Information & Management最新文献

Online health information varies, as well as what people choose to consume and believe. Previous research finds that hesitancy to follow health advice is often due to suspicion about credibility. The elaboration likelihood model suggests credibility assessments use both argument quality and source credibility. One important facet for understanding how and why people cling to misinformation about health advice is uncovering what drives their credibility assessment in the first place. Yet, little research focuses on what peripheral cues influence source credibility in online health information. Our mixed-method study, which combines an online experiment and qualitative analysis, explores how source, tone, and format affect credibility perceptions in health contexts. The results confirm ELM relationships and indicate credibility increases when information is physician-authored and objectively presented. Our findings address a gap in the literature by exploring what influences a person's credibility assessment of online health information, offering insights that could inform the design of future online health resources.

Platform-based ecosystems dominate e-commerce, generating value through participant growth and resulting network effects. However, research has lacked any conceptualization of value creation in e-commerce ecosystems. This paper fills this gap by providing a theoretically grounded and empirically validated conceptualization of value creation and exchange, including roles, value creation activities, and value flows among participants. The model integrates insights from a systematic literature review and a multi-case study of ten leading e-commerce ecosystems. Furthermore, an extension to the e3-value notation is proposed by introducing ecosystem segments, allowing for a higher level of abstraction of meta-roles and individual ecosystem participants.

With rapid advances in artificial intelligence (AI), more employees are benefiting from or being replaced by AI. Nevertheless, we know little about the extent to which AI affects employees’ occupations positively. This study improves the methodologies for quantifying employees’ occupational AI benefits and risks. We propose three mechanisms by which AI may benefit employees’ careers: productivity-enhanced AI jobs, intelligence-augmented AI jobs, and AI-enabling jobs. We also conduct employee-level analyses regarding how employees’ skills, educational backgrounds, and demographics may correlate with occupational risk and AI benefits. Our results suggest that these key factors have distinct effects on different AI benefits.

Intelligent conversational agents (ICAs) are revolutionizing how humans interact with information systems. Designed to provide human-like service, ICAs are generally evaluated by users in comparison to their human counterparts, often resulting in less-than-expected user experiences. Our research investigates user acceptance of ICAs in this suboptimal condition of commercial customer service. Drawing from the dual perspectives of expectancy confirmation theory and task technology fit theory, we theorize and test an integrated research model on the collective impact of user expectancy confirmation regarding ICA capabilities and their assessment of service-ICA fit on user acceptance. Results from a field survey of 350 users of five ICAs deployed by major Canadian telecom service providers reveal the significant influence of both user expectancy confirmation with ICA capabilities and their assessment of ICA fit-to-service, with the latter playing a more prominent role in shaping user acceptance. Even though ICA performance may not always meet user expectations, users are still willing to engage with ICA services when they perceive the ICA as a fitting solution for their specific service complexity and availability requirements.

Information Systems (IS) research paradigms, models and findings are largely developed in the context of the United States and Western Europe and thus are largely applicable to the Western world and have limited relevance elsewhere. One area of IS research interest to both practitioners and academics is the elicitation of organizational/management issues related to the use of information technology (IT). The US-based Society for Information Management conducts an annual survey on these issues, but its findings are limited to the US. Given the current ethnocentric approach, the World IT Project, among other topics, examined the organizational IS issues in 37 countries and found that, as expected, the organizational IS issues varied widely from one organization to another and from one country to another. To better understand the nature of these issues and their driving factors, we have developed a multitiered theoretical framework to unravel these factors. This framework comprises three layers: an outer layer with three national-level factors, a middle layer with two macro-IT factors, and an inner layer with three organizational-level factors. Furthermore, 17 propositions are supported by the World IT Project data and secondary data. Such a framework has been long overdue and offers both practitioners and researchers value in understanding the global IS landscape.

Two leading digital entrepreneurial firms responded to a digital disruption differently. One adapted, whereas the other stagnated and eventually went bankrupt. In this inductive multi-case study, we strive to understand how they came to do so. Through constant comparison analysis between data, emerging theory, and existing literature, we develop a nuanced theoretical model suggesting that for entrepreneurial firms, having an abstract mission and pursuing diverse digital options actually constrain firms’ ability to respond to a digital disruption. But a specific mission and selective options enable adaptive agility. Overall, our emergent process theory highlights critically overlooked entrepreneurial firms, which are increasingly facing disruptions from powerful, established firms. Our emergent theory also prompts us to reconsider the conventional wisdom that digital options inherently enable agility.

The retention of audiences has become a pressing issue in the paradigm of livestreaming electronic commerce. Embracing the cognitive appraisal theory of emotions, this study develops a research model to gauge the relationship between emotion and audience retention. The results from 1,218,692 bullet comments from 491,348 users in 946 livestreaming sessions indicate that users’ valence and arousal affect retention positively, while the two dimensions of streamers’ emotions exert impacts in opposite directions. We further discover that intimacy has significant moderating effects in the research model. These findings emphasize the importance of understanding emotional dynamics in LSE in promoting audience retention.

With the prevalence of online healthcare communities (OHCs), increasingly more people are seeking health-related information in OHCs. However, the large amount of health-related knowledge of varying quality poses a challenge for people to quickly find truly helpful knowledge. This study proposes a framework for automatically identifying helpful health-related knowledge based on a knowledge adoption model and machine learning techniques. Extensive experiments on the dataset from one of China's largest OHCs have demonstrated the superiority of our framework. This study strengthens the understanding of readers’ value judgments of online health-related knowledge and enriches research in information systems and knowledge management.

This article investigates how a firm's supplier integration influences supply chain risk management (SCRM) practices and how these relationships are influenced by information technology (IT) agility and managerial ties. We further conduct fuzzy set qualitative comparative analysis (fsQCA) as a supplement. Matched survey data were collected from 148 firms in China, our results find that supplier integration influences both SCRM practices positively. Moreover, our results reveal that IT agility strengthens the effect of supplier integration on both supply chain robustness and resilience. Furthermore, business ties weaken the effect of supplier integration on supply chain resilience. In contrast, political ties weaken the effect of supplier integration on supply chain robustness, yet strengthen the effect of supplier integration on supply chain resilience. The results of fsQCA are largely consistent with our regression findings but also provide more interesting insights.

Drawing on the technology–organization–environment (TOE) framework, this article examines the influence of TOE factors on the success of digital transformation (DT) in manufacturing export small and medium-sized enterprises, and how these factors are configured to explain DT success. While PLS-SEM results show the individual effect of TOE factors, fsQCA results reveal five paths with different configurations for DT success. fsQCA results complement and extend the results of PLS-SEM analysis by showing that a condition can be present or absent depending on how it is combined with other factors. The combination of these two methodological approaches provides a more nuanced understanding of DT.