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Investigating the Quality of Electronic Services Using Multiple Attribute Decision- Making Techniques Case Study (Aria, Ghaem, and Golsar Hospitals)

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Abstract (2. Language): 
IT and its remarkable abilities created positive changes, and in addition to the possibility of increasing effectiveness and efficiency in industries and businesses, has led to an increasing interest in this technology and to presentation of more functions of it. One of these areas which is more important to people is the industry of health care and health and treatment services. Reduction of health care costs and provision of these high quality services has become a global priority. Due to the use of electronic services the need to use these services in the field of health care is felt more than ever. The purpose of this research is to answer the question of how to choose the most appropriate hospital in terms of electronic service delivery by using multiple attribute decision-making techniques.In this research, SERVQUAL method and criteria related to the electronic services is used, which has 6 major criteria of Tangible, Responsiveness, Reliability, Information quality, Assurance and Empathy factors, and 19 sub criteria. This research uses Multiple Attribute Decision Making (MADM), including the composition process of ANP to gain the criteria weight and fuzzy TOPSIS in order to rank the dimensions. According to the research results, Golsar, Arya and Ghaem hospital, respectively, earned the first to the third place. Among the criteria Information quality earned the first place, Assurance earned the second place and last place was devoted to responsiveness among the six criteria. Among the sub-criteria also Informatiom accuracy and trust, respectively ranked first and second, and customerization got the last place.
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REFERENCES

References: 

[1] Buyukozkan, G. & Cifci, G. (2012), A combined ANP and FUZZY TOPSIS based
strategic analysis of electronic service quality in healthcare industry, expert systems
with application, VOL.39, PP. 2341 – 2354.
[2] Chen, C. & Klein, C. M, (1997), An efficient approach to solving fuzzy MADM
problems, Fuzzy Sets and Systems, VOL.88, NO.1, PP. 51–67.
[3] Dubois, D. & Prade, H. (1986), Recent models of uncertainty and imprecision as a
basis for decision theory: towards less normative frameworks, In Proceedings of the
NATO Advanced Study Institute on Intelligent Decision Support on Intelligent
decision support in process environments, pp. 3–24
[4] Kong,M, Jogaratnam G, The influence of culture on perceptions of service employee
behavior. Managing service quality 2007, 17(3) : 275-297
[5] Li Y N, Tan K C, Xie M.(2002). Measuring web-based service quality. Total quality
management 2002; 13(5): 685-700
MIRBARGKAR, ZADMEHR
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[6] Azar, Adel, Rajab Zadeh, Ali, 2010, applied decision-making approach of MCDM,
Negah Danesh
[7] Zahedi, Shams al-Sadat, Biniaz, Javad. (2008), assessment of quality of electronic
services in Raja Passenger Trains Co., Journal of Information Technology
Management, Volume 1, course 1, Fall and Winter 2008, pp. 65-8
[8] Notagh, F., Rezaei Rad, M, the role of e-Health in health care provision, Scientific-
Educational Journal, Health Faculty, 2010, No. 42, 33-23
[9] Modarresi M [ICT Neutral Technology and Information- based society]. Journal of
electronic commerce and computing 2003, 8 ,11

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