網路科技的發達與社群媒體的廣泛應用，讓使用者產生內容 (User-Generated Content) 的數量不斷增加，特別是在餐旅產業，由於體驗性商品的特性，消費者傾向先觀看網路評論再進行消費決策，因此網路評論對餐廳、旅館及旅遊業產生了重大影響。餐廳網路評論平台可以提供餐廳經營者對顧客的偏好、需求和反應的洞察，對消費者來說，越多評論者發表意見，代表越多的資訊可做參考，讓消費者感受到網路評論為更有品質、可靠的資訊，而產品和服務的成功取決於持續使用，現在的網路評論平台很多，如何使網路使用者相信該平台的評論內容，並持續使用它，同時更進一步分享此資訊，為網路評論平台與餐廳業者想了解的因素。本研究應用推敲可能性模式、使用與滿足理論建立研究架構，探討餐廳網路評論平台的持續使用意圖及餐廳資訊分享意圖之影響因素，蒐集Google地圖餐廳網路評論之次級資料，聯結網路評論發表者之問卷調查結果，同時探討不同涉入程度之餐廳網路評論平台使用者之差異，以偏最小平方法 (Partial Least Square, PLS) 檢驗關係之顯著性。研究結果發現餐廳網路評論平台持續使用意圖、資訊分享意圖之影響因素為使用者的資訊尋求與娛樂動機；使用者涉入會負向調節關係維護動機對餐廳資訊分享意圖的關係，並提供餐廳經營者及網路評論平台經營者相關之建議。

Online reviews have considerably impacted the hospitality industry, because of the intangible characteristics of experience, products and services. Consumers rely heavily on other customers’ reviews to evaluate service quality prior to consumption. Online restaurant review platforms help customers gather information regarding restaurant experiences from the prior experiences of other customers. This study aims to know the factors that can enable the Internet users to keep using online restaurant review platforms, and share the information further. This is underpinned by the elaboration likelihood model (ELM) and the uses and gratifications theory (UGT). This study utilize the partial least square analysis (PLS) investigates the interrelationships of online restaurant review central cues, peripheral cues. Further, usage motives of online restaurant review platforms, continuance usage and information sharing intentions. The results indicated that information seeking motive and entertainment motive have significantly positive impact on continuance usage and restaurant information sharing intentions; user's involvement is a moderator of the relationship between relationship maintenance motive and restaurant information sharing intention. These findings provide suggestions on the design and management of online restaurant review platforms.

行政院財政部統計處 (2017)。財政及貿易統計。取自：https://www.mof.gov.tw/List/Index?nodeid=18
股感知識庫 (2016)。餐飲業的成長及其幕後推手─外食文化。取自：https://goo.gl/LmHBym
許皓鈞 (2017)。應用期望確認理論探討消費者持續使用共享經濟平台之意圖—以Uber為例 (未出版碩士論文)。國立中央大學，桃園市。
陳世智、吳智鴻、吳彥濬、陳靚 (2014)。探討影響 Facebook 粉絲專頁持續使用意圖因素：社會資本觀點。中山管理評論，22(2)，205-238。
陳建文、吳紹榮、余姵歆、袁綾 (2015)。Facebook 粉絲專頁對網路持續使用行為意圖之影響：以使用與滿足理論與社會影響觀點。朝陽商管評論，14(S)，19-38。
鄭如珍 (2015)。探討台灣Facebook使用者持續使用意圖—以延伸計畫行為理論為基礎。萬能商學學報，(20)，75-86。
謝竹君 (2017)。萬事達卡消費者購買傾向調查－餐飲。取自：http://www.digitalwall.com/scripts/displaypr.asp?UID=67495
Abelein, U., & Paech, B. (2015). Understanding the influence of user participation and involvement on system success–A systematic mapping study. Empirical Software Engineering, 20(1), 28-81.
Ajzen, I., & Driver, B. L. (1991). Prediction of leisure participation from behavioral, normative, and control beliefs: An application of the theory of planned behavior. Leisure Sciences, 13(3), 185-204.
Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514-538.
Amoako-Gyampah, K. (2007). Perceived usefulness, user involvement and behavioral intention: An empirical study of ERP implementation. Computers in Human Behavior, 23(3), 1232-1248.
Ayeh, J. K. (2015). Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173-180.
Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of online consumer reviews: Readers’ objectives and review cues. International Journal of Electronic Commerce, 17(2), 99-126.
Bano, M., & Zowghi, D. (2015). A systematic review on the relationship between user involvement and system success. Information and Software Technology, 58, 148-169.
Barki, H., & Hartwick, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13 (1), 53-63.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351-370.
Chang, H. H., & Chuang, S. S. (2011). Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator. Information & Management, 48(1), 9-18.
Chua, A. Y., Goh, D. H. L., & Lee, C. S. (2012). Mobile content contribution and retrieval: An exploratory study using the uses and gratifications paradigm. Information Processing & Management, 48(1), 13-22.
Dağhan, G., & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Computers in Human Behavior, 60, 198-211.
