An exploration of big data practices in retail sector

Show simple item record Aktas, Emel Meng, Yuwei 2018-03-14T16:40:22Z 2018-03-14T16:40:22Z 2017-12-12
dc.identifier.citation Aktas A, Meng Y, An exploration of big data practices in retail sector, Logistics, Vol. 1, Issue 2, 2017, Article number 12 en_UK
dc.identifier.issn 2305-6290
dc.description.abstract Connected devices, sensors, and mobile apps make the retail sector a relevant testbed for big data tools and applications. We investigate how big data is, and can be used in retail operations. Based on our state-of-the-art literature review, we identify four themes for big data applications in retail logistics: availability, assortment, pricing, and layout planning. Our semi-structured interviews with retailers and academics suggest that historical sales data and loyalty schemes can be used to obtain customer insights for operational planning, but granular sales data can also benefit availability and assortment decisions. External data such as competitors’ prices and weather conditions can be used for demand forecasting and pricing. However, the path to exploiting big data is not a bed of roses. Challenges include shortages of people with the right set of skills, the lack of support from suppliers, issues in IT integration, managerial concerns including information sharing and process integration, and physical capability of the supply chain to respond to real-time changes captured by big data. We propose a data maturity profile for retail businesses and highlight future research directions. en_UK
dc.language.iso en en_UK
dc.publisher MDPI en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri *
dc.subject Big data en_UK
dc.subject Retail operations en_UK
dc.subject Maturity en_UK
dc.subject Availability en_UK
dc.subject Assortment en_UK
dc.subject Replenishment en_UK
dc.subject Pricing en_UK
dc.subject Layout en_UK
dc.subject Logistics en_UK
dc.title An exploration of big data practices in retail sector en_UK
dc.type Article en_UK

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