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The purpose of this article is to advance the understanding of expatriates' psychological attachment toward both their parent company and its foreign subsidiary by highlighting how workplace friendships enhance the process of adjustment for expatriates and how these effects on adjustment subsequently translate into expatriates' dual commitment.

Hypotheses were tested using a sample of 187 expatriates, working in managerial positions, in subsidiaries of multinational corporations, all of whom were assigned expatriates. Serial multiple indirect effects were tested.

The results indicated that the relationship between workplace friendships and interaction adjustment was supported, but the relationship between workplace friendships and work adjustment was not supported. The serial indirect effects of international adjustment and work adjustment on the relationship between interaction adjustment and expatriates' dual commitment were supported.

This study seeks to fill a gap in the research literature on expatriates by focusing on the issue of workplace friendships and expatriates' dual commitment. The findings help bolster the literature on relational schemas in that expatriates' workplace friendships establish scripts for expatriates' expected outlines of adjustment in work domains. This study also provides insights relevant to the literature on social interaction and adjustment, as the findings support our theory that expatriate commitment is not directly contingent on workplace friendships but rather on the mediating roles of both interaction adjustment and work adjustment.

With the spread of COVID-19, governments have initiated lockdown procedures and forced organizations to switch to remote working. Employees working remotely in isolated and confined situations are experiencing great stress and uncertainty. This study aims to investigate how remote workers perform during lockdowns.

Drawing on social information processing theory, this study developed and tested hypotheses linking professional isolation, cynicism and task performance. This study was comprised of 497 remote workers in the financial industry in China.

The findings revealed that professional isolation is positively related to cynicism, and cynicism is negatively related to task performance. Cynicism mediates the relationship between professional isolation and task performance. The results indicated that psychological hardiness moderated the mediation effect of professional isolation on task performance through cynicism.

This research offers implications for managers and practitioners on reducing employees' feeling of isolation through effective communication, collaboration and support via online platforms and preventing and reducing cynicism by introducing clear organizational policy and practice to balance job demands and job resources. Meanwhile, managers can develop commitment, control and challenge components of employees' psychological hardiness to enhance job performance.

This study extends the remote working literature in a crisis situation and fills the gap in the cynicism literature by understanding the role played by cynicism for remote workers. The current study also adds to the literature by highlighting the importance of psychological hardiness for remote workers during the pandemic.

The purpose of this article is to empirically examine the relationships between organizational support, affective commitment, and organizational citizenship behavior (OCB) for expatriates.

Data from 162 expatriates, working in 37 subsidiaries of multinational corporations located in Mainland China, are used to examine the proposed hypotheses. The surveys are administrated in Chinese. Survey items are first translated into Chinese and then back translated to English to reduce the risk of losing meaning. Hierarchical regressions are used in the statistical analyses.

Results indicate that perceived organizational support (POS) from both the parent company and the subsidiary significantly related to affective commitment and organizational‐directed OCB. The results also show that the affective commitment acted as a partial mediator of the relationship between parent company POS and organizational‐directed OCB, and a full mediator of the relationship between subsidiary POS and organizational‐directed OCB.

The sampling strategy employed possibly could weaken the generalization of the research findings.

The empirical results would encourage practitioners to enhance their services for expatriates. Management efforts devoted to enhancing the perception and reality of organizational support to expatriates may offer positive outcomes in terms of higher expatriate affective commitment towards the parent company, which significantly mediates the impact of POS on expatriate's ultimate attitudes and behaviors toward the company.

This study using POS as a lens to study expatriates' organizational commitment and organizational‐directed OCB provides a base for additional research to further develop the fields of POS and organizational‐directed OCB as they apply to expatriates.

Using a 10,709 firm-year sample covering the 1998–2007 period, we investigate the determinants of capital structure among 1,491 ASEAN-4 (Indonesia, Malaysia, the Philippines, and Thailand) emerging market firms. Building on the work of previous authors, we apply the two-step generalized method of moments (Arellano & Bond, 1991) to develop country-specific dynamic models of target leverage decisions. The right-hand variables incorporate a lagged leverage term that controls for the firms' target adjustment process and the following four explanatory variables: firm size, profitability, tangibility, and nondebt tax shields. The sign and significance of each coefficient provides evidence regarding whether the impact of the associated variable is consistent with the trade-off or pecking order theories. We find that size is negatively associated with leverage among Malaysian, Philippine, and Thai firms but positively associated among Indonesian firms. Profitability is negatively associated with leverage among Indonesian and Malaysian firms but positively associated among Philippine firms. Tangibility is negatively associated with leverage among Malaysian firms but positively associated among Philippine firms. While the impacts of size and profitability are consistent with pecking order theory, the impact of tangibility is not supportive of a specific theory. Of the four variables, size is consistently influential, while nondebt tax shields have no significant impact among firms in any country.

To cope with the severe situation of the global climate, China proposed the “30 60” dual-carbon strategic goal. Based on this background, the purpose of this paper is to investigate scientifically and reasonably the interprovincial pattern of China’s power carbon emission intensity and further explore the causes of differences on this basis.

Considering the principle of “shared but differentiated responsibilities,” this study measures the carbon emissions within the power industry from 1997 to 2019 scientifically, via the panel data of 30 provinces in China. The power carbon emission intensity is chosen as the indicator. Using the Dagum Gini coefficient to explore regional differences and their causes.

The results of this paper show that, first, China’s carbon emission intensity from the power industry overall is significantly different. From the perspective of geospatial distribution, the three regions have unbalanced characteristics. Second, according to the decomposition results of the Gini coefficient, the overall difference in power carbon emission intensity is generally expanding. The geospatial and economic development levels are examined separately. The gaps between the eastern and economically developed regions are the smallest, and the regional differences are the source of the overall disparity.

