Improving the new product development using big data: A case study of a food company

Jagtap, Sandeep; Duong, Linh Nguyen Khanh

Abstract

Purpose Recently, the concept of big data (BD) has evolved and started to play an essential role in the advancement of new product development (NPD) in various sectors contributing to value creation, idea generation and competitive advantage. However, limited research has been done on how the food industry can exploit BD to improve the processes involved in NPD. The purpose of this paper is to understand the use of BD in new food product development. It helps to find relevant information and integrate sustainability to the early stages of the NPD process in the food industry. Design/methodology/approach This research illustrates a case study of a beverage company wherein they used BD analytics to support their NPD team to launch a two-litre lemonade drink in the market for their retailer with less than 5 g sugar per 100 ml in the shortest possible time. Findings The use of BD helps to reduce NPD costs and time without affecting the taste and on par with competitor’s products. Originality/value The research can support NPD professionals through the application of BD analytics to bring products at lower costs to the market as quickly as possible.

Citation

Jagtap, S., & Duong, L. N. K. (2019). Improving the new product development using big data: A case study of a food company. British Food Journal, 121(11), 2835-2848. https://doi.org/10.1108/bfj-02-2019-0097

• Journal Article Type: Article
• Acceptance Date: Sep 17, 2019
• Online Publication Date: Sep 17, 2019
• Publication Date: Oct 23, 2019
• Deposit Date: Jul 23, 2021
• Journal: British Food Journal
• Print ISSN: 0007-070X
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 121
• Issue: 11
• Pages: 2835-2848
• DOI: https://doi.org/10.1108/bfj-02-2019-0097
• Public URL: https://uwe-repository.worktribe.com/output/7487273
• Publisher URL: http://www.emerald.com/insight/content/doi/10.1108/BFJ-02-2019-0097/full/html
• Related Public URLs: https://eprints.lincoln.ac.uk/id/eprint/36642/