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Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making: An Exploratory Study

Author

Listed:
  • Lapo Mola

    (SKEMA Business School, LSMRC, Lille Nord de France, France)

  • Cecilia Rossignoli

    (Università degli Studi di Verona, Verona, Italy)

  • Andrea Carugati

    (School of Business and Social Sciences, Aarhus University, Aarhus, Denmark & IESEG School of Management (LEM - CNRS UMR 9221), Lille, France)

  • Antonio Giangreco

    (IESEG School of Management (LEM-CNRS UMR 9221), Catholic University of Lille, Lille, France)

Abstract

This exploratory study analyses the effects of the technical and organisational characteristics of business intelligence systems (BIS) on knowledge sharing, collaboration, and decision-making processes. The authors conducted a two-phase multi-method investigation. First, we surveyed 30 enterprises using BIS on a regular basis; then, we engaged in an in-depth case study with one of the respondent companies. Our results show that, on average, the technical and organisational characteristics of the BIS are positively associated with an increase in knowledge sharing, leading to an improvement in internal collaboration that subsequently brings improvement in the quality of decision-making. This case study adds that the way the BIS is designed and appropriated in organisations is important in obtaining such results is. A BIS being designed so that it can be appropriated by the general employee base is key in obtaining the desired organizational impacts. This suggests some requirements for BIS design that we will discuss in terms of theoretical and managerial implications.

Suggested Citation

  • Lapo Mola & Cecilia Rossignoli & Andrea Carugati & Antonio Giangreco, 2015. "Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making: An Exploratory Study," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 11(4), pages 1-25, October.
    • Handle: RePEc:igg:jthi00:v:11:y:2015:i:4:p:1-25
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    Cited by:

    1. Ana-Marija Stjepić & Mirjana Pejić Bach & Vesna Bosilj Vukšić, 2021. "Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework," JRFM, MDPI, vol. 14(2), pages 1-18, February.
    2. Choi, Jaewoong & Jeong, Byeongki & Yoon, Janghyeok, 2019. "Technology opportunity discovery under the dynamic change of focus technology fields: Application of sequential pattern mining to patent classifications," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

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