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This study aims to investigate the factors and mechanism which influence the doctor’s social and economic benefits from the perspective of social capital.

This paper mainly investigates the factors and mechanism influencing the doctor's social and economic benefits from the perspective of social capital and then constructs a doctor's social capital model and discusses the effects of doctor's social capital on their economic and social benefits; what is more, this paper also considers the moderating effect of patients’ group behavior.

The results show that the doctor's social capital has a positive and significant effect on doctor's economic benefits, while it has a negative and significant effect on doctors' social benefits. Patients’ group behavior plays an important moderating role; in particular, the number of online patients of doctors can effectively strengthen follow-up patients’ positive perception of the doctor capital, while the number of offline patients has a negative effect on doctors’ economic benefits, but it can reduce its negative impact on doctors’ social benefits by establishing trust between patient and physician.

This paper enriches the relevant research of social capital theory in the medical field and broadens the research about online health care. For platforms, they should give more attention to doctors and their income issues, which is of great significance for their healthy and sustainable development.

Enterprise social networks (ESNs) in organizations have become an increasingly important technology to support the exchange of information and knowledge. Many ESN projects fail due to insufficient engagement in the long run, leading to the high risk of sunk costs. The purpose of this paper is to investigate how hedonic motivations, along with normative motivations, play an important role in determining an employee’s intention to continuously participate in ESN. Based on the Four-Drive Model and hence borrowing from behavioral economics, it is investigated how such hedonic motivations emerge in organizational ESNs.

This study is set within the context of a global enterprise of the logistics and courier industry. The authors first derived hypotheses from the Four-Drive Model to build the research model on the emergence of hedonic motivation. Then, the authors derived hypotheses from existing adoption literature regarding the impact of hedonic motivations and normative motivations on ESN use continuance. Following, a quantitative survey was conducted to test these hypotheses. In the study, structural equation modeling is applied, based on partial least squares.

The results show that the extent to which an ESN supports the drives to comprehend, acquire, bond and defend starkly influences an employee’s hedonic motivations. In addition, it is shown that hedonic motivations have a much stronger influence on use continuance than normative motivations.

Research on hedonic motivations in the work context is still underrepresented, in management science as well as information systems (IS) research. Hence, theoretical approaches to explain and predict the emergence of hedonic motivations in IS usage are missing. With the study, the authors will close this theoretical gap. The study contributes to IS research not only by evaluating the role of hedonic motivation for ESN usage, but also by providing an approach to explain key drivers behind it. To the best of the authors’ knowledge, this is the first study to empirically test the Four-Drive Model in a voluntary IS context, adding valuable knowledge about human behaviors in digital work environments.

This research aims to find out the impact of knowledge sharing (KS) and knowledge hiding (KH) on employee creativity (EC) and eventually on firm innovativeness (FI). The study also investigates the moderating roles of incentive focus, preventive focus and enterprise social networking (ESN) adoption on EC and FI.

The study used an empirical research approach and created a research model using resource-based view theory and literature. The model was validated using the partial least squares structural equation modeling technique to analyze data from 347 respondents from Indian firms.

The authors found that there is a considerable moderating impact of all three moderators on EC and firms’ innovativeness. KS has a positive impact and KH has a negative impact on EC.

Knowledge can be shared within a firm by using an ESN tool. KS is the brighter side of the knowledge management process, whereas KH is the darker side of it. The study presents insights into and prescriptions for the bright and dark sides of knowledge management. The study results also imply that the firm managers must try to properly integrate the knowledge acquired from various stakeholders such as institutions, customers, competitors and suppliers as well as to focus on the tacit, precious and distinctive knowledge helpful to sustain long-term relationships with the valued external sources. The study empirically validates the model with the respondents from Indian firms, and thus the proposed model cannot be generalized.

Few research studies have examined both the bright and dark sides of the knowledge management process. There is a growing interest among researchers and practitioners to explore these sides of the knowledge management process using information systems and knowledge risk. Moreover, the proposed theoretical model has a high explanative power that makes the model effective and unique.

