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Controlling und Business Intelligence & Analytics

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Controlling – Aktuelle Entwicklungen und Herausforderungen

Zusammenfassung

Der zunehmende Umfang unterschiedlichster interner sowie externer Daten, die sich in betrieblichen Prozessen ergeben, stellt Unternehmen vor große Herausforderungen. Vor dem Hintergrund erhöhter Wettbewerbsintensität – und folglich verstärktem Innovationsdruck – investieren Unternehmen weltweit hohe Summen in neue Ressourcenplanungs- und Analysetechnologien, womit Transformationsprozesse aufgrund der Digitalisierung eingeleitet werden. Zudem zeigt sich, dass Unternehmen, die bereits moderne ERP (Enterprise Resource Planning)- und Analyseinstrumente in Verwendung haben, mittlerweile so hohe Datenbestände aufweisen, dass sie gar nicht im Stande sind, diese effektiv zu nutzen.

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Literatur

  • Acito, F./Khatri, V. (2014): Business analytics: Why now and what next?. Business Horizons, 57 Jg., Nr. 5, S. 565-570.

    Article  Google Scholar 

  • Ambrosini, V./Bowman, C. (2009): What are dynamic capabilities and are they a useful construct in strategic management?. International Journal of Management Reviews, 11 Jg., Nr. 1, S. 29-49.

    Article  Google Scholar 

  • Anthony, R. N. (1965): Planning and Control Systems: Framework for Analysis. Boston: Graduate School of Business Administration, Harvard University.

    Google Scholar 

  • Appelbaum, D./Kogan, A./Vasarhelyi, M./Yan, Z. (2017): Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25 Jg., S. 29-44.

    Article  Google Scholar 

  • Baesens, B./Bapna, R./Marsden, J. R./Vanthienen, J./Zhao, J. L. (2016): Transformational Issues of Big Data and Analytics in Networked Business. MIS Quarterly, 40 Jg., Nr. 4, S. 807-818.

    Article  Google Scholar 

  • Becker, W./Nolte, M. (2019): Die Rolle des Controllings im Rahmen der Digitalisierung – Funktionen und Aufgaben, in: Becker, W./Eierle, B./Fliaster, A./Ivens, B./Leischnig, A./Pflaum, A., & Sucky, E. (Hrsg.), Geschäftsmodelle in der digitalen Welt (S. 75-89). Wiesbaden: Springer Gabler.

    Google Scholar 

  • Bhimani, A./Willcocks, L. (2014): Digitisation, ‘Big Data‘ and the transformation of accounting information. Accounting and Business Research, 44 Jg., Nr. 4, S. 469-490.

    Article  Google Scholar 

  • Bozic, K., & Dimovski, V. (2019): Business Intelligence and analytics for value creation: The role of absorptive capacity. International Journal of Information Management, 46 Jg., S. 93-103.

    Google Scholar 

  • Büst, R. (2013): Daten sind das neue Öl. Daten als Wettbewerbsvorteile in der Cloud verarbeiten. Wirtschaftsinformatik & Management, 2 Jg., S. 40-46.

    Google Scholar 

  • Chae, B./Yang, C./Olson, D./Sheu, C. (2014): The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective. Decision Support Systems, 59 Jg., S. 119-126.

    Article  Google Scholar 

  • Chamoni, P./Gluchowski, P. (2017): Business Analytics – State of the Art. Controlling & Management Review, 4 Jg., S. 8-17.

    Google Scholar 

  • Chen, H./Chiang, R./Storey, V. (2012): Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36 Jg.Nr. 4, S. 1165-1188.

    Article  Google Scholar 

  • Chen, Y./Wang, Y./Nevo, S./Jin, J./Wang, L. (2013): IT capability and organizational performance: the roles of business process agility and environmental factors. European Journal of Information Systems, 23 Jg., Nr. 3, S. 1-17.

    Google Scholar 

  • Côrte-Real, N./Oliveira, T./Ruivo, P. (2017): Assessing business value of Big Data Analytics in European firm. Journal of Business Research Assessing, 70 Jg., S. 379-390.

    Article  Google Scholar 

  • Davenport, T. H./Harris J. G. (2017): Competing on analytics: The new science of winning. Boston: Harvard Business Review.

    Google Scholar 

  • Davenport, T. H./Kim, J. (2013): Keeping Up with the Quants. Boston: Harvard Business Review Press.

    Google Scholar 

  • Davenport, T. H./Patil, D. J. (2012): Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review, 70 Jg., S. 72-76.

    Google Scholar 

  • Elbashir, M. Z./Collier, P. A./Sutton, S. G. (2011): The Role of Organizational Absorptive Capacity in Strategic Use of Business Management Control Systems. The Accounting Review, 86 Jg., Nr. 1, S. 155-186.

    Article  Google Scholar 

  • Elbashir, M. Z./Collier, P. A./Sutton, S. G./Davern, M. J./Leech, S. A. (2013): Enhancing the Business Value of Business Intelligence: The Role of Shared Knowledge and Assimilation. Journal of Information Systems, 27 Jg., Nr. 2, S. 87-105.

