Information & Management最新文献

User participation and idea performance are essential for the success of open innovation communities (OICs) as valuable sources of innovation. Interaction within OICs plays a crucial role in the idea generation process. This study examines the relationship between user-to-user and user-to-firm interactions and their effect on the idea generation performance. Using a transactive memory system, a research model is proposed to explore the influences of user interaction characteristics (i.e., specialization, credibility, and coordination) on idea generation performance and the mediating effect of content richness. Furthermore, we reveal whether metadiscourse in firm feedback (i.e., interactive and interactional resources) moderates the association between interaction characteristics and idea generation performance. A dataset of 7,603 ideas from the Huawei's Joint Definition Community (JDC) is analyzed to verify the research model. Results show an inverted U-shaped relationship between specialization and idea generation performance. Coordination and credibility among users have positive effects on idea generation performance. Content richness has a mediating effect on the relationship between interaction characteristics and idea generation performance. Moreover, metadiscourse enhances the influences of specialization, credibility, and coordination on idea generation performance. These findings provide rich insights into idea generation performance in open innovation and offer practical implications.

This study explores the effects of online behavior toward associated co-visited products on purchasing focal products. The effects are proposed to be moderated by brands, online reviews, and consumer experience. Empirical findings show that different dimensions of online behavior play distinctive roles in purchasing focal products. Furthermore, associated co-visited products across different brands have a significantly high effect. The effect also increases for associated co-visited products with low rates of negative reviews and for consumers with limited experience. This study contributes to the literature by highlighting the effects of online behavior and presenting the related implications for encouraging customer purchases.

Mobile social media has become one of the most convenient, widespread ways for users to obtain health information. We construct a mobile social media health information quality evaluation system by conducting a questionnaire survey among 20 experts and 684 users. Then, 498 health WeChat official accounts were selected for empirical research. Results show that health information quality on WeChat official accounts is not high, which is positively correlated with the WeChat communication index, but the content value of health information is not correlated with the WeChat communication index. Our research has reference value for health information governance in mobile social media.

Work–home conflict (WHC) explains how IT use blurs the boundaries between work and private roles. We extend that knowledge by highlighting the importance of work–home embeddedness (WHE) and its impact on WHC. Drawing on boundary theory, we hypothesize that IT-induced work–home boundary reduction (IT-WHBR) exacerbates WHC, influencing job outcomes. Utilizing embeddedness theory and data from 862 individuals, we categorize three distinct WHE groups. Our findings clarify how IT-WHBR shapes WHC and how diverse WHE groups moderate the relationship between IT-WHBR, WHC, and job outcomes. This paper significantly contributes to existing literature by revealing dynamics within work-home interactions.

A well-designed dashboard can effectively communicate critical information to network administrators and enable them to identify and solve network issues quickly. However, little is understood about how network-monitoring dashboard designs impact user experience in an augmented virtuality (AV) environment. Our study proposes that a dashboard design showing variations in selected elements can impact the network-monitoring flow experience of users by affecting their enjoyment, concentration, and control, which in turn can influence their performance in critical, complex, and time-sensitive environments. To investigate this phenomenon, we design and evaluate two narrative visualization user interfaces—a designer-driven (DD) design and a user-driven (UD) design—in the context of network-monitoring dashboards. Adding vivid and familiar real-world objects may enhance perceived realism; thus, we integrate AV with the two dashboard designs (i.e., DD and UD) and evaluate their effect on user flow experience and performance. Results suggest that the flow experience of users will lead to positive perceived performance. A nonlinear relationship between AV and dashboard design, and the UD design with a moderate AV level can improve user flow experience and performance compared with the DD design. When the AV level is nonexistent or excessive, the superior effect of the UD design disappears. Lastly, we discuss practical implications and theoretical contributions, along with future research directions.

Based on the push-pull-mooring framework, this study applies mixed methods to examine the key factors affecting seniors’ switching from offline to m-government services. A qualitative study was conducted to identify five factors of the push-pull-mooring framework, and a subsequent quantitative study used a hybrid SEM-ANN method to analyze data from 345 senior Chinese users. Results showed that transparency greatly impacts seniors’ satisfaction with m-government services. Perceived inefficiency significantly affects dissatisfaction with offline services, and inertia increases switching costs. However, perceived government investment does not significantly affect seniors’ satisfaction with m-government services. An urban-rural comparison yielded additional findings.

This study offers a nuanced understanding of health information dissemination based on the Intellectual Epidemic model within online social networks. We highlight the importance of healthcare providers’ subnetworks and the strategic application of fear and hope in health messages. Factors like interest-based communities and their distinct reactions to different types of information play critical roles. We discovered information within online communities tends to remain trapped, illustrating a drawback of homophily. Our insights not only illuminate the distinctive properties of online information dissemination but also furnish valuable implications for health communication strategies in a digitally networked era.

The successful implementation of Enterprise Resource Planning (ERP) systems is significantly predicated on establishing customer trust, a challenge particularly accentuated in mainland China due to its distinct business and legal environment and a noted high failure rate of ERP projects. Whereas contracts and transaction-specific investments are common strategies to build this trust, their effectiveness remains contested in the existing literature. Specifically, the underlying mechanisms through which detailed contracts influence trust are still not clearly understood. To address these gaps, our study employs signaling theory to conceptualize a model that elucidates how contract completeness, vendor contract compliance, and transaction-specific investment act as trust-building signals in ERP vendor–vendee relationships within the Chinese context. Furthermore, we introduce ownership type as an additional variable, evaluating its influence in shaping customer trust. Our empirical analysis draws on data from 208 Chinese organizations engaged in ERP implementations, revealing nuanced findings. Notably, the vendor's ownership type, quantified by the degree of foreign ownership, negatively moderates both the results of contract completeness on contract compliance and the subsequent mediation effect on trust, thereby highlighting the critical influence of cultural factors. This study is among the pioneering empirical investigations into the synergistic roles of contract compliance and ownership type in mediating the relationship between contract completeness and trust. Our insights provide a robust foundation for understanding the complexities of contractual and relational governance in ERP vendor–vendee relationships, and we recommend targeted strategies for both vendors and customers to enhance trust in this critical business domain.

Despite the importance of artificial intelligence (AI) in improving environmental performance, the mechanisms and boundary conditions through AI use affects environmental performance remain unclear. Using a sample of Chinese agricultural firms, the empirical results verify the positive impact of AI use on environmental performance via green innovation of product and process. Moreover, our findings reveal that green culture positively moderates the impact of AI use on green product innovation, and it strengthens the positive mediation effect of green product innovation on the relationship between AI use and environmental performance. This study provides insights and enriches the existing understanding of AI-enable green innovation, thus making practical implications for firms to achieve sustainable development.

Unjust algorithmic recommendations can lead decision makers to discriminatory choices, risking harm to individuals or groups. This study addresses this concerning phenomenon and examines its implications. In an experimental study involving 122 managers, we found that algorithmic injustice causes discriminatory decisions without heightened guilt perception. Additionally, trust in data analytics outcomes moderates the impact of algorithmic injustice on discrimination and marginally influences the impact of discriminatory decision making on guilt perception. However, displacement of responsibility has no moderating effect on either relationship. These findings highlight the potential negative consequences of algorithmic decision making, emphasizing the need for caution and awareness.