隨著臉書(Facebook)服務的流行，臉書的使用已成為使用者生活不可缺少的部分，其中，又因為行動裝置及行動網路的興起，使用打卡服務的人數也逐漸增加，而在分享資訊變得更加容易分享的同時，個人隱私的保護變得更加重要。目前，針對臉書打卡服務, 這種自我揭露行為的持續使用的研究並不多，且有部分使用者無使用打卡服務的意願，因此，為了了解最近臉書研究的趨勢及探討打卡服務, 這種自我揭露行為使用的動機因素，本論文透過兩個系列的研究進行探究。
在第一部分的研究中，本論文使用文獻引用分析，使用Jumper（圖書館資源探索服務），進行近十年(2005年∼2015年)相關研究的搜尋及分析，以了解臉書研究的趨勢。在分析中發現，臉書的研究在近幾年中仍很熱門，受到不少學者的關注，然而，針對打卡服務, 這種自我揭露行為的研究不多。在第二部分的研究中，本論文以期望確認模型為基礎，同時加入隱私權因素，來探討影響人們持續使用打卡服務的因素為何。本研究收集了205份有效樣本，並使用SmartPLS軟體進行分析。研究結果指出認知有用性對持續使用意願及滿意度的影響不顯著，但知覺娛樂性在持續使用意願的影響上是很顯著的。此外，使用者的滿意度不只被確認影響，也被知覺娛樂性顯著影響。相對來說，對於隱私權的擔心似乎沒有對滿意度和使用意願的關係造成影響。另外，使用臉書的頻率對於打卡服務的使用而言是很重要的因素。整體而言，本研究模型整合了期望確認理論後對於打卡服務的使用意願上來說具有良好的解釋力。最後，本論文針對研究的結果及發現，提出學術及管理意涵，以協助業者訂定更完善的經營策略，並提供研究人員在未來研究方向上的參考。

With the popularity of Facebook, the usage of Facebook has been an important part of users’ life. In addition, because of the development of mobile devices and mobile Internet, the number of the users accepted the added on services provided by Facebook is increasing as well. The privacy concern in check-in services becomes more important while more and more users adopt the services. So far few researchers focus on the study of continuous usage of LBS. Some of Facebook users are not willing to use the services. Hence, in order to understand the trend of Facebook research and the factors of continuous usage of LBS, this dissertation conducted two studies in series to explore the determinants.
In the first study, to assess the trends of Facebook research, Jumper, a web scale discovery service, was used to explore the related academic research in recent ten years. It is found that Facebook-related research is still popular and attracts a lot of attentions in recent years. However, few Facebook-related studies focused on the continuous usage of LBS. In the second study, this study developed a research model based on an expectation confirmation model (ECM) and related technology adoption literature, and examined data from a random survey of 205 users. The results indicated that the direct path between perceived usefulness and continuance intention and satisfaction was not significant but that perceived playfulness exerted a significant influence on satisfaction and continuance intention. In addition, users’ satisfaction was influenced not only by confirmation but also by perceived playfulness. In contrast, privacy concerns did not seem to influence the direct path between satisfaction and continuance intention. Usage frequency was an important indicator in determining user continuance intention. Overall, we found that an integrated model of the ECM had a better explanatory power of Facebook check-in service continuance usage.

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology. A replication. MIS Quarterly, 16(2), 227-247.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
Amichai-Hamburger, Y. (2002). Internet and personality. Computers in Human Behavior, 18(1), 1-10.
Ateljević, J., & Martin, F. (2011). The Use of Location Specific Advertisements on Facebook: Can they help entrepreneurs solve problems associated with banner advertisements? Paper presented at the Challenges of Europe: Growth and Competitiveness – Reversing the Trends.
Basak, E., & Calisir, F. (2015). An empirical study on factors affecting continuance intention of using Facebook. Computers in Human Behavior, 48, 181-189.
Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30(4), 411-420.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229-254.
Boyd, D. m., & Ellison, N. B. (2007). Social Network Sites: Definition , History , and Scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399-426.
