Search results

The purpose of this paper is to explore how internal and external factors simultaneously drive firms to adopt green supply chain (GSC) initiatives and to construct a comprehensive research model by drawing upon institutional theory, stewardship theory, and view of performance.

The data collected from 380 manufacturers in the electrical and electronics industries in Taiwan were analyzed via structural equation modeling and bootstrapping.

First, institutional pressures affect the GSC initiatives of firms. Second, institutional pressures influence the environmental stewardship behaviors (ESBs) of managers. Third, the ESBs of managers affect the GSC initiatives of firms. Fourth, the GSC initiatives of firms influence their environmental performance, economic performance, and competitiveness. Fifth, the bootstrapping results reveal that institutional pressures indirectly affect the GSC initiatives of firms through the ESBs of managers.

Environmental sustainability has intensified the need for firms to develop a corporate culture. Future research can investigate the relationship among the institutional pressures, greening corporate culture, and GSC initiatives of firms.

Those managers facing institutional pressures must continually focus on the effects of external factors on the GSC initiatives of their firms. They must also increase their commitment and support to such initiatives to attain favorable levels of environmental performance, economic performance, and competitiveness.

This study integrates four streams of literature on institutional theory, stewardship theory, GSC initiatives, and view of performance. Apart from analyzing field- and organization-level data simultaneously, this paper is also the first to demonstrate the relationships among institutional pressures, ESBs of managers, GSC initiatives, and firm performance.

This study aims to explore the relationships among institutional pressures, commitment of resources and returns management. Returns management is regarded as a part of supply chain management. However, the research in returns management has received much less attention. To bridge the gap, this study concerns key concepts from two important schools of thought, i.e. institutional theory and the resource-based view, to build up the research model.

Retailers and maintenance providers in the 3C industry (computers, communication and consumer electronics) in Taiwan were surveyed, and the statistical methods of hierarchical and moderated regression were used to examine the relationships among institutional pressures, commitment of resources and returns management.

Institutional pressures, comprising non-market and market pressures, affect the implementation of returns management (product return practices and product recovery practices). Commitments of resources positively and significantly moderate the relationship between the pressures imposed by non-market and market actors and product return practices and product recovery practices.

This study investigates only the factors that drive returns management. Future research can examine the relationship between the antecedents and consequences of returns management. Furthermore, returns management may become increasingly critical for firms to develop and perform corporate social responsibility (CSR). Therefore, future research can investigate the relationship between CSR practices and returns management.

This research suggests that managers under institutional pressures should continually pay attention to the effects of external factors on returns management. Additionally, the results reveal that a commitment of resources can reinforce the relationship between the pressures imposed by non-market and market actors and the implementation of returns management. Under significant institutional pressures and resource constraints, managers may increase the effectiveness of returns management while attending to the concerns of non-market and market actors.

This study presents a model that considers three major explicative variables: institutional pressures, resources commitment and returns management. It is the first investigation to integrate three streams of literature on institutional theory, the resource-based view and returns management.

Little research has been conducted on the internal factors that drive green product (GP) innovation and how family influence affects firm adoption of GP innovation. This study aims to apply multiple perspectives to bridge this research gap, adopting the resource-based view (RBV) to examine what and how internal factors affect firm adoption of GP innovation, and using the behavioral theory of family firms to investigate whether family influence fosters or hinders firm adoption of GP innovation.

This study used a multichannel approach and adopted content analysis to collect and evaluate data on listed Taiwanese firms and used cross-sectional regression analysis to examine the effect of internal factors and family influence on firm adoption of GP innovation.

The results showed that the internal factors of green capabilities, R&D intensity and firm size significantly and positively affected firm adoption of GP innovation separately. Furthermore, the study found that family influence (ownership and control) significantly and negatively affects firm adoption of GP innovation separately.

This study contributes to the academic research of innovation management, green management and family firms in several aspects, but also has some limitations. This study examined only the relationship between a firm’s internal factors and GP innovation. Future research might test the relationship between a firm’s internal factors and adoption of green process innovation. In addition, such research can explore how integrated internal and external factors influence firm adoption of GP innovation.

From the RBV, the internal factors of green capabilities, R&D intensity and firm size that can exert crucial effects on firm engage in firm’s adoption of GP innovation. This study suggests that top managers in family-influenced businesses should maintain appropriate commitment and support for fostering and facilitating firm GP innovation.

