系統識別號 U0026-0607201218374800
論文名稱(中文) 以渴望一致性與自我一致性理論探討線上社群網絡服務平台的持續使用意圖
論文名稱(英文) Exploring the Continued Usage Intention of Online Social Network Sites: Based on Desire-Congruence and Self-Congruence Theory
校院名稱 成功大學
系所名稱(中) 資訊管理研究所
系所名稱(英) Institute of Information Management
學年度 100
學期 2
出版年 101
研究生(中文) 溫千豪
研究生(英文) Chien-Hao Wen
學號 r76991127
學位類別 碩士
語文別 中文
論文頁數 105頁
口試委員 指導教授-王維聰
中文關鍵字 自我一致性理論  渴望一致性  資訊系統成功模型  持續使用意圖 
英文關鍵字 Self congruence  Desire congruence  Information system success model  continued usage intention 
中文摘要 近年來由於社交網站(Social Network Sites, SNS)的崛起,此類平台在世界各地都有大量的使用者,而目前國內外最為知名且最普遍使用的facebook已成為許多人每天必定造訪且停留時間最長的網站。由於facebook的成功,各家業者紛紛推出各類型的SNS平台,因此如何留住使用者即持續使用意願便是業者所關心的議題。
以SNS的功能、特性看來,展現自我及分享所愛佔了極大的部分,若平台能夠讓使用者表達個人形象的功能越多,該平台個人頁面塑造出的形象與使用者本人的形象一致程度也就越高。因此自我一致性也就是個人形象及平台形象的一致程度對於平台的滿意度及持續意圖必然是重要的影響因素。渴望與產品績效比較後的一致程度為渴望一致性,也就是消費者主觀評估的產品績效是否符合消費者渴望的程度,許多文獻也證實渴望一致性對於滿意度的評估相較於期望不確認理論是更好的指標。因此本研究將結合渴望一致性衡量SNS平台的滿意度並以DeLone and McLean (2003)的資訊系統成功模型及Wang (2008)電子商務成功模型架構中的資訊品質、系統品質以及服務品質做為平台渴望的衡量標準,並納入真實自我一致性及理想自我一致性探討SNS平台的持續使用意圖。
本研究針對SNS平台的使用者進行問卷的調查,共收集385份有效問卷,並以結構方程模式(structural equation modeling)分析調查結果。研究結果顯示,真實與理想自我一致性會直接的影響使用者滿意度進而影響使用者持續使用的意願,而渴望一致性方面的部分,雖然資訊品質的渴望一致性對於SNS平台的滿意度沒有顯著的影響,但使用者對SNS系統品質與服務品質之渴望與使用SNS獲得績效的一致程度越高對於滿意度仍有正向的影響。本研究結果彌補過去文獻之不足,並提供SNS業者在留住使用者方面相關實務之依據。
英文摘要 With the rise of Social Network Sites (SNSs), more and more users start to use these sites. Facebook has become one of the most popular SNSs among the Internet users. Because of the success of Facebook, many companies start to develop SNS. For them, the critical concern is to increase users’s continued usage. SNSs allow users to express themselves and let them share with people their interests. The more functions that an SNS provides to help users express themselves, the higher the degree of congruence between the site’s image and users’s actual ones. Self congruence means congruent degree between the site's image and uses’s images. The congruence would affect users’s satisfaction after using the sites, resulting in whether they would continue use it or not. Desire congruence means the congruent degree between a product's performance and a user's desire. A number of prior studies also confirm that the desire congruence theory has a better performance on evaluating user satisfaction than that of the expectation disconformation theory.Therefore, desire congruence theory will be used for evaluating users’s satisfaction in this research. In addition to the theory of actual self congruence and ideal self congruence, the research model incldues three quality constructs adopted from DelLone and McLean(2003)’s Information System Success Model in order to to explain and predict users’s continued usage intention of online social network sites.
Research hypotheses proposed in this study were empirically validated based on survey data of 385 SNS users using the structural equation modeling technique. The results indicate that satisfaction is jointly determined by actual self congruence, ideal self congruence, desire congruence of system quality, and desire congruence of service quality. Continued usage intention is determined by satisfaction. The contributions of this study include not only the elimination of the theoretical gaps in prior studies, but it also insightful managerial implications for SNS service providers.
