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研究生:張媛茹
研究生(外文):Yuan-Ju Chang
論文名稱:以期望確認模式探討影響智能客服持續使用意願
論文名稱(外文):An Empirical Study of Continuing Usage Intention of E-commerce services: Based on Expectation-Confirmation Theory
指導教授:李家瑩李家瑩引用關係
學位類別:碩士
校院名稱:國立臺中科技大學
系所名稱:企業管理系碩士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:中文
論文頁數:69
中文關鍵詞:客戶服務智能客服期望確認模式知覺易用性資訊系統成功模式
外文關鍵詞:customer servicee-commerce serviceperceived ease of useinformational system success model
相關次數:
  • 被引用被引用:9
  • 點閱點閱:232
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:2
網際網路的興起促進了資訊科技的發展與進步,使用行動裝置的人口逐年上升,由於生活型態的轉變也促使企業調整經營模式,隨著營銷渠道多元化發展及消費者意識抬頭,顧客滿意度已成為企業發展的重要要素之一,因客戶的問題多數具有高度重複性,為能更專注去處理較複雜問題並提高工作效率,客戶服務也開始與科技相結合發展智能客服。有鑑於過去從顧客觀點來探討使用智能客服的知覺及影響之文獻相當有限,本研究將以智能客服為研究主題,加入知覺易用性及有用性構念,探討影響智能客服持續使用之因子。
本研究以使用過智能客服者為研究對象,採問卷調查法共蒐集291份有效樣本,並利用SPSS與PLS統計軟體來分析資料數據及驗證理論模型。實證結果顯示,系統品質及服務品質對確認程度、知覺易用性及有用性有正向影響,而確認程度對知覺有用、易用及滿意度有正向影響;知覺有用、易用對滿意度及持續使用意願有正向影響,而研究結果將提出管理意涵作為企業開發智能客服時之參考。
The rise of the Internet has promoted the development and advancement of information technology, and the number of people using mobile devices has increased year by year. With the change of life style, companies are also required to adjust their business models. On the other hand, customer satisfaction has become one of the most important factors for the development of enterprises due to the diversification of marketing channels and the rise of consumer awareness. Since most of the customer''s issues are highly repetitive, in order to focus more on conducting the complex issues and improve the efficiency, customer service has begun to develop an e-commerce service model in combination with technology to provide faster and superior service. This study uses artificial intelligence customer service as a research context, adding the concept of perceived ease of use and usefulness to explore the factors that affect the continued use of artificial intelligence customer service. The sampling frame is users who have experienced artificial intelligence customer service. A totoal of 291 questionnaires were collected and analyzed by using the software SPSS and smartPLS. The results showed that system quality and service quality have a positive effect on confirmation, perceived usefulness and perceived ease of use. Confirmation is positively related to perceived usefulness, perceived ease of use and satisfaction. Perceived usefulness and ease of use have a positive effect on satisfaction and continuation intention of artificial intelligence customer service. The study result should be taken into consideration when enterprises are undertaking the development of artificial intelligence customer service.
摘要 I
Abstract II
致謝辭 IV
目錄 V
表目錄 VII
圖目錄 VIII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 4
第三節 研究目的 5
第四節 研究流程 6
第二章 文獻回顧 7
第一節 客戶服務 7
第二節 智能客服 9
第三節 期望確認模式 12
第四節 知覺易用性 15
第五節 資訊系統成功模式(系統品質、服務品質) 16
第三章 研究方法 19
第一節 研究架構 19
第二節 研究假說 20
第三節 各變數之操作化定義與衡量問項 24
第四節 研究對象與問卷設計 28
第五節 資料分析方法 30
第四章 資料分析與結果 32
第一節 敘述統計分析 32
第二節 測量模式分析 39
第五章 結論與建議 47
第一節 研究結果 47
第二節 研究貢獻 49
第三節 研究限制 51
第四節 未來研究建議 52
參考文獻 53
附錄 63
一、中文文獻
朱海成(2015)。2016管理資訊系統。碁峯資訊股份有限公司,頁2-1

二、英文文獻
1.Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. doi:https://doi.org/10.1016/j.im.2006.12.008
2.Aldholay, A. H., Isaac, O., Abdullah, Z., & Ramayah, T.(2018). The role of transformational leadership as a mediating variable in DeLone and McLean information system success model: The context of online learning usage in Yemen. Telematics and Informatics, 35(5), 1421-1437. doi:https://doi.org/10.1016/j.tele.2018.03.012
3.Anderson, E. W., & Sullivan, M. W.(1993). The Antecedents and Consequences of Customer Satisfaction for Firms. Marketing Science, 12(2), 125-143.