From the RBV, this study examined how internal factors affect firm adoption of GP innovation. Moreover, based on the behavioral theory of family firms, this study further examined how family influence (ownership and control) affects firm adoption of GP innovation. This paper extended both perspectives to examine green issues.

From the RBV, this study examined how internal factors affect firms’ GP innovation. Moreover, based on institutional theory, this study further examines how a family firm moderates the relationship between a firm’s internal factors and GP innovation. The paper extended both perspectives to probe further the green issues.

This study examined how proactive environmental management affects firm performance and whether a controlling family moderates this effect. The paper aims to discuss these issues.

The study adopted content analysis to collect data on listed Taiwanese firms and used cross-sectional regression analysis to examine the relationship between proactive environmental management and firm performance as well as the moderating role of a controlling family.

The results indicated that not all types of proactive environmental management are positively associated with firm performance and that a controlling family might be more effective in low-risk proactive environmental management practices.

The focus was on the impact of proactive environmental management from the perspective of stockholders. Future research could investigate its impact on other stakeholders as well.

The findings might convince managers that the stereotype of an environment-friendly firm – that the more its green initiatives, the less competitive it becomes – may not necessarily be true. Investing in product-focused pollution prevention could increase revenues and improve performance. Even though process-focused pollution prevention is negatively associated with firm performance, companies are not expected to reduce investment in green processes since they are required for the production of environment-friendly products.

This study adopted a multi-dimensional approach to reveal how different types of proactive environmental management affect firm performance. The authors used the controlling family as a moderating variable to determine whether it moderates the relationship between proactive environmental management and firm performance.

The purpose of this study is to draw on several perspectives rarely used in reverse logistics (RL) research – such as sustainable development, the natural resource-based view and green innovation – to examine the relationship between RL innovation and environmental and economic performance while incorporating institutional theory to verify how institutional pressures moderate these relationships.

A questionnaire survey is used to investigate Taiwan's electrical, electronic and information industries, as well as maintenance and retail stores selling computers, communications and consumer electronics. First, a hierarchical regression analysis is used. Next, moderating relationships are examined along with the related regulatory, competitor and customer pressures.

The results indicate that RL innovation is positively associated with environmental and economic performance. Moreover, three institutional pressures positively moderated the relationships between RL innovation and environmental performance. However, investment in greater RL innovation under higher-level institutional pressures did not always enhance economic performance.

Reverse logistics innovation comprises five components, one of which is cross-functional integration, the process of obtaining information from marketing, production and logistics managers about how their firms created the marketing-operations interface to better handle RL. However, we obtained RL innovation information only from individual respondents. In addition, this study focuses on the economic and environmental aspects of RL activities. Future studies should apply the RL perspective on social sustainability to probe RL issues from sustainability's environmental, social and economic points of views.

Contrary to the conventional wisdom that RL imposes costs, reduces productivity and curbs competitiveness, this study finds that RL innovation can enrich environmental and economic performances, indicating that firms with more innovative RL capabilities yield more sustainable outcomes for environmental protection, social responsibility and economic performance.

This study contributes to the RL literature by applying multiple perspectives – including sustainable development, the natural resource-based view and green innovation – to explore the relationship between RL innovation and performance while using institutional theory to probe the moderating effects of institutional pressures on RL innovation and performance.

This paper aims to attempt to explore the influence of network position on innovation performance, specifically for companies from a less-developed area in China.

The paper uses a social network analysis method based on the data of high and new tech companies from Jiangxi province, China. It relies on Ucinet 6.212 software for data processing.

The present work, on the one hand, reveals that a high and new tech company from Jiangxi province tends to achieve better innovation performances if it is in the central position of its social network. On the other hand, it indicates that the same type of company from the same area does not always accomplish better innovation performance, even it possesses more structural holes.

The conclusions of this paper suggest that a high and new tech company from a less-developed area in China should build up its position closer to the center when constructing a social network. Meanwhile, the company should also exert more effort into managing its networks, as only building structural holes offers little help with operations besides showing that it has a broad social network.

Process mining tools can help discover and improve the business processes of urban community services from historical service event records. However, for the community service domains with small datasets, the effects of process mining are generally limited due to process incompleteness and data noise. In this paper, a cross-domain knowledge transfer method is proposed to help service process discovery with small datasets by making use of rich knowledge in similar domains with large datasets.

