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Original Articles

Big data creating new knowledge as support in decision-making: practical examples of big data use and consequences of using big data as decision support

Pages 1-18 | Received 06 Oct 2016, Accepted 26 Dec 2017, Published online: 24 Apr 2018

References

  • Ackoff, R. L. (1967). Management misinformation systems. Management Science , 14 (4), B-147–B-156. doi:10.1287/mnsc.14.4.B147
  • Alavi, M. , & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly , 25 (1), 107–136. doi:10.2307/3250961
  • Bassi, E. , Leoni, D. , Leucci, S. , Pane, J. , & Vaccari, L. (2014). Opening public deliberations: Transparency, privacy, anonymisation. In P. Casanovas , U. Pagallo , M. Palmirani , & G. Sartor (Eds.), AI approaches to the complexity of legal systems (Vol. 8929, pp. 41–53). Berlin: Springer.
  • Bettis-Outland, H. (2012). Decision-making’s impact on organizational learning and information overload. Journal of Business Research , 65 (6), 814–820. doi:10.1016/j.jbusres.2010.12.021
  • Bi, Z. , & Cochran, D. (2014). Big data analytics with applications. Journal of Management Analytics , 1 (4), 249–265. doi:10.1080/23270012.2014.992985
  • Brännback, M. (1996). Strategic decisions and decision support systems . ( PhD), Åbo Akademi University, Turku.
  • Brunsson, K. , & Brunsson, N. (2014). Beslut . Stockholm: Liber AB.
  • Chen, M. , Mao, S. , & Liu, Y. (2014). Big data: A survey. Mobile Networks and Applications , 19 (2), 171–209. doi:10.1007/s11036-013-0489-0
  • Choo, C. W. (1996). The knowing organization: How organizations use information to construct meaning, create knowledge and make decisions. International Journal of Information Management , 16 (5), 329–340. doi:10.1016/0268-4012(96)00020-5
  • Choo, C. W. (2006). The knowing organization: How organizations use information to construct meaning, create knowledge, and make decisions (Vol. 2nd ed.). New York, NY : Oxford University Press.
  • boyd, d. , & Crawford, K. (2012). Critical questions for big data. Information, Communication and Society , 15 (5), 662–679).
  • Daft, R. L. , & Lengel, R. H. (1983). Information richness: A new approach to managerial behavior and organization design. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/a128980.pdf
  • Demchenko, Y. , Ngo, C. , de Laat, C. , Membrey, P. , & Gordijenko, D. (2014). Big security for big data: Addressing security challenges for the big data infrastructure. In W. Jonker & M. Petković (Eds.), Secure data management (Vol. 8425, pp. 76–94). Cham: Springer International Publishing.10.1007/978-3-319-06811-4
  • Desouza, K. C. , & Jacob, B. (2017). Big data in the public sector: Lessons for practitioners and scholars. Administration & Society , 49 (7), 1043–1064. doi:10.1177/0095399714555751
  • Drosio, S. , & Stanek, S. (2016). The Big Data concept as a contributor of added value to crisis decision support systems. Journal of Decision Systems , 25 (sup1), 228–239. doi:10.1080/12460125.2016.1187404
  • Elgendy, N. , & Elragal, A. (2014). Big data analytics: A literature review paper. In P. Perner (Ed.), Advances in data mining. Applications and theoretical aspects (Vol. 8557, pp. 214–227). Cham: Springer International Publishing.
  • Esterhuizen, D. , Schutte, C. S. L. , & du Toit, A. S. A. (2012). Knowledge creation processes as critical enablers for innovation. International Journal of Information Management , 32 (4), 354–364. doi:10.1016/j.ijinfomgt.2011.11.013
  • Feldman, M. S. , & March, J. G. (1981). Information in organizations as signal and symbol. Administrative Science Quarterly , 26 (2), 171–186. doi:10.2307/2392467
  • Fosso Wamba, S. , Akter, S. , Edwards, A. , Chopin, G. , & Gnanzou, D. (2015). How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics , 165 , 234–246. doi:10.1016/j.ijpe.2014.12.031
  • Fredriksson, C. , Mubarak, F. , Tuohimaa, M. , & Zhan, M. (2017). Big data in the public sector: A systematic literature review. Scandinavian Journal of Public Administration , 21 (3), 39–62.
  • Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces , 4 (3), 28–36.10.1287/inte.4.3.28
  • George, G. , Osinga, E. C. , Lavie, D. , & Scott, B. A. (2016). Big data and data science methods for management research. Academy of Management Journal , 59 (5), 1493–1507. doi:10.5465/amj.2016.4005
  • Gorry, A. G. , & Scott Morton, M. S. (1971). A framework for management information systems. Sloan Management Review , 13 (1), 55–70.
  • Horita, F. E. A. , de Albuquerque, J. P. , Marchezini, V. , & Mendiondo, E. M. (2017). Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil. Decision Support Systems , 97 (Supplement C), 12–22. doi:10.1016/j.dss.2017.03.001 10.1016/j.dss.2017.03.001
  • Huber, G. P. (1990). A theory of the effects of advanced information technologies on organizational design, intelligence, and decision making. The Academy of Management Review , 15 (1), 47–71. doi:10.2307/258105
  • Jackson, T. W. , & Farzaneh, P. (2012). Theory-based model of factors affecting information overload. International Journal of Information Management , 32 (6), 523–532. doi:10.1016/j.ijinfomgt.2012.04.006
  • Keen, P. G. W. , & Morton, M. S. S. (1978). Decision support systems: An organizational perspective . New York, NY : Addison-Wesley Publishing Company.