Campbell, A. J. (1997). Relationship marketing in consumer markets: A comparison of managerial and consumer attitudes about information privacy. Journal of Interactive Marketing, 11(3), 44-57.
Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008). Addressing the what and how of online services: positioning supporting-services functionality and service quality for business-to-consumer success. Information Systems Research, 19(2), 161-181.
Chang, C.-C. (2013). Examining users' intention to continue using social network games: A flow experience perspective. Telematics and Informatics, 30(4), 311-321.
Chang, C.-W., & Chen, G. M. (2014). College students' disclosure of location-related information on Facebook. Computers in Human Behavior, 35, 33-34.
Chang, C.-W., & Heo, J. (2014). Visiting theories that predict college students' self-disclosure on Facebook. Computers in Human Behavior, 30, 79-86.
Chang, Y. P., & Zhu, D. H. (2012). The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995-1001.
Chea, S., & Luo, M. M. (2008). Post-adoption behaviors of e-service customers: the interplay of cognition and emotion. International Journal of Electronic Commerce, 12(3), 29-56.
Chen, Y.-Y., Huang, H.-L., Hsu, Y.-C., Tseng, H.-C., & Lee, Y.-C. (2010). Confirmation of expectations and satisfaction with the Internet shopping: The role of Internet self-efficacy. Computer and Information Science, 3(3), 14-22.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Mahwah, NJ: Erlbaum.
Chiu, C.-M., Cheng, H.-L., Huang, H.-Y., & Chen, C.-F. (2013). Exploring individuals' subjective well-being and loyalty towards social network sites from the perspective of network externalities: The Facebook case. International Journal of Information Management, 33(3), 539-552.
Chiu, C.-M., Chiu, C.-S., & Chang, H.-C. (2007). Examining the integrated influence of fairness and quality on learners' satisfaction and Web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.
Choi, J., Jung, J., & Lee, S.-W. (2013). What causes users to switch from a local to a global social network site? The cultural, social, economic, and motivational factors of Facebook' s globalization. Computers in Human Behavior, 29(6), 2665-2673.
Correa, T., Hinsley, A. W., & Zúñiga, H. G. d. (2010). Who interacts on the Web?: The intersection of users' personality and social media use. Computers in Human Behavior, 26(2), 247-253.
Culnan, M. J., & Milne, G. R. (2001). The Culnan-Milne Survey on consumers & online privacy notices: Summary of responses. Interagency Public Workshop: Get Noticed: Effective financial privacy notices, Washington DC.
Danaher, P. J., Rust, R. T., Easton, G., & W, S. M. (1996). Indirect financial benefits from service quality. Quality Management Journal, 3(2), 63-75.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(3), 982-1004.
Dineva, T., & Harta, P. (2006b). Internet privacy concerns and social awareness as determinants of intention to transact. International Journal of Electronic Commerce, 10(2), 7-29.
Donath, J. (2007). Signals in Social Supernets. Journal of Computer-Mediated Communication, 13(1), 231-251.
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.
Ebeling-Witte, S., Frank, M. L., & Lester, D. (2007). Shyness, Internet use, and personality. CyberPsychology & Behavior, 10(5), 713-716.
Facebook.com (2013b). Newsroom: Key facts. <https://newsroom.fb.com/key-facts>. Retrieved 27.03.013
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Frigui, S., Rouibah, K., & Marzocchi, G. L. (2013). Cross-Cultural comparison between arabic and western countries in location-based social networking usage on mobile phones: The case of Facebook. Issues in Information Systems, 14(2), 109-118.
Garde-Perik, E. v. d., Markopoulos, P., Ruyter, B. d., Eggen, B., & Ijsselsteijn, W. (2008). Investigating privacy attitudes and behavior in relation to personalization. Social Science Computer Review, 26(1), 20-43.
Hand, A., Cardiff, J., Magee, P., & Doody, J. (2006). An architecture and development methodology for location-based services. Electronic Commerce Research and Applications, 5(3), 201-208.
Harris, L., & Dennis, C. (2011). Engaging customers on Facebook: Challenges for e-retailers. Journal of Consumer Behaviour, 10(6), 338-346.
Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion: An accessibility–diagnosticity perspective. Journal of Consumer Research, 17, 454-462.
Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.
Hong, J.-C., Hwang, M.-Y., Hsu, C.-H., Tai, K.-H., & Kuo, Y.-C. (2015). Belief in dangerous virtual communities as a predictor of continuance intention mediated by general and online social anxiety: The Facebook perspective. Computers in Human Behavior, 48, 663-670.
Hong, S.-J., Thong, J., & Tam, K. Y. (2005). Understanding continued IT usage: An extension to the expectation-confirmation model in IT domain. PACIS 2005 Proceedings, 105, 1267-1280.
Hong, S.-J., Thongb, J. Y. L., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 42(3), 1819-1834.
Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.
Hsu, C.-L., & Lu, H.-P. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642-1659.
Hsu, M.-H., & Chiu, C.-M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour & Information Technology, 23(5), 359-373.
Hu, T., & Kettinger, W. J. (2008). Why people continue to use social networking services: Developing a comprehensive model. ICIS 2008 Proceedings, 89.
Ibrahim, Y. (2008). The new risk communities: Social networking sites and risk. International Journal of Media & Cultural Politics, 4(2), 245-253.
Igbaria, M. (1990). End-user computing effectiveness: A structural equation model. Omega, 18(6), 637-652.
Jiang, B., & Yao, X. (2006). Location-based services and GIS in perspective. Computers, Environment and Urban Systems, 30(6), 712-725.
Kühn, P. J. (2004). Location-based services in mobile communication infrastructures. AEU - International Journal of Electronics and Communications, 58(3), 159-164.
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.
Kim, B. (2010). An empirical investigation of mobile data service continuance: Incorporating the theory of planned behavior into the expectation-confirmation model. Expert Systems with Applications, 37(10), 7033-7039.
Kim, B. (2011). Understanding antecedents of continuance intention in social-networking services. Cyberpsychology, Behavior and Social Networking, 14(4), 199-205.
Kim, B., Choi, M., & Han, I. (2009). User behaviors toward mobile data services: The role of perceived fee and prior experience. Expert Systems with Applications, 36(4), 8528-8536.
Kim, B., & Han, I. (2009). The role of trust belief and its antecendents in a community-driven environment. Journal of the American Society for Information Science and Technology, 60(5), 1012-1026.
Kisekka, V., Bagchi-Sen, S., & Rao, H. R. (2013). Extent of private information disclosure on online social networks: An exploration of Facebook mobile phone users. Computers in Human Behavior, 29(6), 2722-2729.
Ko, H., Cho, C., & Robert, M. (2005). Internet use and gratification: A structural equation model of interative advertising . Journal of Advertising, 34(2), 57-70.
Koeppel, I. (2000). What are location services? – From a GIS perspective.
Korzaan, M. L., & Boswell, K. T. (2008). The Influence of Personality Traits and Information Privacy Concerns on Behavioral Intentions. Journal of Computer Information Systems, 48(4), 15.
Lallmahomed, M. Z. I., Ab.Rahim, N. Z., Ibrahim, R., & Rahman, A. A. (2013). Predicting different conceptualizations of system use: Acceptance in hedonic volitional context (Facebook). Computers in Human Behavior, 29(6), 2776-2787.
Lee, S., & Cho, M. (2011). Social media use in a mobile broadband environment: examination of determinants of twitter and Facebook use. Mobile Marketing Association, 6(2), 71-87.
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.
Liao, C., Liu, C.-C., & Chen, K. (2011). Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model. Electronic Commerce Research and Applications, 10(6), 702-715.
Lim, S. S., Chan, Y. H., Vadrevu, S., & Basnyat, I. (2013). Managing peer relationships online-Investigating the use of Facebook by juvenile delinquents and youths-at-risk. Computers in Human Behavior, 29(1), 8-15.
Limayema, 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.-P. (2010). Learning virtual community loyalty behavior from a perspective of social cognitive theory. International Journal of Human-Computer Interaction, 26(4), 345-360.
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, K.-Y., & Lu, H.-P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161.
