Humanities&Social Sciences

BIT Publishes Latest Research Results on Journal of Operations Management , a Journal Listed in UTD24 and FT50

  Recently, the research result Green Supply Chain Management in Chinese Firms: Innovative Measures and the Moderating Role of Quick Response Technology  in cooperation between Professor Li Guo (first author) and Dr. Li Lin of the School of Management and Economics of Beijing Institute of Technology, etc., is published online in the Journal of Operations Management, an international top management journal. The research results were completed by the team led by Professor Li Guo in collaboration with Professor Tsan-Ming Choi of Hong Kong Polytechnic University and Professor Suresh P. Sethi of the University of Texas at Dallas.

  Study of classical supply chain management indicates that cost control is an important means to improve the performance of supply chain operations. However, as the concept of sustainable development continues to gain popularity, is the cost factor still a major obstacle for companies to practice green supply chain management? By combining empirical data from Chinese companies, Professor Li Guo's team at Beijing Institute of Technology was the first to reveal that different from traditional supply chain management, the key to improving the performance of green supply chain management is the external demand side. In order to effectively improve the performance level of green supply chain management, companies should focus on market factors on the external demand side rather than cost control on the internal supply side. The study further pointed out that strengthening the environmental awareness of demand-side consumers will not only promote the improvement of corporate’s environmental performance, but also improve corporate’s economic and operational performance. The study also found that rapid response technology reduces the negative impact of internal practices on economic performance. Therefore, while the government issues policies to guide enterprises, it is more necessary to take measures to further promote the concept of environmental protection markets. Companies should actively adopt green supply chain management practices and introduce rapid response technologies to reduce related negative effects. This research enriched and improved the theoretical system of balance between both the supply and demand sides in supply chain management research, provided quantitative decision basis and management support for Chinese enterprises to further improve the level of green supply chain management. It is also an positive response in the basic national policy of Comrade Xi Jinping in the report of the 19th National Congress of the Communist Party of China: "To uphold the harmonious coexistence of man and nature, we must establish and practice the concept that green mountains and green mountains are the golden mountains and the silver mountains, and we must save resources and protect the environment.".

  Journal of Operations Management (JOM) is one of the top 24 academic journals (UTD 24) selected by the University of Texas at Dallas. It is a top journal in the field of international operations management. It enjoys a high academic reputation in the international management academia and publishes less than 50 papers each year. The UTD24 list covers the majors of general university business schools and is widely recognized by universities in the world, and generally used as the main basis for business school rankings, professional title promotion, and evaluation of various projects and talent programs. This list is also an important reference condition for the selection of important talents projects such as the Management Science Department of the National Natural Science Foundation of China and the Management Discipline of the Ministry of Education. Also, JOM is also one of the top 50 business school journals (FT50) identified by the Financial Times. FT50 is an important basis for the Financial Times ranking of business schools. JOM is also a 4 * -grade journal selected by the British Business School Association (ABS) (the most difficult), a journal searched by both SCI and SSCI.

  Article link:

  Guo Li, Lin Li, Tsan-Ming Choi, Suresh P. Sethi. Green Supply Chain Management in Chinese Firms: Innovative Measures and the Moderating Role of Quick Response Technology. Journal of Operations Management. 2019, Doi: 10.1002/joom.1061.


About the author:

  Li Guo, a professor and doctoral tutor at the School of Management and Economics of Beijing Institute of Technology, has long been engaged in research in the fields of operation management, marketing and operations interdisciplinary, big data-driven decision management, green supply chain and logistics management, he serves as associate editor-in-chief of the International Journal of Advanced Pervasive and Ubiquitous Computing, executive director of Intelligent Decision and Game Branch of Chinese Society of Optimization, Overall Planning and Economical Mathematics, member of Industrial Engineering Committee and member of Economic and Management System Committee of China Association of Automation. He serves as a member of the editorial review committee of Production and Operations Management, a top-tier UTD24 journal, and Transportation Research Part E, an internationally renowned journal in the field of operations management: a guest management editor at Logistics and Transportation Review and Annals of Operations Research, he has been a reviewer for more than 30 SCI / SSCI journal sources such as Production and Operations Management, Decision Sciences, European Journal of Operational Research, Omega, Annals of Operations Research, International Journal of Production Economics, etc. He has published more than 50 papers and published 2 monographs,among which, more than 40 papers in top / important journals such as the International Journal of Production Economics, Journal of Operations Management, Decision Sciences, European Journal of Operational Research, Annals of Operations Research. In 2013, he was selected in the "Beijing Youth Talent Program" and won the Outstanding Instructor Award of the 3rd Beijing Contest on Logistics Design by University Students.