IDEAS home Printed from https://ideas.repec.org/a/osi/journl/v9y2013p27-42.html
   My bibliography  Save this article

The Impact Of Right-Time Business Intelligence On Organizational Behavior

Author

Listed:
  • Danijel Bara

    (Jadransko osiguranje JSC, Republic of Croatia)

  • Nedeljko Knezevic

    (Jadransko osiguranje JSC, Republic of Croatia)

Abstract

In today’s business world, speed of decision making is critical to the achievement of excellence and success that is refl ected in the standard range of business objectives in terms of increasing the volume of sales, and to retain and increase market share of the company. As to make quality business decisions it must be based on quality information and knowledge. The aim of this paper is to show how well placed Right-Time Business Intelligence systems contribute to a good business decision making at all levels of the company. Such Business Intelligence systems aff ect organizational behavior for all company employees by creating an organization that continuously learns. Companies set up in a way that business decisions are made on the basis of the positive effects of a continuous process of learning will consequently bring quality business results.

Suggested Citation

  • Danijel Bara & Nedeljko Knezevic, 2013. "The Impact Of Right-Time Business Intelligence On Organizational Behavior," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 9, pages 27-42.
    • Handle: RePEc:osi:journl:v:9:y:2013:p:27-42
    as

    Download full text from publisher

    File URL: http://www.efos.hr/repec/osi/journl/PDF/InterdisciplinaryManagementResearchIX/IMR9a02
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    2. Martin J. Eppler, 2006. "Managing Information Quality," Springer Books, Springer, edition 0, number 978-3-540-32225-2, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang-Yang Lee & Ji-Hwan Lee & Ajai S. Gaur, 2017. "Are large business groups conducive to industry innovation? The moderating role of technological appropriability," Asia Pacific Journal of Management, Springer, vol. 34(2), pages 313-337, June.
    2. Fors, Gunnar & Zejan, Mario, 1996. "Overseas R&D by Multinationals in foreign Centers of Excellence," SSE/EFI Working Paper Series in Economics and Finance 111, Stockholm School of Economics.
    3. Sakakibara, Mariko, 1997. "Evaluating government-sponsored R&D consortia in Japan: who benefits and how?," Research Policy, Elsevier, vol. 26(4-5), pages 447-473, December.
    4. Henri A. Schildt & Markku V.J. Maula & Thomas Keil, 2005. "Explorative and Exploitative Learning from External Corporate Ventures," Entrepreneurship Theory and Practice, , vol. 29(4), pages 493-515, July.
    5. Kuosmanen, Natalia & Valmari, Nelli, 2023. "Renewal of Companies Through Product Switching," ETLA Working Papers 104, The Research Institute of the Finnish Economy.
    6. Andrés Langebaek R. & Diego Vásquez E., 2007. "Determinantes de la actividad innovadora en la industria manufacturera colombiana," Borradores de Economia 433, Banco de la Republica de Colombia.
    7. Grunfeld, Leo A., 2003. "Meet me halfway but don't rush: absorptive capacity and strategic R&D investment revisited," International Journal of Industrial Organization, Elsevier, vol. 21(8), pages 1091-1109, October.
    8. Jarle Moen, 2005. "Is Mobility of Technical Personnel a Source of R&D Spillovers?," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 81-114, January.
    9. Reis, Anabela & Heitor, Manuel & Amaral, Miguel & Mendonça, Joana, 2016. "Revisiting industrial policy: Lessons learned from the establishment of an automotive OEM in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 113(PB), pages 195-205.
    10. Duan, Yunlong & Liu, Shuling & Cheng, Hao & Chin, Tachia & Luo, Xuan, 2021. "The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: Evidence from the Chinese manufacturing industry," International Journal of Production Economics, Elsevier, vol. 233(C).
    11. Qing Li & Long Hai Vo, 2021. "Intangible Capital and Innovation: An Empirical Analysis of Vietnamese Enterprises," Economics Discussion / Working Papers 21-02, The University of Western Australia, Department of Economics.
    12. Richard Harris & John Moffat, 2011. "R&D, Innovation and Exporting," SERC Discussion Papers 0073, Centre for Economic Performance, LSE.
    13. Francisco Más-Verdú & Jose Polo Otero & José García Quevedo, 2010. "Which firms want PhDs? The effect of the university-industry relationship on the PhD labour market," Working Papers 2010R02, Orkestra - Basque Institute of Competitiveness.
    14. Alexander Cordes & Ulrich Schasse, 2015. "The firm's evaluation of local research institutes and universities - an empirical analysis for Germany," ERSA conference papers ersa15p933, European Regional Science Association.
    15. Wipo, 2011. "World Intellectual Property Report 2011- The Changing Face of Innovation," WIPO Economics & Statistics Series, World Intellectual Property Organization - Economics and Statistics Division, number 2011:944, April.
    16. Isaksson, Olov H.D. & Simeth, Markus & Seifert, Ralf W., 2016. "Knowledge spillovers in the supply chain: Evidence from the high tech sectors," Research Policy, Elsevier, vol. 45(3), pages 699-706.
    17. Davide Consoli & Pier Paolo Patrucco, 2011. "Complexity and the Coordination of Technological Knowledge: The Case of Innovation Platforms," Chapters, in: Handbook on the Economic Complexity of Technological Change, chapter 8 Edward Elgar Publishing.
    18. Arie Y Lewin & Silvia Massini & Carine Peeters, 2020. "Absorptive capacity, socially enabling mechanisms, and the role of learning from trial and error experiments: A tribute to Dan Levinthal’s contribution to international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(9), pages 1568-1579, December.
    19. repec:use:tkiwps:1818 is not listed on IDEAS
    20. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    21. Banal-Estañol, Albert & Duso, Tomaso & Seldeslachts, Jo & Szücs, Florian, 2022. "R&D spillovers through RJV cooperation," Research Policy, Elsevier, vol. 51(4).

    More about this item

    Keywords

    business intelligence; right time business intelligence; decision support system; organizational behavior;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osi:journl:v:9:y:2013:p:27-42. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hrvoje Serdarusic, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/efosihr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.