Exploring how consumer goods companies innovate in the digital age: the role of big data analytics companies

[thumbnail of 24Sep2020Anonymous_manuscript_revised_Centaur.pdf]
Preview
Text - Accepted Version
· Available under License Creative Commons Attribution Non-commercial No Derivatives.
· Please see our End User Agreement before downloading.
| Preview

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Mariani, M. orcid id iconORCID: https://orcid.org/0000-0002-7916-2576 and Fosso Wamba, S. (2020) Exploring how consumer goods companies innovate in the digital age: the role of big data analytics companies. Journal of Business Research, 121. pp. 338-352. ISSN 0148-2963 doi: 10.1016/j.jbusres.2020.09.012

Abstract/Summary

The advent and development of digital technologies have brought about a proliferation of online consumer reviews (OCRs), i.e., real-time customers’ evaluations of products, services, and brands. Increasingly, e-commerce platforms are using them to gain insights from customer feedback. Meanwhile, a new generation of big data analytics (BDA) companies are crowdsourcing large volumes of OCRs by means of controlled ad hoc online experiments and advanced machine learning (ML) techniques to forecast demand and determine the market potential for new products in several industries. We illustrate how this process is taking place for consumer goods companies by exploring the case of UK digital BDA company, SoundOut. Based on an in-depth qualitative analysis, we develop the consumer goods company innovation (CGCI) conceptual framework, which illustrates how digital BDA firms help consumer goods companies to test new products before they are launched on the market, and innovate. Theoretical and managerial implications are discussed.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/93071
Identification Number/DOI 10.1016/j.jbusres.2020.09.012
Refereed Yes
Divisions Henley Business School > Leadership, Organisations, Behaviour and Reputation
Publisher Elsevier
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar