Purpose - The purpose of this study was to examine quality improvement priorities by examining not only quality classifications but also PCSI (Kano, 1984) of mobile app service qualities of general hospitals in the Metropolitan Area and offer potential improvements. Research design, data, and method...
Purpose - The purpose of this study was to examine quality improvement priorities by examining not only quality classifications but also PCSI (Kano, 1984) of mobile app service qualities of general hospitals in the Metropolitan Area and offer potential improvements. Research design, data, and methodology - The study examined five of service qualities, including app design, reaction, convenience, safety and supply of information by precedent studies. 20 test items were selected. A total of 60 positive and negative questions to estimate customer satisfaction and PCSI was investigated. The author collected 300 copies from interviewees who made use of the app services of 13 general hospitals within one year, and classified quality factors by using table of quality assessment and also estimated the customer satisfaction index (Timko, 1993). The study made quality improvement priority by the PCSI index. Results - Reaction of the mobile app service quality ranked the highest PCSI, and payment safety ranked the highest, and customer support and supply of the information ranked high as well. It was observed that design ranked comparatively lower in these categories. Conclusion - Safety, reaction and supply of information should be prioritized to reorganize and improve the mobile app services.
Purpose - The purpose of this study was to examine quality improvement priorities by examining not only quality classifications but also PCSI (Kano, 1984) of mobile app service qualities of general hospitals in the Metropolitan Area and offer potential improvements. Research design, data, and methodology - The study examined five of service qualities, including app design, reaction, convenience, safety and supply of information by precedent studies. 20 test items were selected. A total of 60 positive and negative questions to estimate customer satisfaction and PCSI was investigated. The author collected 300 copies from interviewees who made use of the app services of 13 general hospitals within one year, and classified quality factors by using table of quality assessment and also estimated the customer satisfaction index (Timko, 1993). The study made quality improvement priority by the PCSI index. Results - Reaction of the mobile app service quality ranked the highest PCSI, and payment safety ranked the highest, and customer support and supply of the information ranked high as well. It was observed that design ranked comparatively lower in these categories. Conclusion - Safety, reaction and supply of information should be prioritized to reorganize and improve the mobile app services.
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문제 정의
Kano model was used to classify mobile app service quality element having influence upon customer satisfaction, and customer satisfaction coefficient was used (Timko, 1993) to supplement Kano model. The study estimated potential customer satisfaction to find out mobile app service quality improvement priority.
Previous studies did not classify mobile app service by quality and service. This study gave quality from point of view of app service user and to give direction of app service development and improvement. Second, the study investigated high class general hospitals having mobile app service, and examined customer satisfaction index of Timko (1993) to give direction of improvement.
Kano model investigated service quality dually to give not only service quality level but also cognition perceived by consumers (Kim, Youn, & Lee, 2018). This study investigated satisfaction of mobile app service quality by quality factor. The study investigated app service quality of customers of general hospitals, for instance, app design, reaction, convenience, safety and supply of information to classify six service quality, for instance, attractive quality, one unknown quality, natural quality, uninterested quality, adverse quality and speculative quality.
가설 설정
D : Dissatisfaction.
제안 방법
Based on precedent studies on mobile app service quality, this study tested five of service quality such as app design, reactivity, convenience, safety and giving of information by Kano model. Sixty of affirmative questions and negative questions were used to get Kano model, customer satisfaction and PCSI index and to estimate customer satisfaction coefficient (Timko, 1993) and to find out priority of medical service quality.
This study gave quality from point of view of app service user and to give direction of app service development and improvement. Second, the study investigated high class general hospitals having mobile app service, and examined customer satisfaction index of Timko (1993) to give direction of improvement. The study verified priority of improvement to give service quality and to differ from precedent studies examining relation with consumer behavior only.
Based on precedent studies on mobile app service quality, this study tested five of service quality such as app design, reactivity, convenience, safety and giving of information by Kano model. Sixty of affirmative questions and negative questions were used to get Kano model, customer satisfaction and PCSI index and to estimate customer satisfaction coefficient (Timko, 1993) and to find out priority of medical service quality.
The study investigated app service quality of customers of general hospitals, for instance, app design, reaction, convenience, safety and supply of information to classify six service quality, for instance, attractive quality, one unknown quality, natural quality, uninterested quality, adverse quality and speculative quality. The study gave PCSI(Potential Customer Satisfaction Improvement) index to determine not only CSC(Customer Satisfaction Coefficient) but also service improvement (Timko, 1993) and to give app service quality perception and to lessen time and cost and to suggest practical approach of mobile app service improvement.
