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Owing to fulfill the policy of the multi‐education system in Taiwan, the government adopt the open strategy of the high level education system, the number of universities is increase drastically since the late of 20 century, so the students have a large of chances to select the institute to learning, there are many universities have already adopt the media‐teaching style of the Open and Distance Education (ODE), it enlarge the score and model of course's selection in the traditional universities, so the only multimedia‐teaching university, the National Open University (NOU) have already lose her monopoly power in the open and distance education system in Taiwan, the NOU also faced the problem that the number of students had decreased drastically during these years. In order to improve the development of the instructional media teaching and learning in the NOU, it need to change the policy of teaching and learning style in order to match the challenge for the ODE in Taiwan in the near future.

The main purpose of this study is to provide a comprehensive review and critical insights of the application of fuzzy methods in modeling, assessing and understanding the various aspects of green and sustainable supply chains (SSCs).

The present study conducts a systematic literature review (SLR) and bibliometric analysis of 252 research articles. This study employs various tools such as VOSviewer version 1.6.10, Publish or Perish, Mendeley and Excel that aid in descriptive analysis, bibliometric analysis and network visualization. These tools have been used for performing citation analysis, top authors' analysis, co-occurrence of keywords, cluster and content analysis.

The authors have divided the literature into seven application areas and discussed detailed insights. This study has observed that research in the social sustainability area, including various issues like health and safety, labor rights, discrimination, etc. is scarce. Integration of the Industry 4.0 technologies like blockchain, big data analytics, Internet of Things (IoT) with the sustainable and green supply chain (GSC) is a promising field for future research.

The authors' contribution primarily lies in providing the integrated framework which shows the changing trends in the use of fuzzy methods in the sustainability area classifying and consolidating green and sustainable supply chain management (SSCM) literature in seven major areas where fuzzy methods are predominantly applied. These areas have been obtained after the analysis of clusters and content analysis of the literature presenting key insights from the past and developing the conceptual framework for future research studies.

In this paper, the international progress of Nationally Appropriate Mitigation Actions (NAMAs), Intended Nationally Determined Contributions (INDCs), and Nationally Determined Contributions (NDCs) under the United Nations Framework Convention on Climate Change are reviewed. The content of Taiwan’s NAMAs and INDCs are also investigated, especially with reference to actions for the electricity sector. To better understand the greenhouse gas (GHG) reduction contribution from the electricity sector, this paper aims to examine challenges and solutions for implementing a carbon trading mechanism in Taiwan’s monopolistic electricity market under the newly passed Greenhouse Gases Emissions Reduction and Management Act (GHG ERMA).

Carbon reduction strategies for the electricity sector are discussed by examining and explaining Taiwan’s official documents and the law of GHG ERMA.

This study finds that market mechanisms should be utilized to allocate appropriate costs and incentives for GHG reductions to transform Taiwan into a low-carbon society.

This study identifies strategies for the electricity sector to reduce GHG emissions, especially the operation of a carbon-trading scheme under a non-liberalized electricity market.

The purpose of this paper is to investigate the effects of original equipment manufacturing suppliers’ local network embeddedness on buyers’ relative attention and joint innovation through service innovation competence.

A structural equation model was analyzed using AMOS 21 with data derived from 165 buyers in the Taiwanese electronics industry.

From the buyer perspective, suppliers with embedded network relationships in emerging markets are perceived to be service oriented and to have relative attention and joint innovation that are attractive to buyers. In addition, the findings of empirical testing conducted in this study suggest that perceived exploitative and explorative service innovation competence partially mediate the relationship between perceived network embeddedness and relative attention, while explorative service innovation competence partially mediates the influence of perceived network embeddedness on buyers’ joint innovation.

This study innovatively employed a buyer perspective to examine the servitization of manufacturing suppliers and the effects of this on the buyer–supplier relationship, providing new insights into the role of service innovation competence as well as important theoretical and managerial implications.

Original equipment manufacturing (OEM) suppliers must identify and communicate competences to ensure that they are successfully translated into competitive advantages. This study aims to explore the competence-based marketing capabilities of suppliers based on competence-based marketing view. It integrates resource-based theory and resource dependence theory to conduct a detailed evaluation of the impact of competence-based marketing capabilities on collaboration development, which is classified as either exploitative or explorative collaboration between buyers and suppliers.

The partial least squares method was used to analyse and find direct support for the authors’ hypotheses based on cross-sectional data from a sample of 116 Taiwanese OEM suppliers.

The results find no support as recent arguments that the marketing of competence would directly affect collaborative relationships in a buyer–supplier relationship. The two mediating roles of relative attention from buyers and relationship learning with buyers were confirmed. The empirical findings indicated that relative attention from buyers partially mediates the relationship between competence-based marketing capabilities and exploitative collaboration development, while relationship learning completely mediates the relationship between competence-based marketing capabilities and two-pronged collaboration development.

