Jiafu Su
Hanyang University · 経営学
研究室紹介
Professor Jiafu Su's research lab specializes in sustainable supply chain management, green innovation, and environmental governance, with a strong focus on integrating environmental objectives into enterprise decision-making and supply chain operations. The lab investigates knowledge diffusion in R&D networks, green closed-loop supply chains, and the behavioral drivers of pro-environmental actions using advanced modeling and empirical methods. Research directions include multi-objective optimization in green supply chains, internal control's role in environmental investment, and the application of fuzzy clustering and neural networks to support green product innovation. The lab emphasizes quantitative analysis, behavioral theory, and real-world applications to advance sustainable development.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15This paper investigates the issue of measuring knowledge diffusion efficiency in R&D network based on the weighted network method. For the reality of R&D networks, we integrate the node and tie weights to build a weighted R&D network model. On the basis of the weighted R&D network, the multiple factors of knowledge diffusion efficiency are analyzed, and then a novel measurement method is proposed by comprehensively embodying these factors. Furthermore, an extended application of the measurement
Taking an environment-friendly green closed-loop supply chain as the research object, this work established a two-stage closed-loop supply chain game model. Considering the influence of the environmental protection input on the whole supply chain, there are different decisions among the participants in the supply chain, and the different choices will have impacts on the benefits of the whole supply chain when manufacturers select a closed-loop supply chain model of third-party recycling. Hence,
Residents' behavior is the result of the combined effect of external environment factors and internal psychological factors. Based on the theory of planned behavior (TPB) and the attitude-behavior-condition (ABC) theory, this study aims to explore the impact of policy support on residents' psychological factors and proenvironmental behavior. This study developed an extended TPB and ABC model and replaced the behavioral intention in the TPB model with implementation intentions to enhance the abil
As an important measure of enterprise governance, internal control can enhance the organizational rationality of the enterprise, ensure that the enterprise consciously assumes social responsibility for the protection of the natural environment and resources, and promote the sustainable development of the national economy. Using data from China's A-share heavy pollution industry listed companies from 2009 to 2018, this study explored the relationships among internal control quality, enterprise en
For enterprise, how to quickly realize the selection of green innovative design projects has become a key issue for improving innovation performance. Based on an analysis of enterprise product innovation and customer green preferences, an indicator set for innovation performance in enterprise was established. Considering the fuzziness of the correlation between indicators for innovation performance in enterprise and consumer’s green preferences, a fuzzy clustering method was used to identify the
Whether the upstream and downstream members in a supply chain (considering environmental objectives) simultaneously stabilize economic benefits has become an important problem in the process of green development. However, few quantitative studies on green supply chains have considered environmental and economic benefits to realize multi-objective optimization. To study operation and cooperation strategies with a consideration of the different objective on the level of supply chain, we first esta
Purpose The vulnerability of multinational corporation (MNC) knowledge network is one of the major causes for the failure and even the death of MNCs in the fierce global market competition. Employee turnover and knowledge loss are the triggers for the MNC knowledge network vulnerability and a matter of serious concern in the evolution and development of MNC knowledge network. The purpose of this work is to propose a valid and quantitative measurement method to investigate the influence of employ
In this study, we examined the contract coordination between manufacturers with peer-induced and distributional fairness concerns. A revenue sharing contract was introduced to coordinate a competitive supply chain, in which the manufacturers have different fairness concerns based on centralized decision-making in terms of fairness neutrality. Then, we constructed two game models—the manufacturer’s peer-induced fairness concern model and the manufacturer’s distributional fairness concern model an
Solution selection plays an important role in crowdsourcing and is an imperative work for requesters. However, to the best of our knowledge, there is few studies focus on the problem of solution selection, especially in crowdsourcing contests for innovative tasks. This paper aims to develop a methodology incorporating quality function deployment (QFD) with 2-tuple linguistic method to assist requesters to select the right solution from a large pool of potential solutions efficiently. The methodo
In a closed-loop supply chain for electronic products, the manufacturer’s priority is to enhance the residual value of the collected end-of-use product and decide whether to outsource this business to a retailer, a third-party service, or retain it exclusively. In this paper, we constructed three models to study the decision mechanism in a closed-loop supply chain, with different players selected to collect the used product. By comparing the three models, we characterized the conditions under wh
Sewage treatment and reuse have always been hot issues in both the business and academic communities in all nations around the world. In order to solve the difficulties in accurate quantization and objective evaluation of industrial sewage treatment projects, this paper proposed a comprehensive industrial sewage treatment project evaluation method based on the improved entropy–TOPSIS method. First, this paper constructed an evaluation indicator system for sewage treatment projects from the four