博碩士論文 110423047 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:8 、訪客IP:18.218.38.81
姓名 陳冠廷(Kuan-Ting Chen)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 線上論壇賦能對使用者持續參與意圖的影響:以期望價值理論為理論視角
(Impact of Online Community Affordance on Users’ Continued Participation Intention: A Theoretical Perspective from Expectancy-Value Theory)
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 (2029-7-1以後開放)
摘要(中) 線上論壇作為知識共享與意見交流的平台,吸引了大量使用者的參與。然而,由於使用者流失的問題,論壇的活躍度逐漸下降,使得管理者需要了解如何確保使用者的持續參與。本研究旨在探討線上論壇賦能對於使用者持續參與的影響,並創新地提出了四個面向的論壇賦能:關鍵字比對賦能、圖片查詢賦能、文章標籤推薦賦能和個人知識管理賦能。本研究基於期望價值理論,透過運用該理論的三個核心因素:對成功的期望、主觀任務價值和成就表現,解釋了賦能如何影響使用者的行為和成就表現。本研究使用雙波段問卷設計,最終收集到 659 份有效問卷,並以結構方程模型進行分析與假說檢驗。研究發現,關鍵字比對賦能可以提升知識檢索有效性,而個人知識管理賦能則可以促進知識貢獻輔助性。此外,論壇管理者可以透過提升使用者感知的知識檢索有效性來增強其持續參與意圖,顯示出本研究在實務上的重要性。
摘要(英) Online communities, as platforms for knowledge sharing and opinion exchange, have attracted a large number of users. However, due to the problem of user churn, the activity level of communities gradually declines, making it necessary for managers to understand how to ensure users’ continued participation intention. This study aims to explore the impact of online community affordances on users’ continued participation intention and innovatively proposes four dimensions of community affordance: keyword matching affordance, search by image affordance, hashtag recommendation affordance, and personal knowledge management affordance. Based on the expectancy-value theory, this study explains how affordances affect users’ behavior and achievement behavior by applying the three core factors of the theory: expectancy for success, subjective task value, and achievement behavior. This study uses a two-wave questionnaire design and finally collects 659 valid questionnaires, which are analyzed and hypothesis tested with structural equation modeling. The study finds that relatedness distinguish affordance can enhance knowledge searching effectivity, and personal knowledge management affordance can promote knowledge posting assistance. In addition, community managers can enhance users’ continued participation intention by improving their perceived knowledge searching effectivity, demonstrating the practical importance of this study.
關鍵字(中) ★ 論壇賦能
★ 持續參與
★ 期望價值理論
★ 需求-賦能-功能
★ 線上論壇
關鍵字(英) ★ community affordance
★ continued participation
★ expectancy-value theory
★ needs-affordances-features
★ online community
論文目次 摘要 v
Abstract vi
目錄 vii
圖目錄 ix
表目錄x
一、 前言 1
1-1 研究背景 1
1-2 研究動機 2
1-3 研究目的 3
二、 文獻回顧 4
2-1 線上論壇與持續參與 4
2-2 期望價值理論 7
2-3 論壇賦能 10
三、 研究模型與假說推演 13
3-1 研究模型 13
3-2 假說推論 14
四、 研究方法 19
4-1 資料收集 19
4-2 測量 21
4-2-1 研究構念之測量 21
4-2-2 控制變數22
4-3 減少共同方法變異的研究設計 22
4-4 心理計量特性 22
4-5 檢驗共同方法變異 24
五、 研究結果 26
5-1 人口統計與樣本分布 26
5-2 假說檢定 28
六、 討論 33
6-1 理論意涵 34
6-2 實務意涵 36
6-3 研究限制與未來研究方向 38
七、 結論 40
參考文獻 41
附錄 59
參考文獻 Abedin, B., Milne, D., & Erfani, E. (2020). Attraction, selection, and attrition in online health communities: Initial conversations and their association with subsequent activity levels. International Journal of Medical Informatics, 141, 104216.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
AkkuŞ, A. (2020). Developing a scale to measure students’ attitudes toward science. International Journal of Assessment Tools in Education, 6(4), 706-720.
