Modelling students’ perception on factors influence acceptance of research related software using multi-criteria decision analysis (MCDA) methods
This paper presents a case study of modeling user acceptance of research related software using multi-criteria decision analysis (MCDA) methods. Evaluation of user acceptance is crucial because success or failure of any technology depends on the acceptance by the users of the technology. Althoug...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/44352/ http://irep.iium.edu.my/44352/5/ukci2011_submission_25.pdf |
| Summary: | This paper presents a case study of modeling user
acceptance of research related software using multi-criteria decision
analysis (MCDA) methods. Evaluation of user acceptance
is crucial because success or failure of any technology depends
on the acceptance by the users of the technology. Although
various models are available to address user acceptance factors,
none discuss the formal methodology to assign importance to
the factors. In this paper, we study the use of multi-criteria
decision analysis (MCDA) methods, which we believe may be
able to address this limitation. A case study is conducted to
achieve two objectives. Firstly, to model our proposed evaluation
framework of user acceptance using MCDA methods. Secondly,
to compare various MCDA methods used to rank the factors.
The results demonstrate that except for the FAHP (��) method,
all other methods produced similar ranking of the global user
acceptance factors. In terms of ranking of the sub-factors, all
methods produced the same results except for the ‘average’
method. We conclude that MCDA methods can successfully be used in this context. |
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