Magro, M. J., Ryan, S. D., & Prybutok, V. R. (2013). The Social Network Application Post-Adoptive Use Model (SNAPUM): A Model Examining Social Capital and Other Critical Factors Affecting the Post-Adoptive Use of Facebook. Informing Science, 16, 37-69.
Mahrous, A. A., & Hussein, R. S. (2012). Levels of Facebook Use: Evidence from Egypt. International Journal of Management and Marketing Research, 5(3), 43-55.
Marshall, T. C., Bejanyan, K., Castro, G. D., & Lee, R. A. (2013). Attachment styles as predictors of Facebook-related jealousy and surveillance in romantic relationships. Personal Relationships, 20(1), 1-22.
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173-191.
McCole, P., Ramsey, E., & Williams, J. (2010). Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns. Journal of Business Research, 63(9-10), 1018-1024.
McKinney, V. R., Yoon, K., & Zahedi, F. (2002). The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach. Information Systems Research, 13(3), 296-315.
Milne, G. R., & Boza, M.-E. (1999). Trust and concern in consumers' perceptions of marketing information management practices. Journal of Interactive Marketing, 13(1), 5-24.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
Okazaki, S., Li, H., & Hirose, M. (2009). Consumer pricavy concerns and preference for degree of regulatory control. Journal of Advertising, 38(4), 63-77.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction. Journal of Marketing Research, 17(4), 460-469.
Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20.
Park, N., Lee, S., & Kim, J. H. (2012). Individuals' personal network characteristics and patterns of Facebook use: A social network approach. Computers in Human Behavior, 28(3), 1700-1701.
Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with Institution-Based Trust. Information Systems Research, 15(1), 37-59.
Pegoraro, R. (2010). The latest Facebook fracas: Your privacy vs. its profit. <http://www. washingtonpost.com/wp-dyn/content/article/2010/04/02/AR2010040200762.html>.
Pfeil, U., Arjan, R., & Zaphiris, P. (2009). Age differences in online social networking – A study of user profiles and the social capital divide among teenagers and older users in MySpace. Computers in Human Behavior, 25(3), 643-654.
Qi, M., & Edgar-Nevill, D. (2011). Social networking searching and privacy issues. Information Security Technical Report, 16(2), 74-78.
Qiu, L., Lin, H., Leung, A. K., & Tov, W. (2012). Putting Their Best Foot Forward: Emotional Disclosure on Facebook. Cyberpsychology, Behavior and Social Networking, 15(10), 569-572.
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.
Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009). Personality and motivations associated with Facebook use. Computers in Human Behavior, 25(2), 578-586.
Ryan, R. M., & Deci, E. L. (2000). Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions. Contemporary Educational Psychology, 25(1), 54-67.
Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in Human Behavior, 27(5), 1658-1664.
Shin, D.-H. (2010). The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption. Interacting with Computers, 22(5), 428-438.
Smith, H. J., Milberg, S. J., & Burke, S. J. (1996). Information privacy: measuring individuals' concerns about organizational practices. . MIS Quarterly, 20(2), 167-196.
Special, W. P., & Li-Barber, K. T (2012). Self-disclosure and student satisfaction with Facebook. Computer in Human Behavior, 28, 624-630.
Starbuck, W. H., & Webster, J. (1991). When is play productive? Accounting, Management and Information Technologies, 1(1), 71-90.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management Science, 42(1), 85-92.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Teo, T. S. H., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic government success: An empirical study. Journal of Management Information Systems, 25(3), 99-131.
Thong, J. Y. L., Hong, S.-J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799-810.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Wang, S. S. (2013). "I Share, Therefore I Am": Personality Traits, Life Satisfaction, and Facebook Check-Ins. Cyberpsychology, Behavior and Social Networking, 16(12), 870-877.
Wu, K.-W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889-897.
Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers' adoption of location-based services. Electronic Markets 19(2-3), 137-149.
Zhao, L., & Lu, Y. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems, 53(4), 825-834.
Zhou, T. (2011a). Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636-652.
Zhou, T. (2011b). The impact of privacy concern on user adoption of location-based services. Industrial Management & Data Systems, 111(2), 212-226.