Jagtap, Sandeep and Duong, Linh (2019) Improving the new product development using big data: A case study of a food company. British Food Journal . ISSN 0007-070X
Full content URL: http://doi.org/10.1108/BFJ-02-2019-0097
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Item Type: | Article |
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Item Status: | Live Archive |
Abstract
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. This research aims at understanding the use of BD in New Food Product Development (NFPD). It helps to find relevant information and integrate sustainability to the early stages of the NPD process in the food industry. This research illustrates a case study of a beverage company wherein they used BD analytics to support their NPD team to launch a 2-litre lemonade drink in the market for their retailer with less than 5g sugar per 100 ml in the shortest possible time. The use of BD helps to reduce NPD costs and time without affecting the taste and on par with competitor’s products. 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.
Keywords: | New food product development, big data analytics, Food Supply Chain, Food & Drink, Beverages, Sustainability |
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Subjects: | N Business and Administrative studies > N900 Others in Business and Administrative studies N Business and Administrative studies > N530 Distribution |
Divisions: | College of Science > National Centre for Food Manufacturing |
ID Code: | 36642 |
Deposited On: | 22 Aug 2019 08:11 |
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