    Article  Google Scholar 

  • Fink, L./Yogev, N./Even, A. (2017): Business intelligence and organizational learning: An empirical investigation of value creation processes. Information and Management, 54 Jg., Nr.1, S. 38-56.

    Article  Google Scholar 

  • Friedl, B. (2013): Controlling. 2. Auflage. Konstanz: UVK GmbH.

    Google Scholar 

  • Gartner, I. (2019): Gartner Says Global IT Spending to Grow 1.1 Percent in 2019, https://www.gartner.com/en/newsroom/press-releases/2019-04-17-gartner-says-global-it-spending-to-grow-1-1-percent-i, Abfrage: 26.04.2019

  • Gartner, I. (2019). Big Data Analytics, https://www.gartner.com/it-glossary/predictive-analytics/, Abfrage: 02.05.2019.

  • Grabski, S. V./Leech, S. A./Schmidt, P. J. (2011): A Review of ERP Research:A Future Agenda for Accounting Information Systems. Journal of Information Systems, 25 Jg., Nr. 1, S. 37-78.

    Article  Google Scholar 

  • Hawking, P./Sellitto, C. (2010). Business Intelligence (BI) Critical Success Factors, ACIS 2010 Proceedings. 4, http://aisel.aisnet.org/acis2010/4, Abfrage: 01.05.2019.

  • Holsapple, C./Lee-Post, A./Pakath, R. (2014): A unified foundation for business analytics. Decicion Support Systems, 64 Jg., S. 130-141.

    Article  Google Scholar 

  • Holzblatt, M./Brands, K. (2015): Business Analytics: Transforming the Role of Management Accountants. Management Accounting Quarterly, 16 Jg., Nr. 3, S. 1-12.

    Google Scholar 

  • Horváth, P./Gleich, R./Seiter, M. (2015): Controlling. 13. Auflage, München: Vahlen.

    Google Scholar 

  • Işik, O./Jones, M./Sidorova, A. (2013): Business intelligence success: The roles of BI capabilities and decision environments. Information and Management, 50 Jg., Nr. 1, S. 13-23.

    Google Scholar 

  • Jensen, M. L./Lowry, P. B./Burgoon, J. K./Nunamaker, J. F. (2010): Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment, Journal of Management Information Systems, 27 Jg., Nr. 1, S. 175-202.

    Article  Google Scholar 

  • Kowalczyk, M/Buxmann, P. (2015): An ambidextrous perspective on business intelligence and analytics support in decision processes: Insights from a multiple case study. Decision Support Systems, 80 Jg., S. 1-13.

    Article  Google Scholar 

  • Langmann, C. (2019): Digitalisierung im Controlling. Wiesbaden: Springer VS.

    Google Scholar 

  • LaValle, S./Lesser, E./Shockley, R./Hopkins, M. S./Kruschwitz, N. (2011): Big Data, Analytics and the Path From Insights to Value. MIT Sloan Management Review, 52 Jg., Nr. 2, S. 20-32.

    Google Scholar 

  • Luhn, H. (1985): A Business Intelligence System. IBM Journal of Research and Development, 2 Jg., Nr. 4, S. 314-319.

    Article  Google Scholar 

  • McAfee, A./Brynjolfsson, E. (2012): Big Data: The Management Revolution. Harvard Business Review, 90 Jg., S. 60-68.

    Google Scholar 

  • Malik, F. (2000): Führen, Leisten Leben: Wirksames Management für eine neue Zeit. 3. Auflage. Stuttgart/München: Deutsche Verlagsanstalt.

    Google Scholar 

  • Manyika, J./Chui, M/Brown B./Bughin, J./Dobbs R./Roxburgh, C./Byers, A. H. (2011): Big Data. The Next Frontier for Innovation, Competition, and Productivity, https://bigdatawg.nist.gov/pdf/MGI_big_data_full_report.pdf, Abfrage: 01.05.2019.

  • Matt, C./Hess, T./Benlian, A. (2015): Digital Transformation Strategies, Business and Information Systems Engineering, 57 Jg., Nr. 5, S. 339-343.

    Article  Google Scholar 

  • Mehanna, W./Tatzel, J./Vogel, P. (2016): Business Analytics im Controlling– Fünf Anwendungsfelder. Controlling – Zeitschrift für erfolgsorientierte Unternehmenssteuerung, 28 Jg., Nr. 8-9, S. 502-508.

    Google Scholar 

  • Mikalef, F./Boura, M./Lekakos, G/Krokstie, J. (2019): Big data analytics and firm performance: Findings from a mixed method approach. Journal of Business Research, 98 Jg., S. 261-276.

    Article  Google Scholar 

  • Müller, R. M./Lenz, H.-J. (2013). Business Intelligence. Berlin: Springer.

    Book  Google Scholar 

  • Nielsen, S. (2015): The Impact of Business Analytics on Management Accounting, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2616363, Abfrage: 04.05.2019.

