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Focusing on social network services (SNS), the purpose of this paper is to propose a research model to investigate individuals’ SNS usage facilitators and inhibitors from the perspective of individuals’ media system dependency (MSD) and privacy concerns.

The research model will be tested with data collected from online users of Facebook. The survey yielded a total of 403 responses for the data analysis which was conducted by measurement and structural models.

The findings indicate that SNSs members strive for understanding, orientation, and play dependencies which facilitate their satisfaction and social presence, and subsequently fosters their continuance intention toward the SNS. In addition, the members’ privacy concerns decrease satisfaction and social presence online.

First, this study has contributed to the authors’ understanding of an individual’s SNS facilitators and inhibitors from the theoretical perspective (i.e. MSD theory and privacy concerns). Second, satisfaction is a strong antecedent of continuance intention and would dilute the effect of social presence on an individual’s SNS continuance intention.

This paper aims to investigate the moderating effects of employee commitment, customer loyalty and corporate reputation on the relationship between family influence and international expansion.

A cross-national research design was conducted using both survey and secondary data of 119 firms taken from the top 1,000 Taiwanese enterprises.

This study found moderating effects in the positive impact of family influence on international expansion. Specifically, the study found the relationship between family influence and international expansion stronger for companies with greater relational support from employees, customers and the public.

Multi-level data collection and a longitudinal research design in future research could help in further understanding the relationships between the variables in this study.

This paper suggests that family business should establish enduring relationship with their employees and customers and have a plan to improve family reputation that will benefit international market expansion.

This study draws on the relational perspective to investigate how family influence results in different international expansion.

This study aims to integrate self-determination and social exchange theories to assess how the three-way interaction between human capital, perceived organizational support (POS) and future time perspective (FTP) affects turnover intention.

The study uses a sample of 586 engineers and their immediate supervisors working in Taiwanese high-technology companies to examine the hypothesized relationships.

The results indicate that human capital with a high POS has a lower turnover intention than that with a low POS. Moreover, a three-way interaction is observed between human capital, POS and FTP, indicating that human capital predicts lower turnover intention when both POS and FTP are high.

The findings suggest that managers should hire employees who have high human capital and who are predisposed to FTP and provide strong organizational support to retain outstanding manpower.

This study is one of the first to examine the interaction effects of POS and FTP on the relationship between human capital and turnover intention.

The study investigates the moderating effect of individual human capital in the relationship between job satisfaction and turnover intention. In addition, the moderating effect of abusive supervision on moderation by individual human capital was considered.

This study used cross-sectional, self-reported data from 133 human resource specialists and their supervisors, who responded to a matching dyad survey.

The study found that human capital moderated the negative effects of job satisfaction on turnover intention. The results also verified the moderated moderating effect of abusive supervision on the interaction effect of human capital and job satisfaction on turnover intention. More specifically, the moderating effect of human capital on the relationship between job satisfaction and turnover intention was more pronounced when employees perceived high levels of abusive supervision.

The study developed a moderated moderation model to understand the risk of human capital and abusive supervision for an organization and provided a new perspective indicating that job satisfaction is a key determinant in retaining low-human capital employees but not high-human capital employees. Accordingly, companies may strategically choose to employ suitable employees, rather than star employees. In addition, talent management should focus beyond reward/compensation and prevent negative leadership behaviors.

The healthcare sector is experiencing a major paradigm shift toward a people-centered approach. The key issue with transitioning to a people-centered approach is a lack of understanding of the ever-increasing role of technology in blended human-technology healthcare interactions and the impacts on healthcare actors' well-being. The purpose of the paper is to identify the key mechanisms and influencing factors through which blended service realities affect engaged actors' well-being in a healthcare context.

This conceptual paper takes a human-centric perspective and a value co-creation lens and uses theory synthesis and adaptation to investigate blended human-technology service realities in healthcare services.

The authors conceptualize three blended human-technology service realities – human-dominant, balanced and technology-dominant – and identify two key mechanisms – shared control and emotional-social and cognitive complexity – and three influencing factors – meaningful human-technology experiences, agency and DART (dialogue, access, risk, transparency) – that affect the well-being outcome of engaged actors in these blended human-technology service realities.

Managerially, the framework provides a useful tool for the design and management of blended human-technology realities. The paper explains how healthcare services should pay attention to management and interventions of different services realities and their impact on engaged actors. Blended human-technology reality examples – telehealth, virtual reality (VR) and service robots in healthcare – are used to support and contextualize the study’s conceptual work. A future research agenda is provided.

This study contributes to service literature by developing a new conceptual framework that underpins the mechanisms and factors that influence the relationships between blended human-technology service realities and engaged actors' well-being.

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse gas emissions and promoting sustainable human development. For many countries, taking China as an example, the electric power sector is the main contributor to the country’s carbon emissions, as well as a key sector for reducing carbon emissions and achieving carbon neutrality. The low-carbon transition of the power sector is of great significance to the long-term low-carbon development of the economy. Therefore, on the one hand, it is necessary to improve the energy supply structure on the supply side and increase the proportion of new energy in the total power supply. On the other hand, it is necessary to improve energy utilization efficiency on the demand side and control the total primary energy consumption by improving energy efficiency, which is the most direct and effective way to reduce emissions. Improving the utilization efficiency of electric energy and realizing the low-carbon transition of the electric power industry requires synergies between the government and the market. The purpose of this study is to investigate the individual and synergistic effects of China’s low-carbon policy and the opening of urban high-speed railways (HSRs) on the urban electricity consumption efficiency, measured as electricity consumption per unit of gross domestic product (GDP).

