Big data for omni-channel supply chain management: the need for greater focus on people and process Online publication date: Tue, 15-Nov-2016
by Matthew Roberts; Benjamin Hazen
International Journal of Automation and Logistics (IJAL), Vol. 2, No. 4, 2016
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Logistics (IJAL):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com