Modelling students’ perception on factors influence acceptance of research related software using multi-criteria decision analysis (MCDA) methods

Mohamadali, Noor Azizah and Garibaldi, Jonathan (2011) Modelling students’ perception on factors influence acceptance of research related software using multi-criteria decision analysis (MCDA) methods. In: The 11th Workshop on Computational Intelligence, 7th - 9th September 2011, Kilburn Building. (Unpublished)

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	3904/44352
Uncontrolled Keywords:	perception, acceptance, software, multi-criteria decision analysis (MCDA)
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Mrs Noor Azizah Mohamadali
Date Deposited:	25 Aug 2015 09:04
Last Modified:	25 Aug 2015 09:04
URI:	http://irep.iium.edu.my/id/eprint/44352

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