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Linking business analytics affordances to corporate strategic planning and decision making outcomes

Author

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  • Steffen Kurpiela

    (Osnabrück University)

  • Frank Teuteberg

    (Osnabrück University)

Abstract

Business analytics is considered in research and practice as a promising approach to support organizations in the increasing complexity and dynamics in the strategic planning and decision making, which arise for example through the integration of product-service systems. However, literature is lacking a comprehensive analysis to what extant business analytics supports the strategic planning and decision making. Thus, coming from the affordance and socio-technical system theory, we are linking business analytics affordances to strategic planning outcomes. In doing so, we identified 20 affordances which we have assigned to the dimensions of the socio-technology system theory. Based on this, we have derived implications and propositions for research and practice. The results can be used as guidelines for practice and directions for future research.

Suggested Citation

  • Steffen Kurpiela & Frank Teuteberg, 2024. "Linking business analytics affordances to corporate strategic planning and decision making outcomes," Information Systems and e-Business Management, Springer, vol. 22(1), pages 33-60, March.
    • Handle: RePEc:spr:infsem:v:22:y:2024:i:1:d:10.1007_s10257-023-00661-z
    DOI: 10.1007/s10257-023-00661-z
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    1. Min-Ren Yan, 2018. "Improving entrepreneurial knowledge and business innovations by simulation-based strategic decision support system," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 16(2), pages 173-182, April.
    2. Jane E. Dutton & Robert B. Duncan, 1987. "The influence of the strategic planning process on strategic change," Strategic Management Journal, Wiley Blackwell, vol. 8(2), pages 103-116, March.
    3. N. Venkatraman & Vasudevan Ramanujam, 1987. "Planning System Success: A Conceptualization and an Operational Model," Management Science, INFORMS, vol. 33(6), pages 687-705, June.
    4. Troilo, Michael & Bouchet, Adrien & Urban, Timothy L. & Sutton, William A., 2016. "Perception, reality, and the adoption of business analytics: Evidence from North American professional sport organizations," Omega, Elsevier, vol. 59(PA), pages 72-83.
    5. Dursun Delen & Sudha Ram, 2018. "Research challenges and opportunities in business analytics," Journal of Business Analytics, Taylor & Francis Journals, vol. 1(1), pages 2-12, January.
    6. 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.
    7. Roelien Goede, 2021. "Sustainable business intelligence systems: Modelling for the future," Systems Research and Behavioral Science, Wiley Blackwell, vol. 38(5), pages 685-695, October.
    8. Duan, Yanqing & Cao, Guangming & Edwards, John S., 2020. "Understanding the impact of business analytics on innovation," European Journal of Operational Research, Elsevier, vol. 281(3), pages 673-686.
    9. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim & Delen, Dursun, 2019. "Business analytics and firm performance: The mediating role of business process performance," Journal of Business Research, Elsevier, vol. 96(C), pages 228-237.
    10. Wang, Zhiying & Wang, Nianxin & Su, Xiang & Ge, Shilun, 2020. "An empirical study on business analytics affordances enhancing the management of cloud computing data security," International Journal of Information Management, Elsevier, vol. 50(C), pages 387-394.
    11. Tim, Yenni & Hallikainen, Petri & Pan, Shan L & Tamm, Toomas, 2020. "Actualizing business analytics for organizational transformation: A case study of Rovio Entertainment," European Journal of Operational Research, Elsevier, vol. 281(3), pages 642-655.
    12. Torben Juul Andersen, 2004. "Integrating Decentralized Strategy Making and Strategic Planning Processes in Dynamic Environments," Journal of Management Studies, Wiley Blackwell, vol. 41(8), pages 1271-1299, December.
    13. 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.
    14. Lepenioti, Katerina & Bousdekis, Alexandros & Apostolou, Dimitris & Mentzas, Gregoris, 2020. "Prescriptive analytics: Literature review and research challenges," International Journal of Information Management, Elsevier, vol. 50(C), pages 57-70.
    15. Hamzeh M. Alhawamdeh & Mohammad A.K. Alsmairat, 2019. "Strategic Decision Making and Organization Performance: A Literature Review," International Review of Management and Marketing, Econjournals, vol. 9(4), pages 95-99.
    16. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
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