Application of Blockchain Technology in Green Supply Chain

Authors

  • Li Dai

DOI:

https://doi.org/10.54097/axtxfv59

Abstract

Consumer awareness of green environmental protection is the main driving force for manufacturers to produce green products, cultivate consumers' environment-friendly consumption concept, improve consumers' green preference, and actively guide consumers to buy green and low-carbon products. Green trust is an important factor leading consumers to buy green products, the application of blockchain technology can improve the transparency of green information, maintain the green brand image, and then enhance green trust, increase the sales of green products.

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References

Ye Qiang, Gao Transcendence, and Jiang Guangxin. Design of China's future blockchain carbon market system under big data environment [J]. Management World, 2022, 38(01): 229-249.]

Zhang Lihao, Dong Fa, Zhang Rong. Supply chain strategy selection based on carbon cap-and-trade and emission reduction technology [J]. China Management Science, 2019(1) : 63-72.]

Pricewaterhousecoopers. "Global Consumer Insight Survey 2022" China Report - Insight into the new retail Landscape, Exploring new growth paths [EB/OL]. (2022-09-15) [2023-03-13]. https://www.pwccn.com/zh/industries/retail-and-consumer/publications/2022-global-consumer-insights-survey-china-report-s ep2022.

Wu Kai-lan, Liu Ming-Wu, Xu Mo-Zeng. Misreporting and coordination strategies of suppliers' emission reduction investment under different leading forces [J]. Journal of Systems Management, 29(4): 12.]

Gil M T, Jacob J. The relationship between green perceived quality and green purchase intention: a three-path mediation approach using green satisfaction and green trust[J]. International Journal of Business Innovation and Research, 2018, 15(3): 301-319.

Puthal D, Malik N, Mohanty S P, et al. The blockchain as a decentralized security framework [future directions] [J]. IEEE Consumer Electronics Magazine, 2018, 7(2): 18-21.

Babich V, Hilary G. OM Forum—Distributed Ledgers and Operations: What Operations Management Researchers Should Know About Blockchain Technology[J]. Manufacturing & Service Operations Management, 2020, 22(2): 223–240.

Li Dongdong, Yang Jingyu. Research on optimal technology policy choice based on emission reduction framework. Operations Research and Management, 2017, 026(002): 9-16,83.]

Lin Xi, Zhang Ziwei. "Blockchain + Production" to Promote Enterprises' Green Production -- New Thinking on the Hand of Government [J]. Economics Dynamics, 2019(05): 42-56.]

Song Y, Liu J, Zhang W, et al. Blockchain’s role in e-commerce sellers’ decision-making on information disclosure under competition[J]. Annals of Operations Research, 2022: 1-40.

Wang H, Zhang M, Ying H, et al. The impact of blockchain technology on consumer behavior: a multimethod study[J]. Journal of Management Analytics, 2021, 8(3): 371-390.

Kouhizadeh M, Sarkis J. Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains[J]. Sustainability, 2018, 10(10): 1-16.

Jingdong number. "the jingdong block chain technology practice, the white paper" [EB/OL]. (2020-03-22) [2023-03-13]. https://storage.jd.com/jd.block.chain/2020 jingdong block chain technology practice, the white paper.

Pan Yan-Fang. Research on Low-carbon Supply Chain Decision-making and Coordination under Equity Concerns [D]. Beijing Jiaotong University, 2018.

[Chen S. Research on Supply chain operation Strategy considering consumers' low-carbon preference [D]. Chongqing University, 2019.]

Ye Tong, Guan Zhimin, Tao Jin, Qu You. Dynamic optimization and coordination of joint emission reduction in supply chain considering low carbon preference of consumers and reference low carbon level effect [J]. China Management Science, 2017, 25(10): 52-61.

Xiaoyan Wang, Minggao Xue, Lu Xing. Analysis of Carbon Emission Reduction in a Dual-Channel Supply Chain with Cap-And-Trade Regulation and Low-Carbon Preference[J]. Sustainability, 2018, 10(3):580.

