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China’s rapid pace of urbanization has resulted in millions of rural residents migrating from rural areas to urban areas for better job opportunities. Due to economic pressures and the nature of China’s demographic policies, many of these migrants have been forced to leave their children with relatives – typically paternal grandparents – at home in the countryside. Thus, while income for most migrant families has risen, a major unintended consequence of this labor movement has been the emergence of a potentially vulnerable sub-population of left-behind children (LBCs). The purpose of this paper is to examine the impacts of parental migration on both the academic performance and mental health of LBCs.

Longitudinal data were drawn from three waves of a panel survey that followed the same students and their families – including their migration behavior (i.e. whether both parents, one parent, no parent migrated) – between 2015 and 2016. The survey covers more than 33,000 students in one province of central China. The authors apply a student fixed-effects model that controls for both observable and unobservable confounding variables to explicate the causal effects of parental migration on the academic and mental health outcomes for LBC. The authors also employ these methods to test whether these effects differ by the type of migration or by gender of the child.

The authors found no overall impact of parental migration on either academic performance or mental health of LBCs, regardless of the type of migration behavior. The authors did find, however, that when the authors examined heterogeneous effects by gender (which was possible due to the large sample size), parental migration resulted in significantly higher anxiety levels for left-behind girls. The results suggest that parental migration affects left-behind boys and girls differently and that policymakers should take a more tailored approach to addressing the problems faced by LBCs.

The main contributions of this paper come from the large and representative sample, as well as the causal effects analysis of being left-behind on both academic performance and mental health. First, the paper uses comprehensive panel data from a representative and populous province in China, and the sample size is the largest one among LBC-related papers to the authors’ knowledge. Second, the paper separately examines the causal effects on the student outcomes of different migration strategies. Third, the paper analyzes the heterogeneous effects of different migration strategies on LBC gender. The authors believe that the paper makes a key contribution to the literature.

The purpose of this study is to investigate the impact of high-performance (HP) human resource (HR) practices on employee job engagement and organizational citizenship behavior (OCB) and the moderating effects of transformational leadership.

A sample of 268 employees from the US and a sample of 288 employees from South Korea (SK) were used for examining the hypotheses.

The results illustrated that high-performance HR practices (HPHRP) significantly predicted employee job engagement and OCB in SK. Transformational leadership was found to moderate the associations of HPHRP with employee job engagement and OCB in SK, while in the US, transformational leadership only moderated the relationship between HPHRP and OCB.

Transformational leaders reinforce the quality of the employee–organization relationship and strengthen the impact of HPHRP on employees' positive work-related behaviors.

This study contributes to the understanding of employees' organizational behavior as exploring the relationships of HPHRP, transformational leadership, job engagement and OCB.

Much of the literature on citizen participation in the budget process links the council-manager form of government with higher levels of citizen participation, assuming the council-manager form represents professional administration. This is contradictory to the reality that different forms of government have “borrowed” features from each other and many now have mixed forms of government (i.e., adapted). The literature also contains ambiguities about city managers’ role in participatory budgeting. We review the literature and identify three competing theories about the role of professional managers in the budget process. We directly examine the effect of city managers in terms of their professional dimensions, institutional environment, and individual willingness to represent citizens. Using survey data from Florida, we demonstrate that managers’ professionalism, perceived political environment, and attitude toward citizen input are important factors explaining local governments’ adoption of participatory budgeting.

The purpose of this paper is to explore how information on air pollution is shaped online on an everyday basis, with a particular emphasis on digital devices and digital representations as constitutive of environmental information practices. Furthermore, this research highlights an understudied aspect of air pollution – the digital flow of multimodal representations that citizens encounter and produce in their everyday life.

The information gathering was carried out on an everyday basis during February-March 2017. The study is based on 403 microblog posts from the social media site Sina Weibo, and netnographic fieldwork, including the observation of news, advertisements, and diary writing. The collected data were mapped in clusters based on the interrelations of objects, agents, and activities, and analyzed in depth using qualitative multimodal analysis.

Information enacted through specific socio-materialist configurations depicts air pollution as self-contained and separated from human action. Air quality apps are central in connecting a wider nexus of representations and promoting such perceptions, illustrating the role of digital devices in an everyday information context.

The study reveals a schism between Chinese political environmental visions and everyday environmental information practices, which raises questions of how the battle against air pollution can be sustained in the long term.