This study provides a thorough examination of competence-based marketing capabilities, which have attracted substantial attention from business scholars but empirical research investigating and discussing how suppliers develop new collaborations with buyers is lacking.

Life insurance salespeople are hired to pursue the best interests of life insurers on the one hand, the salespeople are also expected to pursue the best interests of customers on the other hand. However, the best interests of life insurers are not necessarily consistent with the best interests of customers. This study aims to investigate the influences of interest conflicts on the life insurance salespeople’s ethical attitude and ethical intention by focusing on the role of ethical leadership and ethical training.

Four types of interest conflicts are studied. Questionnaires are administered to a total of 757 full-time life insurance salespeople. Data analysis is performed by using analysis of variance tests and partial least squares regression.

The main results indicate that the types of interest conflicts change the life insurance salespeople’s ethical attitude and ethical intention. Moreover, ethical training could make the life insurance salespeople become more concerned about the interests of customers, but not the interests of life insurers. The results also challenge a belief that ethical leadership and ethical training will often have direct, consistent and significant impacts on the ethical attitude and ethical intention of life insurance salespeople.

Interest conflict is an important issue in the literature on financial regulation. The potential for life insurance salespeople to behave unethically has also received extensive attention by researchers. This study provides clarification of the relationships among interest conflicts, ethical leadership, ethical training and ethical decision-making of life insurance salespeople. This is the first study that analyzes the relationships. The results of this study may provide some contributions to the relevant literature.

The purpose of this paper is to examine the impact of ethical leadership on the financial professionals’ loyalty by focusing on the mediating effects of perceived psychological contract fulfillment (PPCF) and organizational identification (OI).

A questionnaire survey was used in this research.

Financial professionals in Taiwan were recruited for the sample. The results revealed that the professionals’ experiences of ethical leadership positively associated with their loyalty toward their companies. The results further showed that the PPCF and OI significantly mediated the relationship.

Few studies have examined how ethical leadership could stimulate financial professionals’ loyalty. The findings of this study may provide some implications for those involved in the practice of leadership and employee loyalty programs. On the other hand, the focus of Taiwan is unique and helps improve the generalizability of previous studies on the relationship between ethical leadership and employee identification.

This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model.

This study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysis

The findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed.

The eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model.

The eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination.

Prior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability.

This paper aims to build and empirically test a multilevel framework integrating transaction cost economics and a resource-based view into a value co-creation ecosystem perspective to explain the chain- and firm-level effects of transaction-specific investments (TSIs) on supplier performance.

This paper investigates cross-level network effects using survey data from the List of Taiwanese Central Satellite Production Systems. A total of 34 buyers (hub firms) and 106 suppliers (satellite firms) from 34 supply chains responded to the survey.

Findings confirm that individual firms’ TSIs can foster co-specificity at the supply chain level, thereby improving supply chain integration (SCI). SCI can have a positive cross-level moderating effect on the TSI–performance relationship.

These two key concepts, value co-creation and co-specificity, extend the theoretical application of transaction cost theory and the resource-based view to cross-level study by contributing to the research on the TSI–performance relationship.

This study’s framework is a counter to the buyer–supplier–supplier relationships in which each actor who may have different goals can create value jointly and share benefits from their TSIs.

Owing to high co-specificity, being embedded in a well-integrated supply chain can be a threat when the environment is turbulent; for losing strategic flexibility, co-specificity and embeddedness may result in a collective adaptation concern. High degrees of SCI may slow the reaction to environmental turbulence for both buyers and suppliers.

Individual firms’ TSIs can foster co-specificity at the supply chain level, subsequently enhancing SCI. An integrated supply chain can be a collective asset that facilitates value co-creation. Individual firms can benefit from the sharing of collective value. SCI can also increase switching costs, thus reducing the likelihood of individual firm engaging in opportunistic behavior and cost safeguarding.

This study is to reconfigure a hierarchical supply chain model utilizing databases and text files to understand future pathways due to COVID-19 pandemic has had a bullwhip effect, disrupting the global supply chain, and a mechanism is needed to address this disruptive event under pandemic uncertainties.

To address this mechanism, this study employs bibliometric analysis and text mining to reconfigure a hierarchical supply chain model under pandemic conditions and associates it with social media to conduct an intuitive visual analysis.

The current academic concerns are related to an overconcentration on risk management and a data-driven approach, generating an enormous gap between the concerns of academics and those of the public. The evidence shows that for both countries with outstanding performance and those that need improvement, the efficiency in terms of preventing the spread of the pandemic should be promoted.

This study contributes to (1) reconfiguring a hierarchical supply chain model under pandemic uncertainties and (2) bridging theory and practice by offering comparable interrelated attributes to guide post-COVID-19 strategies in the supply chain. The findings are that the supply management approach and big data are attributes that involve the concerns of world public and academics under pandemic uncertainties.