Amity.co. (2024). 40 statistics you should know about online communities in 2024. Retrieved from: https://bit.ly/434l3t2zy5. Accessed on April, 18, 2024.
Atkinson, J. W. (1957). Motivational determinants of risk-taking behavior. Psychological Review, 64(6, Pt.1), 359-372.
Bagozzi, R. P. (2010). Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(2), 208-214.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Beard, C. L., & Wickham, R. E. (2016). Gaming-contingent self-worth, gaming motivation, and internet gaming disorder. Computers in Human Behavior, 61, 507-515.
Chang, J.-S., & Wang, G.-H. (2021). Formulating the dynamics of an online community and identifying the influential members using the animal flocking model. Electronic Commerce Research and Applications, 49, 101085.
Charband, Y., & Jafari Navimipour, N. (2016). Online knowledge sharing mechanisms: A systematic review of the state of the art literature and recommendations for future research. Information Systems Frontiers, 18(6), 1131-1151.
Chen, L., Baird, A., & Straub, D. (2019). Why do participants continue to contribute? Evaluation of usefulness voting and commenting motivational affordances within an online knowledge community. Decision Support Systems, 118, 21-32.
Chen, L., Baird, A., & Straub, D. (2022). The impact of hierarchical privilege levels and non-hierarchical incentives on continued contribution in online Q&A communities: A motivational model of gamification goals. Decision Support Systems, 153, 113667.
Chen, Y.-H., Lin, T.-P., & Yen, D. C. (2014). How to facilitate inter-organizational knowledge sharing: The impact of trust. Information & Management, 51(5), 568-578.
Chou, E.-Y., Lin, C.-Y., & Huang, H.-C. (2016). Fairness and devotion go far: Integrating online justice and value co-creation in virtual communities. International Journal of Information Management, 36(1), 60-72.
Chung, J. E., Park, N., Wang, H., Fulk, J., & McLaughlin, M. (2010). Age differences in perceptions of online community participation among non-users: An extension of the technology acceptance model. Computers in Human Behavior, 26(6), 1674-1684.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159.
Datareportal. (2024). Internet use in 2024. Retrieved from: https://bit.ly/x04xl3gfm4n3. Accessed on April, 18, 2024.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior: Springer US.
Dong, L., Hou, J., Huang, L., Liu, Y., & Zhang, J. (2024). Impacts of normative and hedonic motivations on continuous knowledge contribution in virtual community: The moderating effect of past contribution experience. Information Technology & People, 37(1), 502-520.
Eccles, J. (2009). Who am i and what am i going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78-89.
Erz, A., Marder, B., & Osadchaya, E. (2018). Hashtags: Motivational drivers, their use, and differences between influencers and followers. Computers in Human Behavior, 89, 48-60.
Fadel, K. J., Meservy, T. O., & Jensen, M. L. (2015). Exploring knowledge filtering processes in electronic networks of practice. Journal of Management Information Systems, 31(4), 158-181.
Fang, C., & Zhang, J. (2019). Users’ continued participation behavior in social Q&A communities: A motivation perspective. Computers in Human Behavior, 92, 87-109.
Faraj, S., von Krogh, G., Monteiro, E., & Lakhani, K. R. (2016). Special section introduction—online community as space for knowledge flows. Information Systems Research, 27(4), 668-684.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gong, X., Chen, C., & Lee, M. K. O. (2020). What drives problematic online gaming? The role of it identity, maladaptive cognitions, and maladaptive emotions. Computers in Human Behavior, 110, 106386.
Gong, X., Cheung, C. M. K., Zhang, K. Z. K., Chen, C., & Lee, M. K. O. (2020). Cross-side network effects, brand equity, and consumer loyalty: Evidence from mobile payment market. International Journal of Electronic Commerce, 24(3), 279-304.
Gonzalez, E. S., & Deng, X. (2023). Social inclusion: The use of social media and the impact on first-generation college students. Journal of the Association for Information Systems, 24(5), 1313-1333.
Gümüsay, A. A., Raynard, M., Albu, O., Etter, M., & Roulet, T. (2022). Digital technology and voice: How platforms shape institutional processes through visibilization. In Digital transformation and institutional theory (pp. 57-85).