Sun L, Cao X, Alharthi M, et al. Carbon emission transfer strategies in supply chain with lag time of emission reduction technologies and low-carbon preference of consumers[J]. Journal of Cleaner Production, 2020, 264: 121664.

Lou Gaoxiang, Zhang Jieqiong, Fan Tijun, Zhou Weixing. Investment strategy and incentive mechanism of supply chain emission reduction under asymmetric information [J]. Journal of Management Science, 2016, 19(02): 42-52.]

Fan R, Lin J, Zhu K. Study of game models and the complex dynamics of a low-carbon supply chain with an altruistic retailer under consumers’ low-carbon preference[J]. Physica A: Statistical Mechanics and its Applications, 2019, 528: 121460.

Huang Zuqing, Jiang Lianjie, Meng Lijun. Research on optimal decision-making mechanism considering consumer preference under supply chain competition. Industrial Engineering and Management, 2020, 25(06): 71-79.]

Sun Jiannan, Xiao Zhongdong. Research on emission reduction strategy of low-carbon supply chain considering double preference of consumers. China Management Science, 2018, 26(4):49-56.]

Chen Y S. The drivers of green brand equity: Green brand image, green satisfaction, and green trust[J]. Journal of Business ethics, 2010, 93(2): 307-319.

] Chen Y H , Hsu I C , Lin C C . Website attributes that increase consumer purchase intention: A conjoint analysis[J]. Journal of Business Research, 2010, 63(9-10):1007-1014.

Suhartanto D, Kartikasari A, Hapsari R, et al. Predicting young customers’ intention to repurchase green plastic products: incorporating trust model into purchase intention model[J]. Journal of Asia Business Studies, 2021,15(3): 441-456.

Wasaya A, Saleem M A, Ahmad J, et al. Impact of Green trust and green perceived quality on green purchase intentions: A moderation study[J]. Environment, Development and Sustainability, 2021: 1-18.

Dhir A, Sadiq M, Talwar S, et al. Why do retail consumers buy green apparel? A knowledge-attitude behaviour- context perspective[J]. Journal of Retailing and Consumer Services, 2021, 59: 102398.

Li G X, Yang L F, Zhang B J, et al. How do environmental values impact green product purchase intention? The moderating role of green trust[J]. Environmental science and pollution research international, 2021, 28(33) : 46020-46034.

Sheng Guanghua, Xie Fang. A study on the psychological characteristics of Chinese consumers' green purchasing behavior [J]. Social Science Front, 2019(03): 74-82.]

Lin Qiang, Liu Mingwu, Wang Xiaofei. Embedded block chain information transfer function of the green supply chain decision [J/OL]. Computer integrated manufacturing system. http://kns.cnki.net/kcms/detail/11.5946.tp.20211006.1222.006.html.

Cao Yu, Hu Hanli, Li Qingsong. Study on Environmental Labeling Strategy Selection of Green supply chain under cost-sharing contract [J/OL]. Chinese management science. https://doi.org/10.16381/j.cnki.issn1003-207x.2019.1026.

Li Jian, Yi LAN, Xiao Yao. Research on information sharing mechanism of supply chain emission reduction driven by blockchain under information asymmetry [J]. China Management Science, 2021, 29(10): 131-139.

Lin Xi, Zhang Ziwei. "Blockchain + Production" to Promote Enterprises' Green Production -- New Thinking on the Hand of Government [J]. Economics Dynamics, 2019(05):42-56.]

Yao Fengmin, Yan Yingluo, Wang Yufei et al.] E-commerce supply chain sales Model and blockchain application decision considering consumers' doubts [J/OL]. Control and decision, 1-9 [2023-12-14] HTTP: / / https://doi.org/10.13195/j.kzyjc. 2023. 0615.

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Published

05-03-2024

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Articles

How to Cite

Dai, L. (2024). Application of Blockchain Technology in Green Supply Chain. Frontiers in Business, Economics and Management, 13(3), 132-136. https://doi.org/10.54097/axtxfv59