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Understanding the impact of business analytics on innovation

Author

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  • Duan, Yanqing
  • Cao, Guangming
  • Edwards, John S.

Abstract

Advances in Business Analytics in the era of Big Data have provided unprecedented opportunities for organizations to innovate. With insights gained from Business Analytics, companies are able to develop new or improved products/services. However, few studies have investigated the mechanism through which Business Analytics contributes to a firm's innovation success. This research aims to address this gap by theoretically and empirically investigating the relationship between Business Analytics and innovation. To achieve this aim, absorptive capacity theory is used as a theoretical lens to inform the development of a research model. Absorptive capacity theory refers to a firm's ability to recognize the value of new, external information, assimilate it and apply it to commercial ends. The research model covers the use of Business Analytics, environmental scanning, data-driven culture, innovation (new product newness and meaningfulness), and competitive advantage. The research model is tested through a questionnaire survey of 218 UK businesses. The results suggest that Business Analytics directly improves environmental scanning which in turn helps to enhance a company's innovation. Business Analytics also directly enhances data-driven culture that in turn impacts on environmental scanning. Data-driven culture plays another important role by moderating the effect of environmental scanning on new product meaningfulness. The findings demonstrate the positive impact of business analytics on innovation and the pivotal roles of environmental scanning and data-driven culture. Organizations wishing to realize the potential of Business Analytics thus need changes in both their external and internal focus.

Suggested Citation

  • Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
    • Handle: RePEc:eee:ejores:v:281:y:2020:i:3:p:673-686
    DOI: 10.1016/j.ejor.2018.06.021
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    References listed on IDEAS

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    1. Donald C. Hambrick, 1982. "Environmental scanning and organizational strategy," Strategic Management Journal, Wiley Blackwell, vol. 3(2), pages 159-174, April.
    2. Curtis P. Armstrong & V. Sambamurthy, 1999. "Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures," Information Systems Research, INFORMS, vol. 10(4), pages 304-327, December.
    3. Herrera, Maria Elena Baltazar, 2015. "Creating competitive advantage by institutionalizing corporate social innovation," Journal of Business Research, Elsevier, vol. 68(7), pages 1468-1474.
    4. Danny Miller & Peter H. Friesen, 1982. "Innovation in conservative and entrepreneurial firms: Two models of strategic momentum," Strategic Management Journal, Wiley Blackwell, vol. 3(1), pages 1-25, January.
    5. Ranyard, J.C. & Fildes, R. & Hu, Tun-I, 2015. "Reassessing the scope of OR practice: The Influences of Problem Structuring Methods and the Analytics Movement," European Journal of Operational Research, Elsevier, vol. 245(1), pages 1-13.
    6. Stock, Ruth & Zacharias, Nicolas, 2013. "Two Sides of the Same Coin: How Do Different Dimensions of Product Program Innovativeness Affect Customer Loyalty?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63414, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    7. Harris, Shannon L. & May, Jerrold H. & Vargas, Luis G., 2016. "Predictive analytics model for healthcare planning and scheduling," European Journal of Operational Research, Elsevier, vol. 253(1), pages 121-131.
    8. Pape, Tom, 2016. "Prioritising data items for business analytics: Framework and application to human resources," European Journal of Operational Research, Elsevier, vol. 252(2), pages 687-698.
    9. Prasanna Tambe, 2014. "Big Data Investment, Skills, and Firm Value," Management Science, INFORMS, vol. 60(6), pages 1452-1469, June.
    10. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    11. Toby E. Stuart, 2000. "Interorganizational alliances and the performance of firms: a study of growth and innovation rates in a high‐technology industry," Strategic Management Journal, Wiley Blackwell, vol. 21(8), pages 791-811, August.
    12. Pan, Xiaojun & Li, Shoude, 2016. "Dynamic optimal control of process–product innovation with learning by doing," European Journal of Operational Research, Elsevier, vol. 248(1), pages 136-145.
    13. Dutta, Debprotim & Bose, Indranil, 2015. "Managing a Big Data project: The case of Ramco Cements Limited," International Journal of Production Economics, Elsevier, vol. 165(C), pages 293-306.
    14. Stock, Ruth & Zacharias, Nicolas, 2013. "Two Sides of the Same Coin: How Do Different Dimensions of Product Program Innovativeness Affect Customer Loyalty?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 61663, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Dahlander, Linus & Gann, David M., 2010. "How open is innovation?," Research Policy, Elsevier, vol. 39(6), pages 699-709, July.
    16. Choi, Kanghwa & Narasimhan, Ram & Kim, Soo Wook, 2016. "Opening the technological innovation black box: The case of the electronics industry in Korea," European Journal of Operational Research, Elsevier, vol. 250(1), pages 192-203.
    17. Matthew J. Liberatore & Wenhong Luo, 2010. "The Analytics Movement: Implications for Operations Research," Interfaces, INFORMS, vol. 40(4), pages 313-324, August.
    18. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    19. G Royston, 2013. "Operational Research for the Real World: big questions from a small island☆," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(6), pages 793-804, June.
    20. Cuellar, Michael J. & Gallivan, Michael J., 2006. "A framework for ex ante project risk assessment based on absorptive capacity," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1123-1138, September.
    21. Mortenson, Michael J. & Doherty, Neil F. & Robinson, Stewart, 2015. "Operational research from Taylorism to Terabytes: A research agenda for the analytics age," European Journal of Operational Research, Elsevier, vol. 241(3), pages 583-595.
    22. Kizilaslan, Recep & Freund, Steven & Iseri, Ali, 2016. "A data analytic approach to forecasting daily stock returns in an emerging marketAuthor-Name: Oztekin, Asil," European Journal of Operational Research, Elsevier, vol. 253(3), pages 697-710.
    23. Atuahene-Gima, Kwaku, 1996. "Market orientation and innovation," Journal of Business Research, Elsevier, vol. 35(2), pages 93-103, February.
    24. Leal-Rodríguez, Antonio L. & Ariza-Montes, José A. & Roldán, José L. & Leal-Millán, Antonio G., 2014. "Absorptive capacity, innovation and cultural barriers: A conditional mediation model," Journal of Business Research, Elsevier, vol. 67(5), pages 763-768.
    25. Willis, Graham & Cave, Siôn & Kunc, Martin, 2018. "Strategic workforce planning in healthcare: A multi-methodology approach," European Journal of Operational Research, Elsevier, vol. 267(1), pages 250-263.
    26. Shaker A. Zahra & Harry J. Sapienza & Per Davidsson, 2006. "Entrepreneurship and Dynamic Capabilities: A Review, Model and Research Agenda," Journal of Management Studies, Wiley Blackwell, vol. 43(4), pages 917-955, June.
    27. K. D. Joshi & Lei Chi & Avimanyu Datta & Shu Han, 2010. "Changing the Competitive Landscape: Continuous Innovation Through IT-Enabled Knowledge Capabilities," Information Systems Research, INFORMS, vol. 21(3), pages 472-495, September.
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