IDEAS home Printed from https://ideas.repec.org/a/spr/ijogbc/v15y2020i2d10.1007_s42943-020-00013-5.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s42943-020-00013-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s42943-020-00013-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Premkumar, G. & Roberts, Margaret, 1999. "Adoption of new information technologies in rural small businesses," Omega, Elsevier, vol. 27(4), pages 467-484, August.
    10. 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.
    11. 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.
    12. 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.
    13. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Venkataiah Chittipaka & Satish Kumar & Uthayasankar Sivarajah & Jana Lay-Hwa Bowden & Manish Mohan Baral, 2023. "Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework," Annals of Operations Research, Springer, vol. 327(1), pages 465-492, August.
    2. Martin Potančok & Jan Pour & Wui Ip, 2021. "Factors Influencing Business Analytics Solutions and Views on Business Problems," Data, MDPI, vol. 6(8), pages 1-12, August.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    2. Candice WALLS & Brian BARNARD, 2020. "Success Factors of Big Data to Achieve Organisational Performance: Theoretical Perspectives," Expert Journal of Business and Management, Sprint Investify, vol. 8(1), pages 1-16.
    3. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    4. Shet, Sateesh.V. & Poddar, Tanuj & Wamba Samuel, Fosso & Dwivedi, Yogesh K., 2021. "Examining the determinants of successful adoption of data analytics in human resource management – A framework for implications," Journal of Business Research, Elsevier, vol. 131(C), pages 311-326.
    5. Kim, Jaemin & Dibrell, Clay & Kraft, Ellen & Marshall, David, 2021. "Data analytics and performance: The moderating role of intuition-based HR management in major league baseball," Journal of Business Research, Elsevier, vol. 122(C), pages 204-216.
    6. Božič, Katerina & Dimovski, Vlado, 2019. "Business intelligence and analytics for value creation: The role of absorptive capacity," International Journal of Information Management, Elsevier, vol. 46(C), pages 93-103.
    7. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    8. Nam, Dalwoo & Lee, Junyeong & Lee, Heeseok, 2019. "Business analytics use in CRM: A nomological net from IT competence to CRM performance," International Journal of Information Management, Elsevier, vol. 45(C), pages 233-245.
    9. Côrte-Real, Nadine & Ruivo, Pedro & Oliveira, Tiago & Popovič, Aleš, 2019. "Unlocking the drivers of big data analytics value in firms," Journal of Business Research, Elsevier, vol. 97(C), pages 160-173.
    10. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    11. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    12. Oesterreich, Thuy Duong & Anton, Eduard & Teuteberg, Frank & Dwivedi, Yogesh K, 2022. "The role of the social and technical factors in creating business value from big data analytics: A meta-analysis," Journal of Business Research, Elsevier, vol. 153(C), pages 128-149.
    13. Haitham Mohsin Kareem & Mohammed Dauwed & Ahmed Meri & Mu’taman Jarrar & Mohammad Al-Bsheish & Ali Abdulameer Aldujaili, 2021. "The Role of Accounting Information System and Knowledge Management to Enhancing Organizational Performance in Iraqi SMEs," Sustainability, MDPI, vol. 13(22), pages 1-13, November.
    14. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
    15. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.
    16. 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.
    17. Morimura, Fumikazu & Sakagawa, Yuji, 2023. "The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    18. Merendino, Alessandro & Dibb, Sally & Meadows, Maureen & Quinn, Lee & Wilson, David & Simkin, Lyndon & Canhoto, Ana, 2018. "Big data, big decisions: The impact of big data on board level decision-making," Journal of Business Research, Elsevier, vol. 93(C), pages 67-78.
    19. Vicky Ching Gu & Bin Zhou & Qing Cao & Jeffery Adams, 2021. "Exploring the relationship between supplier development, big data analytics capability, and firm performance," Annals of Operations Research, Springer, vol. 302(1), pages 151-172, July.
    20. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijogbc:v:15:y:2020:i:2:d:10.1007_s42943-020-00013-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.