政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/132091

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/132091

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题名:	服務平台創新，對顧客認知價值與忠誠度之影響研究-以租賃住宅管理平台為例 The effects of e-service innovation, perceived value and loyalty - rental housing management platform as an example
作者:	陳君偉 Chen, Chun-Wei
贡献者:	李易諭廖森貴陳君偉 Chen, Chun-Wei
关键词:	e化服務品質顧客認知價值忠誠度 E-service quality Customer cognitive value Loyalty
日期:	2020
上传时间:	2020-10-05 15:20:02 (UTC+8)
摘要:	在經濟發展過程中，台灣因資源分配不均促使企業為了效率將公司設立在都市，造成工作機會過度集中。政府於2018年06月27日通過「租賃住宅市場發展及管理條例」，希望透過立法、租賃住宅管理人員認證考核，來改革租賃住宅市場的亂象，進而保障租賃當事人權益並維護人民居住權益。2019年底，已有589家合格包租代管業者及5,233位通過租賃住宅管理人員認證考核，因此，本研究希望透過科技的力量，提高從業人員效率及租客忠誠度。本研究目的在探討創新功能之e化服務品質、顧客認知價值及忠誠度之關係，研究租賃住宅管理平台之五項創新功能(多種房租繳款方式、水電瓦斯費自動化繳交、設備故障報修系統、免墊付設備維修費、居家安全)對顧客認知價值、忠誠度及企業經營是否有正向顯著關係，本研究其研究流程如下。首先，與業界先進一對一的訪談，透過訪談了解產業狀況、現有服務流程及政府推動租賃住宅管理人員認證的看法。其二，分析既有服務流程，並針對既有服務藍圖及導入租賃住宅管理平後之服務藍圖進行比對，說明在例行瑣碎事務可以讓系統自動化處理，減少人力耗費。其三，進行資料收集，本研究總計發放425問卷，共計回收250份問卷，有效問卷為211份，樣本有效率為49.6%。其四，進行資料分析，本研究採用SPSS及SmartPLS兩款分析工具進行ANOVA、Pearson相關係數、PLS等分析。最後，從分析的結果的判讀，本研究者認為本研究所提出之創新功能值得企業導入，但導入時需針對UI/UX、操作流程特別留意，且可由被信任的企業(人)協助推廣，提升顧客對租賃管理平台的信任。另企業務必好好對待使用信用卡的消費，因他們較樂意推薦事物給親朋好友，可望由他們擔任可信任的人，增加被推薦者對企業的信任感。 In the process of economic development, Taiwan’s uneven distribution of resources prompted companies to set up companies in cities for efficiency, resulting in excessive concentration of job opportunities. The government passed the "Regulations on the Development and Management of the Rental Housing Market" on June 27, 2018. It hopes to reform the chaos in the rental housing market through legislation and the certification and assessment of rental housing managers, so as to protect the rights of lease parties and protect the rights of people`s housing. At the end of 2019, there were 589 qualified rental agency operators and 5,233 who passed the certification assessment of rental residential management personnel. Therefore, this research hopes to use the power of technology to improve the efficiency of employees and the loyalty of tenants. The purpose of this research is to explore the relationship between the e-service quality of innovative functions, customer cognitive value and loyalty, and to study the five innovative functions of the rental housing management platform (multiple rent payment methods, automatic payment of water and electricity and gas, and equipment failure reporting system , No advance payment of equipment maintenance fees, home safety) whether there is a positive and significant relationship between customer cognitive value, loyalty and business operation, the research process of this study is as follows. First of all, one-on-one interviews with the industry’s leading companies, through the interviews to understand the status of the industry, the existing service process and the government`s views on promoting the certification of rental housing managers. Second, analyze the existing service process, and compare the existing service blueprint and the service blueprint after the introduction of the rental housing management level, showing that the system can automate the routine trivial tasks and reduce the labor cost. The third is to collect data. In this study, a total of 425 questionnaires were distributed, and a total of 250 questionnaires were retrieved. There were 211 valid questionnaires, and the sample effective rate was 49.6%. Fourth, data analysis. This study uses SPSS and SmartPLS two analysis tools to analyze ANOVA, Pearson correlation coefficient, and PLS. Finally, from the interpretation of the results of the analysis, this researcher believes that the innovative functions proposed by this research are worthy of enterprise introduction, but special attention should be paid to UI/UX and operating procedures when importing, and trusted companies (persons) can assist in promotion. Improve customer trust in the rental management platform. In addition, companies must treat the consumption of credit cards well, because they are more willing to recommend things to relatives and friends, and they are expected to serve as trusted people to increase the trustees’ trust in the company.