This study uses a panel of 289 Chinese prefecture-level cities from the years 1999–2019 as the sample and uses the time-varying difference-in-difference method to test the relationship between HSR, low-carbon pilot cities and urban electricity consumption efficiency. In addition, the instrumental variable method is adopted to make a robustness check.

Empirical results show that the low-carbon pilot policy and the HSR operation in cities would reduce the energy consumption per unit of GDP, and synergies occur in both HSR operated and low-carbon pilot cities.

This study has limitations that would provide possible starting points for future studies. The first limitation is the choice of the proxy variable of government and market factors. The second limitation is that the existing data is only about whether the high-speed rail is opened or not and whether it is a low-carbon pilot city, and there is no more informative data to combine the two aspects.

The findings of this study can inform policymakers and regulators about the effects of low-carbon pilot city policies. In addition, the government should consider market-level factors in addition to policy factors. Only by combining various influencing factors can the efficient use of energy be more effectively achieved so as to achieve the goal of carbon neutrality.

From the social perspective, the findings indicate that improving energy utilization is dependent on the joint efforts of the government and market.

The study provides quantitative evidence to assess the synergic effect between government and the market in the low-carbon transition of the electric power industry. Particularly, to the best of the authors’ knowledge, it is the first to comprehend the role of the city low-carbon pilot policy and the construction of HSR in improving electricity efficiency.

This paper aims to examine the antecedents of brand passion and brand community commitment, namely, self-congruity and athlete attraction, as well as their effects on online brand advocacy in online brand communities.

The sample comprises members of a Facebook football fan club brand community. An online survey measuring athlete-level factors, team-level factors and online brand advocacy provides data to test the conceptual framework using structural equation modeling with partial least squares (PLS-SEM).

The findings of this paper support the positive spillover effect from athlete subbrand to team brand advocacy, as self-congruity exerted positive effects on brand passion and brand community commitment, while athlete attraction influenced brand community commitment, leading to online brand advocacy.

The findings validate the dimensions of online brand advocacy and advance research on sports brand hierarchy in brand architecture by establishing the transference effect from athlete to the team brand.

To effectively manage their brands online, brand managers need to pay attention to the powerful and multifaceted tool of online brand advocacy. Brand managers can capitalize on their active advocates by working closely with them to co-create uplifting and authentic brand stories that are worthwhile for sharing, especially in times of crisis.

Building on the developmental trajectory of brand love and vicarious brand experience, the findings verify the directionality of the spillover effect and offer insights into the development of brand advocacy across different brand levels.

This paper aims to explore the critical success factors (CSFs) in Chinese cross-border Mergers and Acquisitions (M&As) to improve the odds of Chinese overseas acquisition success.

For the multidisciplinary analysis purpose, a SCOPE model is developed to integrate the five key dimensions of Strategic (S), Cultural (C), Organizational (O), Process (P) and External (E) CSFs. Because of the exploratory nature of the research, a case study approach has been applied.

Based on the two in-depth case studies of Lenovo’s acquisition of Medion and Sany’s acquisition of Putzmeister in Germany, eight CSFs along the five key dimensions have been identified. Apart from the identified CSFs, the two other factors of robust due diligence and M&A project organizational structure fit are worthy of noting.

The first limitation relates to the weaknesses of case study research method. The findings derived from the two selected M&A cases cannot be generalized to all the contexts of Chinese cross-border M&As. The second limitation relates to the subjective nature of judgments made by the participants in our empirical study. The identified CSFs were based on the perceptions of the interviewed managers.

The research is of high practical importance for Chinese companies doing or considering cross-border M&As. The CSFs identified in this research can direct managerial priorities toward those few areas which should receive careful attention and control to achieve the M&A success.

No much empirical research has addressed Chinese cross-border M&As from a CSF perspective. This research helps to fill this research gap and provides new insights for the Chinese companies to increase the success rate in their cross-border M&A projects.

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.

Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.

MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.

MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.

This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

Top management team (TMT) serves as the critical designer of a firm’s business model, whose cognition exerts key influence on business model design (BMD). Drawing insights from the managerial cognition and knowledge-based views, this paper aims to examine the effect of TMT transactive memory system on BMD and investigate how the relationship between TMT transactive memory system and BMD is contingent upon the firm’s strategic orientation.

Survey data collected from 210 Chinese firms was used to test the research hypotheses through multivariate regression analysis.

This paper reveals that TMT transactive memory system facilitates novelty- and efficiency-centered BMD. Furthermore, both differentiation orientation and cost leadership orientation can strengthen the effect of TMT transactive memory system on novelty-centered BMD; the impact of TMT transactive memory system on efficiency-centered BMD is weakened by differentiation orientation but strengthened by cost leadership orientation.

This paper adds to the business model literature by unraveling the effect of TMT transactive memory system on BMD, which not only enriches the internal cognitive antecedents of BMD but also provides an in-depth understanding of how TMTs can use their knowledge structure to proactively design a certain business model. Moreover, this paper also offers insights into how TMTs can better use transactive memory system to design business models according to the specific strategic orientation.