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

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journal contribution
posted on 2019-08-28, 12:14 authored by Sandeep Jagtap, Linh Duong

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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

British Food Journal

Volume

121

Issue

11

Pages

2835 - 2848

Publisher

Emerald Publishing Limited

Version

  • AM (Accepted Manuscript)

Rights holder

© Emerald Publishing Limited

Publisher statement

This paper was accepted for publication in the journal British Food Journal and the definitive published version is available at https://doi.org/10.1108/BFJ-02-2019-0097.

Acceptance date

2019-07-29

Publication date

2019-09-02

Copyright date

2019

ISSN

0007-070X

Language

  • en

Depositor

Sandeep Jagtap

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