論文目次 摘要 I
誌謝 III
目錄 IV
表目錄 VI
圖目錄 VIII
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 6
2.1.1 社交網站之定義 6
2.1.2 SNS相關研究與發展狀況 7
第二節 自我概念與自我一致性 9
2.2.1自我概念 9
2.2.2自我概念之構面 9
2.2.3自我一致性 10
2.2.4自我一致性之應用 11
第三節 渴望 13
2.3.1期望不確認理論 13
第四節 資訊系統成功模型 20
2.4.1 DeLone & McLean (1992) 資訊系統成功模型 20
2.4.2 DeLone & McLean (2003) 修正的資訊系統成功模型 21
2.4.3 Wang(2008)電子商務成功模型 24
第五節 小結 26
第三章 研究方法 28
第一節 研究架構 28
第二節 研究假說 29
3.2.1 真實自我一致性、理想自我一致性 29
3.2.2 渴望一致性與資訊系統三項品質構面 29
第三節 問卷設計 33
第四節 資料分析 40
3.4.1 前測 40
3.4.2 資料收集 46
第五節 資料分析方法 47
3.5.1 衡量模型 47
3.5.2 結構化模型 51
第四章 資料分析 54
第一節 敘述性統計分析 54
4.1.1基本資料敘述性統計分析 54
4.1.2 研究變項敘述統計分析 56
4.1.3 研究構面的同質性檢定 59
4.1.4 研究變項的常態性檢定 61
第二節 信度分析 65
第三節 相關分析 67
第四節 衡量模型 68
4.4.1 適配度分析 68
4.4.2 收斂效度分析 72
4.4.3 區別效度分析 74
第五節 結構模型 76
4.5.1 適配度分析 76
4.5.2 路徑分析與假說檢定 79
第六節 結構模型 83
第五章 結論與建議 84
第一節 研究發現與結論 84
第二節 研究貢獻 86
第三節 研究限制與未來研究方向 88
參考文獻 89
附錄一 前測問卷 96
附錄二 正式問卷 101
參考文獻 彭台光, 高月慈, & 林鉦棽. (2006). 管理研究中的共同方法變異: 問題本質, 影響, 測試和補救. 管理學報, 23(1), 77-98.
邱皓政. (2003). 結構方程模式:LISREL的理論技術與應用. 台北市: 雙葉.
蕭文龍. (2007). 多變量分析最佳入門實用書-SPSS+LISREL(SEM). 台北市: 碁峰資訊.

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly(2), 227-247.
Aguirre-Rodriguez, A., Bosnjak, M., & Sirgy, M. J. (2011). Moderators of the self-congruity effect on consumer decision-making: A meta-analysis. Journal of Business Research. doi: 10.1016/j.jbusres.2011.07.031
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Barbeau, J. B. (1985). Predictive and normative expectations in consumer satisfaction: a utilization of adaptation and comparison levels in a unified framework. Conceptual and Empirical Contributions to Consumer Satisfaction and Complaining Behavior (pp. 27-32). Bloomington IN: Indian University School of Business.
Beerli, A., Meneses, G. D., & Gil, S. M. (2007). Self-congruity and destination choice. Annals of Tourism Research, 34(3), 571-587.
Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214.
Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Boyd, D., & Heer, J. (2006). Profiles as conversation: Networked identity performance on Friendster. Paper presented at the Proceeding of the 39th Annual Hawaii International Conference Hawaii.
Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer Mediated Communication, 13(1), 210-230.
Breazeale, M., & Ponder, N. (2011). Get the picture? Visual servicescapes and self-image congruity. Journal of Business Research. doi: 10.1016/j.jbusres.2011.06.009

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. SAGE FOCUS EDITIONS, 154, 136-136.
Burns, R. B. (1979). The self concept in theory, measurement, development and behaviour. New York: Longman
Chi, C. G. Q., & Qu, H. (2008). Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tourism Management, 29(4), 624-636.
Chin-ChehYi, P. W. L., Huang, C. F., & Hwang, I. H. (2009). Acceptance of Mobile Learning: a Respecification and Validation of Information System Success. Paper presented at the Proceedings of World Academy of Science, Engineering and Techonology, Japan, Tokyo.
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.
Churchill Jr, G. A., & Surprenant, C. (1982). An investigation into the determinants of customer satisfaction. Journal of Marketing Research, 19(4), 491-504.
Couper, M. P. (2000). Review: Web surveys: A review of issues and approaches. The Public Opinion Quarterly, 64(4), 464-494.
Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of retailing, 76(2), 193-218.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: the quest for the dependent variable. Information systems research, 3(1), 60.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of management information systems, 19(4), 9-30.
DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9(1), 31-47.
Diefenbach, M. A., Weinstein, N. D., & O'Reilly, J. (1993). Scales for assessing perceptions of health hazard susceptibility. Health Education Research, 8(2), 181.
Dolich, I. J. (1969). Congruence relationships between self images and product brands. Journal of Marketing Research, 6(1), 80-84.
