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This study aims to examine how job satisfaction (JS) affects two types of knowledge sharing (KS), in-role KS and extra-role KS. It also investigates the mediating effect of knowledge sharing self-efficacy (KSSE) and the moderating effect of team collaborative culture (TCC) between JS and two types of KS.

This study applies attribution theory to develop a cross-level model and validate it through paired data collected from 322 information technology professionals nested within 80 teams. Hierarchical linear modeling is used to test the hypotheses.

JS positively influences in-role and extra-role KS via KSSE and TCC positively moderates the relationship between JS and extra-role KS.

This study is one of the first to investigate the mechanism underlying the influence of JS on two types of KS. It also identifies the mediating and moderating effects of this mechanism.

The purpose of this paper is to examine how team social media usage (SMU) affects two types of knowledge sharing (KS), namely, in-role and extra-role KS, and then individual job performance. The study also examines the mediating effects of two types of KS and the main and moderating effects of team performance norms on individual job performance.

This study applies the theory of communication visibility to develop a cross-level model and then validate it through a three-wave survey from 600 individuals in 120 teams. Hierarchical linear model is used to test the hypotheses.

The results suggest that team SMU improves team members’ in-role and extra-role KS, and thus enhances their individual job performance. The in-role and extra-role KS have partial mediating effects between team SMU and job performance. The results also show that team performance norms have a positive main effect on individual job performance, but negatively moderate the relationship between individual extra-role KS and job performance.

This study contributes to the operations management literature by examining the effects of team SMU from a multilevel perspective.

The findings provide managers with ways to improve individual KS and job performance.

This study is one of the first to investigate the effects of team SMU on individual KS and job performance. It also identifies the two-sided effects of team performance norms.

This study aims to examine the mechanisms underlying social media commerce by investigating the interplay between platforms, people and information. Drawing upon trust transfer theory, the research model proposes that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing, ultimately influencing purchase intention.

The research design used in this study was a quantitative approach using a cross-sectional survey method. The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses.

The findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention.

The limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field.

The findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape.

The social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. These insights provide valuable guidance for practitioners to navigate the competitive landscape of social media commerce and enhance their chances of success.

The originality of this research lies in its application of trust transfer theory to investigate the mechanisms driving social media commerce. By examining the interplay between platform, people and information, the study specifically focuses on the role of the platform’s information provision in enhancing information credibility and its impact on information-related responses and purchase intentions. This study extends the understanding of the trust transfer mechanism between customers and sellers/brands in customer-to-customer social commerce by emphasizing the importance of effective messaging and information credibility in shaping consumer behavior. The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.

The purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).

The conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.

The authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.

This study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

This study aims to investigate the impact of cross-functional coordination (cross-functional system, process and team coordination) on customer coordination (customer strategic and operational coordination) and operational performance. Following the lens of information processing theory (IPT), this study examines the diverse mechanisms of cross-functional coordination practices in enhancing firms’ information processing capabilities (IPCs) to cope with the higher information processing demands resulting from customer coordination, finally improving operational performance.

Based on data collected from 410 Chinese manufacturers, the authors use the structural equation modeling method to test the theoretical model.

The authors found that cross-functional system coordination is positively associated with customer operational coordination (COC) but not customer strategic coordination (CSC). Cross-functional process coordination increases both customer strategic and operational coordination. Cross-functional team coordination significantly promotes CSC but not COC. Both customer operational and strategic coordination facilitate operational performance.

This research pioneers in identifying three dimensions of cross-functional coordination based on IPT and examine their distinct impacts on various customer coordination activities. The authors distinguish two customer coordination dimensions and reveal their effects on operational performance. This research contributes to the development of IPT. Additionally, this study provides guidelines for managers to coordinate internal departments and collaborate with external customers to enhance firms’ operational performance.