Publications-Theses
Article View/Open
Publication Export
-
題名 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貢獻者 李易諭<br>廖森貴
陳君偉
Chen, Chun-Wei關鍵詞 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 上傳時間 5-Oct-2020 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_7Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing research, 4(3), 291-295. doi:10.1177/002224376700400308Barnes, 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.ch007Bernardo, 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.2012.06.005Betz, 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:10.1108/08876041011031091Chang, 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:10.1108/14684521111151414Chen, 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.2012.01.001Chen, 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.10076Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. doi:10.4324/9781410604385Cobelli, 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-12-2017-0114Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98-104. doi:10.1037/0021-9010.78.1.98Deng, 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.2009.10.001Drejer, I.(2004).Identifying Innovation in Surveys of Services: A Schumpeterian Perspective. Research Policy, 33(3), 551-562. doi: 10.1016/j.respol.2003.07.004Efron, B. (1979). Computers and the theory of statistics: thinking the unthinkable. SIAM review, 21(4), 460-480. doi:10.1137/1021092Featherman, 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:10.1108/08876041011040622Fečiková, I. (2004). An index method for measurement of customer satisfaction. The TQM magazine, Vol. 16 No. 1, pp. 57-66. doi:10.1108/09544780410511498Fornell, 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:10.1177/002224299606000403Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. doi:10.1177/002224378101800104Gronholdt, 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:10.1080/09544120050007823Hair, 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)00048-4Jones, 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-liveKim, S., & Stoel, L. (2004). Dimensional hierarchy of retail website quality. Information & management, 41(5), 619-633. doi:10.1016/j.im.2003.07.002Kohavi, 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_891-1Kotler, 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.2008.10.015Lee, 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:10.1108/09590550510581485Lin, 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.2005.08.001Loiacono, 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=10067Marcoulides, G. A., & Saunders, C. (2006). Editor`s comments: PLS: a silver bullet? MIS quarterly, iii-ix. doi:10.2307/25148727Martin, 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.2016.01.008Minimol, 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.v14n3p71Parasuraman, 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:10.1177/002224298504900403Parasuraman, 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:10.1177/0092070300281015Parasuraman, 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=10067Parasuraman, 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:10.1177/1094670504271156Patterson, 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:10.1108/09564239710189835Petrick, 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:10.1177/0047287504263037Pirouz, Dante M., An Overview of Partial Least Squares. Available at SSRN 1631359. doi:10.2139/ssrn.1631359Raman, 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=10067Voss, 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.xSantos, J. (2003). E-service quality: a model of virtual service quality dimensions. Managing Service Quality, 13(3), 233-246. doi:10.1108/09604520310476490Selnes, 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:10.1108/03090569310043179Shostack, G. L. (1982). How to design a service. European journal of Marketing, 16(1), 49-63. doi:10.1108/EUM0000000004799Sigala, 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:10.1080/02642060903026239Suhartanto, 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:10.1080/15378020.2018.1546076Sun, 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:10.1080/19368623.2015.1037977Swaid, 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=10067Tronvoll, 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.2020.198Venkatesh, 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.46.2.186.11926Wolfinbarger, 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)00034-4Woodruff, 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=10067Wright, 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:10.1177/1362480614544210Yang, 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=10067Yoo, 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_129Yoon, 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.2003.08.016Zehir, 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.2016.07.153Zeithaml, 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:10.1177/002224298805200302Zeithaml, 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 資料類型 thesis dc.contributor.advisor 李易諭<br>廖森貴 zh_TW dc.contributor.author (Authors) 陳君偉 zh_TW dc.contributor.author (Authors) Chen, Chun-Wei en_US dc.creator (作者) 陳君偉 zh_TW dc.creator (作者) Chen, Chun-Wei en_US dc.date (日期) 2020 en_US dc.date.accessioned 5-Oct-2020 15:20:02 (UTC+8) - dc.date.available 5-Oct-2020 15:20:02 (UTC+8) - dc.date.issued (上傳時間) 5-Oct-2020 15:20:02 (UTC+8) - dc.identifier (Other Identifiers) G0107363069 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/132091 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 企業管理研究所(MBA學位學程) zh_TW dc.description (描述) 107363069 zh_TW dc.description.abstract (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。 