International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Evaluating the Business Intelligence in Organizational Decisions using an integrated ANP, DEMATEL and TOPSIS Approach

Author Affiliations

  • 1Department of Information Technology Management, Electronic Branch, Islamic Azad University, Tehran, IRAN
  • 2Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, IRAN

Res. J. Recent Sci., Volume 4, Issue (6), Pages 116-131, June,2 (2015)

Abstract

Decision making is critical in any business and always all businesses are involved in decision making. Such decisions influence cost, productivity, quality and performance. Thus, the success key in every organization is selection proper choice and appropriate decision making. Business intelligence is a novel approach in the organizational business and architecture which makes managers prepared for decision making and provides relatively comprehensive and realistic analysis of the institution's condition through rapid data access and analysis. Hence, current research work aims at identifying effective factors of business intelligence in organizational decisions and determining significance degree of the factors and specifying the main factor. It is an applied research work in terms of purpose of study and it is qualitative study in terms of data. Nature of the research method is descriptive survey. Statistical population includes 100 senior, middle and operational managers in Islamic Revolution Mostazafan Foundation (Foundation of the Oppressed and Disabled or "MFJ"). Statistical sample was selected non-randomly. This work provides an integrated model taken from Analytic Network Process (ANP), Dematel, and TOPSIS and proposes solution of supporting analytical and intelligent decision making as the best solution for evaluating business intelligence in organizational decisions and makes some recommendations for the future works.

References

  1. Olszak C.M. and Ziemba E, Approach to building and implementing business intelligence systems,Interdisciplinary Journal of Information, Knowledge and Management, 2, 135-148 (2007)
  2. Arnott D., Gibson M. and Jagielska I., Evaluating the intangible benefits of business intelligence: Review and research agenda, The IFIP TC8/WG8.3 International Conference,1-11 (2004)
  3. Negash S., Business intelligence, Communications of the Association for Information Systems, 13, 177-195 (2004)
  4. Matei G.A., Collaborative approach of business intelligence systems, Journal of Applied Collaborative Systems, 2(2), 91-101 (2010)
  5. Koronios A. and Yeoh W., Critical success factors for business intelligence systems, Journal of Computer Information Systems, 23-32 (2010)
  6. Cody W.F., Kreulen J.T., Krishna V. and Spangler W.S.,The integration of business intelligence and knowledgemanagement, IBM Systems Journal, 41(4), 697-713(2002)
  7. Shi Z., Wang M., Wu W., Xu L. and Zeng L.,Techniques, process, and enterprise solutions of business intelligence, Systems, Man and Cybernetics, 2006.SMC'06. IEEE International Conference, 4722-4726(2006)
  8. Ghoshal S. and Kim S.K., Building Effective Intelligence Systems for Competitive Advantage, Sloan Management Review, 28(1), 49–58 (1986)
  9. Azoff M. and Charlesworth I., The New Business Intelligence, A European Perspective, Butler Group,White Paper, (2004)
  10. Baars H. and Kemper H., Management support with structured and unstructured data: An integrated business intelligence framework, Information Systems Management, 25(2), 132–148 (2008)
  11. Coman M., Duica M., Radu V. and Stefan V., Enterprise performance management with business intelligence solutions, (2010)
  12. Barone D., Jiang L., Mylopoulus J., Won J. and Yu E.,Enterprise modeling for business intelligence, _c IFIP International Federation for Information Processing, LNBIP, 68, 45-31 (2010)
  13. Esat F., Hart M., Khatieb Z. and Rocha M., Introducing students to business intelligence: Acceptance and perceptions of OLAP software, Informing Science and Information Technology, 4, 105-123 (2007)
  14. Lloyd J., Identifying Key Components of Business Intelligence Systems and Their Role in Managerial Decision making, Continuing Education, 1277 University of Oregon, Eugene, OR 97403-1277, (800) 824-2714 (2011)
  15. Watson H.J. and Wixom B.H., The current state of business intelligence, Computer, 40(9), 96-99 (2007)
  16. Ghazanfari M., Jafari M. and Rouhani S., A tool to evaluate the business intelligence of enterprise systems, Transactions E: Industrial Engineering,www.sciencedirect.com, Scientia Iranica, E18(6), 1579–1590 (2011)
  17. Tzeng G, Chiang C. and Li C., Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL, Expert Systems with Applications, 32(4), 1028–1044 (2007)
  18. Wu W., Choosing knowledge management strategies by using a combined ANP and DEMATEL approach, Expert Systems with Applications, 5(3), 828–835 (2008)
  19. Gabus A. and Fontela E., World problems an invitation to further thought within the framework of DEMATEL ,(1972)