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Big Data and RFID in Supply Chain and Logistics Management: A Review of the Literature and Applications for Data Driven Research

Big Data and RFID in Supply Chain and Logistics Management: A Review of the Literature and Applications for Data Driven Research
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Author(s): Thanos Papadopoulos (University of Kent, UK), Angappa Gunasekaran (University of Massachusetts – Dartmouth, USA), Rameshwar Dubey (Symbiosis Institute of Operations Management, India) and Maria Balta (Brunel University, UK)
Copyright: 2018
Pages: 13
Source title: Operations and Service Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-3909-4.ch032

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Abstract

Big Data refers to complex and unstructured data that is difficult to analyse and utilize with traditional applications and analyses. Big Data comes from a variety of sources, including tracking and sensor devices which are widely used in logistics and supply chain management, and relate to Radio Frequency Identification (RFID) technology. Thus, this chapter reviews the literature on RFID adoption in supply chain/logistics management from 1995-2015. We identify current trends in the literature, drawing on the three levels of decision making, that is, strategic, tactical, and operational. We suggest that more research needs to be conducted with regards to the intangible benefits of RFID, the use of RFID big data for achieving higher performance, and to shift the focus from the ‘what' and the impacts on performance to the ‘how' and the ways RFID is adopted and assimilated in organizations and supply chains. Finally, the managerial implications of our review as well as the limitations and future research directions are outlined.

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