Hagel, J. (1999). Net gain: Expanding markets through virtual communities. Journal of Interactive Marketing, 13(1), 55-65.
Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. (1998). Multivariate data analysis (5th edition): Prentice Hall.
He, W., & Wei, K.-K. (2009). What drives continued knowledge sharing? An investigation of knowledge-contribution and -seeking beliefs. Decision Support Systems, 46(4), 826-838.
Heng, C. S., Lin, Z., Xu, X., Zhang, Y., & Zhao, Y. (2019). Human flesh search: What did we find? Information & Management, 56(4), 476-492.
Ho, S. Y., & Lim, K. H. (2018). Nudging moods to induce unplanned purchases in imperfect mobile personalization contexts. MIS Quarterly, 42(3), 757-778.
Hsu, C.-P., & Chang, C.-W. (2022). Does the social platform established by mmorpgs build social and psychological capital? Computers in Human Behavior, 129, 107139.
Hsu, M. H., & Chang, C. M. (2012). Examining interpersonal trust as a facilitator and uncertainty as an inhibitor of intra‐organisational knowledge sharing. Information Systems Journal, 24(2), 119-142.
Huang, K.-Y., Chengalur-Smith, I., & Pinsonneault, A. (2019). Sharing is caring: Social support provision and companionship activities in healthcare virtual support communities. MIS Quarterly, 43(2), 395-423.
Imlawi, J., & Gregg, D. (2020). Understanding the satisfaction and continuance intention of knowledge contribution by health professionals in online health communities. Informatics for Health and Social Care, 45(2), 151-167.
Jiang, L., Mirkovski, K., D. Wall, J., Wagner, C., & Benjamin Lowry, P. (2018). Proposing the core contributor withdrawal theory (ccwt) to understand core contributor withdrawal from online peer-production communities. Internet Research, 28(4), 988-1028.
Jin, X.-L., Zhou, Z., Lee, M. K. O., & Cheung, C. M. K. (2013). Why users keep answering questions in online question answering communities: A theoretical and empirical investigation. International Journal of Information Management, 33(1), 93-104.
Jing, Y., & Baluja, S. (2008). Visualrank: Applying pagerank to large-scale image search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(11), 1877-1890.
Kane, G. C., & Ransbotham, S. (2016). Research note—content and collaboration: An affiliation network approach to information quality in online peer production communities. Information Systems Research, 27(2), 424-439.
Karahanna, E., Xin Xu, S., Xu, Y., & Zhang, N. (2018). The needs–affordances–features perspective for the use of social media. MIS Quarterly, 42(3), 737-756.
Ke, W., Tan, C.-H., Sia, C.-L., & Wei, K.-K. (2012). Inducing intrinsic motivation to explore the enterprise system: The supremacy of organizational levers. Journal of Management Information Systems, 29(3), 257-290.
Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111-126.
Kim, J., Song, J., & Jones, D. R. (2011). The cognitive selection framework for knowledge acquisition strategies in virtual communities. International Journal of Information Management, 31(2), 111-120.
Kreutz, C. K., & Schenkel, R. (2022). Scientific paper recommendation systems: A literature review of recent publications. International Journal on Digital Libraries, 23(4), 335-369.
Kuem, J., Khansa, L., & Kim, S. S. (2020). Prominence and engagement: Different mechanisms regulating continuance and contribution in online communities. Journal of Management Information Systems, 37(1), 162-190.
Lee, S.-Y., Rui, H., & Whinston, A. B. (2019). Is best answer really the best answer? The politeness bias. MIS Quarterly, 43(2), 579-600.
Lee, Z. W. Y., Cheung, C. M. K., & Chan, T. K. H. (2021). Understanding massively multiplayer online role‐playing game addiction: A hedonic management perspective. Information Systems Journal, 31(1), 33-61.
Li, Y., Ding, X., Aierken, A., Pan, Y., Chen, Y., & Hu, D. (2022). The role of community cohesion in older adults during the covid-19 epidemic: Cross-sectional study. JMIR Public Health and Surveillance, 9, e45110.