This study investigated satisfaction of mobile app service quality by quality factor. The study investigated app service quality of customers of general hospitals, for instance, app design, reaction, convenience, safety and supply of information to classify six service quality, for instance, attractive quality, one unknown quality, natural quality, uninterested quality, adverse quality and speculative quality. The study gave PCSI(Potential Customer Satisfaction Improvement) index to determine not only CSC(Customer Satisfaction Coefficient) but also service improvement (Timko, 1993) and to give app service quality perception and to lessen time and cost and to suggest practical approach of mobile app service improvement.
The study investigated mobile app service by five quality element and 20 items by Kano model to be one dimensional quality element of reactivity and convenience and to be app design of disinterest quality. Safety was thought to be personal information control, and safe payment was one dimensional and no sharing of personal information was to be disinterest, and misuse of personal information was to be must be quality.
(Lee, 2014). The study selected five kinds of mobile app service quality, reaction, convenience, safety and supply of information.
Second, the study investigated high class general hospitals having mobile app service, and examined customer satisfaction index of Timko (1993) to give direction of improvement. The study verified priority of improvement to give service quality and to differ from precedent studies examining relation with consumer behavior only. The study gave priority of the service at same level of quality from point of view of practice [Tabel 6] and to avoid unnecessary service.
This study investigated app design, reactivity, convenience, safety and giving of information of mobile app service: 20 questions were used. Kano model was used to give user's cognition and improvement of mobile app service.
대상 데이터
CKU-19-01-0103 of Institutional Review Board to research by M's panel 7 days from March 30, 2019. The interviewees were the ones who were 20 years old or more to be patients and/or protectors at general hospitals (13) in Metropolitan Area. Number of effective questionnaires was 300 copies.
이론/모형
Kano model was used to classify mobile app service quality element having influence upon customer satisfaction, and customer satisfaction coefficient was used (Timko, 1993) to supplement Kano model. The study estimated potential customer satisfaction to find out mobile app service quality improvement priority.
Users are difficult to understand service quality elements. The study examined customer satisfaction element (Timko, 1993) to make use of customer satisfaction coefficient (satisfaction coefficient and dissatisfaction coefficient) to find out sensitivity of service quality element.
후속연구
Testing of five quality items of the app service was difficult to classify into app service quality element. Further study shall investigate reuse and perceived value.
참고문헌 (36)
Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875. doi:10.1016/j.jbusres.2006.01.021
Bressolles, G., Durrieu, F., & Senecal, S. (2014). A consumer typology based on e-service quality and e-satisfaction. Journal of Retailing and Consumer Services, 21(6), 889-896. doi:10.1016/j.jretconser.2014.07.004
Choi, C. J., Park, J. S., & Jung, W. S. (2015). Improvement of Web Contents Accessibility in Geriatric Hospitals. The Journal of the Korea Institute of Electronic Communication Sciences, 10(8), 959-964. doi:10.13067/JKIECS.2015.10.8.959
Cristobal, E., Flavian, C., & Guinaliu, M. (2007). Perceived e-service quality(PeSQ) Measurement validation and effects on consumer satisfaction and web site loyalty. Managing service quality: An international journal, 17(3), 317-340. doi:10.1108/09604520710744326
Fassnacht, M., & Koese, I. (2006). Quality of electronic services: Conceptualizing and testing a hierarchical model. Journal of service research, 9(1), 19-37. doi:10.1177/1094670506289531
Figge, S. (2002). Stefan Situation-dependent service-a challenge for mobile network operators. Journal of Marketing, 51(April), 11-27. doi:10.1016/S0148-2963(02)00431-9
Gummerus, J., Liljander, V., Pura, M., & van Riel, A.C.R. (2004). Customer loyalty to M.aent-based Web sites: The case of an online health-care service. Journal of Services Marketing, 18(3), 175-186. doi:10.1108/08876040410536486
Gu, W., & Lee, J.H. (2016). A Study on The Use Intention of Mobile Payment Application Based on e-SERVQUAL in China. Korean Journal of Hotel Administration, 25(7), 195-210. uci:G704-001024.2016.25.7.015
Hwang, H. J., & Lee, S. M. (2011). A Study on Transferring the Effects of Brand Reputation and Level of Service Satisfaction of an Offline Channel Company When It is Expanding to an Online Distribution Channel. Journal of Distribution Science, 9(2), 31-36.
Kassim, N., & Asiah Abdullah, N. (2010). The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e-commerce settings: A cross cultural analysis. Asia Pacific Journal of Marketing and Logistics, 22(3), 351-371. doi:10.1108/13555851011062269
Kalakota, R., Robinson, M., & Kalakota, D. R. (2002). M-business: The race to mobility. New York, NY: McGraw-Hill.
Kano, N., Seraku, N., Takahashi, F., & Tsuji, S. (1984). Attractive quality and must-be quality. Journal of The Japanese Society for Quality Control, 14(2), 147-156.
Kim, J. H., & Park, C. M. (2015). Improvement Prioritization of Health and Medical Service Quality Attributes using PCSI Index-Focused on One Upper Level General Hospital. Korea Journal of Hospital Management, 20(2), 39-56.
