Information & Management最新文献

The execution of augmented reality (AR) has become a new method for companies to create a favorable shopping experience. This study investigates consumer-based brand equity (CBBE) in the mobile AR context, especially regarding high- vs. low-innovativeness consumers. We identify three key attributes to signify AR's embedding and embodiment experience—perceived augmentation, simulated physical control, and response time—and confirm their positive influences on overall brand equity through cognitive, affective, and sensory brand association dimensions. The findings also demonstrate that consumer innovativeness moderates the influences of these AR attributes on brand associations. The study provides valuable implications for researchers and managers.

This study investigates the impact of cryptocurrency rewards and token prices on user-generated content (UGC) provision by content creators on a blockchain-based platform. Analyzing data from the Steemit platform, we find that although an increase in total reward value incentivizes UGC contributions, the rise in token prices alone does not lead to a surge in UGC. Instead, token prices have a mediating role in the relationship between total rewards earned by content creators and the volume of UGC they produce. Furthermore, we observe that an increase in UGC does not lead to a corresponding rise in the platform's market capitalization, as increased website traffic intensifies competition for rewards from a constant pool, suggesting that heightened user engagement does not translate to enhanced market capitalization. These findings imply that carefully designed reward mechanisms are crucial for sustaining user engagement and content creation amidst market fluctuations. Our study underscores the importance of a comprehensive approach to incentivizing user participation and ensuring platform growth, as a mere increase in token prices may not guarantee sustained engagement or an associated increase in market capitalization.

Extensive efforts have been made by both academics and practitioners to understand the inter-firm competitive relationship owing to its profound impacts on multiple key business goals, e.g., company benchmarking, marketing strategy planning, and talent acquisition. However, it has never been an easy task to fully characterize firms and assess the competitive relationship among them, mainly due to the challenge of information heterogeneity. In this regard, we propose a novel IT artifact for firm profiling and inter-firm competition assessment guided by Information System Design Theory (ISDT). We start by constructing a Heterogeneous Occupation Network (HON) using employees’ occupation details and educational attainments. Then we adopt a Metapath2vec-based heterogeneous network embedding model to learn firms latent profiles (embeddings). Using the firm features and embeddings as input, we train multiple supervised classifiers to assess the competitive relationship among the firms. Following the principles of design as a search process, we demonstrate the effectiveness of our IT artifact through extensive experimental studies and detailed discussions. Our research has also discovered that the occupation and education specifics of employees are key factors in identifying potential competitors of a focal firm.

The professional social networks of physicians are an essential source of health-related user-generated content and online social capital. Yet limited research has examined how social networks of physicians emerge at the level of relationships between physicians. To help fill this gap, this study investigates the formation of followship between physicians (i.e., when one physician follows another) from the perspectives of network structures, actor attributes, and external contextual factors. Using exponential random graph models and strategic network formation models, this study analyzes the effects of reciprocity and transitive closure, physicians’ social media and online healthcare community (OHC) engagement, and physicians’ interaction networks. The results reveal that physicians’ professional social networks have a reciprocated and open structure. Physicians’ social media connectivity and content, online service performance, professional capital, and social identity homophily facilitate the formation of professional social networks. In addition, the interaction networks have an entrainment effect on professional social networks. This study reveals the mechanism of social processes, including reciprocity, preferential attachment, and homophily, in the formation of social networks. The results also extend social cognitive theory and signaling theory into the context of physicians’ professional social networks.

During public health crises, people's self-efficacy determines their mental and physical health. However, little is known about the influence of digital technology on self-efficacy in response to public health crises. To better understand these effects, we conducted a mixed methods study based on Chinese digital technology users; we interviewed 17 and surveyed 607 users. The results indicated that the digital affordances of information sharing, knowledge sharing, and socializing can increase people's perceived social support, which enhances their self-efficacy in terms of their health and general life. Additionally, risk perception moderates the influence of social support on self-efficacy.

Governments realize a significant gap exists between existing efforts in customer experience and citizen expectations for implementing a digital platform in e-government (DPEG), hindering citizens’ continuance intention. This study proposes a novel initiative called gamification-enabled customer experience. Based on the motivational lens, we develop and test a conceptual research model. We find that gamification-enabled customer experience positively impacts intrinsic and extrinsic motivations and continuance intention towards DPEG. Our results enrich IS research on digital platforms, customer experience, types of motivation, and behavior. We also offer practical guidelines for implementing a DPEG to execute gamified customer experience strategies.

Contemporary digital work practices increasingly necessitate prompt responses by employees to work-related communication. The impact of employees’ response behavior to work communication (RBWC) on collaborative performance remains underexplored. To address this gap, we propose a theoretical model integrating the theories of person-environment fit, social support, and conservation of resources. RBWC is conceptualized as the degree of communication response (in)congruence, representing the (mis)fit between rapid response expectations and the employee's ability to respond rapidly. We investigate the diverse effects of various states of response congruence on collaborative performance, mediated by the social connectivity paradox manifested as social support and social overload, while grounding this work on social support theory. The results from surveying 268 professionals and employing polynomial regression and surface response analysis demonstrate that different response congruence states significantly influence the social connectivity paradox and subsequently impact collaborative performance. Social support mediates the relationship between response congruence and collaborative performance, while social overload mediates the linear association between response ability and collaborative performance. Theoretical and practical implications are discussed.

The risk of malicious deep synthesis lurks in hedonic applications, yet people tend to be ethically tolerant, leaving governance in a quandary. This study explores the reason for this from the perspective of moral judgment and finds that hedonic applications reduce people's sensitivity to ethical norms. We then explore the mechanism of the governance measure labels, using moral sensitivity as a moderating variable, and find that people with low moral sensitivity are immune. Finally, we propose and validate the inclusion of message framing as an enhancement. This study explains the governance dilemma from a moral-psychological perspective and provides practical governance improvements.

Data governance is recognised as a new capability for organisations to maximize the value of data. Process mining is essential for the resilient growth of businesses, making process data a strategic asset for organisations. Even though the availability of reliable process data is vital for obtaining dependable insights into process mining techniques, there exists no framework that explains how to govern process data holistically. We address this gap by presenting the first data governance framework for process mining that was derived from a Delphi study conducted with a panel of academics and practitioners from around the world. The framework provides multiple avenues for future research.

This paper investigates the association between retail investors’ online activity and the pricing of initial public offerings (IPOs). We utilize data from Google Trends and StockTwits to analyze price revision for 901 U.S. IPOs, and find that the online search count, social media post count, and post sentiment are positively associated with IPO pricing. One-standard-deviation increases in these variables correspond to price revision increases of 9.02 %, 50.73 %, and 70.22 %, respectively. Additionally, online search plays a more significant role in influencing IPO price revision when social media discussions about a specific IPO exhibit higher sentiment inequality among participants.