Delbecq, A. L., Van de Ven, A. H., & Gustafson, D. H. (1975). Group techniques for program planning: A guide to nominal group and Delphi processes. Glenview, IL: Scott, Foresman.
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.
Fang, C. Y. (2018, July). Do text or photo matter for the marketing performance of social media message?. In 2018 Global Marketing Conference at Tokyo (pp. 676-676).
Gao, Q., & Feng, C. (2016). Branding with social media: User gratifications, usage patterns, and brand message content strategies. Computers in Human Behavior, 63, 868-890.
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498-1512.
Gu, J., Xu, Y. C., Xu, H., Zhang, C., & Ling, H. (2017). Privacy concerns for mobile app download: An elaboration likelihood model perspective. Decision Support Systems, 94, 19-28.
Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage Publications.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433.
Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Hicks, A., Comp, S., Horovitz, J., Hovarter, M., Miki, M., & Bevan, J. L. (2012). Why people use Yelp. com: An exploration of uses and gratifications. Computers in Human Behavior, 28(6), 2274-2279.
Hlee, S., Lee, J., Yang, S. B., & Koo, C. (2016). An empirical examination of online restaurant reviews (Yelp. com): Moderating roles of restaurant type and self-image disclosure. Information and Communication Technologies in Tourism 2016, 39-353.
Ho, S. Y., & Bodoff, D. (2014). The effects of web personalization on user attitude and behavior: An integration of the elaboration likelihood model and consumer search theory. MIS Quarterly, 38(2), 497-520.
Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355.
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204.
Hur, K., Kim, T. T., Karatepe, O. M., & Lee, G. (2017). An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers. Tourism Management, 63, 170-178.
Ifinedo, P. (2016). Applying uses and gratifications theory and social influence processes to understand students' pervasive adoption of social networking sites: Perspectives from the Americas. International Journal of Information Management, 36(2), 192-206.
Jeong, E., & Jang, S. S. (2011). Restaurant experiences triggering positive electronic word-of mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356-366.
Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The Public Opinion Quarterly, 37(4), 509-523.
Kim, W. G., Li, J. J., & Brymer, R. A. (2016). The impact of social media reviews on restaurant performance: The moderating role of excellence certificate. International Journal of Hospitality Management, 55, 41-51.
Ko, H., Cho, C. H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation model of interactive advertising. Journal of Advertising, 34(2), 57-70.
Ku, Y. C., Chu, T. H., & Tseng, C. H. (2013). Gratifications for using CMC technologies: A comparison among SNS, IM, and e-mail. Computers in Human Behavior, 29(1), 226-234.
Lee, C. S., & Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior, 28(2), 331-339.
Lee, C. S., Goh, D. H. L., Chua, A. Y., & Ang, R. P. (2010). Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay. Journal of the Association for Information Science and Technology, 61(6), 1244-1257.
Lee, M., & Youn, S. (2009). How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473-499.
Lee, M., Jeong, M., & Lee, J. (2017). Roles of negative emotions in customers’ perceived helpfulness of hotel reviews on a user-generated review website: A text mining approach. International Journal of Contemporary Hospitality Management, 29(2), 762-783.
Lee, S. W., & Lee, J. (2017). A comparative study of KakaoStory and Facebook: Focusing on use patterns and use motives. Telematics and informatics, 34(1), 220-229.
Lee, S., & Kim, B. G. (2017). The impact of qualities of social network service on the continuance usage intention. Management Decision, 55(4), 701-729.
Li, C. Y. (2013). Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Computers in Human Behavior, 29(1), 264-275.
Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140-151.
Lo, Y. C., & Fang, C. Y. (2018). Facebook marketing campaign benchmarking for a franchised hotel. International Journal of Contemporary Hospitality Management, 30(3), 1705-1723.
Low, G., Goh, D. H. L., & Lee, C. S. (2010, June). A multifaceted approach to exploring mobile annotations. In International Conference on Asian Digital Libraries (pp. 71-80). Berlin, Heidelberg: Springer.
Luca, M. (2016). Reviews, reputation, and revenue: The case of Yelp. com. Harvard Business School NOM Unit Working Paper No. 12-016.
Luo, M. M., Chea, S., & Chen, J. (2011). Web-based information service adoption: A comparison of the motivational model and the use and gratifications theory. Decision Support Systems, 51(1), 21-30.
Luo, X. (2002). Uses and gratifications theory and e-consumer behaviors: A structural equation modeling study. Journal of Interactive Advertising, 2(2), 34-41.
Miguéns, J., Baggio, R., & Costa, C. (2008). Social media and tourism destinations: TripAdvisor case study. Advances in Tourism Research, 26(28), 1-6.
Ngai, E. W., Tao, S. S., & Moon, K. K. (2015). Social media research: Theories, constructs, and conceptual frameworks. International Journal of Information Management, 35(1), 33-44.
Nov, O., Naaman, M., & Ye, C. (2010). Analysis of participation in an online photo‐sharing community: A multidimensional perspective. Journal of the Association for Information Science and Technology, 61(3), 555-566.
