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Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?

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  • Zhang, Haili
  • Song, Michael
  • Wang, Yufan

Abstract

The IT literature suggests that information technology capability (ITC) enhances firm performance. Yet studies have challenged this positive relationship. This study proposes an inverted U-shaped ITC–performance relationship and investigates how artificial intelligence-infused operations capability (AIOP) moderates this inverted U-shaped relationship. We collect data from 259 U.S. and 279 Chinese companies to test the hypotheses and find some interesting, but counterintuitive, results. This study extends the IT and strategic management literatures by examining how AIOP moderate an inverted U-shaped ITC–performance relationship. The study also reveals some cross-national similarities and differences.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:191:y:2023:i:c:s0040162523002020
    DOI: 10.1016/j.techfore.2023.122517
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    1. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    2. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    3. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    4. Ningxuan Kang & Cong Zhao & Jingshan Li & John A. Horst, 2016. "A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6333-6350, November.
    5. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    6. Yufan Wang & Haili Zhang, 2020. "Achieving Sustainable New Product Development by Implementing Big Data-Embedded New Product Development Process," Sustainability, MDPI, vol. 12(11), pages 1-20, June.
    7. Anitesh Barua & Charles H. Kriebel & Tridas Mukhopadhyay, 1995. "Information Technologies and Business Value: An Analytic and Empirical Investigation," Information Systems Research, INFORMS, vol. 6(1), pages 3-23, March.
    8. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    9. Hao, Shengbin & Song, Michael, 2016. "Technology-driven strategy and firm performance: Are strategic capabilities missing links?," Journal of Business Research, Elsevier, vol. 69(2), pages 751-759.
    10. 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.
    11. Kevin Zheng Zhou & Fang Wu, 2010. "Technological capability, strategic flexibility, and product innovation," Strategic Management Journal, Wiley Blackwell, vol. 31(5), pages 547-561, May.
    12. Marchiori, Danilo Magno & Rodrigues, Ricardo Gouveia & Popadiuk, Silvio & Mainardes, Emerson Wagner, 2022. "The relationship between human capital, information technology capability, innovativeness and organizational performance: An integrated approach," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    13. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    14. Prithwiraj Choudhury & Evan Starr & Rajshree Agarwal, 2020. "Machine learning and human capital complementarities: Experimental evidence on bias mitigation," Strategic Management Journal, Wiley Blackwell, vol. 41(8), pages 1381-1411, August.
    15. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    16. Fuqiang Zhang & Xiaole Wu & Christopher S. Tang & Tianjun Feng & Yue Dai, 2020. "Evolution of Operations Management Research: from Managing Flows to Building Capabilities," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2219-2229, October.
    17. Y. Lisa Zhao & Michael Song & Gregory L. Storm, 2013. "Founding Team Capabilities and New Venture Performance: The Mediating Role of Strategic Positional Advantages," Entrepreneurship Theory and Practice, , vol. 37(4), pages 789-814, July.
    18. Ilsoon Shin, 2006. "Adoption of Enterprise Application Software and Firm Performance," Small Business Economics, Springer, vol. 26(3), pages 241-256, April.
    19. Subodha Kumar & Vijay Mookerjee & Abhinav Shubham, 2018. "Research in Operations Management and Information Systems Interface," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 1893-1905, November.
    20. Guo, Jingjing & Zhou, Shasha & Chen, Jin & Chen, Qi, 2021. "How information technology capability and knowledge integration capability interact to affect business model design:A polynomial regression with response surface analysis," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    21. Sunil Mithas & Zhi‐Long Chen & Terence J.V. Saldanha & Alysson De Oliveira Silveira, 2022. "How will artificial intelligence and Industry 4.0 emerging technologies transform operations management?," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4475-4487, December.
    22. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    23. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
    24. Jiawen Liu & Yeming Gong & Joe Zhu & Ryad Titah, 2022. "Information technology and performance: Integrating data envelopment analysis and configurational approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(6), pages 1278-1293, June.
    25. M. Ishaq Bhatti & H. Awan & Z. Razaq, 2014. "The key performance indicators (KPIs) and their impact on overall organizational performance," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3127-3143, November.
    26. Wayne S. DeSarbo & C. Anthony Di Benedetto & Michael Song & Indrajit Sinha, 2005. "Revisiting the Miles and Snow strategic framework: uncovering interrelationships between strategic types, capabilities, environmental uncertainty, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 26(1), pages 47-74, January.
    27. Youngjin Yoo & Ola Henfridsson & Kalle Lyytinen, 2010. "Research Commentary ---The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research," Information Systems Research, INFORMS, vol. 21(4), pages 724-735, December.
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