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研究生:陳俊融
研究生(外文):Chun-Jung Chen
論文名稱:從新視角探討透明視窗影響顧客滿意相關因素之研究
論文名稱(外文):Explore the impact of the transparent window from the new perspective of customer satisfaction Related Factors
指導教授:曹文瑜曹文瑜引用關係
指導教授(外文):Wen-Yu Tsao
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:研發科技與資訊管理研究所
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:70
中文關鍵詞:透明視窗科技接受模型期待確認理論科技準備指標滿意
外文關鍵詞:Transparent windowsTechnology acceptance modelExpectation confirmation theoryTechnology readiness IndexSatisfaction
相關次數:
  • 被引用被引用:0
  • 點閱點閱:153
  • 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:1
透明視窗是具有吸引力的窗口呈現出產品生產或服務的過程,由此窗口顧客可以知道他們交易的過程。雖然電子商務已經為企業創造了新的機會,無論在線上或離線顧客仍然需要在購物時資訊的正確無誤。本研究所採用的研究方法為問卷調查法,主要是組合科技準備指標、科技接受模型和期待確認理論探討顧客心理特性與實際情況對產品或服務的想法。本實證研究的結果為知覺實用性、創新、不適應和不安全影響滿意。其中樂觀為激勵因素而不適應和不安全為抑制因素。最後提出研究討論、貢獻、管理實務的建議、研究限制和未來研究。
Transparent windows are intriguing windows to enhance customers easier to keep track of multiple processes of the producing or transporting at once. Although electronic commerce has created new opportunities for businesses, consumers’ shopping and assurance information no matter on online or offline still continue to be needed. Importance for assurance of transparent windows is the statement or fact of being great significance. Using the questionnaire combined the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), Technology Readiness Index (TRI) to explore the customer psychological traits and the actual situation that they recommend the product or service. The results showed that perceived usefulness, innovativeness, discomfort, and insecurity impacted on the satisfaction, where the innovativeness is motivator; discomfort and insecurity are inhibitors. Finally, the paper presented discussion, contribution, managerial suggestion, limitation, and future works.
中文摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
一、緒論 1
1.1 研究背景與動機 2
1.2 研究目的 8
1.3 研究流程 11
二、文獻探討 12
2.1透明視窗(Transparent windows) 12
2.2科技接受模式(Technology Acceptance Model, TAM) 13
2.3期待確認理論(Expectation Confirmation Theory, ECT) 14
2.4 科技準備指標(Technology Readiness Index, TRI) 16
三、研究方法與模型 18
3.1研究架構圖 18
3.2 研究假說 19
3.3變數定義與操作化 21
四、資料分析 23
4.1基本資料 23
4.2信度與效度分析 35
4.3驗證假說 38
五、結論 41
參考文獻 43
中文部分 43
英文部分 45
附錄一 本研究問卷 54
附錄一 問卷 54
表 1研究假設表 21
表 2性別樣本分佈表 23
表 3年齡樣本分佈表 24
表 4教育程度樣本分佈表 25
表 5職業別樣本分佈表 26
表 6居住地區樣本分佈表 27
表 7每月收入樣本分佈表(單位:元) 27
表 8每月使用次數樣本分佈表 28
表 9每月平均花費樣本分佈表 28
表 10每月使用頻率樣本分佈表 29
表 11看過透明化窗的產品次數分配 29
表 12看過透明化窗的產品次數分配 31
表 13看過與消費過透明視窗相關與差異一覽表 34
表 14 KMO數值意函一覽表 36
表 15 信度、CR、AVE 分析表 37
表 16相關分析表 37
表 17 研究結果總表 40
