Information & Management最新文献

The advent of social media platforms has made cyberbullying a growing concern. Current studies primarily investigate singular individual-level or environmental-level factors, yet cyberbullying is a multifaceted phenomenon that cannot be fully understood through single-dimensional perspectives. In this research, we draw on situational action theory (SAT) to explore how cyberbullying develops on social media by examining the synergistic effect of individual propensity and criminogenic exposure. Our empirical results reveal that individuals’ cyberbullying behavior is predominantly influenced by previous habits and exposure to the cyberbullying behavior of important others. Furthermore, individuals tend to employ neutralization techniques to rationalize their cyberbullying behaviors.

Although technological developments have made AI chatbot teaching assistants a lived reality, limited insights exist indicating how students perceive and use these new technologies. Recognizing that technology usage research adopts a static view that overlooks the role of temporal distance, we draw on temporal construal theory to examine user intentions and actual usage behavior over time by re-approaching the same set of participants after developing and deploying an AI chatbot in the educational setting. Our results highlight the significance of temporal distance in shaping user perceptions of the technology, with the need for interaction level to play a moderating role.

This study examines the impact of emotional bias on entrepreneurial decisions in crowdfunding platforms, specifically considering the impact of mass shootings as exogenous emotional shocks. Using data from a leading crowdfunding platform, Kickstarter, paired with US mass shooting incidents, we apply a difference-in-differences approach. Our analysis shows that entrepreneurs in cities proximate to a mass shooting tend to adjust their fundraising targets downward. This adjustment subsequently increases the likelihood of campaign success, a trend that is even more pronounced for projects tied to the geographic location of the mass shooting incident. Our findings not only attest to the profound influence of emotions in crowdfunding decisions, but also unveil the nuanced, varying effects based on geographic relevance. This research underscores the importance of understanding and addressing such biases to bolster crowdfunding platform efficiency and to support the consistent success of crowdfunded enterprises.

While digital technologies have undoubtedly enhanced the quality of life for individuals with visual impairment, their influence on social justice remains underexplored. Drawing upon intergroup contact theory, this study employs a mixed-methods approach, utilizing both surveys and interviews, to examine the impact of real-time volunteer apps on social justice from the perspectives of both visually impaired people (VIP) and non-impaired people (NIP). Our results reveal unintended adverse effects associated with the use of real-time volunteer apps. Despite enhancing perceived social connection, these apps paradoxically increase VIP's prejudice vulnerability, which is potentially attributed to the social contrast effect. Meanwhile, app usage increases NIP's stereotyping and reduces their social acceptance of VIP groups, as these apps fail to create equal status contact between NIP and VIP. This research illuminates the complex dynamics of how information technology (IT) affects social justice for VIP and highlights the overlooked downside of IT. It advances our understanding of intergroup contact theory by providing empirical evidence on contact effects when equal status conditions are lacking and serves as a reminder to app designers and developers of the crucial role of social influence in app design, particularly in the development of apps intended for minority groups.

Natural disasters arouse threats of health and economic damage, altering consumer behavior in both the short term and the long term. By adapting coping theory to health and economic threats, this study examines the heterogeneous impacts of epidemic disasters, in the COVID-19 pandemic context, on online consumer demand by product type and their dynamics after stabilization. Our results show that the local epidemic outbreak initially increased (decreased) the online demand for essential (discretionary) goods, but the increased purchasing of essential goods diminished as the associated risks were alleviated, whereas the decreased demand for discretionary goods persisted. Additional analyses reveal that engaging more with online consumers during disastrous periods helps retain a specific type of consumer even after stabilization. Our findings highlight the role of threats as psychological drivers in changing online demand, providing managerial implications for online retailers on how to convert threat-driven consumers into regular customers afterward.

Mobile health applications (MHAs) have been widely used by community health workers (CHWs) in primary care to facilitate their workflow, but the continuance of these applications by CHWs remains inadequate. This article employs expectation confirmation theory as the overarching theory, complemented by the information system success model and the consumer expectations model, to propose a research model aimed at examining the factors influencing CHWs’ MHA continuance. To validate this research model, a survey was conducted involving 459 CHWs who used MHAs. The analysis results confirm many hypothetical relationships within the research model. First, we propose an extended expectation confirmation model remedying deficiency of the expectation confirmation theory. Second, this study uncovers an inverted U-shaped relationship between CHWs’ expectations and expectation confirmation. Third, we study continuance from a novel perspective – that of CHWs. Fourth, we reveal one boundary condition of our research model by considering the moderating role of health institution type. In addition, practical implications for both policymakers in healthcare systems and MHA providers are delivered.

Information systems development is a complex, knowledge-intensive process. Companies struggle with achieving IS development goals of delivering information systems within time, on budget, and with promised functionalities. This paper suggests that to achieve these goals, IS development teams need to cultivate a climate of collective ownership in the team. We collect qualitative data and use a multimethod approach combining multi-case study and grounded theory techniques to understand the collective ownership concept in the context of agile software development. We find that collective ownership in IS development varies from the standard conceptualization found in the literature. Collective ownership is manifested as more of a balanced, collaborative approach where the original developer is involved throughout the process and is empowered through inclusion in the process of change. We find that overall, individual ownership helps collective ownership but, in some scenarios, it may also impede ownership at the collective level. We also find that there is a reciprocal relationship between collective ownership and collaboration, and that perceived control and a shared understanding of the tasks also help develop ownership at the collective level.

This paper introduces a novel theoretical lens of pseudo-community trust and studies its effect on member disclosure on social networking sites (SNSs). We collect survey data from 229 SNS users and validate the research model using the structural equation modeling method. Findings indicate the effect of pseudo-community trust in promoting member self-disclosure and reveal the contingency of its effect. Moreover, our findings report important antecedents to pseudo-community trust and evidence their indirect effects on member self-disclosure through pseudo-community as a mediator. This research contributes to the trust literature and self-disclosure literature on SNSs.

This study explores the role of design affordance of social display features in mobile social e-commerce with recommendations. Building upon the intersection of signaling theory and construal level theory, we address two paradoxes regarding social and temporal cues in recommending (close social distance vs. limited feedback and recency vs. magnitude). The results from four experiments indicate that friend-based feedback induces larger purchases than crowd-based feedback. Temporal distance moderates this relationship. Specifically, when temporal cues indicate proximal distance, recommendations from friends (by showing their feedback) are more persuasive than those from crowds. Conversely, the opposite occurs at further temporal distance.