Responsive image
博碩士論文 etd-0809121-181435 詳細資訊
Title page for etd-0809121-181435
論文名稱
Title
寂寞經濟崛起! 探討交友軟體使用者購買加值服務之研究
The Rise of Loneliness Economy ! A Study on the Purchase Intention of Value-Added Services by Dating App Users
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
111
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2021-07-23
繳交日期
Date of Submission
2021-09-09
關鍵字
Keywords
交友軟體、期望確認理論、認知價值、主觀線上成功、購買意願
Dating App, Expectation Confirmation Theory, Perceived Value, Subjective Online Success, Purchase Intention
統計
Statistics
本論文已被瀏覽 401 次,被下載 330
The thesis/dissertation has been browsed 401 times, has been downloaded 330 times.
中文摘要
隨著網際網路的快速發展、智慧型手機的普及化,加上現代人的生活型態忙碌,缺乏時間與人維持社交關係,於是「寂寞經濟」逐漸成形。滿足消費者「寂寞感」、「空虛感」的商業模式應運而生,在這股「寂寞商機」的市場浪潮下,線上交友的市場更是蓬勃發展;其中,交友軟體的出現打破以往時間與地理空間的限制,為現代人開啟新的社交模式。2020 年網路約會市場市值高達20 億美元,逐漸成為手機 APP 經濟中非常重要的領域。交友軟體結合行動定位與即時通訊服務,透過系統的配對與篩選機制連接彼此進行交流,主要的獲利模式是先藉由免費基本功能,進行篩選與配對,若需要進階的功能則必須透過加值付費機制,讓使用者獲得更詳細的交友資料、無限次的配對機會、增加配對成功的機率等進一步的服務。
由於消費者會透過使用前之期望與使用後績效的比較作為判斷是否滿意交友軟體服務的標準,並藉著在消費過程中所認知的價值(功能價值、情感價值、社會價值、價格價值)作為是否採用加值服務或繼續使用交友軟體的重要依據,當中,配對成功與否是使用上的一大特點,更是交友軟體中的重要機制,「主觀線上成功」是指使用者主觀認為自己在交友軟體上成功配對的高低程度,在本研究將導入此變數作為影響購買意願之評估。
因此,本研究透過期望確認理論,並結合認知價值與主觀線上成功等概念,探討影響交友軟體使用者在交友軟體中購買加值服務的重要因素。研究發現,交友軟體之功能價值、價格價值能夠對使用者購買意願產生正向影響,且個人主觀線上成功亦會增強功能價值、價格價值對購買意願之影響效果。最後,本文根據分析結果從消費者觀點提出實務建議,作為交友軟體業者在設計與改善交友軟體時的參考。
Abstract
In addition to the rapid development of the Internet and ubiquity of smart devices, a busy and overworked lifestyle in modern society further weakens the connection between people, leading to the rise of the “loneliness economy”. Subsequently, a business model that satisfies consumers’ sense of “loneliness” and “emptiness” emerges. Amidst a spike in the rate of isolation, the online dating industry continues to expand. Particularly, the emergence of dating apps breaks the boundaries of space and time, opening the door to a new type of social life. As of 2020, the value of online dating market has reached two billion US dollars, which highlights its significance in the app economy. The freemium model enables users to use basic functions for free, while the apps generate revenue through unlocking advanced features. For instance, users are charged for detailed dating profiles, unlimited matching opportunities, and a higher probability of successful matching.
When evaluating the dating apps, consumer satisfaction is determined based on expectations and actual performance. Several types of perceived value (e.g., functional value, emotional value, social value, and value for money) in the consumption process serve as critical factors in influencing one’s intention to opt for a paid subscription or continue using the app. Notably, having a successful match is not just a major feature but an important mechanism for the dating apps. This study introduces “subjective online success”, the degree to which users subjectively believe that they have successfully matched with someone on the app, as a salient factor in influencing one’s intention to purchase.
By connecting the expectation confirmation theory with perceived value and subjective online success, this research explores critical factors that influence consumers’ intentions to use a paid subscription. The findings showed that functional value and value for money have a positive impact on purchase intentions, and subjective online success further enhances their effect on purchase intentions. As such, this research offers practical implications from the perspective of consumers, which can be of value to relevant stakeholders in designing and improving the dating apps.