Liao, G.-Y., Huang, T.-L., Dennis, A. R., & Teng, C.-I. (2023). The influence of media capabilities on knowledge contribution in online communities. Information Systems Research, 35(1), 165-183.
Liao, J., Dong, X., & Guo, Y. (2020). Examining knowledge contribution in firm- versus consumer-hosted virtual brand community. Electronic Commerce Research and Applications, 41, 100963.
Lin, C.-C., & Tsai, C.-C. (2011). Applying social bookmarking to collective information searching (CIS): An analysis of behavioral pattern and peer interaction for co-exploring quality online resources. Computers in Human Behavior, 27(3), 1249-1257.
Lin, C.-P., Wang, Y.-J., Tsai, Y.-H., & Hsu, Y.-F. (2010). Perceived job effectiveness in coopetition: A survey of virtual teams within business organizations. Computers in Human Behavior, 26(6), 1598-1606.
Lu, X., Jiang, J., Head, M., & Yang, J. (2022). The impact of linguistic complexity on leadership in online Q&A communities: Comparing knowledge shaping and knowledge adding. Information & Management, 59(6), 103675.
Luo, L., Wang, Y., Duan, S., Shang, S., Ma, B., & Zhou, X. (in press). Continuous knowledge contribution in social Q&A communities: The moderation effects of self-presentation and motivational affordances. Information Technology & People.
Ma, M., & Agarwal, R. (2007). Through a glass darkly: Information technology design, identity verification, and knowledge contribution in online communities. Information Systems Research, 18(1), 42-67.
Malinen, S. (2015). Understanding user participation in online communities: A systematic literature review of empirical studies. Computers in Human Behavior, 46, 228-238.
Paivio, A. (1986). Mental representations: A dual coding approach: Oxford University Press.
Pendry, L. F., & Salvatore, J. (2015). Individual and social benefits of online discussion forums. Computers in Human Behavior, 50, 211-220.
Phang, C. W., Kankanhalli, A., & Sabherwal, R. (2009). Usability and sociability in online communities: A comparative study of knowledge seeking and contribution. Journal of the Association for Information Systems, 10(10), 721-747.
Ponnamma Divakaran, P. K., Hasan, Henry Linger, H., & Nørskov, S. (2016). Are online communities on par with experts in the evaluation of new movies? Evidence from the fandango community. Information Technology & People, 29(1), 120-145.
Priharsari, D., & Abedin, B. (2022). Orchestrating value co-creation in online communities as fluid organisations: Firm roles and value creation mechanisms. Information Technology & People, 35(7), 2393-2417.
Qian, Y., Ni, Z., Zheng, H., Liu, Z., & Ma, F. (2023). Factors influencing users’ post replying behavior in a senior online community: An empirical investigation. Telematics and Informatics, 77, 101926.
Ren, Y., Harper, F., Drenner, S., Terveen, L., Kiesler, S., Riedl, J., & Kraut, R. (2012). Building member attachment in online communities: Applying theories of group identity and interpersonal bonds. MIS Quarterly, 36(3), 841-864.
Rheingold, H. (1993). The virtual community: Homesteading on the electronic frontier. London: Addison-Wesley.
Shi, C., Hu, P., Fan, W., & Qiu, L. (2021). How learning effects influence knowledge contribution in online Q&A community? A social cognitive perspective. Decision Support Systems, 149, 113610.
Shi, C., Hu, P., Fan, W., & Qiu, L. (in press). Competitive peer influence on knowledge contribution behaviors in online Q&A communities: A social comparison perspective. Internet Research.
Shoshani, A., & Krauskopf, M. (2021). The fortnite social paradox: The effects of violent-cooperative multi-player video games on children’s basic psychological needs and prosocial behavior. Computers in Human Behavior, 116, 106641.
Song, J., & Chung, Y. (2020). Reexamining the interaction between expectancy and task value in academic settings. Learning and Individual Differences, 78, 101839.
Song, J., & Xu, P. (2023). Healthier together: Social support, self-regulation and goal management for chronic conditions in online health communities. Information & Management, 60(7), 103830.
