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New product success through big data analytics: an empirical evidence from Iran

Farid Shirazi (Ted Rogers School of Information Technology Management, Ryerson University, Toronto, Canada)
Hsiao-Ting Tseng (Department of Information Management, National Central University, Taoyuan, Taiwan)
Olu Adegbite (University of Wales, Cardiff, Wales)
Nick Hajli (Business, Swansea University, Swansea, UK)
Saeed Rouhani (Faculty of Management, University of Tehran, Islamic Republic of Iran)

Information Technology & People

ISSN: 0959-3845

Article publication date: 19 August 2021

Issue publication date: 8 July 2022

770

Abstract

Purpose

Innovative firms leverage big data analytics (BDA) benefits in optimising value creation, particularly in business-to-business (B2B) contexts. Examples of this are found in new product success and product innovation performance. However, knowledge of how innovative firms and their corporate customers generate insights from big data, develop new products and gain higher-quality service from intra- and inter organisations' resources is limited. This knowledge manifests in the form of opportunities available in BDA and through the adoption of the co-creation approach to generate value in the form of new product innovation. BDA reflects an excellent means of enhancing a firm's customer agility, but how this is possible remains largely unknown.

Design/methodology/approach

In this research, the authors hypothesise that new product success is a function of a firm's customer agility and product innovation performance moderated by environmental turbulences. In turn, the firm's customer agility is enhanced by the effect of big data aggregation and analytical tools. These hypotheses have been confirmed by a survey in an emerging market.

Findings

The authors use structural equation modelling to test the authors’ hypotheses. The main contribution of this research is the conceptualisation and test of an integrative framework identifying the links among a firm's customer agility, new product success and BDA capabilities.

Practical implications

The study established that BDA tools – the effective use of data aggregation tools and the effective use of data analysis tools – shape customer agility in achieving new product success. This study contributes to one’s understanding of the relevance of BDA in B2B value creation contexts.

Originality/value

The study findings show that BDA shapes a firm's customer agility in achieving new product success.

Keywords

Citation

Shirazi, F., Tseng, H.-T., Adegbite, O., Hajli, N. and Rouhani, S. (2022), "New product success through big data analytics: an empirical evidence from Iran", Information Technology & People, Vol. 35 No. 5, pp. 1513-1539. https://doi.org/10.1108/ITP-03-2020-0105

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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