zh_TW dc.description.abstract (摘要) 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. en_US dc.description.tableofcontents 摘要 IAbstract II致謝 IV目次 V圖次 VIII表次 X第一章 緒論 1第一節 研究背景與動機 1第二節 研究目的 2第三節 研究範圍 3第四節 研究流程 3第二章 文獻探討 5第一節 服務創新 5第二節 服務品質 6第三節 認知價值 12第四節 忠誠度 14第五節 e化服務品質、認知價值、忠誠度之關係 15第三章 研究方法 16第一節 研究架構 16第二節 研究假說 17第三節 訪談設計 19第四節 研究變數之操作性定義 21第五節 問卷設計與衡量 22第六節 抽樣設計 33第七節 分析方法 34第四章 研究結果分析 39第一節 基本敘述性統計分析 39第二節 單因子變異數分析 45第三節 皮爾森相關係數 52第四節 偏最小平方法分析 55第五節 研究假說檢定結果 63第五章 結論與建議 66第一節 研究結論 66第二節 理論貢獻與實務意涵 69第三節 研究限制 71第四節 未來研究方向建議 72參考文獻 73中文文獻 73英文文獻 74附錄一 正式問卷 81附錄二 訪談記錄 88附錄三 租屋經驗開放問題填答資料 92 zh_TW dc.format.extent 3837029 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107363069 en_US dc.subject (關鍵詞) e化服務品質 zh_TW dc.subject (關鍵詞) 顧客認知價值 zh_TW dc.subject (關鍵詞) 忠誠度 zh_TW dc.subject (關鍵詞) E-service quality en_US dc.subject (關鍵詞) Customer cognitive value en_US dc.subject (關鍵詞) Loyalty en_US dc.title (題名) 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 zh_TW dc.title (題名) The effects of e-service innovation, perceived value and loyalty - rental housing management platform as an example en_US dc.type (資料類型) thesis en_US dc.relation.reference (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_7Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of marketing research, 4(3), 291-295. doi:10.1177/002224376700400308Barnes, 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.ch007Bernardo, 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.2012.06.005Betz, 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:10.1108/08876041011031091Chang, 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:10.1108/14684521111151414Chen, 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.2012.01.001Chen, 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.10076Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. doi:10.4324/9781410604385Cobelli, 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-12-2017-0114Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of applied psychology, 78(1), 98-104. doi:10.1037/0021-9010.78.1.98Deng, 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.2009.10.001Drejer, I.(2004).Identifying Innovation in Surveys of Services: A Schumpeterian Perspective. Research Policy, 33(3), 551-562. doi: 10.1016/j.respol.2003.07.004Efron, B. (1979). Computers and the theory of statistics: thinking the unthinkable. SIAM review, 21(4), 460-480. doi:10.1137/1021092Featherman, 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:10.1108/08876041011040622Fečiková, I. (2004). An index method for measurement of customer satisfaction. The TQM magazine, Vol. 16 No. 1, pp. 57-66. doi:10.1108/09544780410511498Fornell, 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:10.1177/002224299606000403Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. doi:10.1177/002224378101800104Gronholdt, 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:10.1080/09544120050007823Hair, 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)00048-4Jones, 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-liveKim, S., & Stoel, L. (2004). Dimensional hierarchy of retail website quality. Information & management, 41(5), 619-633. doi:10.1016/j.im.2003.07.002Kohavi, 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_891-1Kotler, 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.2008.10.015Lee, 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:10.1108/09590550510581485Lin, 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.2005.08.001Loiacono, 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=10067Marcoulides, G. A., & Saunders, C. (2006). Editor`s comments: PLS: a silver bullet? MIS quarterly, iii-ix. doi:10.2307/25148727Martin, 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.2016.01.008Minimol, 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.v14n3p71Parasuraman, 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:10.1177/002224298504900403Parasuraman, 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:10.1177/0092070300281015Parasuraman, 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=10067Parasuraman, 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:10.1177/1094670504271156Patterson, 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:10.1108/09564239710189835Petrick, 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:10.1177/0047287504263037Pirouz, Dante M., An Overview of Partial Least Squares. Available at SSRN 1631359. doi:10.2139/ssrn.1631359Raman, 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=10067Voss, 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.xSantos, J. (2003). E-service quality: a model of virtual service quality dimensions. Managing Service Quality, 13(3), 233-246. doi:10.1108/09604520310476490Selnes, 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:10.1108/03090569310043179Shostack, G. L. (1982). How to design a service. European journal of Marketing, 16(1), 49-63. doi:10.1108/EUM0000000004799Sigala, 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:10.1080/02642060903026239Suhartanto, 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:10.1080/15378020.2018.1546076Sun, 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:10.1080/19368623.2015.1037977Swaid, 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=10067Tronvoll, 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.2020.198Venkatesh, 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.46.2.186.11926Wolfinbarger, 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)00034-4Woodruff, 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=10067Wright, 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:10.1177/1362480614544210Yang, 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=10067Yoo, 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_129Yoon, 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.2003.08.016Zehir, 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.2016.07.153Zeithaml, 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:10.1177/002224298805200302Zeithaml, 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 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202001749 en_US