A comprehensive model for selecting information system project under fuzzy environment

Chen, Chen‐Tung Arthur; Cheng, Hui-Ling

doi:10.1016/j.ijproman.2008.04.001

Cited by 86 publications

(50 citation statements)

References 40 publications

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“…The results of the test of hypothesis 2 reveal that environment does not directly affect the selection of information system project which is contrary to (Wei et al, 2007;Chen & Cheng, 2009;Wang et al, 2009). In Wei's (2007) study of the effect of environment on project selection, the environment is highly considered in making the decision.…”

Section: Discussionmentioning

confidence: 93%

“…The examination of the financial measures for several years and the results revealed that technology affects information system project selection. In another study, Chen (2009) examines the information system project selection with many factors such as, business goals, benefits, risks of the project and the limited resources available. His study used the method of multi-criteria decision-making (MCDM) to select a project information system based on fuzzy measurements.…”

Section: Information Technologymentioning

confidence: 99%

“…In addition, environmental decision-making should be considered in light of the strategic goals of the organization. Furthermore, Chen (2009) examined the information system project selection that takes place if the information is incomplete, vague and uncertain. In his study, he presented methods of multi-criteria decision making.…”

Section: Environmentmentioning

confidence: 99%

See 2 more Smart Citations

The Influence of Technology, Environment and User Acceptance on the Effectiveness of Information System Project Selection Using SEM

Syaifudin¹,

Abdullah²,

Udin³

et al. 2013

JSAR

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The selection of the present information system project is difficult because of the many factors that influence it. Information system project should pay attention to the user acceptance, technology and the environment in terms of their influence on the information system project selection. The purpose of this paper is to determine how much influence user acceptance, technology and the environment have on the information system project selection. This research uses data obtained from several ministries and analyzed using SEM (Structural Equation Models). The results found that the technology and the environment affects user acceptance. Moreover, technology and environment affect the effectiveness of the information systems project selection through the mediating effect of user acceptance. User acceptance, tested by the incorporation of usefulness and ease of use, the results are more modest and in line with previous theories. Furthermore, the external environment highly impacts the information system project selection.

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Section: Discussionmentioning

confidence: 93%

Section: Information Technologymentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Technology, Environment and User Acceptance on the Effectiveness of Information System Project Selection Using SEM

Syaifudin¹,

Abdullah²,

Udin³

et al. 2013

JSAR

View full text Add to dashboard Cite

show abstract

“…A fuzzy ontology consists of six components: (i) the specific concepts, (ii) fuzzy concepts, (iii) precise relationship, (iv) fuzzy relations, (v) axioms and (vi) instances "Ref. [17]". In our case, in addition to three specific components, we will be interested in fuzzy concepts and axioms relating to these concepts.…”

Section: Fuzzy Ontologymentioning

confidence: 99%

Fuzzy Ontology-based Approach for the Requirements Query Imprecision Assessment in Data Warehouse Design Process near Negative Fuzzy Operator

Abdelmadjid¹,

Malki²,

Boukhalfa³

et al. 2018

IJITCS

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Abstract-The vagueness in decision-making may be due to ambiguity in the decisional requirements expression. Therefore, in the literature dealing with vagueness in decision systems, studies were concentrated on data vagueness and not on decision requirements. In order to evaluate the expression in decision-making requirements and in order to improve the data warehouses design quality, this paper presents a rigorous fuzzy ontologybased solution.Based on the latest Zadeh theory "Ref.[1]", Authors in "Ref. [2.3]", propose a solution consisting in using ontologies to provide "an understanding of how the meaning of a proposal can be composed of the meaning of its constituents. One of the limitations of this solution is the fuzziness presence only at the adjective sentence. In some sense, our proposal can be seen as a continuation of that work. We limit our study, in this paper to the "Near negative" operator case. To the best of our knowledge, this case has not been addressed yet in the data warehouse context.

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“…In practice, there are uncertainty (Chen, 2002;Chen & Cheng, 2009) associated with qualitative pairwise comparisons and data are given in an uncertain form. Öztaysi (2015) used a group decision making approach using interval type-2 fuzzy (Zadeh 1965(Zadeh , 1978(Zadeh , 1996 AHP for project selection.…”

Section: Fig 1 Analytical Hierarchy Processmentioning

confidence: 99%

A state-of-art survey on project selection using MCDM techniques

Sadi‐Nezhad¹

2017

10.5267/j.jpm

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Project selection is considered as the first essential part of project portfolio management. Project selection is also considered as a process to evaluate each project idea and chooses the one with the biggest priority. Project selection plays an essential role in the entire life cycle of different projects. This paper presents a survey for project selection using multiple criteria decision making techniques. The study considers 60 papers from over the period 1980-2017. The results of the survey have indicated that integration of Order of Preference by Similarity to Ideal Solution (TOPSIS) and analytical hierarchy process/analytical network process was the most popular techniques for project selection followed by VIKOR method.2017 Growing Science Ltd.

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A comprehensive model for selecting information system project under fuzzy environment

Cited by 86 publications

References 40 publications

The Influence of Technology, Environment and User Acceptance on the Effectiveness of Information System Project Selection Using SEM

The Influence of Technology, Environment and User Acceptance on the Effectiveness of Information System Project Selection Using SEM

Fuzzy Ontology-based Approach for the Requirements Query Imprecision Assessment in Data Warehouse Design Process near Negative Fuzzy Operator

A state-of-art survey on project selection using MCDM techniques

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