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An Ambidextrous Perspective on Business Intelligence and Analytics Support in Decision Processes: Insights from a Multiple Case Study

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  • Kowalczyk, Martin
  • Buxmann, Peter

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  • Kowalczyk, Martin & Buxmann, Peter, 2015. "An Ambidextrous Perspective on Business Intelligence and Analytics Support in Decision Processes: Insights from a Multiple Case Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 75107, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:75107
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/75107/
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    Cited by:

    1. Ma, Rui & Mao, Di & Cao, Dongmei & Luo, Shuai & Gupta, Suraksha & Wang, Yichuan, 2024. "From vineyard to table: Uncovering wine quality for sales management through machine learning," Journal of Business Research, Elsevier, vol. 176(C).
    2. 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.
    3. Christoph Markmann & Alexander Spickermann & Heiko A. von der Gracht & Alexander Brem, 2021. "Improving the question formulation in Delphi‐like surveys: Analysis of the effects of abstract language and amount of information on response behavior," Futures & Foresight Science, John Wiley & Sons, vol. 3(1), March.
    4. Emmanuel Okewu & Sanjay Misra & Jonathan Okewu & Robertas Damaševičius & Rytis Maskeliūnas, 2019. "An Intelligent Advisory System to Support Managerial Decisions for A Social Safety Net," Administrative Sciences, MDPI, vol. 9(3), pages 1-14, August.
    5. Moll, Jodie & Yigitbasioglu, Ogan, 2019. "The role of internet-related technologies in shaping the work of accountants: New directions for accounting research," The British Accounting Review, Elsevier, vol. 51(6).
    6. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Hamood Mohammed Al-Hattami & Faozi A. Almaqtari, 2023. "What determines digital accounting systems’ continuance intention? An empirical investigation in SMEs," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    8. Goran Pranjic, 2018. "Decision Making Process In The Business Intelligence 3.0 Context," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 27(2), pages 603-619, december.
    9. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    10. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    11. 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.

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