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Exploitation and Exploration Underpin Business and Insights Underpin Business Analytics

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Building Sustainable Health Ecosystems (WIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 636))

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Abstract

The revolutionary development in the cognitive computing is connected with natural language processing. For example, the IBM Watson Personality Insights service is research-based and IBM’s intuition is that writing always reflects the author’s personality. The IBM Watson Personality Insights service provides a list of the behaviors that the personality is likely (e.g., treat yourself) or unlikely (e.g., put health at risk) to manifest. However, the usefulness of the objective insights has to figure out in the business context in where the organizations have to perform and conform they duties. Furthermore, the organizations have to predict the future outcomes within several business analytics. In this paper, the ideas around organizational ambidexterity (i.e., exploitation and exploration) are used to clarify the meaning of the objective insights. The objective insights increase the behavior-centric value propositions, as well as, decrease the number of stakeholder-centric business analytics.

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References

  1. http://www.kdnuggets.com/2016/01/businesses-need-one-million-data-scientists-2018.html

  2. Skibsted, L.A.: Cognitive Business (2016)

    Google Scholar 

  3. Lohr, S.: Data-Ism – Inside the Big Data Revolution. Harper Business, New York (2015)

    Google Scholar 

  4. ISO/IEC 2382:2015. Information Technology — Vocabulary. https://www.iso.org/obp/ui/#iso:std:iso-iec:2382:ed-1:v1:en:term:2122971

  5. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/personality-insights.html

  6. IBM. https://personality-insights-livedemo.mybluemix.net/

  7. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/

  8. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/guidance.shtml

  9. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/sample.shtml

  10. IBM. https://developer.ibm.com/watson/blog/2016/01/12/personality-meets-behavior-the-new-ibm-watson-personality-insights-demo/Batista

  11. IBM. http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/usecases.shtml

  12. IBM. https://your-celebrity-match.mybluemix.net/

  13. IBM. http://investment-advisor.mybluemix.net/

  14. ISO 9000:2015 Quality Management Systems — Fundamentals and Vocabulary

    Google Scholar 

  15. Birkinshaw, J., Gupta, K.: Clarifying the distinctive contribution of ambidexterity to the field of organization studies. Acad. Manag. Perspect. 27(4), 287–298 (2013)

    Article  Google Scholar 

  16. Bøe-Lillegraven, T.: Untangling the ambidexterity dilemma through big data analytics. J. Organ. Des. 3(3), 27–37 (2014)

    Google Scholar 

  17. Ahlemeyer-Stubbe, A., Coleman, S.: A Practical Guide to Data Mining for Business and Industry, pp. 35–36. Wiley, Hoboken (2014)

    Book  Google Scholar 

  18. Lanigan, R.L.: Capta versus data: method and evidence in communicology. Human Stud. 17(1), 109–130 (1994). Phenomenology in Communication Research

    Article  Google Scholar 

  19. TOGAF. http://pubs.opengroup.org/architecture/togaf9-doc/arch/chap34.html

  20. ISO/IEC 38500:2015. Information Technology — Governance of IT for the Organization. https://www.iso.org/obp/ui#iso:std:iso-iec:38500:ed-2:v1:en:term:2.9

  21. Marr, B.: The Intelligent Company: Five Steps to Success with Evidence-Based Management. Wiley, Hoboken (2010)

    Google Scholar 

  22. Marr, B.: Key Performance Indicators: The 75 Measures Every Manager Needs to Know. Wiley, Hoboken (2012)

    Google Scholar 

  23. Marr, B.: Key Business Analytics – The 60 + Business Analytics Tools Every Managers Need to Know. Wiley, Hoboken (2016)

    Google Scholar 

  24. Marr, B.: From Big Data to Real Business Value: The Smart Approach and 3 More Use-Cases. Wiley (2016). http://www.cgma.org/Magazine/Features/Documents/SMART-strategy-board.pdf

  25. O’Really, C., Tushman, M.: Organizational ambidexterity: past, present, and future. Acad. Manag. Perspect. 27(4), 324–328 (2013)

    Article  Google Scholar 

  26. HBR. https://hbr.org/2004/04/the-ambidextrous-organization

  27. BMC. https://canvanizer.com/new/business-model-canvas

  28. Ash, M.: Why Lean Canvas vs Business Model Canvas? https://leanstack.com/why-lean-canvas/

  29. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/references.shtml#costa1992

  30. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/basics.shtml

  31. IBM. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/resources/PI-Facet-Characteristics.pdf

  32. https://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc/personality-insights/models.shtml

  33. IBM. https://www.ibm.com/cloud-computing/bluemix/watson/

  34. Rauhala, L.: Ihminen kulttuurissa – kulttuuri ihmisessä. Gaudeamus (2009)

    Google Scholar 

  35. Rauhala, L.: Tajunnan itsepuolustus. Yliopistopaino (1995)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing, University of Eastern Finland, Kuopio, Finland

    Virpi Hotti & Ulla Gain

Authors
  1. Virpi Hotti
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  2. Ulla Gain
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Corresponding author

Correspondence to Virpi Hotti .

Editor information

Editors and Affiliations

  1. University of Turku, Turku, Finland

    Hongxiu Li

  2. University of Tampere, Tampere, Finland

    Pirkko Nykänen

  3. University of Turku, Turku, Finland

    Reima Suomi

  4. Deakin University, Melbourne, Australia

    Nilmini Wickramasinghe

  5. Åbo Academi University, Turku, Finland

    Gunilla Widén

  6. Åbo Academi University, Turku, Finland

    Ming Zhan

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© 2016 Springer International Publishing Switzerland

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Hotti, V., Gain, U. (2016). Exploitation and Exploration Underpin Business and Insights Underpin Business Analytics. In: Li, H., Nykänen, P., Suomi, R., Wickramasinghe, N., Widén, G., Zhan, M. (eds) Building Sustainable Health Ecosystems. WIS 2016. Communications in Computer and Information Science, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-44672-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-44672-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44671-4

  • Online ISBN: 978-3-319-44672-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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