Kejing Zhang

Notice of Retraction Drivers and Implications of Service Science

This paper seeks to analyze the drivers, the objectives, and the implications of service science. Rising importance of service in world economy, growing demand for service innovation, and infusion of business, technology and people lay the foundation of service science. As a multidisciplinary field, service science brings together knowledge from diverse areas by melding technology with business processes and organization. Service science embraces new mindset: service dominant logic, which builds the philosophical foundation of service science. Service system is the theoretical foundation. To facilitate the service science education, research and application, joint efforts from business, industry, governments, and academia are challenged. A framework model of service science is built, to show the drivers, stakeholders and implications of service science.

Innovation of IT service in textile industrial clusters from the service system perspective

This paper seeks to explore the IT service innovation in textile industrial clusters viewed from service system perspective. Firstly, the current situation and challenges of China textile industrial clusters are analyzed. Secondly, the application of IT service (ERP and E-business) is studied. It is proposed that the IT enabled producer service can be used to ensure the structural upgrading of the textile industrial clusters. Moreover, IT service platform based on cloud computing and SaaS is presented to enhance the competitiveness of the textile industrial clusters, and even to change the business models.

Research of Apparel Supply Chain Management Service Platform

Information sharing is a key enabler for Apparel supply chain management. We found that service platform is useful strategy to solve issues of information sharing and integration in order to improve supply chain performance. Our research findings also suggest that there are industry-specific factors that influence information sharing. We give a framework of information system based on services. While previous studies mainly focus on why the supply chain need to sharing information, our research is try to answer how to sharing information and provide accurate and timely information for partners in supply chains and to support companies to implement their quick response strategy. This paper propose a new system model of information sharing - information service model.

Research on innovative information-flow management of e-waste recycling network based on cloud computing

E-waste recycling is one of the main issues facing the challenges of resource shortages, environmental pollution and sustainable development. This paper analyzes the e-waste take-back and recycling systems, which is considered to be a service system. With the key stakeholders and their responsibilities clarified, the analysis focuses on the information flow management of the recycling system. With multiple authorities sharing the management of systems operation, the complexity of the information flow is very high. This paper proposes an information platform, to increase the efficiency of the information flow management and the efficiency of the recycling system. Three perspectives of the platform are explained: 1) information platform; 2) SaaS based ERP system for recyclers; 3) extension of the platform to include collection platform and transaction platform of recovered material. Furthermore, the data of the platform can be applied in further data analysis and data mining, to find better way to increase the eco-efficiency of the system.

Research on producer service innovation in home-textile industrial cluster based on cloud computing platform

This paper aims to explore the cloud computing based service innovation in home textile industrial clusters, which is regarded as a service system. Firstly, the challenges facing home textile industrial clusters (industrial upgrading, structural adjustment, and brand building & management) are analyzed. Secondly, the producer services in the cluster service system are studied. Moreover, it is proposed that the producer services can be enabled and enhanced by innovated cloud platform. The presented IT service platform based on cloud computing and SaaS (Software as a Service) can help enhance the competitiveness of the textile industrial clusters, even innovating the business model.

Stackelberg game in a two-echelon supply chain under buy-back coordination contract

In this study, we analyze the full-return coordination mechanism in a two-echelon supply chain, with either supplier or retailer in dominant position. Stackelberg game models are proposed, with symmetric information and price dependent demand considered. The Nash equilibrium solution can be derived. By simulation with maple software, the model shows the relationship among the decision variables and how the decision variables influence the expected profit of supply chain members in different types of supply chain. Decision scenarios in three different types of supply chain, such as no-return, supplier-dominant full return, and retailer-dominant full return policies, are analyzed and compared. Finally, the model is applied to a numerical example. The result from the model analysis can provide decision support during buy-back coordination contracting process.

Design of Electronic Waste Recycling System in China

After years of rapid economic development, China is calling for development of a circular economy and resource recycling, to solve both the resource shortage problem and the environmental problems. Based on the analysis of the current status and the challenges of the electronic waste (e-waste) recycling in China, this paper seeks to design a financially feasible and environmentally safe e-waste recycling system. An integrated assessment model is proposed, in which the environmental, social and economic impact of recycling scenarios can be assessed simultaneously. The economic impact can be derived from an optimization model for the reverse logistics network.

Research on revenue sharing coordination contract in automobile closed-loop supply chain

Based on the closed-loop supply chain system of an automobile manufacturer and a retailer, the differential pricing model and revenue sharing contract model of the participating enterprises in vehicle closed-loop supply chain are analyzed. The double marginalization is found in the decentralized decision mode through the comparative analysis of differential pricing in centralized and decentralized decision modes. Moreover, revenue sharing contract is used to coordinate the differential pricing decisions in closed-loop supply chain. The validity of the model is proven with numerical example.

Optimization of the flow distribution of e-waste reverse logistics network based on NSGA II and TOPSIS

This paper proposes an integrated method based on multi-objective optimization (NSGA II) and multi-attribute decision making (TOPSIS) to analyze the optimal flow distribution of e-waste reverse logistics network. Within the established multi-objective model, objectives concerning economic (total profit), ecological (accumulated energy consumption) performances and loss are considered. For the multi-objective optimization problem, evolutionary algorithm-based NSGA II (improved non-dominated sorting genetic algorithm) is used to obtain Pareto optimal solutions, which constitute the decision-making matrix of multi-attribute decision making, then through the Eigenvector, combined with the subjective preferences of decision makers to determine the weight of each criteria, Finally, TOPSIS is applied to determine the most satisfactory decision point.

Research on STOF-Model-Based Innovation of E-Waste Recycling Service System

E-waste recycling is one of the main issues facing the challenges of resource shortages, environmental pollution and sustainable development. This paper analyzes the e-waste recycling systems, which is considered as a service system. Service System is the theoretical foundation of service science. In service interaction and value co-creation process of e-waste recycling system, producer services surrounding e-waste recyclers are clarified. Service innovation model STOF (Service, Technology, Organization and Finance) is applied to explore the potential innovations in e-waste recycling service system from four different perspectives, such as service, technology, organization and finance. To establish a sustainable e-waste recycling system, stakeholders should assume their responsibility and collaborate effectively concerning information flow, material flow and financial flow. Further, it is proposed that cloud platform can enable e-market for the producer services, to ensure an efficient management of the whole service system.