Visualising a knowledge mapping of information systems investment evaluation

Zahir Irani, Amir Sharif, Muhammad Mustafa Kamal, Peter E.D. Love

Research output: Contribution to journalArticle

34 Citations (Scopus)
1 Downloads (Pure)

Abstract

Information systems (IS) facilitate organisations to increase responsiveness and reduce the costs of their supply chain. This paper seeks to make a contribution through exploring and visualising knowledge mapping from the perspective of IS investment evaluation. The evaluation of IS is regarded as a challenging and complex process, which becomes even more difficult with the increased complexity of IS. The intricacy of IS evaluation, however, is due to numerous interrelated factors (e.g. costs, benefits and risks) that have human or organisational dimensions. With this in mind, there appears to be an increasing need to assess investment decision-making processes, to better understand the often far-reaching implications associated with technology adoption and interrelated knowledge components (KC). Through the identification and extrapolation of key learning issues from the literature and empirical findings, organisations can better improve their business processes and thereby their effectiveness and efficiency, while preventing others from making costly oversights that may not necessarily be only financial. In seeking to enlighten the often obscure evaluation of IS investments, this paper attempts to inductively emphasise the dissemination of knowledge and learning through the application of a fuzzy Expert System (ES) based knowledge mapping technique (i.e. Fuzzy Cognitive Map [FCM]). The rationale for exploring knowledge and IS investment evaluation is that a knowledge map will materialise for others to exploit during their specific technology evaluation. This is realised through conceptualising the explicit and tacit investment drivers. Among the several findings drawn from this research, the key resulting knowledge mapping through FCM demonstrated the complex, multifaceted and emergent behaviour of causal relationships within the knowledge area. The principal relationships and knowledge within IS investment evaluation are illustrated as being determined by a blend of managerial and user perspectives.

Original languageEnglish
Pages (from-to)105-125
Number of pages21
JournalExpert Systems with Applications
Volume41
Issue number1
Early online date17 Jul 2013
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

Fingerprint

Information systems
Extrapolation
Expert systems
Supply chains
Costs
Decision making
Industry

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications,[41] [1], (2014) DOI: 10.1016/j.eswa.2013.07.015

© 2014, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Expert Systems
  • IS investment evaluation
  • Knowledge components
  • Knowledge management
  • Knowledge mapping
  • Supply chain management

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

Visualising a knowledge mapping of information systems investment evaluation. / Irani, Zahir; Sharif, Amir; Kamal, Muhammad Mustafa; Love, Peter E.D.

In: Expert Systems with Applications, Vol. 41, No. 1, 01.01.2014, p. 105-125.

Research output: Contribution to journalArticle

Irani, Zahir ; Sharif, Amir ; Kamal, Muhammad Mustafa ; Love, Peter E.D. / Visualising a knowledge mapping of information systems investment evaluation. In: Expert Systems with Applications. 2014 ; Vol. 41, No. 1. pp. 105-125.
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