Abstract
Data-centric approaches such as big data and related approaches from business intelligence and analytics (BI&A) have recently attracted major attention due to their promises of huge improvements in organizational performance based on new business insights and improved decision making. Incorporating data-centric approaches into organizational decision processes is challenging, even more so with big data, and it is not self-evident that the expected benefits will be realized. Previous studies have identified the lack of a research focus on the context of decision processes in data-centric approaches. By using a multiple case study approach, the paper investigates different types of BI&A-supported decision processes, and makes three major contributions. First, it shows how different facets of big data and information processing mechanism compositions are utilized in different types of BI&A-supported decision processes. Second, the paper contributes to information processing theory by providing new insights about organizational information processing mechanisms and their complementary relationship to data-centric mechanisms. Third, it demonstrates how information processing theory can be applied to assess the dynamics of mechanism composition across different types of decisions. Finally, the study’s implications for theory and practice are discussed.
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References
Arnott D, Pervan G (2008) Eight key issues for the decision support systems discipline. Decision Support Systems 44:657–672
Bagozzi RP, Yi Y, Phillips LW (1991) Assessing construct validity in organizational research. Administrative Science Quarterly 36:421
Benbasat I, Goldstein DK, Mead M (1987) The case research strategy in studies of information systems. MIS Quarterly 11:369
BITKOM (2012) Big Data im Praxiseinsatz – Szenarien, Beispiele, Effekte. Bundesverband Informationswirtschaft, Telekommunikation und neue Medien e. V.
BRAC (2013) Big data survey Europe. BRAC Institut, Würzburg
Buhl HU, Röglinger M, Moser F, Heidemann J (2013) Big data. Business & Information Systems Engineering 5:65–69
Chamoni P, Gluchowski P (2004) Integrationstrends bei Business-Intelligence-Systemen. WIRTSCHAFTSINFORMATIK 46:119–128
Chaudhuri S, Dayal U, Narasayya V (2011) An overview of business intelligence technology. Communications of the ACM 54:88–98
Chen H, Chiang R, Storey V (2012) Business intelligence and analytics: from big data to big impact. MIS Quarterly 36:1165–1188
Corbin J, Strauss A (2008) Basics of qualitative research: techniques and procedures for developing grounded theory, 3rd edn. Sage, Thousand Oaks
Daft RL, Lengel RH (1986) Organizational information requirements, media richness and structural design. Management Science 32:554–571
Davenport TH (2010) Business intelligence and organizational decisions. International Journal of Business Intelligence Research (IJBIR) 1:1–12
Davenport TH, Harris JG (2007) Competing on analytics: the new science of winning. Harvard Business Review Press, Boston
Dhar V (2013) Data science and prediction. Communications of the ACM 56:64–73
Dinter B (2012) The maturing of a business intelligence maturity model. In: AMCIS 2012 proceedings
Dubé L, Paré G (2003) Rigor in information systems positivist case research: current practices, trends, and recommendations. MIS Quarterly 27:597–636
Elbanna S, Child J (2007) Influences on strategic decision effectiveness: development and test of an integrative model. Strategic Management Journal 28:431–453
Ericsson KA, Simon HA (1993) Protocol analysis: verbal reports as data. MIT Press, Cambridge
Fairbank J, Labianca G, Steensma H, Metters R (2006) Information processing design choices, strategy, and risk management performance. Journal of Management Information Systems 23:293–319
Fayyad U, Piatetsky-Shapiro G, Smyth P (1996) The KDD process for extracting useful knowledge from volumes of data. Communications of the ACM 39:27–34
Galbraith JR (1974) Organization design: an information processing view. Interfaces 4:28–36
Goodhue D, Wybo M, Kirsch L (1992) The impact of data integration on the costs and benefits of information systems. MIS Quarterly 16:293–311
Huber GP (1990) A theory of the effects of advanced information technologies on organizational design, intelligence, and decision making. The Academy of Management Review 15:47
Işık Ö, Jones MC, Sidorova A (2013) Business intelligence success: the roles of BI capabilities and decision environments. Information & Management 50:13–23
Klein D, Tran-Gia P, Hartmann M (2013) Big data. Informatik Spektrum 36:319–323
LaValle S, Lesser E, Shockley R, Hopkins MS, Kruschwitz N (2011) Big data, analytics and the path from insights to value. MIT Sloan Management Review 52:21–31
Lee AS (1989) A scientific methodology for MIS case studies. MIS Quarterly 13:33–50
Miles MB, Huberman AM (1994) Qualitative data analysis: an expanded sourcebook, 2nd edn. Sage, Thousand Oaks
Mintzberg H, Raisinghani D, Theoret A (1976) The structure of “unstructured” decision processes. Administrative Science Quarterly 21:246
Nutt PC (2008) Investigating the success of decision making processes. Journal of Management Studies 45:425–455
Plattner H, Zeier A (2011) In-memory data management: an inflection point for enterprise applications. Springer, Heidelberg
Polites GL (2006) From real-time bi to the real-time enterprise: organizational enablers of latency reduction. In: ICIS 2006 proceedings
Popovič A, Hackney R, Coelho PS, Jaklič J (2012) Towards business intelligence systems success: effects of maturity and culture on analytical decision making. Decision Support Systems 54:729–739
Pospiech M, Felden C (2012) Big data – a state-of-the-art. In: AMCIS 2012 proceedings
Reynolds TJ, Olson JC (2001) Understanding consumer decision making: the means-end approach to marketing and advertising strategy. Psychology Press, Mahwah
Shollo A, Kautz K (2010) Towards an understanding of business intelligence. In: ACIS 2010 proceedings
Simon HA (1960) The new science of management decision. Harper & Brothers, New York
Strauss AL (1987) Qualitative analysis for social scientists. Cambridge University Press, Cambridge
Tushman ML, Nadler DA (1978) Information processing as an integrating concept in organizational design. Academy of Management Review 3:613–624
Viaene S (2013) Data scientists aren’t domain experts. IT Professional 15:12–17
Watson HJ (2010) Business analytics insight: hype or here to stay? Business Intelligence Journal 16:4–8
Watson HJ, Wixom BH (2007) The current state of business intelligence. Computer 40:96–99
Yin RK (2003) Case study research: design and methods. Sage, Thousand Oaks
Zack MH (2007) The role of decision support systems in an indeterminate world. Decision Support Systems 43:1664–1674
Acknowledgements
The authors gratefully acknowledge the House of IT e. V. for supporting this research with a grant to the first author. The authors thank the editors and the anonymous reviewers for their valuable comments and suggestions, which helped to improve the paper. The authors are deeply grateful to all participants of the case study – without their openness and the commitment of their precious time this research would not have been possible.
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Accepted after two revisions by the editors of the special focus.
This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Kowalczyk M, Buxmann P (2014) Big Data und Informationsverarbeitung in organisatorischen Entscheidungsprozessen. Eine multiple Fallstudie. WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-014-0430-6.
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Kowalczyk, M., Buxmann, P. Big Data and Information Processing in Organizational Decision Processes. Bus Inf Syst Eng 6, 267–278 (2014). https://doi.org/10.1007/s12599-014-0341-5
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DOI: https://doi.org/10.1007/s12599-014-0341-5