Applying concepts of fuzzy cognitive mapping to model: The IT/IS investment evaluation process

被引:46
|
作者
Irani, Z [1 ]
Sharif, A [1 ]
Love, PED [1 ]
Kahraman, C [1 ]
机构
[1] Brunel Univ, Dept Informat Syst & Comp, ISEIG, Uxbridge UB8 3PH, Middx, England
关键词
investment justification; management of IT; project appraisal; fuzzy logic;
D O I
10.1016/S0925-5273(01)00192-X
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The justification process is a major concern for those organisations considering the development of an information technology (IT)/information systems (IS) infrastructure, which in turn is putting the competitive advantage of many companies at risk. The reason for this centers around management's inability to evaluate the holistic implication of adopting new technology, both in terms of the benefit and cost portfolios. In attempting to investigate this, the authors of this paper identify a number of well-known project appraisal techniques used during the IT/IS investment justification process. In establishing a number of limitations inherent in traditional appraisal techniques, the concept of multivalent, or fuzzy logic, is used to demonstrate how inter-relationships can be modeled between key dimensions identified in a proposed conceptual model for investment evaluation. The authors highlight this using fuzzy cognitive mapping (FCM) as a technique to model each IT/IS evaluation factor (integrating strategic, tactical, operational and investment considerations). The use of an FCM is then shown to be as a complementary tool that can serve to highlight interdependencies between contributory justification factors. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:199 / 211
页数:13
相关论文
共 50 条
  • [31] Investment Portfolio Evaluation by the Fuzzy Approach
    Lambovska, Maya
    Marchev, Angel
    [J]. JOURNAL OF COMPETITIVENESS, 2011, (03) : 13 - 26
  • [32] Fuzzy Comprehensive Evaluation Model Applying in the Modification Evaluation of High Energy Nitramine Gun Propellant
    Guo, Zhi-Gang
    Li, Man-Man
    Wang, Feng
    Yu, Hui-Fang
    Wei, Lun
    Wang, Qiong-Lin
    [J]. Hanneng Cailiao/Chinese Journal of Energetic Materials, 2024, 32 (08): : 855 - 863
  • [33] Application of the analytic hierarchy process based on fuzzy simulation in the evaluation of venture investment projects
    Zhao, Zhen-wu
    Tang, Wan-sheng
    [J]. International Conference on Management Innovation, Vols 1 and 2, 2007, : 1147 - 1150
  • [34] Risk evaluation method of renewable energy investment based on fuzzy analytic hierarchy process
    Li, Weina
    Cui, Zhinan
    Tang, Xiaochun
    [J]. INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2023, 45 (02) : 153 - 165
  • [35] Towards a Dual Process Cognitive Model for Argument Evaluation
    Bisquert, Pierre
    Croitoru, Madalina
    de Saint-Cyr, Florence Dupin
    [J]. SCALABLE UNCERTAINTY MANAGEMENT (SUM 2015), 2015, 9310 : 298 - 313
  • [36] Applying a fuzzy questionnaire in a peer review process
    Jonas, Tamas
    Toth, Zsuzsanna Eszter
    Arva, Gabor
    [J]. TOTAL QUALITY MANAGEMENT & BUSINESS EXCELLENCE, 2018, 29 (9-10) : 1228 - 1245
  • [37] Applying total quality concepts to continuous process redesign
    Natl Univ of Singapore, Singapore
    [J]. Int J Inf Manage, 2 (83-93):
  • [38] Applying total quality concepts to continuous process redesign
    Sia, CL
    Tan, BCY
    Teo, HH
    Wei, KK
    [J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 1997, 17 (02) : 83 - 93
  • [39] A real option theoretic fuzzy evaluation model for enterprise resource planning investment
    You, Chew Jian
    Lee, C. K. M.
    Chen, S. L.
    Jiao, Roger J.
    [J]. JOURNAL OF ENGINEERING AND TECHNOLOGY MANAGEMENT, 2012, 29 (01) : 47 - 61
  • [40] A fuzzy comprehensive evaluation model of investment risk in high-tech project
    Xu, XS
    Dan, ZY
    Wu, JM
    [J]. '99 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, PROCEEDINGS, VOLS 1 AND 2, 1999, : 1176 - 1179