Doll, W. J., & Torkzadeh, G. (1991). A congruence construct of user involvement. Decision Sciences, 22(2), 443-453.
Doong, H. S., & Lai, H. (2008). Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach. Group Decision and Negotiation, 17(2), 111-126.
Dusek, J. B. (1991). Adolescent development and behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
Eggert, A., & Ulaga, W. (2002). Customer perceived value: a substitute for satisfaction in business markets? Journal of Business & Industrial Marketing, 17(2/3), 107-118.
Ekinci, Y., Dawes, P. L., & Massey, G. R. (2008). An extended model of the antecedents and consequences of consumer satisfaction for hospitality services. European Journal of Marketing, 42(1/2), 35-68.
Ekinci, Y., & Riley, M. (2003). An investigation of self-concept: actual and ideal self-congruence compared in the context of service evaluation. Journal of Retailing and Consumer Services, 10(4), 201-214.
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The Benefits of Facebook "Friends:" Social Capital and College Students' Use of Online Social Network Sites. Journal of Computer Mediated Communication, 12(4), 1143-1168.
Fornell, & Larcker. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39-50.
Gefen, D., Straub, D. W., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice.
Graeff, T. R. (1996). Using promotional messages to manage the effects of brand and self-image on brand evaluations. Journal of Consumer Marketing, 13(3), 4-18.
Hadjistavropoulos, H. D., Frombach, I. K., & Asmundson, G. J. G. (1999). Exploratory and confirmatory factor analytic investigations of the Illness Attitudes Scale in a nonclinical sample. Behaviour research and therapy, 37(7), 671-684.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689-708.
Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European Journal of Marketing, 37(11/12), 1762-1800.
Hong, & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: the case of mobile data services. Information systems research, 17(2), 162-179.
Hong, S., Kim, J., & Lee, H. (2008). Antecedents of use-continuance in information systems: Toward an inegrative view. Journal of Computer Information Systems, 48(3), 61-73.
Hosany, S., & Martin, D. (2011). Self-image congruence in consumer behavior. Journal of Business Research, 65(5), 685-691.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modelling, 6(1), 1-55.
Ibrahim, H., & Najjar, F. (2008). Assessing the effects of self-congruity, attitudes and customer satisfaction on customer behavioural intentions in retail environment. Marketing Intelligence & Planning, 26(2), 207-227.
Jamal, A. (2004). Retail banking and customer behaviour: a study of self concept, satisfaction and technology usage. The International Review of Retail, Distribution and Consumer Research, 14(3), 357-379.
Jamal, A., & Al-Marri, M. (2007). Exploring the effect of self-image congruence and brand preference on satisfaction: the role of expertise. Journal of Marketing Management, 23, 7(8), 613-629.
Jarvenpaa, S. L., Tractinsky, N., & Vitalec, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1, 45-71.
Jin, X. L., Cheung, C. M. K., Lee, M. K. O., & Chen, H. P. (2009). How to keep members using the information in a computer-supported social network. Computers in Human Behavior, 25(5), 1172-1181.
Johar, J. S., & Sirgy, M. J. (1991). Value-expressive versus utilitarian advertising appeals: when and why to use which appeal. Journal of Advertising, 20(3), 23-33.
Kang, Y. S., Hong, S., & Lee, H. (2009). Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25(1), 111-122.
Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353-364.
Kannan, V. R., & Tan, K. C. (2005). Just in time, total quality management, and supply chain management: understanding their linkages and impact on business performance. Omega, 33(2), 153-162.
Kleijnen, M., De Ruyter, K., & Andreassen, T. W. (2005). Image congruence and the adoption of service innovations. Journal of Service Research, 7(4), 343.
Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling. New York: Guilford Press.
Kressmann, F., Sirgy, M. J., Herrmann, A., Huber, F., Huber, S., & Lee, D. J. (2006). Direct and indirect effects of self-image congruence on brand loyalty. Journal of Business Research, 59(9), 955-964.
Kwak, D. H., & Kang, J. H. (2009). Symbolic purchase in sport: the roles of self-image congruence and perceived quality. Management Decision, 47(1), 85-99.
Lam, S. Y., Shankar, V., Erramilli, M. K., & Murthy, B. (2004). Customer value, satisfaction, loyalty, and switching costs: an illustration from a business-to-business service context. Journal of the Academy of Marketing Science, 32(3), 293.
Liao, C., Chen, J. L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822.
Limayem, M., & Cheung, C. M. K. (2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information & Management, 45(4), 227-232.
Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683-693.
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.
