Abstract
What are the most important factors that increases customers’ (patients’) satisfaction with a general clinic, dental clinic and cosmetic surgery clinic respectively in Asia? Our paper tries to answer the question by conducting survey in Taiwan, Thailand, and China (in the order of the time the survey was conducted), with Grey Relational Analysis (GRA) methodology applied to identify key successful factors in three regions. By the research, our paper found specific and interesting phenomenon of medical institutions in each regions. ‘Doctor’s Skill’ is the general factor considered to be important across regions.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Noorul Haq, A., Marimuthu, P., Jeyapaul, R.: Multi response optimization of machining parameters of drilling Al/SiC metal matrix composite using grey relational analysis in the Taguchi method. Int. J. Adv. Manufact. Technol. 37(3–4), 250–255 (2008)
Boudreaux, E.D., O’Hea, E.L.: Patient satisfaction in the emergency department: a review of the literature and implications for practice. J. Emerg. Med. 26(1), 13–26 (2004)
Boscarino, J., Steiber, S.R.: Hospital shopping and consumer choice. J. Health Care Mark. 2(2), 15–23 (1982). Spring
Kung, C.-Y., Wen, K.-L.: Applying grey relational analysis and grey decision-making to evaluate the relationship between company attributes and its financial performance - a case study of venture capital enterprises in Taiwan. Decis. Support Syst. 43(3), 842–852 (2007)
Cheng, S.-H., Yang, M.-C., Chiang, T.-L.: Patient satisfaction with and recommendation of a hospital: effects of interpersonal and technical aspects of hospital care. Int. J. Qual. Health Care 15(4), 345–355 (2003)
Lin, C.L., Lin, J.L., Ko, T.C.: Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int. J. Adv. Manufact. Technol. 19(4), 271–277 (2002)
Daniel, R.D.: Management information crisis. Harvard Bus. Rev. 35(5), 111–121 (1961)
Deng, J.L.: Introduction grey system. J. Grey Syst. 1(1), 1–24 (1989)
Huang, F.-F., Chen, M.-S., Huang, L.-R.: The decision of patients and analysis of health check satisfaction. J. Orient. Inst. Technol. 28, 37–46 (2008)
Marcia, I.C.: Privacy, privatization, and the politics of patronage: ethnographic challenges to penetrating the secret world of middle eastern, hospital-based in vitro fertilization. Soc. Sci. Med. 59(2004), 2095–2108 (2004)
Lin, J.L., Lin, C.L.: The use of the orthogonal array with grey relational analysis to optimize the electrical discharge machining process with multiple performance characteristics. Int. J. Mach. Tools Manufact. 42(2), 237–244 (2002)
Audun, J., Roslan, I., Coin, B.: A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43, 618–644 (2007)
Otani, K., Waterman, B., Faulkner, K.M., Boslaughand, S., Dunagan, W.C.: How patient reactions to hospital care attributes affect the evaluation of overall quality of care, willingness to recommend and willingness to return. J. Health Care Manag. 55(1), 25–57 (2010a)
Lane, P.M., Lindquist, J.D.: Hospital choice: a summary of the key empirical and hypothetical findings of the 1980s. J. Health Care Mark. 8(4), 5–20 (1988)
Çaydaş, U., Hasslik, A.: Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics. Optics Laser Technol. 40(7), 987–994 (2008)
Wei, G.W.: GRA method for multiple decision making the incomplete weight information in intuitionistic fuzzy setting. Knowl.-Based Syst. 23(19), 243–247 (2010)
Wolinsky, F.D., Kurz, R.S.: How the public chooses and views hospital. Hosp. Health Serv. Adm. 29, 58–67 (1984)
Kuo, Y., Yang, T., Huang, G.-W.: The use of grey relational analysis in solving multiple attribute decision-making problems. Comput. Indus. Eng. 55(1), 80–93 (2008)
Zhang, S.F., Liu, S.Y.: A GRA-based intuitionistic fuzzy muilti-criteria group decision making method for personal selection. Expert Syst. Appl. 38, 11401–11405 (2011)
Gu, B., Park, J., Konana, P.: Research note—the impact of external word-of-mouth sources on retailer sales of high-involvement products. Inf. Syst. Res. 23(1), 182–196 (2012)
Beskind, H.: Psychiatric inpatient treatment of adolescents a review of clinical experience. Compr. Psychiatry 3(6), 354–369 (1962)
Otani, K., Herrmann, P.A., Kurz, R.S.: Patient satisfaction integration process: Are there any racial differences? Health Care Manage. Rev. 35(2), 116–123 (2010b)
Bayus, B.L.: Word-of-mouth: the indirect effects of marketing efforts. J. Advertising Res. 25, 31–9 (1985)
Holtmann, A.G., Olsen Jr., E.O.: The demand for dental care: a study of consumption and household production. J. Hum. Resour. 546–560 (1976)
Kuehn, A.: Consumer brand choice as a learning process. J. Advertising Res. 2(March–April), 10–17 (1962)
Malhotra, N.K.: Stochastic modeling of consumer preferences for health care institutions. J. Health Care Market. 3(4) (1983)
Otani, K., Kurz, R.S., Harris, L.E., Byrne, F.D.: Managing primary care using patient satisfaction measures/practitioner application. J. healthc. Manage. 50(5), 311 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Lee, TR.(S., Huang, YT., Huang, MY., Chen, HY. (2018). To Compare the Key Successful Factors When Choosing a Medical Institutions Among Taiwan, China, and Thailand. In: Kreinovich, V., Sriboonchitta, S., Chakpitak, N. (eds) Predictive Econometrics and Big Data. TES 2018. Studies in Computational Intelligence, vol 753. Springer, Cham. https://doi.org/10.1007/978-3-319-70942-0_23
Download citation
DOI: https://doi.org/10.1007/978-3-319-70942-0_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-70941-3
Online ISBN: 978-3-319-70942-0
eBook Packages: EngineeringEngineering (R0)