First, ontology modeling is used to reduce the effects of cross-domain semantic ambiguity on knowledge transfer. Second, association rules (of the activities in the service processes) are extracted with Bayesian network. Third, applicable association rules are retrieved using an applicability assignment function. Further, the retrieved association rules in domains with large datasets are mapped to those with a small dataset using a linear programming method, with a heuristic miner being adopted to generate the process model.

The proposed method is verified based on the empirical data of 10 service domains from Beidaihe, China. Results show that process discovery performance of all 10 domains were improved with the overall robustness score, precision, recall and F1 score increased by 13%, 13%, 17% and 15%, respectively. For the domains with only small datasets, the cross-domain knowledge transfer method outperforms popular state-of-the art methods.

The limitations of sample sizes are greatly reduced. This scheme can be followed to establish business process management systems of community services with reasonable performance and limited sample sizes.

The purpose of this paper is to draw on triadic reciprocal determinism and social exchange theory to examine how “induced-type” and “compulsory-type” union participation influence union commitment and job involvement, and how union participation in the west differs from that in China. It also examines whether the role of both organizational justice and employee participation climate (EPC) functions in the Chinese context.

Cross-sectional data are collected from 694 employees in 46 non-publicly owned enterprises, both Chinese and foreign, in the Pearl River Delta region of China. A multi-level moderated mediation test is used to examine the model of this research.

Union participation is positively related to organizational justice, union commitment and job involvement. In addition, organizational justice acts as the mediator among union participation, union commitment and job involvement. Specifically, the mediating role of organizational justice between union participation and union commitment, and between union participation and job involvement, is stronger in high-EPC contexts than low-EPC contexts.

Instead of examining the impacts of attitudes on union participation, as per most studies in the western context, this research examines the impacts of union participation in the Chinese context on attitudes, including union commitment and job involvement. It also reveals the role of both organizational justice and EPC in the process through which union participation influences union commitment and job involvement.

Drawing on the resource-based view and institutional theory, this study explores how firms select export channels to realise the value of their product development capabilities (PDC) and improve export performance by aligning PDC, entrepreneurial orientation (EO), cultural-cognitive institutional distance (CCID) and channel selection.

This study adopted a quantitative design and used data collected from multiple respondents in 294 Chinese exporting ventures. Hypotheses were tested using logistic regression analysis and multiple regression analysis.

The results of the study suggest that PDC plays a vital role in export channel decisions. The results also show that there is a three-way interaction between PDC, EO and CCID regarding export channel selection. More importantly, this study suggests that firms using export channels that align with PDC, contingent on EO and CCID, generate superior export performance.

This study extends the export channel literature by looking at the different roles of important organisational capabilities (i.e. PDC and EO) on export channel selection. Further, it shows that firms need to align the exploitation of their PDC with the export channel selection, along with EO capabilities, and CCID to achieve better performance in the export market.

This study aimed to explore the relationship between job insecurity and unsafe behaviour in human–machine collaboration, as well as investigating the mediating roles of emotional exhaustion and moderating roles of psychological detachment.

The authors followed the stressor-detachment model to build our research model. The authors selected manufacturing and service industry employees as samples, and designed three independent studies using the time-lagged method for SPSS and AMOS to test the hypotheses.

The results indicated that emotional exhaustion mediated the relationship between the two types of job insecurity and unsafe behaviours among service industry employees, while psychological detachment moderated the effect of qualitative job insecurity on emotional exhaustion. In manufacturing, psychological detachment moderated the effect of quantitative job insecurity on emotional exhaustion, while emotional exhaustion mediated the relationship between quantitative job insecurity and unsafe behaviours.

The authors enhance understandings of how individual employee characteristics and the work environment jointly influence employees' levels of emotional exhaustion and likelihood of engaging in unsafe behaviours under the stressor-detachment model.

The authors suggest an important role of psychological detachment in human–machine collaboration. The authors also that organisations and managers could encourage employees not to check work-related emails on weekends to achieve full detachment.

This study contributes to both the stressor-detachment model and job insecurity literature. In addition, it investigates the role of detachment and emotional exhaustion by employees in human–machine collaboration.