圖 1資訊透明化的產業發展 4
圖 2透明視窗滿足顧客需求示意圖 5
圖 3透明視窗範例 7
圖 4研究步驟 11
圖 5透明視窗範例 13
圖 6科技接受模型 (TAM) 14
圖 7期待確認理論(ECT) 15
圖 8研究架構圖 19
圖 9看過透明視窗化樣分佈圖 30
圖 10消費過透明視窗化樣分佈圖 32
圖 11檢定結果 39
中文部分
[1]周惠珍、黃新宗、李國賓。顧客滿意度對廠商績效的關係是否受到產業集中度干擾之探討。中華管理評論國際學報Vol. 14, No. 3, August 2011。1-26。
[2]詹益郎,2003 。現代管理精論。臺北:華泰書局。
[3]蕭文龍,2010。多變量分析,碁峰資訊股份有限公司。
[4]張偉德,2011。創新租賃模式之服務加值平台設計。
[5] 廖偉伶,2003。知識管理在服務創新之應用。
[6] 潘建忠,2013。Wiki如何提升知識分享與移轉–以新人訓練為例。
[7] 徐維志,2012。資訊科技在台灣中小型服務業進行服務創新之角色與模式初探。私立中國文化大學資訊管理學系碩士論文。
[8] 龍義琳,2012。以整合整體訂單貢獻度在多廠區多目標訂單指派與生產排程系統之研究-運用改良式蜂群演算法。
[9] 司徒達賢,2009,不要用製造業思維 看服務業的創新。天下雜誌,438
[10] 郭建良,2008,產業觀點下的服務創新方法論v1.0台灣經濟研究院研究報告。
[11] 顏長川,2010,科技業服務化,服務業科技化,管理雜誌,7月。
[12] 高宜凡,2010,國內首次「服務創新準備度」調查 台灣產業必須的改變:服務創新。遠見雜誌,1月。
[13] 柯献堂,2009,整合公司創新能力與顧客需求探討服務創新之研究。國立臺灣科技大學管理研究所博士論文。
[14] 李文雅,2003,TAM與TTF整合模式之驗證:以乙級電腦軟體應用技術士為例。國立雲林科技大學訊管理系碩士論文。
[15] 陳孟功,2003,校園無線區域網路(WLAN)-科技接受模式(TAM)之研究。國立高雄師範大學工業科技教育學系碩士論文。
[16] 張晴雯,2012,影響行動旅遊應用軟體持續使用因素之研究。國立高雄應用科技大學訊管理系碩士論文。
[17] 黃國平,2012,以科技接受模型探討智慧手機消費者對以科技接受模型探討智慧手機消費者對行動加值應行動加值應用服務的購買行為之研究。國立立成功大學經營管理碩士學位學程碩士。
[18] 王騰毅,2010,整合即時路況之導航系統研究。國立虎尾科技大學機械與機電工程研究所碩士論文。
[19] 陳文浩,2002,台灣電信產業付費語音資訊業務之研究。私立世新大學傳播研究所碩士論文。
[20] 郭仲樺,2009,使用手機為載具閱讀數位內容意願研究─以科技接受模型為例。私立南華大學出版與文化事業管理研究所碩士論文。
[21] 李日嬋,2012,中學生持續使用電腦輔助學習意願之研究-以實用與享樂觀點。國立臺灣科技大學資訊管理系碩士論文。
[22] 顏培珊,2013,華語文學習者之數位學習行為及科技準備度與學習滿意度關聯性研究。私立中國文化大學華語文教學碩士論文。
[23] 洪沚君,2013,2服務創新對顧客購買動機與顧客滿意度影響之研究—以Yahoo!奇摩購物中心為例。國立臺中科技大學企業管理系碩士論文。
[24] 林佳蓉,2013,探討工作滿意在工作不安全感與個人組織契合對工作績效的中介效果之研究-以銀行從業人員為例。國防大學管理學院運籌管理學系碩士論文。


英文部分
[1] Anderson A.A. (1996). Predictors of computer anxiety and performance in information systems. Computers in Human Behavior. 12(1), 61-77.
[2] Boyd, T. C., &; Mason, C. H.(1999). The link between attractiveness of extra brand attributes and the adoption of innovations.Journal of the Academy of Marketing Science, 27(3), 306-319.
[3] Burke R. (2002). Hybrid recommender systems: survey ad experiments. User modeling and user-adapted interaction, 12(4), 331-370.
[4] Cadotte, E. R., Woodruff, R. B., &; Jenkins, R. L. (1987, August). Expectations and norms in models of consumer satisfaction. Journal of Marketing Research, 24, 305-314.
[5] Caison A.L., D. Bulman, S. Pai, and D. Neville (2008). Exploring the technology readiness of nursing and medical students at a Canadian University. Journal of Interprofessional Care, 22(3), 283-294.
[6] Chau, P.Y.K., “Influence of computer attitude and self-efficacy on IT usage behavior,”Journal of End User Computing, Vol. 13, No, 1, pp. 26-33 (2001).
[7] Chou, S.W., H.T. Min, Y.C. Chang and C.T. Lin (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.