Nusair, K. K., Bilgihan, A., Okumus, F., & Cobanoglu, C. (2013). Generation Y travelers' commitment to online social network websites. Tourism Management, 35, 13-22.
O’Connor, P. (2008). User-generated content and travel: A case study on Tripadvisor. com. Information and Communication Technologies in Tourism 2008, 47-58.
Pai, P., & Arnott, D. C. (2013). User adoption of social networking sites: Eliciting uses and gratifications through a means–end approach. Computers in Human Behavior, 29(3), 1039-1053.
Pantelidis, I. S. (2010). Electronic meal experience: A content analysis of online restaurant comments. Cornell Hospitality Quarterly, 51(4), 483-491.
Papacharissi, Z., & Rubin, A. M. (2000). Predictors of internet use. Journal of Broadcasting & Electronic Media, 44, 175-196.
Parikh, A., Behnke, C., Vorvoreanu, M., Almanza, B., & Nelson, D. (2014). Motives for reading and articulating user-generated restaurant reviews on Yelp. com. Journal of Hospitality and Tourism Technology, 5(2), 160-176.
Park, D. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399-410.
Park, S., & Nicolau, J. L. (2015). Asymmetric effects of online consumer reviews. Annals of Tourism Research, 50, 67-83.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 123-205.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
Qazi, A., Tamjidyamcholo, A., Raj, R. G., Hardaker, G., & Standing, C. (2017). Assessing consumers' satisfaction and expectations through online opinions: Expectation and disconfirmation approach. Computers in Human Behavior, 75, 450-460.
Racherla, P., & Friske, W. (2012). Perceived ‘usefulness’ of online consumer reviews: An exploratory investigation across three services categories. Electronic Commerce Research and Applications, 11(6), 548-559.
Rasty, F., Chou, C. J., & Feiz, D. (2013). The impact of internet travel advertising design, tourists' attitude, and internet travel advertising effect on tourists' purchase intention: The moderating role of involvement. Journal of Travel & Tourism Marketing, 30(5), 482-496.
Resnick, P., Kuwabara, K., Zeckhauser, R., & Friedman, E. (2000). Reputation systems. Communications of the ACM, 43(12), 45-48.
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.
Rouibah, K., Hamdy, H. I., & Al-Enezi, M. Z. (2009). Effect of management support, training, and user involvement on system usage and satisfaction in Kuwait. Industrial Management & Data Systems, 109(3), 338-356.
Ruggiero, T. E. (2000). Uses and gratifications theory in the 21st century. Mass Communication & Society, 3(1), 3-37.
Schuckert, M., Liu, X., & Law, R. (2015). Hospitality and tourism online reviews: Recent trends and future directions. Journal of Travel & Tourism Marketing, 32(5), 608-621.
SimilarWeb (2018)。Top sites ranking for all categories in Taiwan。Retrieved from https://www.similarweb.com/top-websites/taiwan
Simonsohn, U. (2011). Lessons from an “oops” at consumer reports: Consumers follow experts and ignore invalid information. Journal of Marketing Research, 48(1), 1-12.
Tamjidyamcholo, A., Baba, M. S. B., Tamjid, H., & Gholipour, R. (2013). Information security–professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language. Computers & Education, 68, 223-232.
Tosun, L. P. (2012). Motives for Facebook use and expressing “true self” on the internet. Computers in Human Behavior, 28(4), 1510-1517.
Venkatesh, V., & Agarwal, R. (2006). Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Science, 52(3), 367-382.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Walker, S. C., & Pearson, J. (2014). Intent to use technology: Facilitation effect of group presence. International Journal of Business Research and Development, 3(3), 1-15.
Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research, 16(4), 362-369.
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017). A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism. Tourism Management, 58, 51-65.
Xu, P., Chen, L., & Santhanam, R. (2015). Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type. Decision Support Systems, 73, 85-96.
Yang, S. B., Hlee, S., Lee, J., & Koo, C. (2017). An empirical examination of online restaurant reviews on Yelp. com: A dual coding theory perspective. International Journal of Contemporary Hospitality Management, 29(2), 817-839.
Yoo, K. H., Lee, Y., Gretzel, U., & Fesenmaier, D. R. (2009). Trust in travel-related consumer generated media. Information and Communication Technologies in Tourism 2009, 49-59.
Zhang, C., Hahn, J., & De, P. (2013). Research note—continued participation in online innovation communities: does community response matter equally for everyone?. Information Systems Research, 24(4), 1112-1130.
Zhang, Z., Ye, Q., Law, R., & Li, Y. (2010). The impact of e-word-of-mouth on the online popularity of restaurants: A comparison of consumer reviews and editor reviews. International Journal of Hospitality Management, 29(4), 694-700.
Zhou, T., Lu, Y., & Wang, B. (2016). Examining online consumers’ initial trust building from an elaboration likelihood model perspective. Information Systems Frontiers, 18(2), 265-275.