises in South Korea.

This study used a quantitative methodology to explore the differential perceptions of the relationship between organizational support practices, person–job fit and employee attitudes. The authors used a sample of 1,560 employees comparing the responses of Generation Z employees across employment type.

This study delved into organizational factors such as the support system and fairness in performance appraisal, alongside individual factors like person–job fit according to employment type. It enabled to ascertain the relative significance of these factors in shaping employees’ views on career development.

This study enriches the discussion on the specific career development traits of this demographic. This study also discusses theoretical and practical implications for human resource development, emphasizing strategic interventions that enable employees to actively manage their careers and foster a positive work environment.

This study discusses the sources of value co-creation and its effects on businesses using social platforms such as Facebook, Instagram, Twitter and blogs.

A total of 301 survey responses were selected. The selected respondents indicated that they lived in South Korea, had an occupation as a private business or marketer and had used a social platform one or more times a day. The hypotheses were tested using a structural equation model.

The study reveals that the source of sustainable value co-creation between social platforms and businesses positively affects the competitive advantage of maintaining businesses. This advantage reveals an integrated relationship that leads to the successful financial performance of businesses through online word of mouth and customer satisfaction. Moreover, this study finds that the relationship between variables differs by social platform types (unidirectional vs bidirectional service).

The results of this study explain the relationship between value co-production, value-in-use, SCA and long-term performance. However, this study focused on private business and marketing staff working in companies in South Korea. Accordingly, more countries in which social platforms are widely utilized should be taken into account to help generalize the empirical findings.

There is a difference in the relationship between co-creation activity and cost advantage/long-term performance in accordance with the service type of a social platform. The results indicate that a bidirectional service is a more powerful tool for cost advantage and long-term performance.

This study focuses on the role of value co-creation in social platforms to ensure companies’ sustainable competitive advantage and performance. The results of this study will help companies develop online marketing strategies using social platforms.

This systematic review aims to comprehensively explore the existing literature on the use of corporate communication within the realm of social media.

A total of 136 peer-reviewed journal articles are explored and analysed using both performance and bibliometric analysis.

This review identifies five main findings: (1) trends in corporate social media research that highlight the growth trajectory of research on social media use for corporate disclosure, (2) geographical coverage of studies indicating the concentration of research in certain regions, such as the USA, followed by China and the UK, with notable gaps in others, such as developing countries, (3) theoretical frameworks employed demonstrate that various theoretical frameworks are utilized, although a significant portion of the studies do not specify any theoretical underpinning, (4) social media platforms studied, confirming Twitter to be the most studied channel followed by Facebook and (5) thematic analysis of articles on disclosure type that categorized the articles using bibliometric analysis into five themes of disclosure: general disclosure, corporate social responsibility-related information, financial information, CEO announcements and strategic news communication. A subsequent cross-theme analysis classifies disclosure determinants and consequences of corporate social media usage.

Through a comprehensive and systematic analysis of existing research, this review offers novel insights into the current state of corporate communication on social media. It consolidates current knowledge, highlights under-explored areas in the existing literature and proposes new directions and potential avenues for future research.

The purpose of the study was to investigate the effects of artificial intelligence (A.I.) awareness, advertisement models and source-message incongruence on consumer evaluations of A.I.-generated advertisements. It explores how these factors interact in shaping consumer perceptions and advertising effectiveness.

A 2 (source-message (in)congruence: incongruent vs. congruent) x 3 (A.I. awareness: unawareness, pre-advertisement, post-advertisement) x 3 (advertisement model: traditional human, virtual human, digital twin) between-subjects design was employed in this study. Using stratified random sampling, a total of 231 undergraduate students were recruited from course groups and randomly assigned to one of nine experimental treatments, each involving the viewing of a specific A.I.-generated advertisement followed by a survey. Data were analyzed using two-way ANCOVA and regression analyses, controlling for participants' involvement in sports and brand.

The results indicated that A.I. awareness timing, advertisement model types and source-message incongruence significantly affected consumer evaluations of advertisements. A.I. awareness generally had a positive impact on evaluations, with the most favorable outcomes when awareness of the A.I.-generated nature occurred after viewing the advertisement. Virtual human models were rated the lowest, while digital twin and traditional human models received similarly positive evaluations. Source-message incongruence negatively influenced evaluations. An interaction effect was observed between A.I. awareness timing and advertisement model types under high source-message incongruence, where virtual human models showed the highest effectiveness when A.I. awareness occurred after viewing.

Given that sports are characterized by the transcendence of human limitations and the emphasis on physical and emotional challenges – elements that A.I. cannot replicate – it is essential to examine how sports consumers perceive A.I., which, despite offering efficiency and personalization advantages, contrasts with the fundamentally human nature of athletic performance. This research contributes to the literature on A.I.-generated advertising by uniquely investigating the interaction between A.I. awareness timing and advertisement model types within the context of source-message incongruence. It offers critical insights for practitioners and researchers on strategically timing A.I.-generated ad disclosures and selecting appropriate advertisement models to optimize their effectiveness. By addressing these underexplored variables, the study enhances understanding of consumer perceptions and provides a foundation for more effective A.I. integration in advertising practices.

Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.

We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.

Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.

Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.

The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.

A total of 478 Americans participated in an online survey. Each participant was asked to answer questions about a company randomly assigned from one of 36 companies representing six industries.

This study aims to explain how corporate social responsibility (CSR) and negative corporate ability (CA) associations lead to negative word-of-mouth (WOM) intentions in non-crisis situations. Specifically, this study investigates the mediating roles of revenge and avoidance motives in the relationship between negative CSR and CA associations and the intention to generate negative WOM.

The findings indicate that negative CSR associations have a greater effect on WOM than negative CA associations. Moreover, negative CSR associations stimulate the revenge motive, resulting in stronger intentions to spread negative information, while negative CA associations lead to the avoidance motive, resulting in weaker intentions to spread negative information.

Unlike most previous studies that focused on crises, this study examines how negative CA and CSR associations influence negative WOM in non-crisis situations, shedding light on the roles of motives including the revenge and avoidance. The research fills a gap in the existing literature by demonstrating that negative CSR associations have a greater impact on negative WOM intentions than negative CA associations in non-crisis situations.

This study aims to explore the alignment between platform cooperatives (co-ops) and cooperative principles, with a focus on worker co-op activists’ perceptions and the challenges faced by domestic service co-ops in South Korea.

A multiple-case study approach was used to examine two major worker co-ops in South Korea’s domestic service sector: the National House Managers’ Association (NHMA) and Life Magic Care Co-op (LMCC).

This study reveals contrasting perspectives between NHMA and LMCC on integrating platform co-ops with cooperative principles. While NHMA raises concerns about deteriorating working conditions and a diminished sense of community, LMCC’s experience suggests that a well-designed, worker-owned platform can address these issues. However, NHMA’s concerns about the loss of a sense of community and funding challenges remain valid in LMCC’s experience, raising fundamental questions about the cohesion of platform co-ops in maintaining cooperative values. Establishing a sustainable funding mechanism, especially for platform maintenance and marketing, is crucial. Co-op communities must recognize the challenges platform co-ops face in balancing scalability with active member participation and community cohesion and develop strategies to address these issues before launching platform co-ops.

This study highlights the unique challenges of implementing platform technology in domestic worker co-ops and emphasizes the need for innovative strategies to ensure alignment with cooperative values. The research provides key insights for co-ops considering platform adoption, especially in sectors where trust and personal relationships are vital.

People have utilized artificial intelligence (AI) reading assistants for study. This tool assists readers in summarizing the content of a book. However, the crucial factor in summarizing book content lies in the quality of the content by generative AI, as this quality affects readers’ willingness to use AI tools as reading aids. This study expands the acceptance architecture for artificially intelligent device use (AIDUA), integrates the concept of generative AI quality and proposes a new model for users’ continuous use of generative AI reading assistants.

This study employed a quantitative approach. A total of 362 respondents were from Taiwan. This study used partial least squares structural equation modeling (PLS-SEM) to validate, aiming to identify factors influencing users’ continued adoption of AI reading assistants.

The results show that the quality of AI-generated content and readability significantly influence users’ performance expectations and effort expectancy. However, credibility and representationalness have different effects, impacting effort expectancy but not performance expectancy. These findings underscore the critical role of generative AI quality in shaping user expectations and their continued use of AI reading assistants.

This research is of great significance in examining the quality of generative AI. It establishes a theoretical framework applicable to future research, enabling industry players to understand better the pivotal role of generative AI quality in the operation of information services. And focus on using AI reading assistants, describing the specific use of AI for specific tasks.

Increasing workforce diversity requires leadership to ensure employees retain their well-being. This study aims to examine how employees’ and managers’ co-creation of diversity in the workplace influences positive leadership (PL) style, which in turn affects employee well-being (EWB) positively.

Employees and managers of Australian businesses participated in a cross-sectional survey. EWB was regressed on PL style and diversity dimensions (DDs). Also, the mediation effect of PL style between DDs and EWB was tested.

Results suggest that Australian organisations appear to have more employee diversity with its partial impact on managers’ PL style, which then positively affects on employee well-being (EWB). Furthermore, the PL style partially mediated the relationship between DDs and EWB.

Managers will better understand workplace diversities and the key role that PL style can play in enhancing EWB.

This study will help improve employees' and managers' personal and social lives by developing a better understanding of health and well-being. It will have further economic impacts, such as higher organisational productivity.

This study fills the gap in the literature where PL style will positively affect EWB. Investigating the relationship between DDs, PL style and EWB using PERMA-profiler is a unique contribution.