Performance Evaluation of IT Industries Using SERVQUAL, DEA and FMCDM

Journal of System Management

مقاله 4، دوره 2، شماره 3 - شماره پیاپی 7، مهر 2016، صفحه 47-62

نوع مقاله: Research Paper

نویسندگان

Alireza Alinezhad^{* 1}؛ Ramin Hakimian²

¹Department of Industrial and Mechanical Engineering Qazvin Branch, Islamic Azad University, Qazvin, Iran,

²Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

 In developed countries, improvement has been made in service providing industries along with the improvements made in quality assurance and management skills and systems in the domain of manufacturing industries. Unfortunately, in developing countries, primary needs have led these countries to focus their attention illogically and solely on production and they disregard the quality of services. That is why this research aims at investigating service improvement in the domain of Information Technology. Nowadays, the role played by information technology and communication in economic growth is evident to everyone. Because of access to Internet, communication and information technology is considered one of the major elements in providing services and has improved the efficiency of this industry. Meanwhile, focusing on service quality is an efficient approach that results in customer orientation in an organization and is believed by our domestic organizations and companies to be an efficient method to satisfy customers’ demands and has been applied so many times. Presenting a compound approach, this research uses SERVQUAL as a tool for quality engineering of services, and multiple criteria decision making for ranking service providing branches, and data envelopment analysis for making improvement and benchmarking and it is an attempt to overcome these weaknesses and develop quality models in regard with service providing so that the current gap can be filled.

کلیدواژه‌ها

Information Technology (IT)؛ Quality of Services (QOS)؛ Servqual؛ Data Envelopment Analysis (DEA)؛ Fuzzy Multi-Criteria Decision Making (FMCDM)

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6. Appendixes

Table 3. Average weight gain fuzzy numbers extracted from
 Table 2 and parameters used in the method of fuzzy VIKOR

Average	Weighted Index
Fuzzy Number	Wi
(0.65,0.81,0.905)	0.799	Holding general sessions before project execution
(0.63,0.79,0.885)	0.779	Receiving recognition plan certificate
(0.515,0.68,0.805)	0.673	Special meetings of the directors circles
(0.45,0.645,0.82)	0.642	Presenting successful executive models in similar industries
(0.56,0.745,0.875)	0.736	Expert’s sufficient knowledge regarding the process
(0.315,0.49,0.655)	0.488	Considering special organizational processes
(0.465,0.64,0.79)	0.636	Designing processes having future development as a perspective
(0.305,0.485,0.675)	0.487	Developing executive modules for special processes
(0.3,0.5,0.695)	0.499	Possibility of adding other software systems
(0.73,0.88,0.955)	0.868	Preparing special reports required by the organization
(0.485,0.665,0.81)	0.659	Presenting pamphlet and other educational notes
(0.33,0.53,0.73)	0.530	Possibility of entering test information in educational copy
(0.51,0.705,0.875)	0.701	Presenting executive models in similar industries
(0.48,0.665,0.82)	0.660	Making educational activities proper for various knowledge level
(0.33,0.475,0.625)	0.476	Using useful opinions of users
(0.67,0.845,0.955)	0.834	Increasing number of practical education sessions
(0.52,0.72,0.885)	0.714	Experts with pertinent document and sufficient experience
(0.4,0.585,0.76)	0.583	Accessibility of experts in times other than working hours
(0.4,0.595,0.785)	0.594	Presenting course completion certificate
(0.255,0.42,0.605)	0.423	Preparing new reports by users
(0.33,0.475,0.625)	0.476	Connecting to other existing systems
(0.45,0.645,0.82)	0.642	Linking to other Microsoft facilities

Table 4. Data Envelopment Analysis and its results

Reference Group	Efficiency Score	Empathy	Assurances	Responsiveness	Reliability	Tangibles
7,14	95	3.3	4.4	2.6	1.6	2.9	DMU1
	100	1.8	5.2	3.4	0.1	3.8	DMU2
6,17	54	2.3	1.0	1.2	0.1	2.5	DMU3
1,6,19	58	1.1	3.5	2.1	1.9	0.1	DMU4
	100	2.6	2.9	3.5	2.7	2.5	DMU5
	100	2.5	4.9	2.7	3.9	1.5	DMU6
	100	3.8	1.9	3.2	0.7	3.2	DMU7
7,17	88	2.6	4.1	1.5	2.8	1.8	DMU8
	100	4.5	5.1	4.4	2.6	3.9	DMU17

Table 5. model of decision making (for example DMU8)
and target setting for Benchmarking

Empathy	Assurances	Responsiveness	Reliability	Tangibles
3.8	1.9	3.2	0.7	3.2	DMU 7	1
4.5	5.1	4.4	2.6	3.9	DMU 17	2
5.1	4.7	5.3	5.6	4.7	Improvement target	3
2.6	4.1	1.5	2.8	1.8	DMU 8	4
2.5	0.6	3.8	2.8	2.9	Improvement required	5