4.Bölen, M. C.(2020). Exploring the determinants of users’ continuance intention in smartwatches. Technology in Society, 60, 101209. doi:https://doi.org/10.1016/j.techsoc.2019.101209
5.Baker-Eveleth, L., & Stone, R. W.(2015). Usability, expectation, confirmation, and continuance intentions to use electronic textbooks. Behaviour & Information Technology, 34(10), 992-1004. doi:10.1080/0144929X.2015.1039061
6.Bhattacherjee, A.(2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214. doi:https://doi.org/10.1016/S0167-9236(01)00111-7
7.Bhattacherjee, A.(2001b). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25, 351-370. doi:10.2307/3250921
8.Brown, K. E., & Lim, J.-H.(2012). The effect of internal control deficiencies on the usefulness of earnings in executive compensation. Advances in Accounting, 28(1), 75-87. doi:https://doi.org/10.1016/j.adiac.2012.02.006
9.Chen, S.-C., Yen, D. C., & Hwang, M. I.(2012). Factors influencing the continuance intention to the usage of Web 2.0: An empirical study. Computers in Human Behavior, 28(3), 933-941. doi:https://doi.org/10.1016/j.chb.2011.12.014
10.Chen, S. C., Chen, H. H., & Chen, M. F. (2009). Determinants of satisfaction and continuance intention towards self‐service technologies. Industrial Management & Data Systems, 109(9), 1248-1263. doi:10.1108/02635570911002306
11.Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C.(2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399-416. doi:https://doi.org/10.1016/j.compedu.2004.06.001
12.Chou, S.-W., Min, H.-T., Chang, Y.-C., & Lin, C.-T.(2010). Understanding continuance intention of knowledge creation using extended expectation–confirmation theory: an empirical study of Taiwan and China online communities. Behaviour & Information Technology, 29(6), 557-570. doi:10.1080/01449290903401986
13.Chung, M., Ko, E., Joung, H., & Kim, S. J.(2018). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research. doi:https://doi.org/10.1016/j.jbusres.2018.10.004
14.Churchill, G. A., & Surprenant, C.(1982). An Investigation into the Determinants of Customer Satisfaction. Journal of Marketing Research, 19(4), 491-504. doi:10.2307/3151722
15.Davis, F., Bagozzi, R., & Warshaw, P.(1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35, 982-1003. doi:10.1287/mnsc.35.8.982
16.Davis, F. D.(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008
17.DeLone, W. H., & McLean, E. R.(1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60-95.
18.Devaraj, S., Fan, M., & Kohli, R.(2002). Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics. Information Systems Research, 13(3), 316-333.
19.Festinger, L.(1957). A theory of cognitive dissonance: Stanford University Press.
20.Fazio, R. H., & Zanna, M. P. (1981). Direct Experience And Attitude-Behavior Consistency11A preliminary report of some of this research program was presented at a symposium on “Recent Approaches to Attitude-Behavior Consistency” at the American Psychological Association Convention, San Francisco, 1977 (Zanna & Fazio, 1977). Some of the reported research was supported by Canada Council Grant S76-0344 to Mark P. Zanna. The authors wish to thank Jerome M. Chertkoff, Michael Ross, and Steven J. Sherman for their helpful comments on an earlier version of this manuscript. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 14, pp. 161-202): Academic Press.
21.Gale, R. D. B. B. T.(1987). The PIMS Principles: Linking Strategy to Performance. New York : Free Press ; London : Collier Macmillan, c1987.
22.Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W.(2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance, 35, 644-649. doi:https://doi.org/10.1016/S2212-5671(16)00079-4
23.Hayashi, A., Chen, C., Ryan, T., & Wu, J.(2004). The Role of Social Presence and Moderating Role of Computer Self Efficacy in Predicting the Continuance Usage of E-Learning Systems. Journal of Information Systems Education, 15.
24.Hsu, H. M., Chiu, M. C., Ju, L. T. J. I. M., & 104, D. S. V.(2004). Determinants of continued use of the WWW: an integration of two theoretical models. (9), 766-775.