目次 Table of Contents
論文審定書 i
致謝 ii
摘要 iii
Abstract iv
圖目錄 viii
表目錄 ix
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機與目的 3
第二章 文獻探討 5
第一節 交友軟體 5
第二節 期望確認理論 23
第三節 認知價值 27
第四節 主觀線上成功 34
第三章 研究方法 37
第一節 研究架構 37
第二節 研究假設 38
第三節 問卷調查法 46
第四節 操作性定義與問項 47
第五節 資料分析方法 50
第四章 資料分析與結果 51
第一節 樣本敘述性統計 51
第二節 交友軟體之使用習慣 54
第三節 信效度分析 56
第四節 迴歸分析 62
第五節 差異分析 70
第六節 假設檢定結果 73
第五章 結論與建議 75
第一節 研究結論 75
第二節 研究貢獻 80
第三節 研究限制與未來研究方向 84
參考文獻 86
附錄 97
參考文獻 References
一、中文部分
周儀芳(2018)。大量使用交友App之後續效應探討。國立中正大學資訊管理系研究所碩士論文,嘉義縣。
張珈嫚(2018)。開啟成人模式: 手機交友APP之使用動機、行為與效果研究。國立交通大學傳播研究所碩士論文,新竹市。
戚幼萱(2019)。我如何相信你−對交友App的信任建立過程之影響因素。世新大學社會心理學研究所碩士論文,臺北市。
張玉佩(2011)。線上遊戲之閱聽人愉悅經驗探索。中華傳播學刊,(19),61-96。
二、英文部分
Al-Adwan, A. S., & Sammour, G. (2021). What Makes Consumers Purchase Mobile Apps: Evidence from Jordan. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 562-583.
Alexopoulos, C., Timmermans, E., & McNallie, J. (2020). Swiping more, committing less: Unraveling the links among dating app use, dating app success, and intention to commit infidelity. Computers in Human Behavior, 102, 172-180.
Aloudat, A., Michael, K., Chen, X., & Al-Debei, M. M. (2014). Social acceptance of location-based mobile government services for emergency management. Telematics and Informatics, 31(1), 153-171.
Anderson, C. (2009). Free: The future of a radical price. New York, NY: Random House Business.
Anderson, C. (2013). Free: How today's smartest businesses profit by giving something for nothing. New York, NY: Random House Business.
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.
Anzani, A., Di Sarno, M., & Prunas, A. (2018). Using smartphone apps to find sexual partners: A review of the literature. Sexologies, 27(3), 61-65.
Baumeister, R. F., & Leary, M. R. (1995). The need to belong:desire for interpersonal attachments as a fundamental human motivation. Psychological bulletin, 117(3), 497.
Bem, D. J. (1972). Self-perception theory. In Berkowitz, L. (Ed.). Advances in Experimental Social Psychology (pp. 1-62). New York: Academic Press.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Blackwell, C., Birnholtz, J., & Abbott, C. (2015). Seeing and being seen: Co-situation and impression formation using Grindr, a location-aware gay dating app. New Media & Society, 17(7), 1117-1136.
Bolton, R. N., & Drew, J. H. (1991). A multistage model of customers' assessments of service quality and value. Journal of Consumer Research, 17(4), 375-384.
Bunchball, I. (2010). Gamification 101: An introduction to the use of game dynamics to influence behavior. White Paper, 9, 1-14.
Bryant, K., & Sheldon, P. (2017). Cyber dating in the age of mobile Apps: Understanding motives, attitudes, and characteristics of users. American Communication Journal, 19(2), 1-15.
Castro, Á., & Barrada, J. R. (2020). Dating apps and their sociodemographic and psychosocial correlates: A systematic review. International Journal of Environmental Research and Public Health, 17(18), 6500.
Cate, R. M., Henton, J. M., Koval, J., Christopher, F. S., & Lloyd, S. (1982). Premarital abuse: A social psychological perspective. Journal of Family Issues, 3(1), 79-90.
Chan, L. S. (2017). Who uses dating apps? Exploring the relationships among trust, sensation-seeking, smartphone use, and the intent to use dating apps based on the integrative model. Computers in Human Behavior, 72, 246-258.
Chen, C., Hou, C., Xiao, J., & Yuan, X. (2016). Purchase behavior prediction in e-commerce with factorization machines. IEICE TRANSACTIONS on Information and Systems, 99(1), 270-274.
Chin, K., Edelstein, R. S., & Vernon, P. A. (2019). Attached to dating apps: Attachment orientations and preferences for dating apps. Mobile Media & Communication, 7(1), 41-59.