Crowdsourcing platforms have emerged as an innovative way to generate ideas and solving problems. However, promoting sustained participation among crowdworkers is an ongoing challenge for most crowdsourcing platform providers. Drawing on self-determination theory, this study investigates the impacts of job autonomy on crowdworkers' sustained participation intention.

A survey of 212 crowdworkers from a leading crowdsourcing platform in China was conducted to empirically validate the model.

The empirical results lead to several key findings. First, the taxonomy of job autonomy in crowdsourcing contains three archetypes: work-scheduling autonomy, work-task autonomy, and work-method autonomy. Second, work-scheduling autonomy and work-method autonomy have more significant positive effects on temporal value than work-task autonomy, and this increase in temporal value increases crowdworkers' sustained participation intention. Third, work-task autonomy exerts a stronger influence on hedonic value than work-scheduling autonomy or work-method autonomy, and this increase in hedonic value also increases crowdworkers' sustained participation intention.

This study extends the crowdsourcing literature by examining the formation of crowdworkers' sustained participation and highlighting the role of differential effects of multidimensional job autonomy on crowdworkers' sustained participation. We believe that this study provides actionable insights into measures that promote crowdworkers' sustained participation in the crowdsourcing platform.

After information systems (IS) implementation, many organizations report that system underutilization causes the failure to meet expected IS investment returns. It is imperative to understand the way to leverage employees’ fullest potential in the IS usage. The paper aims to discuss these issues.

Anchoring on absorptive capacity (ACAP) theory, the authors develop an employee innovation model. Using survey data and structural equation modeling, this research investigates how perceived organizational levers affect innovation with IS usage (INVU) by introducing individual ACAP as a mediator.

The authors find general support for the research model through a survey of 205 employees using SAP business intelligence systems in China. The empirical data shows that three interrelated components of individual ACAP significantly contribute to INVU. The findings also suggest that, both fairness of reward and job autonomy are key organizational levers for the utility of individual ACAP. Furthermore, their effects on INVU can be fully mediated by individual ACAP.

The authors empirically unpack and validate individual ACAP in IS innovation situation. The findings provide academics and practitioners with an understanding of how management can inspire employees’ potential in implemented system innovation.

Knowledge sharing is a key part of enterprise knowledge management, which helps to develop and use knowledge-related resources and ultimately achieve organizational goals. This study aims to theoretically discuss and empirically investigate the mechanism by which the intention to share knowledge is influenced by employees’ attitudes, social pressure and job characteristics.

Based on the theory of planned behavior, this study uses primary data collected from technology companies in the Yangtze River Delta region of China based on a longitudinal tracking research method of different variables at two different points in time. The data from 287 questionnaires were investigated by hierarchical regression analysis and processed with SPSS 21.0.

The findings suggest that attitudes toward knowledge sharing, perceived social norms and job autonomy positively affect knowledge-sharing intentions. Job autonomy plays a moderating role in the relationship between perceived social norms and knowledge-sharing intentions. Specifically, job autonomy positively moderates the effect of pro-sharing norms on knowledge-sharing intentions and negatively moderates the effects of subjective norms on knowledge-sharing intentions.

This study brings together employees’ and work-related characteristics to systematically explore the influence of employees’ personal evaluations of knowledge sharing. Additionally, by empirically distinguishing between subjective and pro-sharing norms, the study contributes to a better understanding of the antecedents of knowledge sharing and other voluntary behaviors at the individual level.

This study aims to explore and address critical aspects of IoT adoption within supply chains by identifying the key enablers and barriers, examining the drivers and challenges, and assessing the benefits and drawbacks associated with IoT implementation. Additionally, the study aims to provide insights into how organizations can leverage IoT to enhance supply chain performance across economic, operational, social, and environmental dimensions.

This study employed a systematic literature review strategy to identify relevant research published between 2009 and 2024. Using the Scopus database, an initial search yielded 369 publications. Preliminary selection criteria were then applied to narrow down the articles for further detailed evaluation. This process led to an in-depth review of 123 publications, from which data were meticulously extracted, organized into tables and analyzed. Finally, the authors developed a categorization system based on the scope and temporal aspects of IoT implementation.

