Adoption of blockchain considering platform’s information sharing and service effort under the cap-and-trade scheme

Abstract

We consider a manufacturer and an e-platform where the manufacturer sells products through offline and e-platform channels under the cap-and-trade scheme. The interaction between the two channels produces the cross-channel effect (CCE). This manufacturer cooperates with the e-platform in the agency or reseller mode. In addition, the platform shares its observed data with the manufacturer and the blockchain can achieve traceability and high transparency of these data. We formulate a Stackelberg game to derive the following results: In the agency mode, the optimal service level is independent of (decreases with) CCE without (with) blockchain. CCE positively affects the optimal service level in the reseller mode and the optimal service level has no impact on (increases with) the cap in the agency (reseller) mode. Second, when the platform-enabled power is high (low), the platform is (not) willing to adopt blockchain. Third, coordination of the manufacturer and platform only can be achieved in the agency mode when CCE is low with blockchain. The reseller mode can (cannot) achieve coordination of the two firms with (without) blockchain. We also consider the cases where the manufacturer serves as the leader and the omni-channel strategy is adopted to check the robustness of the coordination results.

KEYWORDS:

• Agency mode
• blockchain
• online platform
• reseller mode
• cross-channel effect

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

Data sharing is not applicable to this article as no new data were created or analysed in this study.

Notes

1 https://baijiahao.baidu.com/s?id=1735990718399801855&wfr=spider&for=pc.

2 https://baijiahao.baidu.com/s?id=1702508176899098486&wfr=spider&for=pc.

3 https://www.sohu.com/a/275362648_120009959.

4 https://baijiahao.baidu.com/s?id=1691213942618068887&wfr=spider&for=pc.

5 https://baijiahao.baidu.com/s?id=1686138228263234826&wfr=spider&for=pc.

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7 https://www.workercn.cn/c/2023-04-22/7812606.shtml.

8 http://tech.sina.com.cn/i/2015-08-06/doc-ifxftkpe2665245.shtml.

9 http://baijiahao.baidu.com/s?id=1682585678851539943&wfr=spider&for=pc.

Additional information

Funding

This work was supported in part by grants from the National Natural Science Foundation of China [Nos. 72171001, 71801211, 719210 and 72091210]; Excellent Youth Research Project of Universities in Anhui Province [2022AH030005]; the Project of Leading Talent of Anhui Province [No. S020218015], the Key Project of the Education Department of Anhui Province [No. SK 2020A0041].

Notes on contributors

Xiaoping Xu

Xiaoping Xu received his Ph.D. from University of Science and Technology China, Hefei, China, in 2015. He is currently a professor at the Anhui University. His research interests mainly focus on green supply chain management, and platform-based operations management. He has published over 30 papers in journals, such as the European Journal of Operational Research, Omega-International Journal of Management Science, International Journal of Production Economics, International Journal of Production Research, Transportation Research-Part E: Logistics and Transportation Review, and so on. He is currently the associate editor of Modern Supply Chain Research and Applications.

Xinyang Chen

Xinyang Chen is studying for her Master’s degree at Anhui University. Her research interests mainly focus on platform-based operations management.

Jiahao Chen

Jiahao Chen is studying for her Master’s degree at Anhui University. Her research interests mainly focus on platform-based operations management.

T. C. E. Cheng

T.C. Edwin Cheng is Dean of PolyU Business School, Fung Yiu King-Wing Hang Bank Professor in Business Administration, and Chair Professor of Management at The Hong Kong Polytechnic University. He obtained a B.Sc.[Eng] (first class honours) from the University of Hong Kong; an M.Sc. from the University of Birmingham, U.K.; and a Ph.D. and an Sc.D. from the University of Cambridge, U.K. He has previously taught in Canada, England, and Singapore. Prof. Cheng’s research interests are in Operations Management and Operations Research. He has published over 980 SCI/SSCI papers in such journals as California Management Review, Journal of Operations Management, Management Science, MIS Quarterly, Operations Research, Organization Science, and Production and Operations Management. He has co-authored 16 books published by Chapman and Hall, McGraw-Hill, and Springer. He received the Outstanding Young Engineer of the Year Award from the Institute of Industrial Engineers, U.S.A., in 1992 and the Croucher Award (the top research award in Hong Kong) in 2001. He was elected Academician of The International Academy for Systems and Cybernetic Sciences in 2016 and Fellow of Hong Kong Academy of Engineering Sciences in 2018. According to Google Scholar, he has received over 55,000 citations and his h-index is 108. A registered professional engineer and a seasoned management consultant, Prof. Cheng has over the years secured more than HK$50 million in research funding from both public and private sectors to support his diverse research programmes.

Yugang Yu

Yugang Yu received the B.S. degree in mechanical engineering from Hefei University, Hefei, P.R. China, in 1996 and the Ph.D. degree in management science and engineering from the University of Science and Technology of China, Hefei, P.R. China, in 2003. From 2003 to 2004, he was a Research Assistant with the Department of Manufacturing and Systems Engineering, University of Hong Kong. He was a Postdoctoral Researcher with the National Institute of Information Science and Technology, France. From 2006 to 2012, he was an Assistant Professor in Rotterdam School of Management, Erasmus University, Netherlands. Since 2012, he has been the Professor of Logistics and Operations Management in the University of Science and Technology of China. He is the Executive Dean of the School of Management, and the Dean of the International Institute of Finance, University of Science and Technology of China. His research interests include data-driven research on operations management, intelligent logistics, autonomous warehousing and inventory management, platform-based operations management and supply chain finance. Prof. Yu’s awards and honours include the Most Cited Chinese Researchers by Elsevier from 2014 to 2019, the INFORMS Fellowship, The First Prize of the 8th Academy’s Scientific Research Outstanding Achievement Award by Ministry of Education in China (2019), the Theoretical Contribution Award by Systems Engineering Society of China (2016), the Distinguished Professor of the Changjiang Scholars by the Ministry of Education in China (2015), the First Prize of Science and Technology Progress Award by China Federation of Logistics and Purchasing (2015), the Best Application Paper Award by IEEE (2013) and the Featured Article Award by IIE (2012).

Samuel Shuai Liu

Shuai Liu received the Ph.D. degree from Beijing Jiaotong University, Beijing, China in 2022. He is currently a postdoctoral fellow at The Hong Kong Polytechnic University. His research interests include operations management, supply chain management, and theories and methods of smart logistics. He has authored/coauthored papers in journals such as Production and Operations Management, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Research, etc.