Ciaușescu, A. (2021). To date or not to date? What are the factors that influence the desire to date on online dating platforms? (Master's thesis, University of Twente).
Coyne, S. M., Padilla-Walker, L. M., & Howard, E. (2013). Emerging in a digital world: A decade review of media use, effects, and gratifications in emerging adulthood. Emerging Adulthood, 1(2), 125-137.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. Advances in Consumer Research, 12(1), 85-90.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.
Gibbs, J. L., Ellison, N. B., & Lai, C. H. (2011). First comes love, then comes Google: An investigation of uncertainty reduction strategies and self-disclosure in online dating. Communication Research, 38(1), 70-100.
Groener, M. (2019). Geolocation-based phone dating apps, digital intimacies, and social matching systems in the online sexual marketplace. Journal of Research in Gender Studies, 9(2), 85-91.
Guadagno, R. E., Okdie, B. M., & Kruse, S. A. (2012). Dating deception: Gender, online dating, and exaggerated self-presentation. Computers in Human Behavior, 28(2), 642-647.
Hamari, J., and Järvinen, A. (2011). Building customer relationship through game mechanics in social games. In Cruz-Cunha, M. M., Varvalho, V. H., and Tavares, P. (Eds.). Business, Technological, and Social Dimensions of Computer Games: Multidisciplinary Developments (pp. 348-365). Hershey, PA: IGI Global.
Han, B. O., & Windsor, J. (2011). User's willingness to pay on social network sites. Journal of Computer Information Systems, 51(4), 31-40.
Hefner, V., & Kahn, J. (2014). An experiment investigating the links among online dating profile attractiveness, ideal endorsement, and romantic media. Computers in Human Behavior, 37, 9-17.
Her, Y. C., & Timmermans, E. (2020). Tinder blue, mental flu? Exploring the associations between Tinder use and well-being. Information, Communication & Society, 24(9), 1-17.
Hobbs, M., Owen, S., & Gerber, L. (2017). Liquid love? Dating apps, sex, relationships and the digital transformation of intimacy. Journal of Sociology, 53(2), 271-284.
Hsu, C. L., & Lin, J. C. C. (2015). What drives purchase intention for paid mobile apps? An expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46-57.
Hsu, C. L., & Lin, J. C. C. (2016). Effect of perceived value and social influences on mobile app stickiness and in-app purchase intention. Technological Forecasting and Social Change, 108, 42-53.
Hsiao, K. L., Lytras, M. D., & Chen, C. C. (2019). An in-app purchase framework for location-based AR games: the case of Pokémon Go. Library Hi Tech. 38(3), 638-653
Huppertz, J. W., Arenson, S. J., & Evans, R. H. (1978). An application of equity theory to buyer-seller exchange situations. Journal of Marketing Research, 15(2), 250-260.
Kang, T., & Hoffman, L. H. (2011). Why would you decide to use an online dating site? Factors that lead to online dating. Communication Research Reports, 28(3), 205-213.
Kim, H. W., Gupta, S., & Koh, J. (2011). Investigating the intention to purchase digital items in social networking communities: A customer value perspective. Information & Management, 48(6), 228-234.
Kim, S. H., Bae, J. H., & Jeon, H. M. (2019). Continuous intention on accommodation apps: integrated value-based adoption and expectation–confirmation model analysis. Sustainability, 11(6), 1578.
Knobloch, L. K. (2008). The content of relational uncertainty within marriage. Journal of Social and Personal Relationships, 25(3), 467-495.
Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887-896.
Laghi, F., Liga, F., Baumgartner, E., & Baiocco, R. (2012). Time perspective and psychosocial positive functioning among Italian adolescents who binge eat and drink. Journal of Adolescence, 35(5), 1277-1284.
Lawson, H. M., & Leck, K. (2006). Dynamics of internet dating. Social Science Computer Review, 24(2), 189-208.
Ledden, L., Kalafatis, S. P., & Samouel, P. (2007). The relationship between personal values and perceived value of education. Journal of Business Research, 60(9), 965-974.
Lee, C. K., Yoon, Y. S., & Lee, S. K. (2007). Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ. Tourism Management, 28(1), 204-214.
LeFebvre, L. E. (2018). Swiping me off my feet: Explicating relationship initiation on Tinder. Journal of Social and Personal Relationships, 35(9), 1205-1229.
