Business Intelligence System Design and its Consequences for Knowledge Sharing, Collaboration, and Decision-Making

Author:

Mola Lapo1,Rossignoli Cecilia2,Carugati Andrea3,Giangreco Antonio4

Affiliation:

1. SKEMA Business School, LSMRC, France

2. Università degli Studi di Verona, Italy

3. Aarhus University, Denmark & IESEG School of Management (LEM - CNRS UMR 9221), France

4. IESEG School of Management (LEM-CNRS UMR 9221), Catholic University of 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.

Publisher

IGI Global

Reference53 articles.

1. Addas, S., & Pinsonneault, A. (2013). “IT interruptions and coordination effectiveness in software development groups: a conceptual, multilevel model.” SIGHCI 2013 Proceedings, Paper 26, http://aisel.aisnet.org/sighci2013/26

2. Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues

3. Horizontal vs. vertical information structure of the firm.;M.Aoki;The American Economic Review,1986

4. Decision support systems evolution: framework, case study and research agenda

5. A Critical Analysis of Decision Support Systems Research

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3