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Differential effects of online word-of-mouth about attractive and one-dimensional Kano attributes on hospital selection  

Kim, Sujung (Hoin Company)
Kim, Junyong (Hanyang University ERICA)
Publication Information
Korea Journal of Hospital Management / v.27, no.3, 2022 , pp. 1-14 More about this Journal
Abstract
Purposes: This purpose of this study was to check how much the online word of mouth influences on customer's hospital selection according to Kano's model. Methodology: Kano classified the attributes that affect customer's satisfaction into attractive, one-dimensional, indifferent, must-be, and reverse attributes. Among them, attractive and one-dimensional attributes make up the largest portion in hospital selection. Based on this, the influence of positive or negative online reviews on the selection of hospitals was investigated. Differentiated service was selected as the attractive attributes, and a kind, sufficient explanation was selected as the one-dimensional attributes. Then a questionnaire was conducted how much the positive or negative online reviews influence on hospital selection, respectively. It was conducted from August 7 to September 7, 2021 for medical consumers in their 20s and older who have used medical services for the past 3 years, and the final 142 questionnaires were analyzed. All data was analyzed by chi-square and two-way ANOVA using SPSS ver 25.0. Findings: The results showed that, in one-dimensional attributes, the difference between positive and negative reviews was not statistically significant, but in attractive attributes, positive and negative reviews showed a statistically significant difference. It suggests that positive reviews on attractive attributes had a greater influence on hospital selection. In terms of hospital selection, when the experimental participants were exposed to the positive reviews, the hospital selection ratio did not differ by Kano's attributes, but to the negative reviews it differed. The hospital selection ratio, even after they were exposed to negative reviews, was higher in the attractive attributes than in the one-dimensional attributes. Practical Implication: This study confirmed that hospital selection is influenced differently depending on the Kano's attributes and the direction of the reviews, and suggests that marketers should respond differently to each Kano's attributes when they deal with online reviews of hospitals.
Keywords
hospital selection factors; online word of mouth; review direction; Kano model; attractive and one-dimensional attributes;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Baek Shin Young. A Study on the Use and Directivity of On-line Comments: Focusing on Positive/Negative Comments Before & After Experiencing Businesses. Korea University Graduate School of Journalism ; 2010.
2 Young-Shin Sung, Hyung-Ryul Hyung, In-Suk Jeong. Word of mouse: A study of oral consumption information online. Proceedings of the Fall Annual Conference of the Korean Advertising Society 2001; 2-12.
3 Lee Ho Geun. Kwak Hyun. Investigation of Factors Affecting the Effects of Online Consumer Reviews. International Information Society Agency 2013; 20(3): 3-17.
4 Parj Seong Youg, Lee Yong Ki. Consumer Empathy and Kano Model. Korean Product Society 2021; 39(1): 1-9.
5 Zao Yan, kim Saebum. Effects of Directionality and Type of Online e-WOM on Purchase Intention and Moderating Role of Regulatory Focus. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology 2018; 8(1) : 121-131.   DOI
6 Jae Hwi Kim, Eun Mi An, G Ho Kim. Effects of Information Directionality and Types of Information Based on Tie Strength Between Senders and Receivers on Senders' Word-ofMouth Intention. The Korean Journal of Consumer and Advertising Psychology 2006; 7(1); 93-112.
7 Choi Jayoung, Kim Yongbum. The Psychological Reactance on Acceptance of Positive Review: The Moderating of New Product and Consumer Knowledge. 2014; 25(8) ; 293-311.
8 Moon Hwa Jeong. A Study on the Impact of Online Word of Mouth on the Consumers' Purchase Attitudes. Hong Ik University ; 2003
9 Seo Gyu-Hoon. A Study on the Effect of Word of Mouth(WOM) on the Hospital Rating and Satisfaction of Medical Consumers. Gyunghee University ; 2014
10 Park D. & Lee J. eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications 2008; 7(4): 386-398.   DOI
11 Yong Kim. Changes in patient-centered medical services: focused on improvements on communication between doctors and patients, Science and technology research 2013; 13(2): 71-110.
12 Go Jae-wook. Intensifying 'side effects' of hospital and clinic reviews on portal sites such as Naver. Daily Medi. 2021 Oct 21. www.dailymedi.com
13 Youngju Han. A Study on Perceived Service Quality and User Sarisfaction of YouTube Personal News Channel Using Kano Model. Journal of Broadcasting and Telecommunications Research. 2021; 116: 135-168.
14 Kim Su Jung. Kin Junyong, Kim Junbae. A Study on Medical Consumers' Hospital Selection Factors Using Model and Timko Model. The Korean Society Of Hospital Administration 2018; 23(4): 40.