Ligtenberg, L. (2015). Tinder, the app that is setting the dating scene on fire: A uses and gratification perspective. Amsterdam, Netherlands: University of Amsterdam.
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.
Lin, Y. L., Lin, H. W., & Jiang, Y. W. (2015). The Structure and Cluster of Value in Social Network Games. Marketing Review, 12(3), 263.
Liu, C. Z., Au, Y. A., & Choi, H. S. (2014). Effects of freemium strategy in the mobile app market: An empirical study of google play. Journal of Management Information Systems, 31(3), 326-354.
Lo, S. K., Hsieh, A. Y., & Chiu, Y. P. (2013). Contradictory deceptive behavior in online dating. Computers in Human Behavior, 29(4), 1755-1762.
Lutz, C., & Ranzini, G. (2017). Where dating meets data: Investigating social and institutional privacy concerns on Tinder. Social Media Society, 3(1), 1-12.
Lu, H. Y., Wu, W. Y., & Chen, S. H. (2016). Influences on the perceived value of medical travel: the moderating roles of risk attitude, self-esteem and word-of-mouth. Current Issues in Tourism, 19(5), 477-491.
Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., & Beaton, M. (2013). Teens, social media, and privacy. Pew Research Center, 21(1055), 2-86.
Oestreicher-Singer, G., & Zalmanson, L. (2013). Content or community? A digital business strategy for content providers in the social age. MIS Quarterly, 37(2), 591-616.
Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. Journal of Consumer Research, 14(4), 495-507.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
Orosz, G., Benyó, M., Berkes, B., Nikoletti, E., Gál, É., Tóth-Király, I., & Bőthe, B. (2018). The personality, motivational, and need-based background of problematic Tinder use. Journal of Behavioral Addictions, 7(2), 301-316.
Parasuraman, A. (1997). Reflections on gaining competitive advantage through customer value. Journal of the Academy of Marketing Science, 25(2), 154.
Paxton, S. J., Norris, M., Wertheim, E. H., Durkin, S. J., & Anderson, J. (2005). Body dissatisfaction, dating, and importance of thinness to attractiveness in adolescent girls. Sex Roles, 53(9), 663-675.
Petrick, J. F. (2002). Development of a multi-dimensional scale for measuring the perceived value of a service. Journal of Leisure Research, 34(2), 119-134.
Pura, M. (2005). Linking perceived value and loyalty in location‐based mobile services. Managing Service Quality: An International Journal, 15(6), 509-538.
Rao, B., & Minakakis, L. (2003). Evolution of mobile location-based services. Communications of the ACM, 46(12), 61-65.
Robinson, H. (2018). Tinder: The marketplace for love. Critical Reflections: A Student Journal on Contemporary Sociological Issues, 6(6), 23-27.
Rosen, L. D., Cheever, N. A., Cummings, C., & Felt, J. (2008). The impact of emotionality and self-disclosure on online dating versus traditional dating. Computers in Human Behavior, 24(5), 2124-2157.
Ryan, T., Chester, A., Reece, J., & Xenos, S. (2014). The uses and abuses of Facebook: A review of Facebook addiction. Journal of Behavioral Addictions, 3(3), 133-148.
Serenko, A., Turel, O., & Bontis, N. (2007). User acceptance of hedonic information technologies: a perceived value perspective. AMCIS 2007 Proceedings, 475.
Sevi, B., Aral, T., & Eskenazi, T. (2018). Exploring the hook-up app: Low sexual disgust and high sociosexuality predict motivation to use Tinder for casual sex. Personality and Individual Differences, 133, 17-20.
Shapiro, G. K., Tatar, O., Sutton, A., Fisher, W., Naz, A., Perez, S., & Rosberger, Z. (2017). Correlates of Tinder use and risky sexual behaviors in young adults. Cyberpsychology, Behavior, and Social Networking, 20(12), 727-734.
Sharabi, L. L., & Timmermans, E. (2020). Why settle when there are plenty of fish in the sea? Rusbult’s investment model applied to online dating. New Media & Society, 22(7), 1-21.
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.
Strubel, J., & Petrie, T. A. (2017). Love me Tinder: Body image and psychosocial functioning among men and women. Body Image, 21, 34-38.
Sumter, S. R., Vandenbosch, L., & Ligtenberg, L. (2017). Love me Tinder: Untangling emerging adults’ motivations for using the dating application Tinder. Telematics and Informatics, 34(1), 67-78.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
Tang, D. T. S. (2017). All I get is an emoji: Dating on lesbian mobile phone app Butterfly. Media, Culture & Society, 39(6), 816-832.
