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Big Data Analytics to Support Open Innovation Strategies in Banks

Author

Listed:
  • Tasya Aspiranti

    (Faculty of Economics and Business, Universitas Islam Bandung, Bandung 40116, Indonesia)

  • Qaisar Ali

    (Faculty of Economics and Business, Universitas Islam Bandung, Bandung 40116, Indonesia)

  • Ima Amaliah

    (Faculty of Economics and Business, Universitas Islam Bandung, Bandung 40116, Indonesia)

Abstract

Today’s dynamic business environment has pushed service-oriented firms such as banks to collaborate with external partners through open innovation (OI) to address issues of service differentiation, optimize customer experience, and create effective open innovation strategies (OIS). However, the essential elements required to design OIS and the methods to manage these strategies are missing. Therefore, this study aims to investigate the strategic resources essential to creating OIS and identify the tools to manage these resources. Following the fundamentals of the resource-based view (RBV), bank openness (BOP), selection of external partners (SEP), open innovation methods (OIM), formalizing collaboration processes (FCP), and banks’ internal practices (BIP) are identified as the strategic elements required for creating OIS, and the role of big data analytics (BDA) in these strategic resources is examined. The data were collected through a survey questionnaire from 425 bank executives employed at different digital banks located in Malaysia. To achieve our research objectives, a quantitative deductive research design was employed and the collected data were processed in WarPLS using the structural equation modeling (SEM) technique to test the research hypotheses of this study. The empirical results reveal that BDA has a significant positive impact on BOP, SEP, and FCP, whereas OIM and BIP have an insignificant positive impact. The findings of this study contribute to designing a robust digital strategy to enhance the banking sector’s contribution to the development of financial industries in developing countries by employing BDA as a major strategic policy tool of OIS

Suggested Citation

  • Tasya Aspiranti & Qaisar Ali & Ima Amaliah, 2023. "Big Data Analytics to Support Open Innovation Strategies in Banks," Risks, MDPI, vol. 11(6), pages 1-23, June.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:6:p:106-:d:1164178
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    References listed on IDEAS

    as
    1. Qaisar Ali & Hakimah Yaacob & Shazia Parveen & Zaki Zaini, 2021. "Big data and predictive analytics to optimise social and environmental performance of Islamic banks," Environment Systems and Decisions, Springer, vol. 41(4), pages 616-632, December.
    2. Fariborz Damanpour & Richard M. Walker & Claudia N. Avellaneda, 2009. "Combinative Effects of Innovation Types and Organizational Performance: A Longitudinal Study of Service Organizations," Journal of Management Studies, Wiley Blackwell, vol. 46(4), pages 650-675, June.
    3. Bertello, Alberto & De Bernardi, Paola & Ferraris, Alberto & Bresciani, Stefano, 2022. "Shedding lights on organizational decoupling in publicly funded R&D consortia: An institutional perspective on open innovation," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Alberto Bertello & Alberto Ferraris & Stefano Bresciani & Paola Bernardi, 2021. "Big data analytics (BDA) and degree of internationalization: the interplay between governance of BDA infrastructure and BDA capabilities," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1035-1055, December.
    5. Radziwon, Agnieszka & Bogers, Marcel, 2019. "Open innovation in SMEs: Exploring inter-organizational relationships in an ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 573-587.
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