Reporting systems are gradually gaining attention as a mechanism for users to engage in platform content governance, such as reporting problematic content in terms of misinformation or misbehaviors. However, there is little research on how a reporting system can be effectively designed to facilitate users’ reports. This study presents a model that is grounded in structural empowerment theory and the Stimulus-Organism-Response (S-O-R) framework to bridge this gap and considers the embedded reporting system on social media as a mechanism to empower users to participate in reporting problematic content. Using a two-stage survey and a partial least squares structural equation modelling (PLS-SEM), the authors find that three empowerment structures of the reporting system (i.e. information transparency, tool usability, and platform reporting support) stimulate users’ reporting self-efficacy through unequal pathways and then promote users’ engagement in reporting platform content. The contribution of this paper is that it explores the application of structural empowerment theory in empowering user reporting on social media platforms, explains the relationship between the three empowerment structures, and then provides a reference to content governance practices for the platform owner and other stakeholders.

Artificial intelligence (AI) serves as a useful resource for replacing, supporting, and augmenting individuals in responding to external difficulties and enhancing individual resilience. However, little is known about the underlying laws of how AI can heighten individual resilience. This research examines the formation of individual resilience based on the consequences of different AI usage behaviours. Study 1 uses text mining to detect individual resilience based on the experience with AI. We identify not only individual resilience but also family resilience. Study 2, based on the context of the COVID-19 pandemic, collects online survey data from personal intelligent assistant users to investigate the transformation mechanism of AI usage behaviours to individual resilience. Drawing upon the conservation of resources theory, routine and infusion use are considered two levels of resource investments to strengthen the different degrees of individual resilience by coping responses (task-focused, emotion-focused, and avoidance coping). The findings confirm the differences between routine and infusion use in the formation of individual resilience, mediated by both task-focused and emotion-focused coping, without the mediating role of avoidance coping. Our research provides enlightenment for researchers and practitioners on building resilience and improving performance.

Despite the dominance of customer co-creation experience value (CCEV) in the value co-creation research, its theoretical domain has not been systematically analysed and developed. Specifically, little is known about the nature of social media-enabled CCEV. To address the knowledge gaps, this study employs a five-step procedure to develop a conceptualisation and instrument of CCEV construct in a social media context. First, drawing on the relevant literature, we determine the conceptual framework, definition, and assumptions of CCEV. Second, we employ grounded theory methodology to analyse customer review data from three representative social media sites and identify the dimensions of CCEV (four themes consisting of 10 dimensions). Third, we create an item pool of CCEV based on the prior work and in-depth interviews of 10 customers. In the fourth and fifth steps, we collect three waves of quantitative data to develop and validate the instrument including item refinement (n1 = 234), instrument validation (n2 = 521), and nomological validity examination (n3 = 615). The results indicate that the instrument exhibits satisfactory reliability and validity. Our work contributes to theory and practice by presenting a context-specific and fine-grained conceptualisation of CCEV and a reliable and valid survey instrument.

Abstract Online health platforms play an important role in chronic disease management. Patients participate in online health platforms to receive and provide health‐related support from each other. However, there remains a debate about whether the influence of social interaction on patient health anxiety is linearly positive. Based on uncertainty, information overload, and the theory of motivational information management, we develop and test a model considering a potential curvilinear relationship between social interaction and health anxiety, as well as a moderating effect of health literacy. We collect patient interaction data from an online health platform based on chronic disease management in China and use text mining and econometrics to test our hypotheses. Specifically, we find an inverted U‐shaped relationship between informational provision and health anxiety. Our results also show that information receipt and emotion provision have U‐shaped relationships with health anxiety. Interestingly, health literacy can effectively alleviate the U‐shaped relationship between information receipt and health anxiety. These findings not only provide new insights into the literature on online patient interactions but also provide decision support for patients and platform managers.

We study the impact of a set of industry, firm- and e-commerce-related factors on Internet firm survival. Through the use of one age-based and another calendar time-based Bayesian dynamic model, we are able to examine how the impact of these factors changes over time. Our results are based on data from 115 publicly-traded Internet firms and suggest that Internet firm survival depends on different factors at the different stages in their lifetimes. Early on, an Internet firm's likelihood of survival will be higher when the initial public offerings rate of Internet stocks in the market is high and when the firm has abundant financial capital. As firms grow, their survival is increasingly contingent on their financial capital and size. Our empirical results show that from the beginning of 2001 to the end of 2002, Internet firms experienced increasing pressure on survival from their debts and from labor expenses to pay its senior executives. In addition, Internet firms start to compete based on size in late 2002 as the sector grew. We obtained these findings using new econometric methods from Bayesian statistics.