The rapid development of artificial intelligence (AI) has brought many opportunities and challenges to organization. Some studies have shown that AI can improve organizational creativity. However, the existing research lacks an effective transformation path. This paper makes an innovative approach from the perspective of knowledge sharing, establishes an integration model of artificial intelligence capability, knowledge sharing and organizational creativity. Based on 189 questionnaire data, we use multi-level regression analysis and bootstrap method to analyze the influence mechanism. The results show that artificial intelligence has a positive effect on knowledge sharing, knowledge sharing has a positive effect on organizational creativity, knowledge sharing mediates the relationship between artificial intelligence and organizational creativity, and organizational cohesion has a positive moderating effect on the relationship between artificial intelligence and knowledge sharing. The results supplement the existing research on the relationship between artificial intelligence capability and organizational creativity, expand the theoretical boundary and application space from the perspective of knowledge sharing at the organizational level, and provide reference for organizations to improve creativity.

This study explored the relationship between occupational health risk perception and job satisfaction. Based on the job demand-resources model and resource conservation theory, eight hypotheses were proposed in this study. In a survey of 237 production line workers and managers, we found that perceived occupational health risks significantly negatively affected job satisfaction. Both work stress and organizational commitment mediate the relationships between perceived occupational health risks and job satisfaction. We also examined whether safety culture could weaken the negative impact of perceived occupational health risks on job satisfaction. However, the results of our study did not support this hypothesis. This study not only helped managers to realize the hazards of occupational health risks, but also encouraged employees to actively participate in safety construction and pay attention to their own health. In addition, we also put forward some targeted intervention measures to reduce the negative impact of perceived occupational health risks on job satisfaction. Therefore, this study had certain practical implications.

This paper systematically analyses the research on enterprise knowledge management and digital technology. We used VOSviewer to carry out topic cluster analysis and found that current research can be divided into four topics: digital technology and customer knowledge management; application dilemma and problems of digital technology in knowledge management; digital transformation of organizational knowledge management; and the influence of digital technology on knowledge management. In addition, we summarize the application research framework of digital technology in enterprise knowledge management, including antecedents, results and impact paths.

Healthcare industry is strongly influenced by new digital technologies. In this context, this study creates a framework and explores determinants of the intention to use smart healthcare devices. Several factors were identified, including usefulness, convenience, novelty, price, technological complexity, and perceived privacy risks of smart devices. Based on the samples from China, we find that usefulness, convenience, and novelty have positive influences on the intention to use smart healthcare devices. However, technological complexity is negatively related to the intention to use smart devices. The results further extend previous researches in the area of the healthcare industry.

Purpose: The rapid advancement of digital technology has precipitated a paradigmatic shift in organizational knowledge management, giving rise to the construct of knowledge digitization (KD). Grounded in spillover theory and the knowledge-based view, this study aims to investigate whether and how customer KD generates spillovers for upstream suppliers, as well as the transmission mechanisms and boundary conditions governing this relationship. Design/methodology/approach: The study draws on A-share listed companies on the Shanghai and Shenzhen stock exchanges over the period 2009–2023, yielding a final sample of 1,867 annual supplier–customer dyadic observations. Hypotheses are tested using a two-way fixed effects panel data model. Findings: The results demonstrate that customer KD exerts a significant positive spillover effect on supplier total factor productivity (TFP) and that this effect is mediated by knowledge transfer (KT) and knowledge co-creation (KC) between the customer and supplier. Moreover, knowledge distance (DS) exerts a positive U-shaped moderating effect for this effect. Heterogeneity analyses show that the spillover effect is more pronounced among state-owned and large-scale suppliers. Originality/value: This study extends spillover theory into the domain of digital knowledge by demonstrating that customer KD restructures the supply chain knowledge flow regime. It advances KD research from an intra-organizational to an inter-organizational level of analysis, identifies a dual-channel mediation mechanism that distinguishes unidirectional transfer from bilateral co-creation and theorizes a U-shaped boundary condition that reframes DS from a uniform barrier into a new moderator whose effect is overcome by KD’s distinctive properties.