This study suggests that digital material aspects – inbuilt applications of digital devices and digital representations of objects – are interrelated with physical experiences of air pollution, and thus constitute elements of practice in their own right.

Hazard assessment on drought disaster is of great significance for improving drought risk management. Due to the complexity and uncertainty of the drought disaster, the index values have some grey multi-source heterogeneous characteristics. The purpose of this paper is to construct a grey projection incidence model (GPIM) to evaluate the hazard of the drought disaster characterised by the grey heterogeneity information.

First, the index system of the drought hazard risk is established based on the formation mechanism of the drought disaster. Then, the GPIM for the heterogeneous panel data is constructed to assess drought hazard of five cities in Henan Province. Subsequently, based on the assessment results, the grey clustering model is employed for the regional division.

The findings demonstrate that five cities in central Henan Province are divided into three categories, which correspond to three different risk grades, respectively. With respect to different drought risk areas, corresponding countermeasures and suggestions are proposed.

This paper provides a practical and effective new method for the hazard assessment on drought disaster. Meanwhile, these countermeasures and suggestions can help policy makers to improve the efficiency of drought resistance work and reduce the losses caused by drought disasters in Henan Province.

This paper proposes a new GPIM which resolves the assessment problems of the uncertain systems with grey heterogeneous information, such as real numbers, interval grey numbers and three-parameter interval grey numbers. It not only expands the application scope of the grey incidence model, but also enriches the research of panel data.

In recent years, a number of researchers have attempted to make an integration of sustainability with supply chain risk management. These studies have led to valued insights into this issue, though there is still a lack of knowledge about the mechanisms by which sustainability-related issues are materialized as risks in the supply chain management.

The paper aims to provide a comprehensive framework to evaluate the sustainability risk in the supply chain management mechanism. To do so, a novel approach using the double normalization-based multiple aggregation (DNMA) approach under the intuitionistic fuzzy (IF) environment is extended to identify, rank and evaluate the sustainability risk factors in supply chain management.

To provide comprehensive sustainability risk factors, this study has conducted a survey using interview and literature review. In this regard, this study identified 36 sustainability risk factors in supply chain management of the manufacturing firms in five different groups of risk, including sustainable operational risk factors, economic risk factors, environmental risk factors, social risk factors, and sustainable distribution and recycling risk factors. The results of this paper found that the poor planning and scheduling was the important sustainability risk in supply chain management of the manufacturing firms, followed by the environmental accidents, production capacity risk, product design risk and exploitative hiring policies. In addition, the results of the study found that the extended approach was effective and efficient in evaluating the sustainability risk factors in supply chain management of the manufacturing firms.

Three aggregation methods based on the normalization techniques are discussed. A DNMA method is proposed under intuitionistic fuzzy sets (IFSs). To propose a broad procedure for identifying and classifying sustainability risk factors (ESFs) in supply chain management. To rank the sustainability risk factor, the authors utilize a procedure for evaluating the significance degree of the sustainability risk factor in supply chain management.

This paper aims to explore the intermediary role of marketing dynamic capability (MDC) in the relationship between customer knowledge management (CKM) and product innovation performance (PIP).

A conceptual model is proposed and a survey instrument is developed. The model is tested empirically in an organizational buyer/seller setting using a survey among middle and top management of firms engaged in business-to-business relationships within high-tech industries in China.

Results show that MDC fully mediates the relationship between CKM and PIP. Empirical findings thus demonstrate that CKM is related to improved firm PIP through the deployment of firm-specific MDCs.

The study provides clarification for a unique distinction between organizational learning and dynamic capabilities. Findings suggest that knowledge creation occurs within the scope of CKM, while the analytical and perceptual processes that lead to insights and redeployment of firm resources fall under the umbrella of MDCs.

Dynamic capabilities play an essential role in transforming the firm’s knowledge resources to create new configurations in response to market needs. Hence, this study reinforces the role of marketing decision-makers with appropriate decision-making power who, in an ongoing cooperation with other functional areas, are able to adapt and redeploy resources to reflect environmental changes and implement marketing strategy decisions.

This study contributes to the literature by addressing simultaneously the relationship between CKM, MDC and PIP. Specifically, the study demonstrates the mediating influence of MDCs on the relationship between CKM and firm PIP. The study also clarifies a key distinction between organizational learning and dynamic capabilities, demonstrating that knowledge serves an antecedent role to the deployment of dynamic capabilities.