Further exploring the causes of differences on this basis is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies. This study provides direction for analyzing the green and low carbon development of China’s power industry.

As an economic indicator of green and low-carbon development, CO₂ intensity of power industry can directly reflect the dependence of economic growth on the high emission of electricity and energy. and further exploring the causes of differences on this basis is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies.

For a long time, with the rapid economic development, resulting in the unresolved contradiction between low energy efficiency and high carbon emissions. To this end, scientifically and reasonably investigating the interprovincial pattern of China’s power carbon emission intensity, and further exploring the causes of differences on this basis, is crucial for relevant departments to formulate differentiated energy conservation and emission reduction policies.

Third, considering the influence of spatial factors on the convergence of power carbon emission intensity, a variety of different spatial weight matrices are selected. Based on the β-convergence theory from both absolute and conditional perspectives, we dig deeper into the spatial convergence of electricity carbon emission intensity across the country and the three regions.

This study aims to investigate the structural characteristics, spatial evolution paths and internal driving mechanisms of the knowledge transfer (KT) network in China’s patent-intensive industries (PIIs). The authors' goal is to provide valuable insights to inform policy-making that fosters the development of relevant industries. The authors also aim to offer a fresh perspective for future spatiotemporal studies on industrial KT and innovation networks.

In this study, the authors analyze the patent transfer (PT) data of listed companies in China’s information and communication technology (ICT) industry, spanning from 2010 to 2021. The authors use social network analysis and the quadratic assignment procedure (QAP) method to explore the problem of China’s PIIs KT from the perspectives of technical characteristics evolution, network and spatial evolution and internal driving mechanisms.

The results indicate that the knowledge fields involved in the PT of China’s ICT industry primarily focus on digital information transmission technology. From 2010 to 2021, the scale of the ICT industry’s KT network expanded rapidly. However, the polarization of industrial knowledge distribution is becoming more serious. QAP regression analysis shows that economic proximity and geographical proximity do not affect KT activities. The similarity of knowledge application capacity, innovation capacity and technology demand categories in various regions has a certain degree of impact on KT in the ICT industry.

The current research on PIIs mainly focuses on measuring economic contributions and innovation efficiency, but less on KT in PIIs. This study explores KT in PIIs from the perspectives of technological characteristics, network and spatial evolution. The authors propose a theoretical framework to understand the internal driving mechanisms of industrial KT networks.

This paper aims to address a pollution-routing problem with one general period of congestion (PRP-1GPC), where the start and finish times of this period can be set freely.

In this paper, three sets of decision variables are optimized, namely, travel speeds before and after congestion and departure times on given routes, aiming to minimize total cost including green-house gas emissions, fuel consumption and driver wages. A two-phase algorithm is introduced to solve this problem. First, an adaptive large neighborhood search heuristic is used where new removal and insertion operators are developed. Second, an analysis of optimal speed before congestion is presented, and a tailored speed-and-departure-time optimization algorithm considering congestion is proposed by obtaining the best node to be served first over the congested period.

The results show that the newly developed operator of congested service-time insertion with noise is generally used more than other insertion operators. Besides, compared to the baseline methods, the proposed algorithm equipped with the new operators provides better solutions in a short time both in PRP-1GPC instances and time-dependent pollution-routing problem instances.

This paper considers a more general situation of the pollution-routing problem that allows drivers to depart before the congestion. The PRP-1GPC is better solved by the proposed algorithm, which adds operators specifically designed from the new perspective of the traveling distance, traveling time and service time during the congestion period.

This study aims to explore the relationship between elderly users' trust in public digital cultural services (PDCS) and their intention to use PDCS, and reveal the factors affecting their intentions from the perspective of trust to make recommendations that will increase their intention to use PDCS.

Combined with the trust building model and social exchange theory, this study constructed a conceptual model of elderly users' intention to use PDCS. Data collected from Chinese elderly users who have reached the age of 60 through questionnaire surveys were tested using the structural equation model with partial least squares. Finally, the authors proposed a model of elderly users' intention to use PDCS.

This study finds that elderly users' trust positively affects their intention to use PDCS from two aspects: service features and user features of PDCS. Concerning the service features, system quality directly affects elderly users' trust in PDCS most significantly, followed by information quality and service reputation. Concerning the user features, perceived value has a higher impact on elderly users' trust than that of service features, and information literacy and information quality directly affect perceived value.

This study adds new knowledge to the users' behavior of PDCS and enriches the prior description of PDCS. The recommendations made in this study provide a series of strategies for practitioners and researchers to improve the elderly users' intention to use PDCS and bridge the silver digital divide, which offers new ideas for improving the efficiency of PDCS.

This study aims to reveal the influencing factors of user churn behavior and explore how these factors influence user churn behavior of rural public digital cultural services (RPDCS), and then, to provide the avoidance strategies for user churn behavior of RPDCS.

Combined with the stimulus–organism–response theory and cognitive load theory, this study constructed a mixed model of user churn behavior. Data collected through online and offline questionnaire survey were tested using the partial least squares structural equation modeling approach, and finally, the authors proposed a user churn behavior model of RPDCS.

The results indicate that the environmental stimulus factors of RPDCS affected user churn behavior via user organism factors. This study suggests that administrators should pay more attention to the information demand of users and strengthen the effective supply of RPDCS. Meanwhile, it is necessary to improve the information literacy of rural users to restrain the user churn behavior and improve the effectiveness of RPDCS.

The research findings on the influencing factors of user churn behavior shed light on the user churn behavior in public digital cultural services, add new knowledge to the construction of the public cultural services system and provide empirical evidence for how to improve the utilization and effectiveness of RPDCS.