This study developed a comprehensive model that identified six themes influencing IoT implementation in supply chains: pre-implementation enablers and barriers, drivers and challenges during implementation, and post-implementation benefits and drawbacks. Recommendations were mapped into four performance dimensions: environmental, social, operational, and economic. The analysis showed that IoT can enhance supply chain risk management, process integration, sustainability, collaboration, resilience, and performance measurement. Key technologies aiding IoT implementation include blockchain, radio frequency identification (RFID), enterprise resource planning (ERP), and cloud computing.

This study is one of the few to conduct a comprehensive review of widely cited papers on IoT adoption in supply chains. It systematically summarizes the enablers, barriers, drivers, challenges, benefits, and drawbacks associated with such adoption. Furthermore, it proposes a distinctive model designed to assist organizations in successfully implementing IoT technologies, thereby filling a critical gap in the existing literature.

Supply chain traceability and supply chain visibility have become a critical element for the effective management of contemporary complex supply chains. At their core is information sharing, which has been acknowledged as a key prerequisite for logistics and supply chain performance, but whose notional underpinnings have not been delineated fully, leading to interchangeable deployment of these terms. Addressing the shortcoming, this paper aims to establish a contrast between the two notions.

Drawing from systematic review protocols, a multi-disciplinary review scope is constructed wherein the synthesis is strategized to primarily channel implications for the scholarship of logistics and supply chain management. The review is aimed at addressing two research objectives: (1) how the notions of traceability and visibility in supply chain management develop contrast in terms of their thematic emphasis and (2) to attain an integrative understanding of the notional convergence and divergence between supply chain traceability and visibility for raising strategic recommendations.

The review outcomes help contrast both the convergence and the divergence between traceability and visibility in the supply chain environment, and the differentiated but fundamental role that information sharing plays within these notions to outline why they are not interchangeable.

The originality of the findings lies in the conceptual synthesis of the relevant literature from both technological and non-technological perspectives to ultimately draw logistics and supply chain management implications. The review also points out key strategic considerations to demarcate the notional boundaries of traceability and visibility in future research.

The purpose of this paper is to : first, examine information systems (IS) infusion from a user commitment perspective, and second, examine the formation of user commitment toward the use of IS in terms of job design.

This study adopts a survey approach with structural equation modeling to test the developed research model and hypotheses.

A survey of 236 enterprise system users shows that user commitment has a positive effect on IS infusion. User commitment, in turn, is influenced by task technology fit, technology self-efficacy, and task autonomy. Further mediation and direct effects to IS infusion are explored.

This study offers implications for research, such as explaining a driver of IS infusion; and extending commitment theory by finding antecedents of user commitment.

The results of this study offer suggestions to management on how to improve IS infusion in terms of user commitment and, consequently, how to develop user commitment based on the socio-technical system (STS) design.

The study highlights the critical impact of technology autonomy on IS infusion. An individual user’s authority in using and regulating the system is required for IS infusion.

This study has proposed a theoretical model of IS infusion based on commitment and socio-technical job design factors.

This study aims to explore the relationship between the content characteristics of destination online reviews and travel intention under three individual circumstances: temporal distance, social distance and experiential distance.

Based on construal-level theory (CLT), this study divides online travel reviews into concrete and abstract reviews. Three experiments were conducted to test the moderating effects of temporal distance, social distance and experiential distance on the influence of review content characteristics on tourists' travel intentions.

The results show that abstract reviews would lead to higher travel intentions than concrete reviews. Furthermore, tourists' travel intentions differed depending on social distance and were significantly affected by reviews posted by reviewers similar to review recipients. In addition, the study contributes by discovering that the moderating effects of temporal distance, social distance and experiential distance were not significant, which differs from most of the previous research conclusions.

This study focused on review content characteristics, which provided a novel perspective for constructing online travel reviews. Furthermore, this research defined the concept of experiential distance in the context of online travel and expanded the research on psychological distance.