25.James, J. J., Klein, G., & Christopher, L. C.(2002). Measuring Information System Service Quality: SERVQUAL from the Other Side. MIS Quarterly, 26(2), 145-166. doi:10.2307/4132324
26.Johanson, M. M., & Woods, R. H.(2008). Recognizing the Emotional Element in Service Excellence. 49(3), 310-316. doi:10.1177/1938965508316267
27.Karahanna, E., Straub, D. W., & Chervany, N. L.(1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183-213. doi:10.2307/249751
28.Komiak, S., & Benbasat, I.(2006). The Effects of Personalization and Familiarity on Trust and Adoption of Recommendation Agents. MIS Quarterly, 30, 941-960. doi:10.2307/25148760
29.Lai, T. L.(2004). Service Quality and Perceived Value''s Impact on Satisfaction, Intention and Usage of Short Message Service(SMS). Information Systems Frontiers, 6(4), 353-368. doi:10.1023/B:ISFI.0000046377.32617.3d
30.Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y.(2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282. doi:https://doi.org/10.1016/S0167-9236(00)00076-2
31.Lee, H., Kim, J., & Kim, J.(2007). Determinants of success for application service provider: An empirical test in small businesses. International Journal of Human-Computer Studies, 65(9), 796-815. doi:https://doi.org/10.1016/j.ijhcs.2007.04.004
32.Lee, Y., & Kwon, O.(2011). Intimacy, familiarity and continuance intention: An extended expectation–confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342-357. doi:https://doi.org/10.1016/j.elerap.2010.11.005
33.Liao, C., Chen, J.-L., & Yen, D.(2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23, 2804-2822. doi:10.1016/j.chb.2006.05.006
34.Liu, C., & Arnett, K. P.(2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management, 38(1), 23-33. doi:https://doi.org/10.1016/S0378-7206(00)00049-5
35.Nelson, R. R., Todd, P. A., & Wixom, B. H.(2005). Antecedents of Information and System Quality: An Empirical Examination within the Context of Data Warehousing. Journal of Management Information Systems, 21(4), 199-235.
36.Nuruzzaman, M., & Hussain, O. K.(2020). IntelliBot: A Dialogue-based chatbot for the insurance industry. Knowledge-Based Systems, 196, 105810. doi:https://doi.org/10.1016/j.knosys.2020.105810
37.Oghuma, A. P., Libaque-Saenz, C. F., Wong, S. F., & Chang, Y.(2016). An expectation-confirmation model of continuance intention to use mobile instant messaging. Telematics and Informatics, 33(1), 34-47. doi:https://doi.org/10.1016/j.tele.2015.05.006
38.Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469. doi:10.2307/3150499
39.Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F.(2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6, Part B), 1350-1359. doi:https://doi.org/10.1016/j.ijinfomgt.2016.04.005
40.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:10.2307/1251430
41.Parasuraman, A., Zeithaml, V. A., & Berry, L. L.(1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
42.Park, E.(2020). User acceptance of smart wearable devices: An expectation-confirmation model approach. Telematics and Informatics, 47, 101318. doi:https://doi.org/10.1016/j.tele.2019.101318
43.Patterson, P. G., Johnson, L. W., & Spreng, R. A.(1997). Modeling the determinants of customer satisfaction for business-to-business professional services. Journal of the Academy of Marketing Science, 25(1), 4. doi:10.1007/BF02894505
44.Petter, S., DeLone, W., & McLean, E.(2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263. doi:10.1057/ejis.2008.15
45.Petter, S., & McLean, E.(2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46, 159-166. doi:10.1016/j.im.2008.12.006
46.Pitt, L. F., Watson, R. T., & Kavan, C. B.(1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173-187. doi:10.2307/249687
47.Rai, A., Lang, S., & Welker, R.(2002). Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis. Information Systems Research, 13, 50-69. doi:10.1287/isre.13.1.50.96
48.Ravichandran, T., & Rai, A.(1999). Total Quality Management in Information Systems Development: Key Constructs and Relationships. Journal of Management Information Systems, 16(3), 119-155. doi:10.1080/07421222.1999.11518259
49.Roca, J. C., Chiu, C.-M., & Martínez, F. J.(2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), 683-696. doi:https://doi.org/10.1016/j.ijhcs.2006.01.003
50.Roca, S., Sancho, J., García, J., & Alesanco, Á.(2020). Microservice chatbot architecture for chronic patient support. Journal of Biomedical Informatics, 102, 103305. doi:https://doi.org/10.1016/j.jbi.2019.103305
51.Roky, H., & Meriouh, Y. A.(2015). Evaluation by Users of an Industrial Information System(XPPS)Based on the DeLone and McLean Model for IS Success. Procedia Economics and Finance, 26, 903-913. doi:https://doi.org/10.1016/S2212-5671(15)00903-X
52.Sørebø, Ø., & Eikebrokk, T. R.(2008). Explaining IS continuance in environments where usage is mandatory. Computers in Human Behavior, 24(5), 2357-2371. doi:https://doi.org/10.1016/j.chb.2008.02.011
53.Seddon, P. B.(1997). A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research, 8(3), 240-253.