[8] Churchill, G. A., &; Surprenant, C. (1982), “An Investigation into the Determinants of Consumer Satisfaction. Journal of Marketing Research, 19(4), Special Issue on Causal Modeling (Nov., 1982), pp. 491-504 .
[9] Cothran, T. (2011). Google Scholar acceptance and use among graduate students: A quantitative study. Library &; Information Science Research, 33(4), October, 293-301.
[10] Crespo, A. H., &; del Bosque, I. R. (2010). The influence of the commercial features of the internet on the adoption of e-commerce by consumers. Electronic Commerce Research and Applications, 9(6), 562-575.
[11] Cristobal et al. (2007).Prerceived e-service quality(PeSQ):Measurement validation and effects on consumer satisfaction and web site loyalty. Managing Service Quality,17(3), .317-340.
[12] Davis, F.D., A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results, Doctorial dissertation, MIT Sloan School of Management, Cambridge, MA., 1986.
[13] Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly 13(3), 318-339.
[14] Doong H.S. and H.C. Lai (2008). Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach. Group Decision and Negotiation, 17(2), 111-126.
[15] Dube´, L., Renaghan, L. M., &; Miller, J. M. (1994). Measuring customer satisfaction for strategic management. Cornell Hotel and Restaurant Administration Quarterly, 35(1), 39-47.
[16] East R., K. Hammond, and M. Wright (2007). The relative incidence of positive and negative word of mouth: A multi-category study. International Journal of Research in Marketing, 24(2), June, 175-184.
[17] Eriksson K. and D. Nilsson (2007). Determinants of the continued use of self-service technology: The case of Internet banking. Technovation, 27(4), April, 159-167.
[18] Fornell C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56(1), 6-22.
[19] Fornell C. and D.F. Larcker (1981). Evaluating structural equation models with unobservables and measurement error. Journal of Marketing Research, 18(1), 39-50.
[20] Gefen, D. (2000), “E-commerce: The role of familiarity and trust,” Omega, Vol. 28, No. 6, pp. 725-737.
[21] Gefen, D., Karahanna, E. and Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
[22] Gelderman CJ., P.W.Th. Ghijsen, and R.van Diemen (2011). Choosing self-service technologies or interpersonal services - The impact of situational factors and technology-related attitudes. Journal of Retailing and Consumer Services, 18(5), September, 414-421.
[23] Janine Hendry,2000, Technology readiness and educational choice: Is there a relationship between technology readiness and the decision to study on-line? ,ANZMAC 2000 Visionary Marketing for the 21st Century: Facing the Challenge
[24] Hong, S.J., J.Y.L. Thong, K.Y. Tam (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), December, 1819-1834.
[25] Hui T.K., D. Wan, and A. Ho (2007). Tourists’ satisfaction, recommendation and revisiting Singapore. Tourism Management, 28(4), August, 965-975.
[26] Chin-Lung Hsu, Hsi-Peng Lu (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information and Management, 41(7), 853–868.
[27] Jaafar M., A.R.A. Aziz, T. Ramayah, B. Saad (2007). Integrating information technology in the construction industry: Technology readiness assessment of Malaysian contractors. International Journal of Project Management, 25(2), February, 115-120.
[28] Jang, H.Y. and M.J., Noh (2011). Customer acceptance of IPTV service quality. International Journal of Information Management, 31(6), December, 582-592.
[29] Jiang Y., J. Shang, and Y. Liu (2010).Maximizing customer satisfaction through an online recommendation system: A novel associative classification model. Decision Support Systems, 48(3), February, 470-479.
[30] Karahanna, E., &; Straub, D. W. (1999). The psychological origins of perceived usefulness and ease-of-use. Information &; Management, 35(4), 237-251.
[31] Kang Y.S., S. Hong, and H. Lee (2009). Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25(1), January, 111-122.
[32] Kim, S. and Stoel, L. (2004). Apparel retailers: web site quality dimensions and satisfaction", Journal of Retailing and Consumer Services, 11(2), 109-17.
[33] Koufaris M. and W. Hampton-Sosa (2002). Customer trust online: examining the role of the experience with the Web-site. CIS Working Paper Series, Zicklin School of Business, Baruch College, New York, NY. Electronic publication, URL: http://cisnet.baruch.cuny.edu/papers/cis200205.pdf.
[34] Kowatsch T. and W. Maass (2010). In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences. Computers in Human Behavior, 26(4), July, 697-704.
