Investment decision and coordination of green agri-food supply chain considering information service based on blockchain and big data

供应链 业务 投资(军事) 服务(商务) 收入分享 收入 供应链管理 大数据 环境经济学 产业组织 营销 计算机科学 经济 财务 数据挖掘 政治 政治学 法学
作者
Pan Liu,Yue Long,Haicao Song,Yandong He
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:277: 123646-123646 被引量:160
标识
DOI:10.1016/j.jclepro.2020.123646
摘要

Researches about the fusion application of Big Data and blockchain have appeared for a long time, many information service providers have launched information service business based on Big Data and blockchain (hereafter, ISBD). However, in the green agri-food area, the ISBD application does not popularized. A vital reason is that many decision makers do not know how to make an optimal investment decision and coordinate chain members after adopting ISBD. The core of this problem is to study the issue of investment decision and coordination in a green agri-food supply chain. To solve this problem, firstly, combining with the status of Chinese agricultural development, we proposed a more suitable supply chain structure in the fusion application environment of Big Data and blockchain. Then, we chose a green agri-food supply chain with one producer and one retailer as research object and revised the demand function. Afterwards, considering the changes of agri-food freshness and greenness, we built and analysed the benefit models of producer and retailer before and after using ISBD, and then a cost-sharing and revenue-sharing contract was put forward to coordinate the supply chain. Findings: 1) When the total investment cost payed by producer and retailer is in a certain range, using ISBD will help chain members gain more benefits. 2) If chain members want to gain more benefits after using ISBD, they should try their best to optimize costs by extracting valuable information. Results can offer a theoretical guidance for producer and retailer in investing in ISBD, pricing decision and supply chain coordination after applying ISBD.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小皮审完成签到,获得积分10
刚刚
1秒前
鲤鱼雪巧完成签到,获得积分10
1秒前
1秒前
小鹿完成签到,获得积分10
1秒前
1秒前
99完成签到 ,获得积分10
1秒前
研友_LMBAXn完成签到,获得积分10
2秒前
2秒前
张大拿完成签到,获得积分10
2秒前
fgfghijn完成签到,获得积分10
2秒前
3秒前
万能图书馆应助zz采纳,获得30
3秒前
二柱子完成签到 ,获得积分10
4秒前
4秒前
5秒前
5秒前
传奇3应助123采纳,获得10
5秒前
Unstoppable完成签到,获得积分10
5秒前
我爱科研完成签到,获得积分10
6秒前
Lucas应助小鹿采纳,获得10
6秒前
聚合怪发布了新的文献求助10
6秒前
7秒前
斯文败类应助内向白桃采纳,获得10
7秒前
童新安完成签到 ,获得积分10
8秒前
FashionBoy应助贾舒涵采纳,获得10
8秒前
orixero应助SILENCE采纳,获得10
9秒前
天天快乐应助yintian采纳,获得10
9秒前
10秒前
唠叨的夏烟完成签到 ,获得积分10
10秒前
10秒前
magicjerry发布了新的文献求助10
11秒前
llk发布了新的文献求助10
11秒前
Peng小糕完成签到,获得积分10
11秒前
123完成签到,获得积分10
11秒前
胡胡发布了新的文献求助10
11秒前
几丁质发布了新的文献求助10
12秒前
12秒前
平常的春天完成签到,获得积分10
13秒前
李健应助小熊采纳,获得10
14秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580176
求助须知:如何正确求助?哪些是违规求助? 9159700
关于积分的说明 19596035
捐赠科研通 7162762
什么是DOI,文献DOI怎么找? 3265819
关于科研通互助平台的介绍 2430774
邀请新用户注册赠送积分活动 2256739