  • Nielsen, S. (2018): Reflections on the applicability of business analytics for management accounting – and future perspectives for the accountant. Journal of Accounting & Organizational Change, 14 Jg., Nr. 2, S. 167-187.

    Google Scholar 

  • Pousttchi, K./Moormann, J./Felten, J. (2015): The impact of new media on bank processes: a Delphi study. International Journal of Electronic Business, 12 Jg., Nr. 1, S. 1-45.

    Article  Google Scholar 

  • Quattrone, P. (2016). Management accounting goes digital: Will the move make it wiser?. Management Accounting Research, 31 Jg., S. 118-122.

    Article  Google Scholar 

  • Rikhardsson, P./Yigitbasioglu, O. (2018): Business Intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, 29 Jg., S. 37-58.

    Google Scholar 

  • Schläfke, M./Silvi, R./Möller, K. (2012): A framework for business analytics in performance management. International Journal of Productivity and Performance Management, 62 Jg., Nr. 1, S. 110-122.

    Article  Google Scholar 

  • Schlegel, K./Owen, M./Buytendijk, F./Sommer, D. (2014): Create a Centralized and Decentralized Organizational Model for Business Intelligence, https://www.gartner.com/en/documents/289771816, Abgerufen: 05.05.2019.

  • Sidorova, A./Torres, R. (2014): Business Intelligence and Analytics: A Capabilities Dynamization View. Twentieth Americas Conference on Information Systems, S. 1-9.

    Google Scholar 

  • Spalek, K. (2017): Advanced Analytics II: Definition, Schritte und Tools von Advanced Analytics, https://blog.brockhaus-ag.de/blog/2017/05/22/advanced-analytics-2-wie-kuenstliche-intelligenz-versicherungsunternehmen-bei-entscheidungen-hilft/, Abfrage: 20.04.2019.

  • Teece, D. J. (2007): Explicating dynamic Capabilities: The Nature and Microfoundations of (sustainable) Enterprise Performance. Strategic Management Journal, 28 Jg., Nr. 13, S. 1319-1350.

    Article  Google Scholar 

  • Teece, D./Peteraf, M./Leih, S. (2016): Dynamic Capabilities and Organizational Agility: Risk, Uncertainity, and Strategy in the Innovation Economy. California Management Review, 58 Jg., Nr. 4, S. 13-34.

    Article  Google Scholar 

  • Teece, D. J./Pisano, G./Shuen A. (1997): Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18 Jg., Nr. 7, S. 509-533.

    Article  Google Scholar 

  • Torres, R./Sidorova, A./Jones, M. C. (2018): Enabling firm performance through business intelligence and analytics: A dynamic capabilities perspective. Information & Management, 55 Jg., S. 822-839.

    Google Scholar 

  • Trieu, V.-H. (2017): Getting value from Business Intelligence systems: A review and research agenda. Decision Support Systems, 93 Jg., S. 111-124.

    Article  Google Scholar 

  • Vidgen, R./Shaw, S./Grant, D. B. (2017): Management challenges in creating value from business analytics. European Journal of Operational Research, 261 Jg., S. 626-639.

    Article  Google Scholar 

  • Weber, J./Schäffer, U. (2016): Einführung in das Controlling. 15. Auflage. Stuttgart: Schäffer-Poeschl.

    Google Scholar 

  • Worley, C. G./Williams, T./Lawler, E. E./O’Toole, J. (2014): The Agility Factor: Building Adaptable Organizations for Superior Performance. San Francisco: Wiley & Sons.

    Google Scholar 

  • Zamecnik, R./Rajnoha, R. (2015): Strategic Business Performance Management on the Base of Controlling and Managerial Information Support. Procedia Economics and Finance, 26 Jg., S. 769-776.

    Article  Google Scholar 

  • Ziemba, E./Olszak, C. M. (2012): Critical Success Factors for Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland. Interdisciplinary Journal of Information, Knowledge and Management, 7 Jg., S. 3-6.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Johannes Kepler Universität Linz, Linz, Österreich

    Daniel Pabinger

  2. Institut für Controlling & Consulting, Johannes Kepler Universität Linz, Linz, Österreich

    Stefan Mayr

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  1. Daniel Pabinger
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  2. Stefan Mayr
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Correspondence to Daniel Pabinger .

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Editors and Affiliations

  1. Institut für Controlling & Consulting, Johannes Kepler Universität Linz, Linz, Austria

    Birgit Feldbauer-Durstmüller

  2. Institut für Controlling & Consulting, Johannes Kepler Universität Linz, Linz, Austria

    Stefan Mayr

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Pabinger, D., Mayr, S. (2019). Controlling und Business Intelligence & Analytics. In: Feldbauer-Durstmüller, B., Mayr, S. (eds) Controlling – Aktuelle Entwicklungen und Herausforderungen. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-27723-9_4

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  • DOI: https://doi.org/10.1007/978-3-658-27723-9_4

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