參考文獻:	中文文獻吳明隆. (2008). 論文寫作與量化研究 = Thesis writing & quantitative research / 吳明隆著 (初版 ed.). 臺北市: 五南. 吳明隆, & 張毓仁. (2014). SPSS (PASW) 與統計應用分析 Ⅰ: 五南圖書出版股份有限公司. 李承傑, & 董旭英. (2017). 科學發展 539期. 科技部, 20-25. 蕭文龍. (2013). 統計分析入門與應用 : SPSS中文版+PLS-SEM (SmartPLS) . 台北市: 碁峯資訊. 勞動部勞動統計查詢網 (2019) ，檢自：https://statfy.mol.gov.tw/default.aspx 英文文獻 Aguirre, S., & Rodriguez, A. (2017, September). Automation of a business process using robotic process automation (RPA): A case study. In Workshop on Engineering Applications (pp. 65-71). Springer, Cham. doi:10.1007/978-3-319-66963-2_7 Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing research, 4(3), 291-295. doi:10.1177/002224376700400308 Barnes, S. J., & Vidgen, R. T. (2002). An integrative approach to the assessment of e-commerce quality. J. Electron. Commerce Res., 3(3), 114-127. doi:10.4018/978-1-59140-432-3.ch007 Bernardo, M., Marimon, F., & del Mar Alonso-Almeida, M. (2012). Functional quality and hedonic quality: A study of the dimensions of e-service quality in online travel agencies. Information & management, 49(7-8), 342-347. doi:10.1016/j.im.2012.06.005 Betz, F. (1987). Managing Technology –Competing through New Ventures. Innovation, and Corporate Research, Prentice Hall. Carlson, J., & O`Cass, A. (2010). Exploring the relationships between e‐service quality, satisfaction, attitudes and behaviours in content‐driven e‐service web sites. Journal of Services Marketing , Vol. 24 No. 2, pp. 112-127. doi:10.1108/08876041011031091 Chang, H. H., & Wang, H. W. (2011). The moderating effect of customer perceived value on online shopping behaviour. Online Information Review, Vol. 35 No. 3, 333-359. doi:10.1108/14684521111151414 Chen, S.-C. (2012). The customer satisfaction–loyalty relation in an interactive e-service setting: The mediators. Journal of Retailing and Consumer Services, 19(2), 202-210. doi:10.1016/j.jretconser.2012.01.001 Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & marketing, 20(4), 323-347. doi:10.1002/mar.10076 Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. doi:10.4324/9781410604385 Cobelli, N., Bonfanti, A., Cubico, S., & Favretto, G. (2019). Quality and perceived value in career guidance e-services. International Journal of Quality and Service Sciences, 11(1), 53-68. doi:10.1108/IJQSS-12-2017-0114 Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98-104. doi:10.1037/0021-9010.78.1.98 Deng, Z., Lu, Y., Wei, K. K., & Zhang, J. (2010). Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International journal of information management, 30(4), 289-300. doi:10.1016/j.ijinfomgt.2009.10.001 Drejer, I.（2004）.Identifying Innovation in Surveys of Services: A Schumpeterian Perspective. Research Policy, 33(3), 551-562. doi: 10.1016/j.respol.2003.07.004 Efron, B. (1979). Computers and the theory of statistics: thinking the unthinkable. SIAM review, 21(4), 460-480. doi:10.1137/1021092 Featherman, M. S., Miyazaki, A. D., & Sprott, D. E. (2010). Reducing online privacy risk to facilitate e‐service adoption: the influence of perceived ease of use and corporate credibility. Journal of Services Marketing., Vol. 24 No. 3, pp. 219-229. doi:10.1108/08876041011040622 Fečiková, I. (2004). An index method for measurement of customer satisfaction. The TQM magazine, Vol. 16 No. 1, pp. 57-66. doi:10.1108/09544780410511498 Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American customer satisfaction index: nature, purpose, and findings. Journal of marketing, 60(4), 7-18. doi:10.1177/002224299606000403 Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. doi:10.1177/002224378101800104 Gronholdt, L., Martensen, A., & Kristensen, K. (2000). The relationship between customer satisfaction and loyalty: cross-industry differences. Total quality