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.

To make a comprehensive literature review and identify the development trends, this study maps the intellectual structure of the research information management based on co-keyword analysis, the 2-tuple linguistic technique, and social network analysis. This study reveals the intellectual structure by analyzing the topological structure, conceptual structure, and strategic diagram. From the perspective of topological structure, the research of the information management field can be divided into three layers including the nucleus layer, middle layer, and marginal layer. In terms of the conceptual structure, the research of information management can be divided into four sub-fields including health information management, information systems, information technology, and information management application. The four subfields can be repartitioned into seven clusters by using a 2-tuple linguistic model, which means that the 2-tuple linguistic model can improve co-keyword analysis.

Improving the management of information technology (IT) projects is of prime concern to both IS researchers and practitioners, as IT projects are notorious for poor process performance, frequently running over budget and behind schedule. Over the years, at least two separate streams of research have emerged with the aim of contributing to our understanding of IT project management. One of these focuses on the exercise of formal and informal controls, while another focuses on identifying and managing key risks such as those associated with requirements and users. Proponents of the control stream would argue that the exercise of formal and informal controls can improve process performance and there is some evidence that this is so. An obvious question that emerges, however, is how effective these controls are in the presence of particular risks. In this study, we seek to answer this question by developing and testing a research model that integrates these two streams of research. On the basis of data collected from 63 completed IT projects in China, we examine the moderating effects of requirements risk and user risk on the relationship between control (both formal and informal) and the process performance of IT projects. We contribute to the current state of knowledge by clearly demonstrating that both types of risk moderate the effects of formal and informal controls on performance. Specifically, both requirements risk and user risk were found to reduce the positive influence of controls on process performance, implying that implementing solid controls is a necessary, but not sufficient, condition to ensure good process performance.