IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v24y2022i4d10.1007_s10796-022-10255-8.html
   My bibliography  Save this article

Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure

Author

Listed:
  • Efpraxia D. Zamani

    (The University of Sheffield)

  • Anastasia Griva

    (National University of Ireland Galway)

  • Kieran Conboy

    (National University of Ireland Galway)

Abstract

The COVID-19 pandemic has had an unprecedented impact on many industry sectors, forcing many companies and particularly Small Medium Enterprises (SMEs) to fundamentally change their business models under extreme time pressure. While there are claims that technologies such as analytics can help such rapid transitions, little empirical research exists that shows if or how Business Analytics (BA) supports the adaptation or innovation of SMEs’ business models, let alone within the context of extreme time pressure and turbulence. This study addresses this gap through an exemplar case, where the SME actively used location-based business analytics for rapid business model adaptation and innovation during the Covid-19 crisis. The paper contributes to existing theory by providing a set of propositions, an agenda for future research and a guide for SMEs to assess and implement their own use of analytics for business model transformation.

Suggested Citation

  • Efpraxia D. Zamani & Anastasia Griva & Kieran Conboy, 2022. "Using Business Analytics for SME Business Model Transformation under Pandemic Time Pressure," Information Systems Frontiers, Springer, vol. 24(4), pages 1145-1166, August.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:4:d:10.1007_s10796-022-10255-8
    DOI: 10.1007/s10796-022-10255-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-022-10255-8
    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/s10796-022-10255-8?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. Delen, Dursun & Zolbanin, Hamed M., 2018. "The analytics paradigm in business research," Journal of Business Research, Elsevier, vol. 90(C), pages 186-195.
    2. Bhatti, Sabeen Hussain & Santoro, Gabriele & Khan, Jabran & Rizzato, Fabio, 2021. "Antecedents and consequences of business model innovation in the IT industry," Journal of Business Research, Elsevier, vol. 123(C), pages 389-400.
    3. Papadopoulos, Thanos & Baltas, Konstantinos N. & Balta, Maria Elisavet, 2020. "The use of digital technologies by small and medium enterprises during COVID-19: Implications for theory and practice," International Journal of Information Management, Elsevier, vol. 55(C).
    4. Matthias Breier & Andreas Kallmuenzer & Thomas Clauss & Johanna Gast & Sascha Kraus & Victor Tiberius, 2021. "The role of business model innovation in the hospitality industry during the COVID-19 crisis," Post-Print hal-03514806, HAL.
    5. Ricciardi, Francesca & Zardini, Alessandro & Rossignoli, Cecilia, 2016. "Organizational dynamism and adaptive business model innovation: The triple paradox configuration," Journal of Business Research, Elsevier, vol. 69(11), pages 5487-5493.
    6. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    7. Helfat, Constance E. & Raubitschek, Ruth S., 2018. "Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems," Research Policy, Elsevier, vol. 47(8), pages 1391-1399.
    8. 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.
    9. D Eleanor Westney & John Van Maanen, 2011. "The casual ethnography of the executive suite," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 42(5), pages 602-607, June.
    10. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.
    11. B. Demil & X. Lecocq, 2010. "Business model evolution : in search of dynamic consistency," Post-Print hal-00572915, HAL.
    12. Bendik Bygstad & Egil Øvrelid & Thomas Lie & Magnus Bergquist, 2020. "Developing and Organizing an Analytics Capability for Patient Flow in a General Hospital," Information Systems Frontiers, Springer, vol. 22(2), pages 353-364, April.
    13. Carmine Bianchi & Graham Winch & Federico Cosenz, 2018. "Experimenting lean dynamic performance management systems design in SMEs," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 67(7), pages 1234-1251, September.
    14. Alexia Athanasopoulou & Mark De Reuver, 2020. "How do business model tools facilitate business model exploration? Evidence from action research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(3), pages 495-508, September.
    15. Constantine Andriopoulos & Marianne W. Lewis, 2009. "Exploitation-Exploration Tensions and Organizational Ambidexterity: Managing Paradoxes of Innovation," Organization Science, INFORMS, vol. 20(4), pages 696-717, August.
    16. 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.
    17. Haaker, Timber & Ly, Pham Thi Minh & Nguyen-Thanh, Nhan & Nguyen, Hanh Thi Hong, 2021. "Business model innovation through the application of the Internet-of-Things: A comparative analysis," Journal of Business Research, Elsevier, vol. 126(C), pages 126-136.
    18. Chen, Yansheng & Lin, Zhijun, 2021. "Business Intelligence Capabilities and Firm Performance: A Study in China," International Journal of Information Management, Elsevier, vol. 57(C).
    19. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    20. Carroll, Noel & Conboy, Kieran, 2020. "Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure," International Journal of Information Management, Elsevier, vol. 55(C).
    21. 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.
    22. Sigala, Marianna, 2020. "Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research," Journal of Business Research, Elsevier, vol. 117(C), pages 312-321.
    23. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    24. Ghezzi, Antonio & Cavallo, Angelo, 2020. "Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches," Journal of Business Research, Elsevier, vol. 110(C), pages 519-537.
    25. David J. Teece, 2012. "Dynamic Capabilities: Routines versus Entrepreneurial Action," Journal of Management Studies, Wiley Blackwell, vol. 49(8), pages 1395-1401, December.
    26. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    27. Eggers, Fabian, 2020. "Masters of disasters? Challenges and opportunities for SMEs in times of crisis," Journal of Business Research, Elsevier, vol. 116(C), pages 199-208.
    28. Giones, Ferran & Brem, Alexander & Pollack, Jeffrey M. & Michaelis, Timothy L. & Klyver, Kim & Brinckmann, Jan, 2020. "Revising entrepreneurial action in response to exogenous shocks: Considering the COVID-19 pandemic," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    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. Efpraxia D. Zamani & Conn Smyth & Samrat Gupta & Denis Dennehy, 2023. "Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review," Annals of Operations Research, Springer, vol. 327(2), pages 605-632, August.
    2. Kenneth E. Poole & Allison Forbes & Nichelle Williams, 2023. "Applied Regional Economic Research Can Improve Development Strategies and Drive Better Outcomes," Economic Development Quarterly, , vol. 37(1), pages 85-95, February.
    3. He Huang & Liwei Zhong & Ting Shen & Huixin Wang, 2022. "Performance prediction and optimization for healthcare enterprises in the context of the COVID-19 pandemic: an intelligent DEA-SVM model," Journal of Combinatorial Optimization, Springer, vol. 44(5), pages 3778-3791, December.
    4. Nisreen Ameen & Jyoti Choudrie & Paul Jones & Amitabh Anand, 2022. "Innovative Technologies and Small-Medium Sized Enterprises in Times of Crisis," Information Systems Frontiers, Springer, vol. 24(4), pages 1055-1060, August.