management, 11(4-6), 509-514. doi:10.1080/09544120050007823 Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice hall. Hapsari, R., Clemes, M., & Dean, D. (2016). The mediating role of perceived value on the relationship between service quality and customer satisfaction: Evidence from Indonesian airline passengers. Procedia Economics and Finance, 35(12), 388-395. doi:10.1016/S2212-5671(16)00048-4 Jones, T. O., & Sasser, W. E. (1995). Why satisfied customers defect. Harvard business review, 73(6), 88-91. Rsetrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=9512052733&lang=zh-tw&site=ehost-live Kim, S., & Stoel, L. (2004). Dimensional hierarchy of retail website quality. Information & management, 41(5), 619-633. doi:10.1016/j.im.2003.07.002 Kohavi, R., & Longbotham, R. (2017). Online Controlled Experiments and A/B Testing. Encyclopedia of machine learning and data mining, 7(8), 922-929. doi:10.1007/978-1-4899-7502-7_891-1 Kotler, P. (2002), Marketing Management, Eleventh Edition, NJ: Prentice Hall. Lai, F., Griffin, M., & Babin, B. J. (2009). How quality, value, image, and satisfaction create loyalty at a Chinese telecom. Journal of business research, 62(10), 980-986. doi:10.1016/j.jbusres.2008.10.015 Lee, G. G., & Lin, H. F. (2005). Customer perceptions of e‐service quality in online shopping. International Journal of Retail & Distribution Management, Vol. 33 No. 2, 161-176. doi:10.1108/09590550510581485 Lin, H.-H., & Wang, Y.-S. (2006). An examination of the determinants of customer loyalty in mobile commerce contexts. Information & management, 43(3), 271-282. doi:10.1016/j.im.2005.08.001 Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing theory and applications, 13(3), 432-438. Retrieved from https://search.proquest.com/docview/199486360?accountid=10067 Marcoulides, G. A., & Saunders, C. (2006). Editor`s comments: PLS: a silver bullet? MIS quarterly, iii-ix. doi:10.2307/25148727 Martin, D., Gustafsson, A., & Choi, S. (2016). Service innovation, renewal, and adoption/rejection in dynamic global contexts. Journal of Business Research, 69 (7) (2016), pp. 2397-2400. doi:10.1016/j.jbusres.2016.01.008 Minimol, M., & Kakkanad, K. (2018). E-service quality and perceived value as predictors of customer loyalty towards online supermarkets. Asian Social Science, 14(3), 71-77. doi:10.5539/ass.v14n3p71 Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50. doi:10.1177/002224298504900403 Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the academy of marketing science, 28(1), 168-174. doi:10.1177/0092070300281015 Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual: A multiple-item scale for measuring consumer perc. Journal of retailing, 64(1), 12. Rsetrieved from https://search.proquest.com/docview/228609374?accountid=10067 Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A Multiple-Item Scale for Assessing Electronic Service Quality. Journal of Service Research : JSR, 7(3), 213-233. doi:10.1177/1094670504271156 Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination. International Journal of service Industry management, Vol. 8 No. 5, 414-434. doi:10.1108/09564239710189835 Petrick, J. F. (2004). The roles of quality, value, and satisfaction in predicting cruise passengers’ behavioral intentions. Journal of travel research, 42(4), 397-407. doi:10.1177/0047287504263037 Pirouz, Dante M., An Overview of Partial Least Squares. Available at SSRN 1631359. doi:10.2139/ssrn.1631359 Raman, M., PhD., Stephenaus, R., M.B.A., Alam, N., M.B.A., & Kuppusamy, M., Mphil. (2008). Information technology in malaysia: E-service quality and uptake of internet banking. Journal of Internet Banking and Commerce, 13(2), 1-18. Rsetrieved from https://search.proquest.com/docview/231970365?accountid=10067 Voss, C. A.