[35] Kozak M. and M. Rimmington (2000). Tourist satisfaction with Mallorca, Spain as an off-season holiday destination. Journal of Travel Research, 38(February), 260-269.
[36] Kovar, S; Burke, K. and Kovar, B. (2000).“Consumer Responses to the CPA Web Trust Assurance,” Journal of Information Systems, 14(1), 17-25.
[37] Ladhari R., I. Brun, and M. Morales (2008). Determinants of dining satisfaction and post-dining behavioral intentions. International Journal of Hospitality Management, 27(4), December, 563-573.
[38] Lai J.Y., C.T. Wang, C.Y. Chou (2009). How knowledge map fit and personalization affect success of KMS in high-tech firms. Technovation, 29(4), April, 313-324.Lin C.S., S. Wu, and R.J. Tsai (2005). Integrating perceived playfulness into expectation confirmation model for web portal context. Information &; Management, 42(5), 683-693.
[39] Lederer, A. L., Maupin, D. J., Sena, M. P. and Zhuang, Y. (2000), “The technology acceptance model and the world wide web,” Decision Support Systems, No. 3, 269-282.
[40] Lee M. C. (2010), “Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model,”Computers &; Education, Volume 54, Issue 2, February 2010, 506-516.
[41] Lee C.K., Y.S. Yoon, and S.K. Lee (2007). Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ. Tourism Management, 28(1), February, 204-214.
[42] Lee, K.O. and E. Turban (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75-91.
[43] Liao C., P. Palvia, and J.L. Chen (2009). Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT). International Journal of Information Management, 29(4), August, 309-320.
[44] Liljander V., F. Gillberg, J. Gummerus, and A. van Riel. (2006). Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing &; Consumer Services, 13(3), 177-191.
[45] Limayem M. and C.M.K. Cheung (2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information &; Management, 45(4), 227-232.
[46] Lin C.S., S. Wu, and R.J. Tsai (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information &; Management, 42(5), 683-693.
[47] Lin J.S. and P.L. Hsieh (2006). The role of technology readiness in customers' perception and adoption of self-service technologies. International Journal of Service Industry Management, 17(5), 497-517.
[48] Lin J.S.C. and P.L. Hsieh (2007). The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies. Computers in Human Behavior, 23(3), May, 1597-1615.
[49] Lin T.C., S. Wu, J.S.C. Hsu, and Y.C. Chou (in press). The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems, In Press, Corrected Proof, Available online 24 April 2012.
[50] Lu, J., L. Wang, L.A. Hayes (2012). How do technology readiness, platform functionality and trust influence C2C user satisfaction? Journal of Electronic Commerce Research, 13(1), 50-69.
[51] Lu J., L. Hayes, C.S. Yu, and L.Z. Wang (2010). Technology readiness, trustworthiness, and use of e-auctions. Proceedings of the 41st Annual Conference of SWDSI 2010 (March 2 – March 6, 2010).
[52] Mankins, J. C. (2009), “Technology Readiness Assessments: A Retrospective,” Acta Astronautica, 65(9-10), 1216-1223.
[53] Martins, L. L. &; Kellermanns (2004). A Model of Business School Students’ Acceptance of a Web-Based Course Management System. Academy of Management Learning and Education, 3(1), 7-26.
[54] Martín-Santana J.D. and A. Beerli-Palacio (in press). Achieving donor repetition and motivation by block leaders among current blood donors. Transfusion and Apheresis Science, In Press, Corrected Proof, Available online 8 June 2012.
[55] Massey, Doreen. 2005. For Space. London: Sage McCormack, Derek P. 2003. An event of geographical ethics in spaces of affect. Transactions of the Institute of British Geographers 28, 488-507.
[56] McKinney V., K. Yoon, and F.M. Zahedi (2002). The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Information Systems Research, 13(3), 296-315.
[57] Meneely L., C. Strugnell, and A. Burns (2009). Elderly consumers and their food store experiences. Journal of Retailing and Consumer Services, 16(6), November, 458-465.
[58] Nunnally, J. C., 1978. “Psychometric Theory”. 2nd, McGraw-Hill Book Company. New York, NY.
[59] Oliver R.L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing, 17(4), 460-469.
[60] Oliver R.L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25-48.
[61] Parasuraman A. (2000). Technology readiness index (TRI): A multiple item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.
[62] 58. Park Y.J. and K.N. Chang (2009). Individual and group behavior-based customer profile model for personalized product recommendation. Expert Systems with Applications, 36(2), Part 1, March, 1932-1939.