54.Sharma, G.(2015). The effects of online service quality of e-commerce Websites on user satisfaction. The Electronic Library, 33(3), 468-485. doi:10.1108/EL-10-2013-0193
55.Shim, M., & Jo, H. S.(2020). What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems Success Model. International Journal of Medical Informatics, 137, 104093. doi:https://doi.org/10.1016/j.ijmedinf.2020.104093
56.Susarla, A., Barua, A., & Whinston, A. B.(2003). Understanding the Service Component of Application Service Provision: An Empirical Analysis of Satisfaction with ASP Services. MIS Quarterly, 27(1), 91-123. doi:10.2307/30036520
57.Taufik, N., & Hanafiah, M. H.(2019). Airport passengers'' adoption behaviour towards self-check-in Kiosk Services: the roles of perceived ease of use, perceived usefulness and need for human interaction. Heliyon, 5(12), e02960. doi:https://doi.org/10.1016/j.heliyon.2019.e02960
58.Tsaur, S.-H., Wang, C.-H., Yen, C.-H., & Liu, Y.-C.(2014). Job standardization and service quality: The mediating role of prosocial service behaviors. International Journal of Hospitality Management, 40, 130-138. doi:https://doi.org/10.1016/j.ijhm.2014.04.004
59.Venkatesh, V.(2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365.
60.Weizenbaum, J.(1966). ELIZA--A Computer Program For the Study of
61.Natural Language Communication Between Man and Machine.Commungicatins of the ACM, 9(January 1966), 36-35.
62.William, H. D., & Ephraim, R. M.(2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30. doi:10.1080/07421222.2003.11045748
63.Wu, J., Tsai, R. J., Chen, C. C., & Wu, Y.(2006). An Integrative Model to Predict the Continuance Use of Electronic Learning Systems: Hints for Teaching. 5(2).
64.Xu, J., Benbasat, I., & Cenfetelli, R. T.(2013). Integrating Service Quality with System and Information Quality: An Empirical Test in the E-Service Context. MIS Quarterly, 37(3), 777-794.

三、網路部分
65.王宏仁,2017,Chatbot 三大技術關鍵與最新研究方向,iThome,2017 年 4 月 23 日。取自 http://www.ithome.com.tw/news/ 113445。
66.FRANKENFIELD, J.(2019). Chatbot. Retrieved from https://www.investopedia.com/terms/c/chatbot.asp
67.Gonzalez, C.(2017). 9 Reasons Customers Hate Calling Your Business and How To Fix It. Retrieved from https://www.invoca.com/blog/9-reasons-customers-hate-calling-your-business-and-how-to-fix-it
68.Hollander, R.(2018). Consumers are abandoning traditional customer service channels. Retrieved from https://www.businessinsider.com/consumers-are-abandoning-traditional-customer-service-channels-2018-1
69.Intelligence, B. I.(2016). Messaging apps are now bigger than social networks. Retrieved from https://www.businessinsider.com/the-messaging-app-report-2015-11
70.JACOBS, J.(2014). THE DO’S AND DON’TS OF WEB CHAT. Aspect Software. Retrieved from https://www.aspect.com/globalassets/files/assets-old-branding/aspectmoxie-dosanddonts_ebook.pdf
71.Kina, E.(2017). 23 Infographics on Chatbots, Messaging apps, AI and more. Retrieved from https://medium.com/botstrategy/22-infographics-on-chatbots-messaging-apps-ai-and-more-25aa76c90841
72.The Mobile Economy 2019.(2019). GSMA 1-6. Retrieved from https://www.gsma.com/r/mobileeconomy/3/
73.Morgan, C.-A. A Guide to Customer Experience Management: How To Deliver On Customer Expectations. Retrieved from https://www.b2binternational.com/publications/customer-experience-management/
74.NewVoiceMedia.(2016). The $62 Billion Customer Service Scared Away. Retrieved from https://reurl.cc/V6oXMN
75.Rouse, M.(2019). What is Artificial Intelligence. Retrieved from https://searchenterpriseai.techtarget.com/definition/AI-Artificial-Intelligence
76.Singer, G. B. a. D.(2012). Turn Customer Care into “Social Care” to Break Away from the Competition. Retrieved from https://hbr.org/2012/12/turn-customer-care-into-social
77.Technologies, R.(2011). 2011 Customer Experience Impact Report. Retrieved from https://reurl.cc/b5oRev
78.Wiki, C. S.(22 February 2019). Chatbots. Retrieved from https://computersciencewiki.org/index.php?title=Chatbots&oldid=9511
79.RANKENFIELD, J. (2019). Chatbot. Retrieved from https://www.investopedia.com/terms/c/chatbot.asp
80.Panetta, K. (2017). From bots and AI to counterfeit reality and fake news, these predictions require IT leaders to pace their adoption. Retrieved from https://www.gartner.com/smarterwithgartner/gartner-top-strategic-predictions-for-2018-and-beyond/
81.Harvard Business R(2012).Turn Customer Care into “Social Care” to Break Away from the Competition. Retrieved from https://hbr.org/2012/12/turn-customer-care-into-social
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