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

Shirazi F., Tseng H., Adegbite O., Hajli N., Rouhani S.

Information Technology and People, vol.35, no.5, pp.1513-1539, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 5
  • Publication Date: 2022
  • Doi Number: 10.1108/itp-03-2020-0105
  • Journal Name: Information Technology and People
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, Periodicals Index Online, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, Educational research abstracts (ERA), Index Islamicus, INSPEC, Library and Information Science Abstracts, Library, Information Science & Technology Abstracts (LISTA), Metadex, Psycinfo, Civil Engineering Abstracts
  • Page Numbers: pp.1513-1539
  • Keywords: Firm's customer agility, Product innovation, New product success, Big data analytics (BDA), Dynamic capabilities
  • TED University Affiliated: No


© 2021, Emerald Publishing Limited.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.