Steelman, Z. R., Hammer, B. I., & Limayem, M. (2014). Data collection in the digital age. MIS Quarterly, 38(2), 355-378.
Sun, J., Williams, D., & Li, Y. (2021). Let’s bail!: The evolution of individual-group affiliation in an online gaming community. Computers in Human Behavior, 121, 106818.
Sun, Y., Fang, Y., & Lim, K. H. (2012). Understanding sustained participation in transactional virtual communities. Decision Support Systems, 53(1), 12-22.
Tan, X., Jin, F., & Dennis, A. R. (2022). How appreciation and attention affect contributions to electronic networks of practice. Journal of Management Information Systems, 39(4), 1037-1063.
Teng, C.-I., Huang, T.-L., Liao, G.-Y., & Dennis, A. R. (2022). Administrator-users contribute more to online communities. Information & Management, 59(8), 103717.
Tsai, H. T., & Bagozzi, R. P. (2014). Contribution behavior in virtual communities: Cognitive, emotional, and social influences. MIS Quarterly, 38(1), 143-163.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Verhagen, T., Feldberg, F., van den Hooff, B., Meents, S., & Merikivi, J. (2011). Satisfaction with virtual worlds: An integrated model of experiential value. Information & Management, 48(6), 201-207.
Wang, K., Tai, J. C. F., & Hu, H.-f. (2023). Role of brand engagement and co-creation experience in online brand community continuance: A service-dominant logic perspective. Information Processing & Management, 60(1), 103136.
Wang, N., Wang, L., Ma, Z., & Wang, S. (2022). From knowledge seeking to knowledge contribution: A social capital perspective on knowledge sharing behaviors in online Q&A communities. Technological Forecasting and Social Change, 182, 121864.
Wang, X., Lu, J., Ow, T. T., Feng, Y., & Liu, L. (2021). Understanding the emotional and informational influence on customer knowledge contribution through quantitative content analysis. Information & Management, 58(2), 103426.
Wang, Y.-S., & Shih, Y.-W. (2009). Why do people use information kiosks? A validation of the unified theory of acceptance and use of technology. Government Information Quarterly, 26(1), 158-165.
Wasko, M. M., & Faraj, S. (2005). Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
Wigfield, A. (1994). Expectancy-value theory of achievement motivation: A developmental perspective. Educational Psychology Review, 6(1), 49-78.
Wigfield, A., & Eccles, J. S. (2000). Expectancy-value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68-81.
Wilson, T. D. (2000). Human information behavior. Informing Science, 3, 49-56.
Wu, C.-G., Gerlach, J. H., & Young, C. E. (2007). An empirical analysis of open source software developers’ motivations and continuance intentions. Information & Management, 44(3), 253-262.
Xu, L. Z., Sargent, M., Xu, Y., Sun, J., Li, Y., & Fulk, J. (2022). The emergence of core (hash)tags and its effects on performance. Telematics and Informatics, 72, 101854.
Xun, Y., Zheng, X., Lee, M., & Yang, F. (2023). The influence of technology affordance on addictive use in mmogs: From the perspective of virtual-domain perfectionism. Internet Research, 34(2), 631-664.
Yan, Z., Wang, T., Chen, Y., & Zhang, H. (2016). Knowledge sharing in online health communities: A social exchange theory perspective. Information & Management, 53(5), 643-653.
Yu, J., Jiang, Z., & Chan, H. C. (2011). The influence of sociotechnological mechanisms on individual motivation toward knowledge contribution in problem-solving virtual communities. IEEE Transactions on Professional Communication, 54(2), 152-167.
Zhang, L., Shao, Z., Benitez, J., & Zhang, R. (2023). How to improve user engagement and retention in mobile payment: A gamification affordance perspective. Decision Support Systems, 168, 113941.
Zhang, X., Liu, S., Deng, Z., & Chen, X. (2017). Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users. Computers in Human Behavior, 75, 797-810.
全國人口資料庫統計地圖. (2024). Retrieved from: https://gis.ris.gov.tw/dashboard.html?key=B02. Accessed on July, 3, 2024.
指導教授 黃子菱(Tzu-Ling Huang) 審核日期 2024-7-29
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明