    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. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    3. Motamarri, Saradhi & Akter, Shahriar & Hossain, Md Afnan & Dwivedi, Yogesh K, 2022. "How does remote analytics empowerment capability payoff in the emerging industrial revolution?," Journal of Business Research, Elsevier, vol. 144(C), pages 1163-1174.
    4. Conboy, Kieran & Mikalef, Patrick & Dennehy, Denis & Krogstie, John, 2020. "Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda," European Journal of Operational Research, Elsevier, vol. 281(3), pages 656-672.
    5. 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).
    6. Ashrafi, Amir & Zareravasan, Ahad, 2022. "An ambidextrous approach on the business analytics-competitive advantage relationship: Exploring the moderating role of business analytics strategy," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Khurana, Indu & Dutta, Dev K. & Singh Ghura, Amarpreet, 2022. "SMEs and digital transformation during a crisis: The emergence of resilience as a second-order dynamic capability in an entrepreneurial ecosystem," Journal of Business Research, Elsevier, vol. 150(C), pages 623-641.
    8. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    9. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    10. Hock-Doepgen, Marianne & Clauss, Thomas & Kraus, Sascha & Cheng, Cheng-Feng, 2021. "Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs," Journal of Business Research, Elsevier, vol. 130(C), pages 683-697.
    11. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    12. Shamim, Saqib & Zeng, Jing & Khan, Zaheer & Zia, Najam Ul, 2020. "Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    14. Shen, Rui & Guo, Hai & Ma, Hongjia, 2023. "How do entrepreneurs' cross-cultural experiences contribute to entrepreneurial ecosystem performance?," Journal of World Business, Elsevier, vol. 58(2).
    15. Schriber, Svante & Löwstedt, Jan, 2018. "Managing asset orchestration: A processual approach to adapting to dynamic environments," Journal of Business Research, Elsevier, vol. 90(C), pages 307-317.
    16. Mohamed Mansouri & Cheklekbire Malainine & Hayat Souti & Ikram Cadimi, 2022. "Dynamic capabilities, competitiveness and performance of small and medium-sized enterprises: a systematic literature review [Capacités dynamiques, compétitivité et performance des petites et moyenn," Post-Print hal-03794567, HAL.
    17. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    18. Chen, Yantai & Luo, Haibei & Chen, Jin & Guo, Yanlin, 2022. "Building data-driven dynamic capabilities to arrest knowledge hiding: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 1138-1154.
    19. Michael Yao-Ping Peng & Yong-Sheng Chang, 2023. "Do Social Network Relationships and Overseas Market Orientation Affect SMEs’ International Performance? A Dynamic Internationalization Capability Perspective," SAGE Open, , vol. 13(1), pages 21582440231, March.
    20. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.

    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:infosf:v:24:y:2022:i:4:d:10.1007_s10796-022-10255-8. 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.