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Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India

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  • Amit Kumar

    (NMIMS)

  • Bala Krishnamoorthy

    (NMIMS)

Abstract

The adoption of business analytics (BA) in emerging countries, such as India is growing significantly over the last few years. However, the research on technological capabilities and BA adoption is scant in the context of emerging countries. There is a need to understand the capabilities needed for managing BA technology in organizations in India. The purpose of this study is to investigate the factors influencing BA adoption in firms in India. The study is based on the TOE (technological, organizational, environmental) framework in combination with perceived benefits of BA adoption. The study uses thematic content analysis of the primary data collected through semi-structured interviews from senior management personnel’s in organizations. Some of the major factors validated from this study are perceived benefits, organizational data environment, technology assets, and competitive pressure. The study finds data quality and human resources competency with BA skills as specific challenges for organizations in India. The findings of this study can be useful for the organizations to develop their BA practices to differentiate from the competition. This study contributes to the existing knowledge on BA adoption and would facilitate future researches on higher level BA capabilities on the elements of management of technology (MoT) framework.

Suggested Citation

  • Amit Kumar & Bala Krishnamoorthy, 2020. "Business Analytics Adoption in Firms: A Qualitative Study Elaborating TOE Framework in India," International Journal of Global Business and Competitiveness, Springer, vol. 15(2), pages 80-93, December.
  • Handle: RePEc:spr:ijogbc:v:15:y:2020:i:2:d:10.1007_s42943-020-00013-5
    DOI: 10.1007/s42943-020-00013-5
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    as
    1. Saji K. Mathew, 2012. "Adoption of business intelligence systems in Indian fashion retail," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 9(3), pages 261-277.
    2. Hemlata Gangwar, 2018. "Understanding the Determinants of Big Data Adoption in India: An Analysis of the Manufacturing and Services Sectors," Information Resources Management Journal (IRMJ), IGI Global, vol. 31(4), pages 1-22, October.
    3. Wenyan Yin & Hwy-Chang Moon & Yeon W. Lee, 2019. "The Success Factors of Korean Global Start-Ups in the Digital Sectors Through Internationalization," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 42-53, December.
    4. 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.
    5. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    6. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    7. Sushil & Shamita Garg, 2019. "Internationalization of Tata Motors: Strategic Analysis Using Flowing Stream Strategy Process," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 54-70, December.
    8. Mary R. Lind & Robert W. Zmud, 1991. "The Influence of a Convergence in Understanding Between Technology Providers and Users on Information Technology Innovativeness," Organization Science, INFORMS, vol. 2(2), pages 195-217, May.
    9. Vaibhav S. Narwane & Balkrishna E. Narkhede & Bhaskar B. Gardas & Rakesh D. Raut, 2019. "Cloud manufacturing issues and its adoption: past, present, and future," International Journal of Management Concepts and Philosophy, Inderscience Enterprises Ltd, vol. 12(2), pages 168-199.
    10. Santa, Ricardo & Ferrer, Mario & Bretherton, Phil & Hyland, Paul, 2009. "The necessary alignment between technology innovation effectiveness and operational effectiveness," Journal of Management & Organization, Cambridge University Press, vol. 15(2), pages 155-169, May.
    11. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    12. Tapan Sahoo & Devinder Kumar Banwet & K. Momaya, 2011. "Strategic technology management practices in select auto component joint ventures in India: a case study using SAP-LAP methodology," International Journal of Engineering Management and Economics, Inderscience Enterprises Ltd, vol. 2(2/3), pages 153-174.
    13. Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
    14. Paul Chwelos & Izak Benbasat & Albert S. Dexter, 2001. "Research Report: Empirical Test of an EDI Adoption Model," Information Systems Research, INFORMS, vol. 12(3), pages 304-321, September.
    15. Dinesh Panchal & Bala Krishnamoorthy, 2019. "Developing an Instrument for Business Model Dimensions: Exploring Linkages with Firm Competitiveness," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 24-41, December.
    16. Erevelles, Sunil & Fukawa, Nobuyuki & Swayne, Linda, 2016. "Big Data consumer analytics and the transformation of marketing," Journal of Business Research, Elsevier, vol. 69(2), pages 897-904.
    17. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    18. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    19. Maikudi Shehu Musawa & Eta Wahab, 2012. "The adoption of electronic data interchange (EDI) technology by Nigerian SMEs: A conceptual framework," E3 Journal of Business Management and Economics., E3 Journals, vol. 3(2), pages 055-068.
    20. Thomas Coghlan & George Diehl & Eric Karson & Matthew Liberatore & Wenhong Luo & Robert Nydick & Bruce Pollack-Johnson & William Wagner, 2010. "The Current State of Analytics in the Corporation: The View from Industry Leaders," International Journal of Business Intelligence Research (IJBIR), IGI Global, vol. 1(2), pages 1-8, April.
    21. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    22. Kirankumar S. Momaya, 2019. "The Past and the Future of Competitiveness Research: A Review in an Emerging Context of Innovation and EMNEs," International Journal of Global Business and Competitiveness, Springer, vol. 14(1), pages 1-10, December.
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    3. Mogaji, Emmanuel & Nguyen, Nguyen Phong, 2022. "The dark side of mobile money: Perspectives from an emerging economy," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

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