（1992）.”Measurement of Innovation and Design Performance in services,” Design Management Journal, 3(1), 40-46. doi:10.1111/j.1948-7169.1992.tb00586.x Santos, J. (2003). E-service quality: a model of virtual service quality dimensions. Managing Service Quality, 13(3), 233-246. doi:10.1108/09604520310476490 Selnes, F. (1993). An examination of the effect of product performance on brand reputation, satisfaction and loyalty. European journal of Marketing, 27(9), 19-35. doi:10.1108/03090569310043179 Shostack, G. L. (1982). How to design a service. European journal of Marketing, 16(1), 49-63. doi:10.1108/EUM0000000004799 Sigala, M. (2009). E-service quality and Web 2.0: expanding quality models to include customer participation and inter-customer support. The Service Industries Journal, 29(10), 1341-1358. doi:10.1080/02642060903026239 Suhartanto, D., Helmi Ali, M., Tan, K. H., Sjahroeddin, F., & Kusdibyo, L. (2019). Loyalty toward online food delivery service: the role of e-service quality and food quality. Journal of foodservice business research, 22(1), 81-97. doi:10.1080/15378020.2018.1546076 Sun, P., Cardenas, D. A., & Harrill, R. (2016). Chinese customers’ evaluation of travel website quality: A decision-tree analysis. Journal of Hospitality Marketing & Management, 25(4), 476-497. doi:10.1080/19368623.2015.1037977 Swaid, S. I., & Wigand, R. T. (2009). Measuring the quality of e-service: Scale development and initial validation. Journal of Electronic Commerce Research, 10(1), 13-28. Retrieved from https://search.proquest.com/docview/236686351?accountid=10067 Tronvoll, B., & Edvardsson, B. (2020, January). Explaining how Platforms Foster Innovation in Service Ecosystems. In Proceedings of the 53rd Hawaii International Conference on System Sciences, pp. 1608-1617. doi:10.24251/HICSS.2020.198 Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204. doi:10.1287/mnsc.46.2.186.11926 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 Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the academy of marketing science, 25(2), 139-153. Rsetrieved from https://search.proquest.com/docview/224864089?accountid=10067 Wright, J., Glasbeek, A., & van der Meulen, E. (2015). Securing the home: Gender, CCTV and the hybridized space of apartment buildings. Theoretical Criminology, 19(1), 95-111. doi:10.1177/1362480614544210 Yang, Z., & Jun, M. (2002). Consumer perception of e-service quality: from internet purchaser and non-purchaser perspectives. Journal of Business strategies, 19(1), 19-41. Retrieved from https://search.proquest.com/docview/204414170?accountid=10067 Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an Internet shopping site (SITEQUAL). Quarterly journal of electronic commerce, 2(1), 31-45. doi:10.1007/978-3-319-11885-7_129 Yoon, Y., & Uysal, M. (2005). An examination of the effects of motivation and satisfaction on destination loyalty: a structural model. Tourism management, 26(1), 45-56. doi:10.1016/j.tourman.2003.08.016 Zehir, C., & Narcıkara, E. (2016). E-service quality and e-recovery service quality: Effects on value perceptions and loyalty intentions. Procedia-Social and Behavioral Sciences, 229, 427-443. doi:10.1016/j.sbspro.2016.07.153 Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22. doi:10.1177/002224298805200302 Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service quality delivery through web sites: a critical review of extant knowledge. Journal of the academy of marketing science, 30(4), 362-375. doi:10.1177/009207002236911
描述:	碩士國立政治大學企業管理研究所(MBA學位學程) 107363069
資料來源:	http://thesis.lib.nccu.edu.tw/record/#G0107363069
数据类型:	thesis
DOI:	10.6814/NCCU202001749
显示于类别:	[企業管理研究所（MBA學位學程）] 學位論文

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