Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98776
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Title: Linking data-driven innovation to firm performance : a theoretical framework and case analysis
Authors: Wong, DTW 
Ngai, EWT 
Issue Date: Feb-2024
Source: Annals of operations research, Feb. 2024, v. 333, no. 2-3, p. 999-1018
Abstract: This paper examines the impact of data-driven innovation (DDI) on firm performance, based on an exploratory case study of a manufacturing firm in China’s textile and apparel industry. It explores the influence of various contextual variables on the firm’s DDI and suggests ways to enhance DDI and thereby firm performance. Extending the literature on DDI, the paper proposes and validates a theoretical framework that incorporates the influence of various contextual factors on firms’ DDI. The findings show that (1) individual context is associated with DDI; (2) organizational context is associated with DDI; and (3) DDI is associated with firm performance. This paper extends our understanding of how firm performance can be improved through DDI and shows that DDI should match a firm’s contextual environment.
Keywords: Case study
Data-driven innovation
Firm performance
Literature review
Organizational and individual context
Publisher: Springer
Journal: Annals of operations research 
ISSN: 0254-5330
EISSN: 1572-9338
DOI: 10.1007/s10479-022-05038-y
Rights: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10479-022-05038-y.
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