Evaluating IT/IS investments: A fuzzy multi-criteria decision model approach

Chou, Tzy-Yuan; Chou, Shu-Hsien; Tzeng, Gwo‐Hshiung

doi:10.1016/j.ejor.2005.07.003

Cited by 95 publications

(67 citation statements)

References 31 publications

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“…Similar to [16] and [17], input is similar to consideration criteria whereas the output is the benefits of IT investment which the study further divided into strategic, information, and transactional benefits. Under output criteria, a list of nine benefits metrics of IT investment identified.…”

Section: It Investment Values and Benefitsmentioning

confidence: 99%

“…Consideration criteria are the requirements to be satisfied in order for the IT investment to be successful, whereas benefits criteria are the evaluation of values or benefits of the IT investment. [16] identifies five consideration criteria and one benefit criteria, whereas [17] identifies four consideration criteria and one benefit criteria. A total of ten and nine metrics for benefits evaluations are proposed by [16] and [17] respectively.…”

Section: It Investment Values and Benefitsmentioning

confidence: 99%

“…[16] and [17] propose evaluation of IT investment that based on considerations and benefits criteria. Consideration criteria are the requirements to be satisfied in order for the IT investment to be successful, whereas benefits criteria are the evaluation of values or benefits of the IT investment.…”

Section: It Investment Values and Benefitsmentioning

confidence: 99%

“…Most of the studies perform empirical works and data are collected from many sectors such as manufacturing [18] service [17] public [15] and energy [6]. Some studies propose guidelines [6], [13] and some propose techniques for evaluation [6], [18] such as AHP, Fuzzy logic, and Multi Criteria Decision Making (MCDM).…”

Section: It Investment Values and Benefitsmentioning

confidence: 99%

See 3 more Smart Citations

Value Delivery of Information Technology Investment: A Conceptual Framework

Ahmad¹,

Arshad²

2014

IJTEF

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Abstract-Organizations, be it private or public, are making huge spending on information technology (IT). These spending, whether for productivity or strategic reasons, become the fundamentals and tools on how organizations evaluate their IT investment. Evaluating every investment, before and after being made, is very crucial for organizations in determining successful decision that has or will be set. Especially when decision to invest is onset, the expectation of values or benefits from the investment become substantial to arrive at such decision to invest. This study reviews and analyzes eight pertinent studies that model IT investment values and benefits and propose a model to describe the value delivery of an IT investment evaluation. Based on two-staged filtration method, 110 variables are narrowed and converge into 23 variables which categorized into five factors. In this paper, the five factors of IT investments value delivery are discussed which are financial, operational, organizational, strategic, and service.

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Section: It Investment Values and Benefitsmentioning

confidence: 99%

Section: It Investment Values and Benefitsmentioning

confidence: 99%

Section: It Investment Values and Benefitsmentioning

confidence: 99%

Section: It Investment Values and Benefitsmentioning

confidence: 99%

See 2 more Smart Citations

Value Delivery of Information Technology Investment: A Conceptual Framework

Ahmad¹,

Arshad²

2014

IJTEF

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“…The improvement of multi-criteria models, like AHP and PROMEETE [1,7,23,32,38] The implementation of fuzzy logic in the analysis of projects [5, 12, 13, 17 19, 24, 37] The problem of IT-projects evaluation is the large number of inputs and the lack of quantified information on them. Gunasekaran et al [11] have analyzed IT-projects evaluation, including analysis of material and intangible benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

Tools for Assessment of Intellectual Assets of Enterprise Based on Fuzzy Information

Tkachenko¹,

Rocco²,

Bodrunov³

et al. 2017

Proceedings of the International Conference on Trends of Technologies and Innovations in Economic and Social Studies 2017

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-This article is dedicated to the application of mathematical tools of fuzzy logic theory for the financial assessment of intellectual assets. Intellectual capital (IC) represents a special kind of capital. Intellectual assets form a potential source of company's value growth through the creation of new knowledge and its implementation in company's activities. The basis of IC is formed by speculative and cogitative power of persons, together with such factors as consumer relations, business processes, databases, brands, and IT systems. IC components shaping and developing require investments. Results measurability has always been a major problem when making investment decisions in relation to IC. For companies' financial managers, intellectual (intangible) assets are very often feebly measured up against financial results of the company. As the result of developing an analytical model, based on mathematical tools for fuzzy sets, fuzzy input information has been processed, and the results for making optimal investment decision have been obtained. The efficiency of the transfer to cloud-based computing is convincingly substantiated in the terms, interpretable by financial managers of a company.

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A fuzzy approach to economic freedom performance

Benli,

Çağlar

2024

International Studies of Economics

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This study aims to determine the most important component of economic freedom and to rank the performance of countries using multiple criteria decision‐making tools within the context of fuzzy set theory. To do so, we utilize a combination of fuzzy entropy weighting and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) methods to assess the economic freedom performance of 122 countries for the period 2000–2020. The findings suggest that the stability and reliability of a country's monetary system is the most crucial attribute for economic freedom performance. This implies that a stable and reliable monetary system is considered a fundamental aspect of economic freedom. Based on the TOPSIS analysis, the top 10 best‐performing countries/regions in terms of economic freedom are Hong Kong, Singapore, Switzerland, New Zealand, the United States, the United Kingdom, Australia, Canada, Denmark, and Ireland. On the other hand, Venezuela, Myanmar, Congo Republic, Algeria, Syrian Arab Republic, Congo Democratic Republic, Zimbabwe, Central African Republic, Chad, and Iran are the worst‐performing countries.

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Evaluating IT/IS investments: A fuzzy multi-criteria decision model approach

Cited by 95 publications

References 31 publications

Value Delivery of Information Technology Investment: A Conceptual Framework

Value Delivery of Information Technology Investment: A Conceptual Framework

Tools for Assessment of Intellectual Assets of Enterprise Based on Fuzzy Information

A fuzzy approach to economic freedom performance

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