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Information technology and innovation outcomes: is knowledge recombination the missing link?

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  • John Qi Dong
  • Chia-Han Yang

Abstract

Firms’ use of information technology (IT) has been suggested to be an important enabler of knowledge production, leading to innovation outcomes in the form of patent inventions. However the innovation process through which IT use influences patent inventions is largely unclear. We draw on the knowledge recombination perspective and develop a model that explains the innovation process through which IT use influences innovation outcomes by looking into a firm’s efforts to recombine existing knowledge (i.e., knowledge recombinant intensity) and the scope of knowledge that is recombined by a firm (i.e., knowledge recombinant diversity). We also distinguish innovation outcomes in terms of patent quantity and quality. Using a large-scale panel dataset, we show that IT use has a stronger impact on knowledge recombinant intensity relative to knowledge recombinant diversity. Moreover, knowledge recombinant intensity and knowledge recombinant diversity play key mediating roles in the relationships between IT use and patent inventions. The impact of IT use on patent quantity is partially mediated, while the impact of IT use on patent quality is fully mediated. Our findings indicate that while IT use can directly affect patent quantity, its impact on patent quality must be channelled through a firm’s knowledge recombinant efforts and scope.

Suggested Citation

  • John Qi Dong & Chia-Han Yang, 2019. "Information technology and innovation outcomes: is knowledge recombination the missing link?," European Journal of Information Systems, Taylor & Francis Journals, vol. 28(6), pages 612-626, November.
  • Handle: RePEc:taf:tjisxx:v:28:y:2019:i:6:p:612-626
    DOI: 10.1080/0960085X.2019.1627489
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    Cited by:

    1. Xie, Weihong & Zou, Yukun & Guo, Haizhen & Li, Zhongshun, 2024. "What drives digital innovation cycles? Evidence from manufacturing enterprises in China," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    2. Zhang, Haili & Song, Michael & Wang, Yufan, 2023. "Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    3. Pu, Xiaohong & Zeng, Ming & Zhang, Weike, 2023. "Corporate sustainable development driven by high-quality innovation: Does fiscal decentralization really matter?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 273-289.

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