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Customer analytics and new product performance: The role of contingencies

Lookup NU author(s): Professor Suraksha Gupta

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Abstract

© 2024. Drawing from the Knowledge Based View (KBV) of the firm and Contingency Theory, this paper examines the extent to which the relationship between Customer Analytics (CA) and new product performance is contingent on the strategic fit of CA with certain internal and external contingencies. The paper first conducts a multiple case study based on secondary data analysis. It then undertakes an empirical analysis based on a survey data of 249 high and medium tech firms based in China. We find that while some internal contingencies (such as exploitative learning strategy and market knowledge breadth) negatively moderate the effect of CA on new product performance, others (such as internal capability and knowledge integration mechanisms) mediate its effect on performance. Technological turbulence, as an external contingency, was found to reduce the positive impact of CA deployment on new product performance. This study contributed to the literature by focusing on how several internal and external contingencies of a firm may affect the relationship between CA and new product performance.

Publication metadata

Author(s): Ozdemir S, Wang Y, Gupta S, Sena V, Zhang S, Zhang M

Publication type: Article

Publication status: Published

Journal: Technological Forecasting and Social Change

Year: 2024

Volume: 201

Print publication date: 01/04/2024

Online publication date: 06/02/2024

Acceptance date: 12/01/2024

ISSN (print): 0040-1625

ISSN (electronic): 1873-5509

Publisher: Elsevier Inc.

URL: https://doi.org/10.1016/j.techfore.2024.123225

DOI: 10.1016/j.techfore.2024.123225

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