Timmermans, E., & Courtois, C. (2018). From swiping to casual sex and/or committed relationships: Exploring the experiences of Tinder users. The Information Society, 34(2), 59-70.
Timmermans, E., & De Caluwé, E. (2017). To Tinder or not to Tinder, that's the question: An individual differences perspective to Tinder use and motives. Personality and Individual Differences, 110, 74-79.
Timmermans, E., De Caluwe, E., & Alexopoulos, C. (2018). Why are you cheating on tinder? Exploring users' motives and (dark) personality traits. Computers in Human Behavior, 89, 129-139.
Van De Wiele, C., & Tong, S. T. (2014). Breaking boundaries: The uses & gratifications of Grindr. In Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing, 619-630.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Walsh, G., Shiu, E., & Hassan, L. M. (2014). Replicating, validating, and reducing the length of the consumer perceived value scale. Journal of Business Research, 67(3), 260-267.
Ward, J. (2017). What are you doing on Tinder? Impression management on a matchmaking mobile app. Information, Communication & Society, 20(11), 1644-1659.
Westbrook, R. A., & Reilly, M. D. (1983). Value-percept disparity: an alternative to the disconfirmation of expectations theory of consumer satisfaction. ACR North American Advances, 10, 256-261.
Droge, C. (1998). Know your customer: New approaches to understanding customer value and satisfaction. Journal of the Academy of Marketing Science, 26(4), 351.
Wright, J. L., Lovelock, D. M., Bilsky, M. H., Toner, S., Zatcky, J., & Yamada, Y. (2006). Clinical outcomes after reirradiation of paraspinal tumors. American Journal of Clinical Oncology, 29(5), 495-502.
Wu, S., & Ward, J. (2018). The mediation of gay men's lives: A review on gay dating app studies. Sociology Compass, 12(2), 1-10.
Xavier, S. (2016). Migrant text: Making and marketing a global French literature, Montreal: McGill-Queen's University Press.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.

三、網路部分
App Annie(2020). The State of Mobile in 2020: How to Win on Mobile.
Retrieved from: https://www.appannie.com/en/insights/market-data/state-of-mobile-2020/
Aubrey, S. (2020). Tinder changed dating. Now, the second wave is coming. The Sunday Morning Herald.
Retrieved from: https://www.smh.com.au/lifestyle/life-and-relationships/tinder-changed-dating-now-the-second-wave-is-coming-20200525-p54w6v.html
MacFarlane. (2015). What the app? In-app purchases explained.
Retrieved from: http://loudcrow.com/what-the-app-in-app-purchases-explained
Seefeldt B. (2014). Tinder initiation messages. Chicago, IL: Department of Computer Science, University of Illinois.
Retrieved from: http://m.benseefeldt.com/content/sites/Tinder/tinder_paper.pdf
中國數據調查機構艾瑞諮詢(2016)。中國網紅生態研究報告。
取自https://www.iimedia.cn/c400/50323.html
數位時代(2020)。訂閱數破千萬,交友App龍頭能發財嗎?
取自:https://www.bnext.com.tw/article/59105/tinder-money-money
數位時代(2020)。一個Tinder用戶個資800頁!寂寞經濟大爆發,約會軟體數據價值竟比Facebook、IG更有價值?
取自:https://www.bnext.com.tw/article/55975/the-data-from-dating-site
經理人(2020)。疫情翻轉你我的「人際關係」!兩份最新調查,告訴你這世界什麼改變了?取自:https://www.managertoday.com.tw/articles/view/60234
資策會(2020)。2020年Z世代大調查—聯網工具與網路使用行為。
取自:https://mic.iii.org.tw/AISP/ReportS.aspx?id=PPT1090813-1
財經新報(2020)。交友軟體商機大,Bumble申請 IPO!Match去年噴113%。
取自:https://finance.technews.tw/2021/01/18/bumble-applies-for-ipo/
東方快線網絡市調(2017)。尋找你的真命天菜! 交友軟體使用族群大揭密。
取自:https://www.eolembrain.com.tw/Latest_View.aspx?SelectID=457
奇奇筆記KiKiNote.net(2020)。2020年度15款網友最推的交友軟體!
取自:https://kikinote.net/158615
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code