Molla, A., & Licker, P. S. (2001). E-commerce systems success: An attempt to extend and respecify the DeLone and McLean model of IS success. Journal of Electronic Commerce Research, 2(4), 131-141.
Neuman, W. L. (2000). Social research methods: Qualitative and quantitative approaches. Needham, MA: Allyn and Bacon Needham Heights.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
Ou, C. X. J., Davison, R. M., & Cheng, N. C. K. (2009). Why are social network applications successful? An empirical study of Twitter. Paper presented at the Proceeding of 2011 Pacific Asia Conference on Information Systems.
Palmer, J. W. (2003). Web site usability, design, and performance metrics. Information systems research, 13(2), 151-167.
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.
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service quality: a measure of information systems effectiveness. Mis Quarterly, 19(2), 173-187.
Porter, C. E., & Donthu, N. (2008). Cultivating trust and harvesting value in virtual communities. Management Science, 54(1), 113-128.
Premkumar, G., & Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. Omega, 36(1), 64-75.
Rai, A., Lang, S. S., & Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information systems research, 13(1), 50.
Reichheld, F. F., & Schefter, P. (2000). E-loyalty: your secret weapon on the web. Harvard business review, 78(4), 105-113.
Ross, I. (1971). Self-concept and brand preference. The Journal of Business, 44(1), 38-50.
Schenk, C. T., & Holman, R. H. (1980). A sociological approach to brand choice: the concept of situational self image. Advances in Consumer Research, 7(1), 610-614.
Seddon, P., & Kiew, M. Y. (1996). A partial test and development of DeLone and McLean's model of IS success. Australasian Journal of Information Systems, 4(1).
Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information systems research, 8(3), 240-253.
Sharma, S. (1996). Applied multivariate techniques.
Sirgy, M. J. (1982). Self-concept in consumer behavior: A critical review. Journal of consumer research, 9(3), 287-300.
Sirgy, M. J. (1985). Using self-congruity and ideal congruity to predict purchase motivation. Journal of Business Research, 13(3), 195-206.
Sirgy, M. J., Grewal, D., Mangleburg, T. F., Park, J., Chon, K. S., Claiborne, C., . . . Berkman, H. (1997). Assessing the predictive validity of two methods of measuring self-image congruence. Journal of the Academy of Marketing Science, 25(3), 229-241.
Sledgianowski, D., & Kulviwat, S. (2008, August). Social network sites: Antecedents of user adoption and usage. Paper presented at the Proceedings of 14th Americas Conference on Information Systems, Toronto.
Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A reexamination of the determinants of consumer satisfaction. The Journal of Marketing, 60(3), 15-32.
Spreng, R. A., & Mackoy, R. D. (1996). An empirical examination of a model of perceived service quality and satisfaction. Journal of retailing, 72(2), 201-214.
Spreng, R. A., & Olshavsky, R. W. (1993). A desires congruency model of consumer satisfaction. Journal of the Academy of Marketing Science, 21(3), 169-177.
Swan, J. E., & Trawick, I. F. (1979). Satisfaction related to predictive vs. desired expectations. 7-12.
Tanaka, J. S. (1987). " How Big Is Big Enough?": Sample Size and Goodness of Fit in Structural Equation Models with Latent Variables. Child Development(1), 134-146.
Tang, T. I. (2003). Assessing Customer Perceptions of Website Service Quality in Digital Marketing Environments. Journal of End User Computing, 15(3), 14-31.
Tayie, S. (2005). Reasearch Methods and Writing Reasearch Proposals. Cario: Center for Advancement of Postgraduate Studies and Research in Engineering Sciences, Faculty of Engineering-Cairo University (CAPSCU).
Usakli, A., & Baloglu, S. (2011). Brand personality of tourist destinations: An application of self-congruity theory. Tourism Management, 32(1), 114-127.
Wallace, D. W., Giese, J. L., & Johnson, J. L. (2004). Customer retailer loyalty in the context of multiple channel strategies. Journal of retailing, 80(4), 249-263.
Wang, & Lin, J. C. C. (2011). The effect of social influence on bloggers' usage intention. Online Information Review, 35(1), 50-65.
Wang, Y. S. (2008). Assessing e commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557.
Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological methodology, 8(1), 84-136.
Wirtz, J., & Mattila, A. (2001). Exploring the role of alternative perceived performance measures and needs-congruency in the consumer satisfaction process. Journal of Consumer Psychology, 11(3), 181-192.
Yim, C. K. B., Chan, K. W., & Hung, K. (2007). Multiple reference effects in service evaluations: Roles of alternative attractiveness and self-image congruity. Journal of retailing, 83(1), 147-157.
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.
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