Kim, S. C. (2010). A Study on the Service Quality Improvement by Kano Model & Weighted Potential Customer Satisfaction Index. Journal of Distribution Science, 8(4), 19-25.
Kim, S. O., Youn, S. H., & Lee, M. J. (2018). The Study on the e-Service Quality Factors in m-Shopping Mall App based on the Kano Model. International Journal of Industrial Distribution & Business, 9(12), 63-72. doi:10.13106/ijidb.2018.vol9.no12.63.
Lee, M. K. (2014). Effects of Smartphone Application e-Service Quality on Customer Satisfaction and Repurchase Intention. Journal of the Korea Entertainment Industry Association, 8(1), 47-59. doi:10.21184/jkeia.2014.03.8.1.47
Lee, S. J., & Dai, J. (2014). The Effect of Mobile Tourism Information Service Features on Perceived Value, Satisfaction, and Using Intentions. Journal of Distribution Science, 12(12), 75-82.
Lee, Y. C., Seo, D. H., & Song, S. H. (2017). Classification and Evaluation of Service Quality Factor's of O2O Delivery Applications Using Kano Model. Journal of Industrial Convergence, 15(2), 27-36.
Liao, Z., & Cheung, M. T. (2002). Internet-based e-banking and consumer attitudes:an empirical study. Information & Management, 39(4), 283-295. doi:10.1016/S0378-7206(01)00097-0
Lim, S. U., & Park, Y. T. (2010). Development and Application of a Potential Customer Satisfaction Improvement Index based on Kano Model. The Korean Society for Quality Management, 2010(1), 291-309. uci:G704-000306.2010.38.2.005
Minocha, S., Millard, N., & Dawson, L. H. (2003). Integrating customer relationship management strategies in (B2C) e-commerce environments. Human-er puter Interaction, 19(4), 335-342. Retrieved from http://www.idemployee.id.tue.nl/g.w.m.rauterberg/conferences/INTERACT2003/INTERACT2003-p335.pdf
Noh, M. J., & Kim, H. Y. (2007). An Study on the Influence of Mobile Characteristics on the Mobile Service Adoption. Management education review, 48, 125-150.
Ok, S., Oh, J. Y., & Kim, S. M. (2009). The Impact of Online Health Information Service Quality on Expectation and Purchase Intention of Offline Health Service. The e-business studies, 10(3), 173-201.
Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of service research, 7(3), 213-233. doi:10.1177/1094670504271156
Poddar, A., Donthu, N., & Wei, Y. (2008). Website customer orientation, website quality, and purchase intention: The role of website personality. Journal of Business Reserch, 62(4), 441-450. doi:10.1016/j.jbusres.2008.01.036
Shim, G. Y., & Kim, Y. M. (2005). A Study on the effect of Internet Shopping Mall's Initial Web Page Image on Consumer's Purchase Intention. Management education review, 38, 191-217.
Tarafdar, M., & Zhang, J. (2005). Analyzing the Influence of Website Design Parameters on Website Usability. Information Resources Management Journal, 18(4), 62-80. doi:10.4018/irmj.2005100104
Timko, M. (1993). An experiment in continuous analysis. Center for Quality of Management Journal, 2(4), 17-20.
Van Riel, A. C., Liljander, V., & Jurriens, P. (2001). Exploring consumer evaluations of e-services: A portal site. International Journal of Service Industry Management, 12(4), 359-377. doi:10.1108/09564230110405280
Webster, R., & Williams, P. (2005). An evaluation ofthe NHS Direct online health information e-mail enquiry service. Aslib Proceedings: New Information Perspectives, 57(1), 48-62. doi:10.1108/00012530510579066
Wen, C., Prybutok, V., Blankson, C., & Fang, J. (2014). The role of E-quality within the consumer decision making process. International Journal of Operations & Production Management, 34(12), 1506-1536. doi:10.1108/IJOPM-07-2013-0352
Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198. doi:10.1016/S0022-4359(03)00034-4
Yoon, C. (2010). Antecedents of customer satisfaction with online banking in China: The effects of experience. Computers in Human Behavior, 26(6), 1296-1304. doi:10.1016/j.chb.2010.04.001
Zeithaml, V.A., Parasuraman, A., & Malhotra, A. (2000). A conceptual framework con understanding e-service quality: implications con future research and managerial practistand MSI Working Paper Series, No. 00-115. MA: Cambridge.
Zheng, Y., Zhao, K., & Stylianou, A. (2013). The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems, 56, 513-524. doi:10.1016/j.dss.2012.11.008
Zhou, T. (2013). Understanding continuance usage of mobile sites. Industrial Management & Data Systems, 113(9), 1286-1299. doi:10.1108/IMDS-01-2013-0001
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