IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v200y2024ics0040162523008739.html
   My bibliography  Save this article

Exploring the interaction between big data analytics, frugal innovation, and competitive agility: The mediating role of organizational learning

Author

Listed:
  • Al-Omoush, Khaled Saleh
  • Garcia-Monleon, Fernando
  • Mas Iglesias, José Manuel

Abstract

Drawing on the dynamic capabilities theory and Big Data Analytics (BDA) literature, this study aims to develop a novel framework, exploring to what extent BDA impacts Organizational Learning (OL), Frugal Innovation (FI), and Competitive Agility (CA). This study also examines to what extent OL mediates the potential role of BDA in generating FI and CA. To conduct this empirical study, data was collected from 223 managers from pharmaceutical companies in Jordan and the data was analyzed using Smart PLS software. The results indicated that BDA significantly impacts OL, FI, and CA. The finding also indicated that OL mediates the impact of BDA on FI and CA. This study significantly contributes to the theory and growing body of knowledge on the intricate interplay among BDA, OL, FI, and CA. It offers valuable insights into the underlying mechanisms driving these relationships and paves the way for organizations to harness the transformative potential of BDA and OL for sustainable growth and success.

Suggested Citation

  • Al-Omoush, Khaled Saleh & Garcia-Monleon, Fernando & Mas Iglesias, José Manuel, 2024. "Exploring the interaction between big data analytics, frugal innovation, and competitive agility: The mediating role of organizational learning," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:tefoso:v:200:y:2024:i:c:s0040162523008739
    DOI: 10.1016/j.techfore.2023.123188
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523008739
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2023.123188?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. Sultana, Saida & Akter, Shahriar & Kyriazis, Elias, 2022. "How data-driven innovation capability is shaping the future of market agility and competitive performance?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    2. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    3. Haitham Nobanee & Mehroz Nida Dilshad & Mona Al Dhanhani & Maitha Al Neyadi & Sultan Al Qubaisi & Saeed Al Shamsi, 2021. "Big Data Applications the Banking Sector: A Bibliometric Analysis Approach," SAGE Open, , vol. 11(4), pages 21582440211, December.
    4. Adel M. Qatawneh, 2023. "The role of organizational culture in supporting better accounting information systems outcomes," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2164669-216, December.
    5. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    6. Zhang, Qingyu & Gao, Bohong & Luqman, Adeel, 2022. "Linking green supply chain management practices with competitiveness during covid 19: The role of big data analytics," Technology in Society, Elsevier, vol. 70(C).
    7. 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.
    8. Zhang, Xiaobin & Chu, Zhaofang & Ren, Lei & Xing, Jianguo, 2023. "Open innovation and sustainable competitive advantage: The role of organizational learning," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    9. Philipp Korherr & Dominik Kanbach, 2023. "Human-related capabilities in big data analytics: a taxonomy of human factors with impact on firm performance," Review of Managerial Science, Springer, vol. 17(6), pages 1943-1970, August.
    10. Mahda Garmaki & Rebwar Kamal Gharib & Imed Boughzala, 2023. "Big data analytics capability and contribution to firm performance: the mediating effect of organizational learning on firm performance," Post-Print hal-04096106, HAL.
    11. Adel M. Qatawneh, 2023. "Requirements of AIS in building modern operating business environment," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 44(3), pages 422-441.
    12. 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).
    13. Zahid Yousaf & Daniela Mihai & Umair Tanveer & Mădălina Brutu & Smaranda Toma & Sheikh Muhammad Zahid, 2022. "Organizational Innovativeness in the Circular Economy: The Interplay of Innovation Networks, Frugal Innovation, and Organizational Readiness," Sustainability, MDPI, vol. 14(11), pages 1-13, May.
    14. Chaohong Xie & Xianhao Xu & Yeming Gong & Jie Xiong, 2022. "Big Data Analytics Capability and Business Alignment for Organizational Agility : A Fit Perspective," Post-Print hal-04325618, HAL.
    15. 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.
    16. 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.
    17. Ana Clara Berndt & Giancarlo Gomes & Felipe Mendes Borini & Roberto Carlos Bernardes, 2023. "Frugal innovation and operational performance: the role of organizational learning capability," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 58(3), pages 233-248, June.
    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. Gabriel Gomes Moreira & Robério José Rogério dos Santos & Victor Diogho Heuer de Carvalho & Francisco José Peixoto Rosário & Agnaldo José dos Santos, 2024. "Potential for Frugal Innovation in a Brazilian Regional System: A Study Based on a Multicriteria Approach," Societies, MDPI, vol. 14(6), pages 1-22, June.

    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. Changchun Zhu & Jianguo Du & Fakhar Shahzad & Muhammad Umair Wattoo, 2022. "Environment Sustainability Is a Corporate Social Responsibility: Measuring the Nexus between Sustainable Supply Chain Management, Big Data Analytics Capabilities, and Organizational Performance," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    2. Tan, Fuqiang & Zhang, Qingyu & Mehrotra, Ankit & Attri, Rekha & Tiwari, Himanshi, 2024. "Unlocking venture growth: Synergizing big data analytics, artificial intelligence, new product development practices, and inter-organizational digital capability," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    3. 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.
    4. Omar. A. Alghamdi & Gomaa Agag, 2023. "Boosting Innovation Performance through Big Data Analytics Powered by Artificial Intelligence Use: An Empirical Exploration of the Role of Strategic Agility and Market Turbulence," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    5. Pan, Qiaohong & Luo, Wenping & Fu, Yi, 2022. "A csQCA study of value creation in logistics collaboration by big data: A perspective from companies in China," Technology in Society, Elsevier, vol. 71(C).
    6. Kirti Nayal & Rakesh D. Raut & Vinay Surendra Yadav & Pragati Priyadarshinee & Balkrishna E. Narkhede, 2022. "RETRACTED: The impact of sustainable development strategy on sustainable supply chain firm performance in the digital transformation era," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 845-859, March.
    7. Luqman, Adeel & Wang, Liangyu & Katiyar, Gagan & Agarwal, Reeti & Mohapatra, Amiya Kumar, 2024. "Unpacking associations between positive-negative valence and ambidexterity of big data. Implications for firm performance," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    8. Alghamdi, OmarA. & Agag, Gomaa, 2024. "Competitive advantage: A longitudinal analysis of the roles of data-driven innovation capabilities, marketing agility, and market turbulence," Journal of Retailing and Consumer Services, Elsevier, vol. 76(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. 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.
    11. 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.
    12. 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).
    13. 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).
    14. 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).
    15. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    16. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    17. Wang, Nan & Wan, Jiahao & Ma, Zhenzhong & Zhou, Yan & Chen, Jin, 2023. "How digital platform capabilities improve sustainable innovation performance of firms: The mediating role of open innovation," Journal of Business Research, Elsevier, vol. 167(C).
    18. 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.
    19. Görkem Sariyer & Mustafa Gokalp Ataman & Sachin Kumar Mangla & Yigit Kazancoglu & Manoj Dora, 2023. "Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations," Annals of Operations Research, Springer, vol. 328(1), pages 1073-1103, September.
    20. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).

    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:eee:tefoso:v:200:y:2024:i:c:s0040162523008739. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.