  • Kennedy, H. , Moss, G. , Birchall, C. , & Moshonas, S. (2015). Balancing the potential and problems of digital methods through action research: Methodological reflections. Information, Communication & Society , 18 (2), 172–186. doi:10.1080/1369118X.2014.946434
  • Kernaghan, K. (2014). Digital dilemmas: Values, ethics and information technology. Canadian Public Administration , 57 (2), 295–317. doi:10.1111/capa.12069
  • Knapp, M. (2013). Big Data. Journal of Electronic Resources in Medical Libraries , 215–222.10.1080/15424065.2013.847713
  • Kő, A. , Gábor, A. , & Szabó, Z. (2013). Policy making improvement through social learning. In A. Kő , C. Leitner , H. Leitold & A. Prosser (Eds.), Technology-Enabled Innovation for Democracy, Government and Governance (Vol. 8061, pp. 226–240). Berlin: Springer.10.1007/978-3-642-40160-2
  • Kshetri, N. (2014). Big data׳s impact on privacy, security and consumer welfare. Telecommunications Policy , 38 (11), 1134–1145. doi:10.1016/j.telpol.2014.10.002
  • Kudyba, S. (2014). Information creation through analytics. In S. Kudyba (Ed.), Big data, mining, and analytics. Components of strategic decision making (pp. 17–48). Boca Raton: CRC Press Taylor and Francis Group.10.1201/b16666
  • Raghupathi, W. , & Raghupathi, V. (2014). Big data analytics – Architectures, implementation methodology, and tools. In S. Kudyba (Ed.), Big data, mining, and analytics. Components of strategic decision making (pp. 49–70). Boca Raton: CRC Press Taylor & Francis Group.10.1201/b16666
  • Laney, D. (2001). Application delivery strategies. Retrieved from https://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf
  • Lipshitz, R. , & Strauss, O. (1997). Coping with uncertainty: A naturalistic decision-making analysis. Organizational Behavior and Human Decision Processes , 69 (2), 149–163. doi:10.1006/obhd.1997.2679
  • Manyika, J. , Chui, M. , Brown, B. , Bughin, J. , Dobbs, R. , Roxburgh, C. , & Hung Bayers, A. (2011). Big data: The next frontier for innovation, competition, and productivity. Retrieved from http://www.mckinsey.com/business-functions/business-technology/our-insights/big-data-the-next-frontier-for-innovation
  • March, J. G. (1991). How decisions happen in organizations. Human-Computer Interaction , 6 , 95–117.10.1207/s15327051hci0602_1
  • March, J. G. , & Simon, H. A. (1958). Organizations . Wiley.
  • Mayer-Schönberger, V. , & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think . Boston, NY : Houghton Mifflin Harcourt Publishing Company.
  • McAfee, A. , & Brynjolfsson, E. (2012). Big data: The management revolution. Harvard Business Review , 90 (10), 60–68.
  • Müller, S. D. , & Jensen, P. (2017). Big data in the Danish industry: Application and value creation. Business Process Management Journal , 23 (3), 645–670. doi:10.1108/BPMJ-01-2016-0017
  • Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science , 5 (1), 14–37. doi:10.1287/orsc.5.1.14
  • Nonaka, I. , Toyama, R. , & Konno, N. (2000). SECI, Ba and leadership: A unified model of dynamic knowledge creation. Long Range Planning , 33 (1), 5–34. doi:10.1016/S0024-6301(99)00115-6
  • Ohlhorst, F. J. (2012). Wiley and SAS business series: Big data analytics: Turning big data into big money . Somerset, NJ: Wiley.10.1002/9781119205005
  • Pauleen, D. J. , & Wang, W. Y. C. (2017). Does big data mean big knowledge? KM perspectives on big data and analytics. Journal of Knowledge Management , 21 (1), 1–6. doi:10.1108/JKM-08-2016-0339
  • Phillips-Wren, G. , & Hoskisson, A. (2015). An analytical journey towards big data. Journal of Decision Systems , 24 , 87–102.10.1080/12460125.2015.994333
  • Power, D. J. (2014). Using ‘Big Data’ for analytics and decision support. Journal of Decision Systems , 23 , 222–228.10.1080/12460125.2014.888848
  • Provost, F. , & Fawcett, T. (2013). Data science and its relationship to big data and data-driven decision making. Big Data , 1 (1), 51–59.10.1089/big.2013.1508
  • Tian, X. (2017). Big data and knowledge management: A case of déjà vu or back to the future? Journal of Knowledge Management , 21 (1), 113–131. doi:10.1108/JKM-07-2015-0277
  • Troester, M. (2012). Big data meets big data analytics – three key technologies for extracting real-time business value from the big data that threatens to overwhelm traditional computing architectures. Retrieved from http://www.sas.com/content/dam/SAS/en_us/doc/whitepaper1/big-data-meets-big-data-analytics-105777.pdf
  • Vaidhyanathan, S. , & Bulock, C. (2014). Knowledge and dignity in the era of ‘Big Data’. The Serials Librarian , 66 (1–4), 49–64. doi:10.1080/0361526X.2014.879805
  • Wang, W. , & Krishnan, E. (2014). Big data and clinicians: A review on the state of the science. JMIR Medical Informatics , 2 (1), e1. doi:10.2196/medinform.2913
  • Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage.

Internet sources

Other sources

  • City official 1 (CO1), leading role in the City Administration, the City of Turku. Survey. November 2015.
  • City official 2 (CO2), leading role in the City Administration, the City of Turku. Survey. November 2015.
  • Director 1 (D1), City Management, the City of Turku. Interview. January 2016.
  • Director 2 (D2), City Management, the City of Turku. Interview. January 2016.
  • Director 3 (D3), City Management, the City of Turku. Interview. January 2016.
  • Director 4 (D4), City Management, the City of Turku. Interview. January 2016.
  • Director 5 (D5), City Management, the City of Turku. Interview. January 2016.

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