15 Chen, P. Y. & Wu, S. Y. & Yoon, J. "The impact of online recommendations and consumer feedback on sale." Proceedings of the International Conference on Information Systems, Association for Information Systems. ICIS 2004.
16 Kang Seck Jeong, Park Hi Ja. A Study on Satisfaction of Health Services and Types of Word of Mouth Communication. Journal of Global Scholars of Marketing Science 2000; 6(1): 313
17 Seo Kyu-Hoon. A Study on the Effect of Word of Mouth(WOM) on the Hospital Rating and Satisfaction of Medical Consumers : Concentrating on the Relation of the Recommender and the Medical Consumer. Kyung Hee University Graduate School of Business Administration, Ph.D. thesis ; 2014.
18 Duan, W. & Gu, B. & Whinston, A. B. "Do online reviews matter?-An empirical investigation of panel data." Decision Support Systems. 2008; 45(4): 1007-1016.   DOI
19 Lee Ho Geun, Kwak Hyun. Investigation of Factors Affecting the Effects of Online Consumer Reviews. International Informaiton Society Agency. 2013; 20(3): 3-17.
20 Smith, R. E. & Lusch, R. F. How advertising can position a brand. Journal of Advertising Research. 1976; 16(1): 37-43.
21 Hyun Hee Park, Jung Ok Jeon. Content Analysis on the Component of Two-sided eWOM. Journal of the Korea Contents Association 2015 ; 15(8) ; 53-68.   DOI
22 Mun Shik Suh, Jin Woo Ahn, Ji Eun Lee, Sun Kyung Park. The Influence of Customer's Multidimensional Evaluation in Online Review : Focused on Apparel Products. Journal of the Korea Contents Association 2009 ; 9(8) ; 255-271.   DOI
23 Liu TingTing. The support of online reviews on user' shopping process. Kyung Hee University Graduate School of Trade, Department of Trade Management ; 2016.
24 Hyunjoo Ryu. A study on the effect of review type, direction, and web type on reliability and deliverability, which are characteristics of word of mouth in online word of mouth. Pusan National University Graduate School Business Administration Master's Thesis ;2012.
25 Yang so-young. A Study on the Third Party Effect according to the Internet Comment Attributes and Types : Focusing on the Effect of a Good Comment : Korea University ; 2011
26 Seck Jeong Kang, Hi Ja Park. A Study on Satisfaction of Health Services and Types of Word of Mouth Communication. Korean Academy of Marketing Science 2000; 6(1) :313.   DOI
27 M. E. (2001). Strategy and the Internet, Harvard Business Review, March, 63-78.
28 Son Rak-hoon. Medical institution closure rate for the past 5 years, the number 1 hospital by category, Medifo News. 2021 Dec 13. www.medifonews.com.
29 Kim Na-hyun. Health insurance medical expenses increased by 7.5%, and the share of tertiary general hospitals increased. Medical Observer. 2022 Mar 30. www.monews.co.kr.
30 Ministry of Science and ICT. 2020 Survey on the Internet Uasge. www.msit.go.kr
31 Parasuraman, A., Zeithaml, V.A., Berry, L., SERVQUAL, A Multiple-item scale for measuring consumer perception of service quality, Journal of Retailing. 1998; 40(1): 12-37.
32 Kano. N., Seraku. N., and Takahashi. F. Attractive Quality and Must-be Quality. The Journal of the Japanese Society for Quality control. 1984; 14(2): 39-48
33 Liu, Q. B. & Karahanna, E. & Watson, R. T. " Unveiling user-generated content: Designing websites to best present customer reviews." Business Horizons. 2011; 54(3): 231-240.   DOI
34 Gong Wanyan. The effect of review type and review valence on consumer perceived usefulness. Chung-Ang University. Major in Marketing Department of Management; 2009.
35 Lee Thae Min, Park Cheol. Effects of Direction and Type of Electronic Word of Mouth Information on Purchase Decision: Cross-Cultural Comparison Between Korea and U.S. Korean Marketing Association. 2006; 21(1): 29-56.
36 Chatterjee P. "Online Review: do Consumers Use Them?". Advances in Consumer Reserach. 2001; 28)1): 129-133.
37 Marquez F. T. Advertising content: Persuasion, information or intimidation? Journalism Quarterly. 1977; 54(3): 482-491.   DOI
38 Chan H. Adaptive word-of-mouth behavior: A conceptual framework and empirical tests. The University of Wisconsin Madison ProQuest Dissertations Publishing; 2000.
39 Desatnick. Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Info Sys Res 2010; 19(3) : 291-313.