中文文獻
1.林宗昱(2015)，以科技接受模式探討Line生活圈的使用者行為研究。臺北科技大學工業工程與管理系碩士論文。2.陳瑋元(2016)，網路平台之創新商業模式-以EZTABLE為例。國立臺灣大學管理學院資訊管理研究所碩士論文。
3.吳敏楷(2017)，粉絲購買Line貼圖意願之研究-以網路插畫家粉絲專頁為例。國立台灣師範大學圖文傳播學系碩士論文。4.翁中為(2017)，美容沙龍服務產業事業策略分析。國立宜蘭大學高階經營管理碩士在職專班碩士論文。5.楊安琪(2018)，社群平台中線上促銷方式對線下導客成效影響之因素-以Line@生活圈為例。淡江大學企業管理學系碩士在職專班碩士論文。6.司徒達賢(民83)，策略矩陣分析法基礎。管理名論，13(2)，1-22。
7.郭國泰、司徒達賢、于卓民(民99)，商業生態系統中利基者策略之變遷：以資訊安全軟體公司為例(1986-2000)。輔仁管理評論，17(2)，1-38。
8.黃兆偉、黃國峰、游耿能(2016)，媽祖文化於Facebook粉絲專頁媒體呈現形式之探討。臺灣網際網路研討會，877-882。
9.許士軍(1993)。管理學。臺北市：東華書局。
10.潘淑滿(2003)。質性研究。理論與應用。臺北市：心理出版社。
11.管仲(2016)。管理學基礎篇。臺北市：高點文化事業有限公司。
12.《網路社群調查》逾80%網友在個人化社群尋找購物資訊。(2015年11月11日) 檢自：https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=412
13.【網購消費者調查】2016年網購消費平均27,715元。(2017年3月15日) 檢自：https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=464
14.【網購大調查系列二】行動網購普及率達64.9％。(2018年3月15日) 檢自：https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=489
15.Line國內月活躍用戶數成長至1900萬，各項服務數據大揭祕! (2018年3月9日) 檢自：https://www.ithome.com.tw/news/121717
16.潮水退了？專家預測2019年社群網路將回歸個人化。(2018年12月19日) 檢自：https://www.nownews.com/news/20181219/3128652/
英文文獻
1.Bar-Tal, D. (1982). Sequential development of helping behavior: A Cognitive learning approach. Developmental Review, 2,101-124.
2.Ba, S., 2001. Establishing online trust through a community responsibility system. Decision Support Systems 31 (4), 323–336.
3.Barnes, N. G., Lescault, A. M., & Wright, S. (2013). Fortune 500 are bullish on social media: Big companies get excited about Google+, Instagram, Foursquare and Pinterest. University of Massachusetts Dartmouth Center for Marketing Research, 9, 1-9.
4.Bogdan, R. C., & Biklen, S. K. (1984). Qualitative Research in Education: An Introduction to Theory and Methods. Boston, pp.45-48, MA: Allyn and Bacon.
5.de Vries, L. Gensler, S. and Leeflang, P. S.H. (2012). Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. Journal of Interactive Marketing, 26, 83-91.
6.Detlor, B., Hupfer, M. E., Ruhi, U., & Zhao, L. (2012). Information quality and community municipal portal use. Government Information Quarterly, 30(1), 23-32.
7.Fulker, D., & Bates, S., & Jacobs, C. (1997). Unidata: A virtual community sharing resources via technological infrastructure. Bulletin of the American Society for Information Science, 78(3), 457-468.
8.Garton, L., Haythornthwaite, C., & Wellman, B. (2006). Studying online social networks. Journal of Computer-Mediated Communication, 3(1), 0–0.
9.Hubspot. (2011). The 2011 state of inbound marketing., Vol. 2016.
10.Jones, O.J. (1997), "Responding to the challenge: a professional services perspective", Facilities, Vol. 15 Nos 3/4, pp. 92-6.
11.Li, C., & Bernoff, J. (2011). Groundswell: Winning in a world transformed by social technologies: Harvard Business Press.
12.Mackenzie, S. and Spreng, R. (1992). How Does Motivation Moderate theImpact of Central and Peripheral Processing on Brand Attitudes andIntentions. Journal of Consumer Research, 18, 519-529.
13.Matthew, C. H. Y., & Christine, T. E. (2000). From customer satisfaction toprofitability. Journal of Strategic Marketing, 8, 313-326.
14.McKinney, V., & Yoon, K. (2002). The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Information systems research, 13(3), 296–315.
15.Molla, A., & Licker, P. S. (2001). E-Commerce systems success: An attempt to extend and respecify the Delone and Maclean model of IS success. Journal of Electronic Commerce Success, 2(4), 131–141.
16.Nassar, M. A. (2012). An investigation of hoteliers’ attitudes toward the use of social media as a branding tool. International Journal of Marketing Studies, 4(4), 93-105.
17.Peters, K., Chen, Y., Kaplan, A. M., Ognibeni, B. and Pauwels, K. (2013), "Social Media Metrics — A Framework and Guidelines for Managing Social Media", Journal of Interactive Marketing 27 (2013), pp. 281-298.
18.Park, E. J., Kim E. Y., Funches, V. M., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65(11), 1583-1589.
19.Rioux, K. S. (2005). Information acquiring-and- sharing theory. In K. E. Fisher, S. Erdelez, & L. Mckechnie (Eds.), Theories of information behavior (pp. 169-172), Asist, NJ: Information Today Press.
20.Rice, R. E., & Williams, F. (1984). Theories old and new: The study of new media. The new media: Communication, research, and technology, 55–80.
21.Sharma, N. and Patterson, P.G. (1999), "The impact of communication effectiveness and service quality on relationship commitment in consumer, professional services", The Journal of Services Marketing, Vol. 13 No. 2, pp. 151-70.
22.Thakor, M.V. and Kumar, A. (2000), "What is a professional service? A conceptual review and bi-national investigation", Journal of Services Marketing, Vol. 14 No. 1, pp. 63-82.
23.Saffer, A. J., Sommerfeldt, E. J., & Taylor, M. (2013). The effects of organizational Twitter interactivity on organization–public relationships. Public Relations Review, 39(3), 213-215.
24.SeongSeop, K., KuoChing, W., & TaeHong, A. (2013). Which endorser and content are most influential in Korean restaurant promotions? International Journal of Hospitality Management, 33, 208–218.
25.Sun, J., & Hsu, Y. (2013). Effect of interactivity on learner perceptions in Web-based instruction. Computers in Human Behavior, 29(1), 171-184. Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of marketing research, 258–270.
26.Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of marketing research, 258–270.
27.Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2006). Services marketing: Integrating customer focus across the firm McGraw-Hill New York.
28.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.