Digitalization drives green transformation of supply chains: a two-stage evolutionary game analysis

被引:32
作者
Fan, Wei [1 ]
Wu, Xinhang [2 ]
He, Qizhi [3 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Econ, Chengdu 611130, Peoples R China
[2] Southwestern Univ Finance & Econ, Sch Stat, Chengdu 611130, Peoples R China
[3] Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China
关键词
Digitalization; Supply chain; Green transformation; Evolutionary game; Strategy choice; IMPACT; STRATEGIES; MANAGEMENT; INNOVATION; FRAMEWORK; SUBSIDIES;
D O I
10.1007/s10479-024-06050-0
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Digitalization promotes green transformation of the supply chain by enhancing green innovation, reducing enterprise costs, and strengthening management models. This study develops a two-stage evolutionary game model to analyze the tripartite game between government, enterprises, and consumers regarding green supply chain transformation, as well as the strategic choices of digital cooperation between upstream and downstream enterprises in the supply chain. The results reveal that under the given constraints, the green behaviors of government and consumers can encourage supply chain enterprises to achieve better green transformation. In addition, digitalization enables enterprises positioned at different supply chain links (upstream and downstream) to form a "cooperative" steady state by increasing sales and reducing costs, thus rapidly achieving green transformation. The findings can offer policies to empower digital construction in enterprises.
引用
收藏
页数:20
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共 58 条
[1]   Sustainable buyer-supplier relationship capability development: a relational framework and visualization methodology [J].
Bai, Chunguang ;
Kusi-Sarpong, Simonov ;
Khan, Sharfuddin Ahmed ;
Vazquez-Brust, Diego .
ANNALS OF OPERATIONS RESEARCH, 2021, 304 (1-2) :1-34
[2]   The impacts of government R&D subsidies on green innovation: Evidence from Chinese energy-intensive firms [J].
Bai, Yu ;
Song, Siyi ;
Jiao, Jianling ;
Yang, Ranran .
JOURNAL OF CLEANER PRODUCTION, 2019, 233 (819-829) :819-829
[3]   A decision framework for the analysis of green supply chain contracts: An evolutionary game approach [J].
Barari, Sikhar ;
Agarwal, Gaurav ;
Zhang, W. J. ;
Mahanty, Biswajit ;
Tiwari, M. K. .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (03) :2965-2976
[4]   Big data analytics capability in healthcare operations and supply chain management: the role of green process innovation [J].
Benzidia, Smail ;
Bentahar, Omar ;
Husson, Julien ;
Makaoui, Naouel .
ANNALS OF OPERATIONS RESEARCH, 2024, 333 (2-3) :1077-1101
[5]   The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance [J].
Benzidia, Smail ;
Makaoui, Naouel ;
Bentahar, Omar .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 165
[6]   Internet of Things - the future of managing supply chain risks [J].
Birkel, Hendrik Sebastian ;
Hartmann, Evi .
SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 2020, 25 (05) :535-548
[7]   From innovation to co-innovation? An exploration of African agrifood chains [J].
Bitzer, Verena ;
Bijman, Jos .
BRITISH FOOD JOURNAL, 2015, 117 (08) :2182-2199
[8]   Quantitative models for sustainable supply chain management: Developments and directions [J].
Brandenburg, Marcus ;
Govindan, Kannan ;
Sarkis, Joseph ;
Seuring, Stefan .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2014, 233 (02) :299-312
[9]   Digital Supply Chain: Literature review and a proposed framework for future research [J].
Buyukozkan, Gulcin ;
Gocer, Fethullah .
COMPUTERS IN INDUSTRY, 2018, 97 :157-177
[10]   Cooperative strategy in supply chain networks [J].
Chang, Cheng-Wen ;
Chiang, David M. ;
Pai, Fan-Yun .
INDUSTRIAL MARKETING MANAGEMENT, 2012, 41 (07) :1114-1124