Culture and institutions are among the essential sources of comparative advantage in international trade and may influence a country's FDI influx. This paper aims to analyze the impact of cultural distance (CD) and institutional distance (ID) on the efficiency of China's outward foreign direct investment (OFDI) for the panel of 43 countries during 2003–2016.

The stochastic frontier approach (SFA) has been incorporated into the standard gravity model of gravity Kalirajan, 1999; Ravishankar and Stack, 2014). SFA has traditionally been implemented to evaluate the production frontier as the highest yield that could possibly be generated from specified input levels. The production process is viewed to be fully efficient if the real output is performed at frontier level. Otherwise, the production process is assumed technically inefficient, which implies potential scope for enhanced output. This error term is split into two parts, a non-negative term and more standard asymmetrical term. The former identifies inefficiencies in production, while the latter retrieves random disorders

The outcomes assert a U-shaped relationship between CD and the efficiency of China's OFDI. Put differently, when the CD is minimal, the “liability of foreignness” (LOF) effect plays a dominant role; and CD tends to reduce the efficiency of China's OFDI. On the flip side, when the culture distance is greater than a certain threshold level, the “advantages of foreignness” (AOF) effect plays a predominant role, and CD improves the efficiency of China's OFDI. Institutional distance results in the “LOF” effect significantly reduce the efficiency of China's OFDI.

Notwithstanding these contributions, our study has some limitations which offer directions for future research. The major limitation of this research work is the availability of comprehensive data for a well extended time, in particular for the variable of CD. Further, a firm-level study can shed light on the motivations and performance of China OFDI. Finally, given that our analysis focuses on emerging market multinational enterprises (EMNEs) from China, the findings might not be explicitly generalizable to MNEs from other developing countries. Future studies should concentrate on the comparative study of China's OFDI with other developing countries, to deepen our understanding of the effects of ID and CD on the efficiency of OFDI.

(1) The work is novel in nature as the authors attempt to explore the effect of ID and CD on efficiency of Chinese FDI. To the best of the authors’ knowledge, no research is conducted in this direction in terms of Chinese FDI. (2) Further, the prior studies employed standard gravity model, which may not correctly evaluate the trade potential viewed as the highest potential value. To overcome the shortcomings of the standard gravity model in estimation of the trade performance and efficiency, the SFA has been incorporated into the standard gravity model of gravity.

This study aims to apply legitimacy theory and self-identity theory to the online food delivery (OFD) app service and then to investigate the impact of green brand legitimacy and biospheric value orientation perceived by customers on eco-friendly behavior.

This study focuses on the mediating role of trust in green brands and its perceived benefits (including psychological and environmental benefits). This study involved an online survey of 445 customers who had experienced using OFD services in the past six months.

The platform's green brand legitimacy and consumer perceived biospheric value orientation positively impact trust in green brands. Trust in green products and services significantly affects customers' perceived benefits and has a positive impact on eco-friendly service using behavior. Mediating effect analysis indicated that brand legitimacy and biospheric value have a positive indirect influence on the psychological benefits of supporting green activities and utilitarian environmental benefits.

The convenience sampling method is used, and its purely quantitative nature may limit the generalization of the research results.

The OFD platform should encourage online catering retailers to use more eco-friendly packages for packaging food and minimize the provision of disposable tableware. The platform manager can provide consumers with knowledge and information on lowering related environmental pollution sources when ordering food.

This study innovatively introduces brand legitimacy into the green consumption literature. This is an essential expansion of the content of brand legitimacy and a supplement for the research field of eco-friendly behavior.

The purpose of this paper is to investigate factors driving consumers’ social media brand experience and its effect on customer equity and customer lifetime value (CLV). A conceptual model is proposed including the variables of product attributes, brand experience, brand attachment, brand trust, customer equity and CLV.

The proposed research model is analyzed using a survey of 708 South Korean and Chinese consumers.

The results indicate that utilitarian and hedonic values influence brand experience, and that brand experience directly influences brand attachment, brand trust and customer equity drivers. There is a positive relationship between brand attachment and trust. As a customer equity driver, brand equity has a positive effect on CLV.

This study sheds light on how brand experience in social media can improve customer equity. It contributes to the theory of brand experience and customer equity as well as smartphone product marketing strategies. From a managerial perspective, guidelines are provided for firms to implement value communication activities using social media, and to maintain and increase their CLV.