Towards an Understanding Business Intelligence. A Dynamic Capability-Based Framework for Business Intelligence

被引:0
|
作者
Olszak, Celina M. [1 ]
机构
[1] Katowice Univ Econ, PL-40287 Katowice, Poland
关键词
RESOURCES;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although Business Intelligence (BI) is one of the most essential technologies to be purchased, the implementation of many BI applications fails. The reasons for this failure are not clear and still not well investigated. Resource-based View (RBV) and dynamic capability theory could help to overcome this gap and to provide an appropriate theoretical basis for future research in BI area. It is considered that BI capabilities may be critical functionalities that help organizations to improve their performance and adopt to environmental change. The research objectives for this study are: (1) conceptualization and discussion on BI dynamic capability, (2) building the comprehensive framework of BI capabilities. In order to address these objectives, the remainder of the paper is structured as follows: The first sections provide the theoretical foundations of BI, RBV and dynamic capability theory. Next, the BI capability was conceptualized. Finally, a model of BI as a dynamic capability, was proposed. The study was based mainly on: (1) a critical analysis of literature, (2) an observation of different BI initiatives undertaken in various organizations, as well as on (3) interviews with managers and experts in BI. The results of this study can be used by IT and business leaders as they plan and develop BI capabilities in their organizations.
引用
收藏
页码:1103 / 1110
页数:8
相关论文
共 50 条
  • [31] LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE Towards an Integrated Framework
    Otten, S. F. J.
    Spruit, M. R.
    KDIR 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2011, : 460 - 464
  • [32] Business Intelligence for Business Intelligence: A case study at STMicroelectronics
    Brichni, Manel
    Dupuy-Chessa, Sophie
    Gzara, Lilia
    Mandran, Nadine
    Jeannet, Corinne
    2015 IEEE 9TH INTERNATIONAL CONFERENCE ON RESEARCH CHALLENGES IN INFORMATION SCIENCE (RCIS), 2015, : 239 - 249
  • [33] Developing a Framework for Business Intelligence Systems Integration Based on Ontology
    Xu Xi
    Xu Hongfeng
    2009 INTERNATIONAL CONFERENCE ON NETWORKING AND DIGITAL SOCIETY, VOL 2, PROCEEDINGS, 2009, : 288 - +
  • [34] Social media and business intelligence: defining and understanding social media intelligence
    Dutot, Vincent
    Mosconi, Elaine
    JOURNAL OF DECISION SYSTEMS, 2016, 25 (03) : 191 - 192
  • [35] A framework for ontology-based temporal modelling of business intelligence
    Mikroyannidis, Alexander
    Theodoulidis, Babis
    KNOWLEDGE MANAGEMENT RESEARCH & PRACTICE, 2012, 10 (02) : 188 - 199
  • [36] Developing a Framework for Business Intelligence Systems Based on RosettaNet Frame
    Xie, Qing-sheng
    Zhou, Gui-xian
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 9121 - +
  • [37] Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation
    Jackson, Ilya
    Ivanov, Dmitry
    Dolgui, Alexandre
    Namdar, Jafar
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2024, 62 (17) : 6120 - 6145
  • [38] Business Intelligence in the Business Curriculum
    Sircar, Sumit
    COMMUNICATIONS OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2009, 24 : 289 - 302
  • [39] Business intelligence in the business curriculum
    Sircar, Sumit
    Communications of the Association for Information Systems, 2009, 24 (01): : 289 - 302
  • [40] Business justification with business intelligence
    Ranjan, Jayanthi
    VINE, 2008, 38 (04): : 461 - 475