[63] Park J.H., B. Gu, and H.Y. Lee (2012). The relationship between retailer-hosted and third-party hosted WOM sources and their influence on retailer sales. Electronic Commerce Research and Applications, 11(3), May–June, 253-261.
[64] Pizam, A. and A. Milman (1993). Predicting satisfaction among first time visitors to a destination by using the expectancy disconfirmation theory. International Journal of Hospitality Management, 12 (2), 197-209.
[65] Premkumar G. and A. Bhattacherjee (2008), Explaining information technology usage: A test of competing models. The International Journal of Management Science (Omega), 36, 1, 64-75.
[66] Shang A, Huwiler-Muntener K, Nartey L, et al (2005). Are the clinical effects of homoeopathy placebo effects? Comparative study of placebo-controlled trials of homoeopathy and allopathy. Lancet, 366: 726–732.
[67] Shih H.P. (2004a). “An empirical study on predicting user acceptance of e-shopping on the Web,” Information &; Management, 41(3), January, 351-368.
[68] Shih H. P. (2004b). “Extended technology acceptance model of internet utilization behavior,” Information and Management, 41(6), 719-729.
[69] Shih, H. P. An empirical study on predicting user acceptance of e-chopping on the Web. Information &; Management, 41, 3, 2004, 351–368.
[70] Senecal S. and J. Nantel (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159-169.
[71] Soriano R.D. (2002). Customers’expectations factors in restaurants. International Journal of Quality and Reliability Management, 19(8-9), 1055-1067.
[72] Sørebø Ø. and T.R. Eikebrokk (2008). “Explaining IS continuance in environments where usage is mandatory,” Computers in Human Behavior, 24(5), September, 2357-2371.
[73] Spreng, R. A., MacKenzie, S. B., &; Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60(3), 15-32.
[74] Stevens P., B. Knutson, and M. Patton (1995). DINESERV: a tool for measuring service quality in restaurant. Cornell Hotel and Restaurant Administration Quarterly, 36(2), 56-60.
[75] Summak, MS, Summak, AEG, &; Summak, PS (2010). Building the Connection between Mind, Brain and Educational Practice; Roadblocks and some Prospects. Procedia - Social and Behavioral Sciences, 2 (2), 1644-1647.
[76] Steven A Taylor, Kevin Celuch, Stephen Goodwin. Journal of Insurance Issues. ,2002,”Technology readiness in the e-insurance industry: An exploratory investigation and development of an agent technology e-consumption model”,Northridge: Fall 2002 vol25 , Iss. 2;pg. 142, 24.
[77] Thong J.Y.L., S.J. Hong, and K.Y. Tam (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), September, 799-810.
[78] Towle B. and C. Quinn (2000). Knowledge-based recommender systems using explicit user models. Knowledge-based Electronic Markets: Paper from AAAI, Technical Report WS-00-04, 74-77.
[79] Victorino L., E. Karniouxhina, and R. Verma (2009). Exploring the use of the abbreviated technology readiness index for hotel customer segmentation. Cornell Hospitality Quarterly, 50(3), 342-359.
[80] Walczuch, R., J. Lemmink, and S. Streukens. (2007). The effect of service employees’ technology readiness on technology acceptance. Information &; Management, 44(2), 206-215.
[81] Y. Wang, W. Dai, and Y. Yuan (2008). Website browsing aid: A navigation graph-based recommendation system. Decision Support Systems, 45(3), June, 387-400.
[82] Yen C.H. and H.P. Lu (2008). Factors influencing online auction repurchase intention. Internet Research, 18(1), 7-25.
[83] Young J.J., K.Y. Lim, E.K. Kim (2011). Online university students' satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers &; Education, 57(2), September 1654-1664.
[84] Yu, C.C.W., Sung, R.Y.T., So, R.C.H., Lui, K., Lau, W., Lam, P.K.W., et al. (2005). Effects of strength training on body composition and bone mineral content in children who are obese. Journal of Strength and Conditioning Research, 19, 667-672.
[85] Patlada Sae-Ching,2012,Extending the TAM Model from the Perspective of Consistent/ Inconsistent User Interface - An Example of Smart Phone
[86] Le Thi Huong,2012,The Impact of Shopping Motivation on Consumer's Behavioral Intention for Online Shopping: An Empirical Study in Vietnam.
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