Big data for omni-channel supply chain management: the need for greater focus on people and process. (2016)

• Record Type: Journal Article
• Authors: Roberts, Matthew; Hazen, Benjamin
• Is Part Of: International journal of automation and logistics. Volume 2:Number 4(2016)
• Page Start: 271
• Page End: 278
• Publication Date: 2016
• Subjects: big data -- omni-channel SCM -- multi-channel SCM -- supply chain management -- logistics -- process management -- personnel management -- customers; Automation -- Periodicals; Logistics -- Periodicals; Logistics -- Computer programs -- Periodicals; 658.514
• Languages: English
• ISSNs: 2049-6745

Abstract

Omni-channel retailing is reshaping consumers' purchasing experiences, and expectations. Supply chain management plays a large role in enabling this experience, where big data is used to optimise fulfilment and other key functions. While discussions on the role of big data in support of supply chain management have centred upon the technological aspects required to enable these functions, less attention has been paid to important people and process aspects. The purpose of this conceptual paper is to demonstrate the need for a broader discussion of the people and process aspects of big data employment for supply chain management in general and omni-channel in particular. These two dimensions are described in greater detail, and areas for further research are identified.