商业智能作为大数据分析在逆向供应链外包管理中的中介作用

Q2 Mathematics
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引用次数: 2

摘要

当今全球市场的波动和混乱状态是几个因素造成的。COVID-19就是一个例子。供应链管理者应重新评估其竞争战略,并利用大数据分析,以应对不断上升的供需波动、供应链合作伙伴之间的竞争以及提供量身定制的商品和服务(BDA)的需求。供应链公司需要复杂的BDA流程和程序来从大数据中提供有用的见解,以更好地决策和供应链运营,因为该行业的许多领导者已经认识到数据改进的必要性。”(SCO)本研究为BDA对SCO的影响提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Business Intelligence adoption as a Mediator of Big Data Analytics in the Management of Outsourced Reverse Supply Chain Operations
The fluctuating and disorganized state of todays global markets is the result of several factors. COVID-19 is an illustration. Supply chain managers should re-evaluate their competitive strategy and leverage big data analytics in light of the rising volatility in demand and supply, rivalry among supply chain partners, and the requirement to deliver tailored goods and services (BDA). Supply chain firms require sophisticated BDA processes and procedures to provide useful insights from big data to better decision-making and supply chain operations, as many leaders in the sector have acknowledged the necessity for improving with data" (SCO). This research gives theoretical justification for the influence that BDA has on SCO.
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来源期刊
Applied Mathematics & Information Sciences
Applied Mathematics & Information Sciences Mathematics-Numerical Analysis
CiteScore
2.10
自引率
0.00%
发文量
85
审稿时长
5.3 months
期刊介绍: Information not localized
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