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A Framework of Supply Chain Strategies to achieve competitive advantage in Digital era

机译:在数字时代实现竞争优势的供应链策略框架

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Today's supply chains are becoming more competitive, complex, costly, risky and unpredictable. Usage of Information and Communications Technology (ICT), digital technology, and big data analysis develops traditional supply chains into smarter supply chains and enable effective management of future challenges in digital era. These technologies of digital era are found to achieve the basic objectives of supply chain such as, faster, cheaper and better product availability and customer reach. The digital era consists of Internet of Things (IoT), Big Data and Analytics, Interconnectivity of digital devises and it requires advanced technologies to capture, collect, store, analyze and interpret huge information. The IoT is a network of hardware, software, devices, databases, objects, sensors, and systems, all working at the service of humanity. With IoT smart devices, supply chain firms would be able to reduce the information acquisition costs. The current evolution of big data in the digital era and an appropriate analysis of this data would provide a huge benefit in terms of positive outcomes in supply chain for companies which utilize and implement them during the next decade. The data driven revolution is going to sweep the way the future business is done and the way supply chain is managed. Big data analytics (BDA), known as ‘supply chain analytics' in supply chain management can help firms gain competitive advantage and achieve the status of ‘Smart Supply Chain’. Supply chain management in Digital Era is influenced through the analysis of wide range of data available in supply chain through various sources such as i) Product Design, ii) Supply Chain Design, iii) Sourcing, iv) Production, v) Warehousing, vi) Transportation, vii) Point-of-Sale to viii) Consumer. Supply chains will be operated in a more networked manner than they are today in the digital era. Organizations need to develop new collaborative models and scalable approaches for managing their supply chains more effectively in the digital era. Digital marketplaces and data cleanroom will enable the data transparency and smooth coordination with strategic supply chain partners. Organizations need to achieve new competitive capabilities like visibility, real-time response and digitization in the digital era in supply chain management. Though some leading companies have already commenced to modify their customer value propositions, and attempting to transform their supply chain operations using digital technologies, consensus has not yet evolved among researchers on what strategies to be adopted by the organizations to achieve supply chain related competitive advantage in the digital era. Therefore, there is a need to study the future strategies of supply chain to be adopted by business organizations to achieve positive outcomes in the digital era. This paper attempts to fill this gap in the body of knowledge by developing a framework of supply chain strategies and their enablers in digital era. It would aid organizations in redesigning their supply chain strategies to achieve supply chain related competitive advantage.
机译:今天的供应链正在变得越来越具竞争力,复杂,昂贵,风险和不可预测。信息和通信技术的使用(ICT),数字技术和大数据分析将传统供应链开发成更智能的供应链,并实现了数字时代未来挑战的有效管理。发现这些数字时代的技术实现了供应链的基本目标,如更快,更便宜,更好的产品可用性和客户覆盖范围。数字时代由物联网(IOT),大数据和分析,数字设计的互连,它需要先进的技术来捕获,收集,存储,分析和解释巨额信息。 IOT是一个网络,软件,设备,数据库,对象,传感器和系统网络,所有这些都在人类服务中工作。使用IOT智能设备,供应链公司将能够降低信息采集成本。数字时代大数据的进展情况和对这些数据的适当分析将在利用和实施在未来十年内的公司供应链的积极成果提供巨大的好处。数据驱动的革命将扫描未来业务的完成方式,并管理供应链的方式。大数据分析(BDA),称为供应链管理中的“供应链分析”可以帮助公司获得竞争优势,实现“智能供应链”的地位。数字时代的供应链管理是通过分析供应链中可用的各种资料的广泛数据,如i)产品设计,ii)供应链设计,iii)采购,iv)生产,v)仓储,vi)运输,vii)销售点到VIII)消费者。供应链将以比现在在数字时代的方式更广泛的方式运营。组织需要开发新的协作模型和可扩展方法,以便在数字时代更有效地管理供应链。数字市场和数据洁净室将使数据透明度和与战略供应链合作伙伴平稳协调。组织需要实现新的竞争功能,如供应链管理数字时代的可见性,实时响应和数字化。虽然一些主要公司已经开始修改客户价值主张,并试图使用数字技术转换其供应链业务,但在研究人员中尚未演变,组织通过达到供应链相关的竞争优势的哪些策略数字时代。因此,需要研究企业组织采用的供应链未来的策略,以实现数字时代的积极成果。本文试图通过开发供应链策略及其在数字时代的推动者的框架中填补了知识体内的这种差距。它可以帮助组织重新设计供应链策略,以实现相关的供应链相关的竞争优势。

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