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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/141033
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/141033


    Title: 從通訊過程與情境因素探討社群媒體貼圖的分享意願
    Adopting the Perspectives of Communication Process and Situational Factors to Discuss Share Intention on Social Media Stickers
    Authors: 游惠君
    Yu, Hui-Chun
    Contributors: 洪為璽
    Hung, Wei-Hsi
    游惠君
    Yu, Hui-Chun
    Keywords: 社群媒體
    貼圖
    媒體同步理論
    通訊過程
    分享意願
    social media
    LINE sticker
    media synchronicity theory
    communication process
    share intention
    Date: 2022
    Issue Date: 2022-08-01 17:21:44 (UTC+8)
    Abstract: 近年來社群媒體快速的成長獲得了許多關注,貼圖是一種能夠同時傳遞文字涵義及情感的媒介,能與使用者的日常生活更具連結性,因此在社群媒體上成為最主流的視覺化數位語言。然而,大部分的研究專注在貼圖的特徵對於購買意願的影響,在分享意願上的研究較少被討論,因此本研究的目的是想探討貼圖資訊在通訊過程中影響通訊成效的重要因素,並了解通訊成效與貼圖分享意願的關係。本研究使用結構方程模型分析,透過 532 位曾經購買過LINE貼圖使用者的調查,來驗證本研究提出的模型和假設。研究結果顯示,匯聚型通訊、對象熟悉度以及貼圖重要性對於貼圖通訊成效是重要的影響因素,而貼圖通訊成效會對貼圖分享意願有正向顯著的影響。本研究的架構實證並延伸了媒體同步理論,上述結果可作為在社群媒體領域中類似研究的參考依據。
    The rapid growth of social media has attracted a lot of attention in recent years. Stickers connecting to the user`s daily life are a medium that conveys both meaning and emotion. Therefore, stickers have become the most popular visual language in social media. However, most of the research focus on the influence of sticker features on purchase intention, while the researches on sharing intention are rarely discussed. To fill this research gap, the purpose of this study is to investigate factors that affect communication performance and the relationship between communication performance and user’s share intention. Structural equation modeling(SEM) was used to test the hypotheses proposed in this study. We collected data from 532 participants purchasing LINE stickers users. The results show that the communication process aiming of convergence, partner familiarity and sticker importance are important factors for the effectiveness of communication performance. We also found that communication performance significantly affects share intention. Model developed in this study was extended from Media Synchronicity Theory, and it was tested and examined. Our findings can provide reference for the application of social media.
    Reference: 英文文獻
    Adner, R., & Kapoor, R. (2010). Value creation in innovation ecosystems: How the structure of technological interdependence affects firm performance in new technology generations. Strategic Management Journal, 31(3), 306-333.

    Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39). Springer, Berlin, Heidelberg.

    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

    Al-Maroof, R. S., Salloum, S. A., AlHamadand, A. Q. M., & Shaalan, K. (2019, October). A unified model for the use and acceptance of stickers in social media messaging. In International conference on advanced intelligent systems and informatics (pp. 370-381). Springer, Cham.

    Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.

    Bollen, K. A., & Long, J. S. (Eds.). (1993). Testing structural equation models (Vol. 154). Sage.

    Byron, K., & Baldridge, D. C. (2007). E-mail recipients` impressions of senders` likability: The interactive effect of nonverbal cues and recipients` personality. The Journal of Business Communication (1973), 44(2), 137-160.

    Cao, X., Vogel, D. R., Guo, X., Liu, H., & Gu, J. (2012, January). Understanding the influence of social media in the workplace: An integration of media synchronicity and social capital theories. In 2012 45th Hawaii International Conference on System Sciences (pp. 3938-3947). IEEE.

    Carlson, J. R., & Zmud, R. W. (1999). Channel expansion theory and the experiential nature of media richness perceptions. Academy of Management Journal, 42(2), 153-170.

    Chen, X., & Siu, K. W. M. (2017). Exploring user behaviour of emoticon use among Chinese youth. Behaviour & Information Technology, 36(6), 637-649.

    Cheng, X., Dale, C., & Liu, J. (2007). Understanding the characteristics of internet short video sharing: YouTube as a case study. arXiv preprint arXiv:0707.3670.

    Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.

    Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.

    Cievski, A., & Zhupanoski, I. (2014). Understanding reasons for choosing certain media for internal communication in. Academy of Management Review, 9(2), 284-295.

    Cohen, J. (1998). Statistical Power Analysis for the Behavioral Sciences (2nd ed.), Hillsdale, NJ: Lawrence Erlbaum Associates.

    Cornelius, C., & Boos, M. (2003). Enhancing mutual understanding in synchronous computer-mediated communication by training: Trade-offs in judgmental tasks. Communication Research, 30(2), 147-177.

    De Seta, G. (2018). Biaoqing: The circulation of emoticons, emoji, stickers, and custom images on Chinese digital media platforms. First Monday.

    Dennis, A. R., & Reinicke, B. A. (2004). Beta versus VHS and the acceptance of electronic brainstorming technology. MIS Quarterly, 1-20.

    Dennis, A. R., & Valacich, J. S. (1999, January). Rethinking media richness: Towards a theory of media synchronicity. In Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers (pp. 10-pp). IEEE.

    Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008). Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly, 575-600.

    Dennis, A. R., Valacich, J. S., Speier, C., & Morris, M. G. (1998, January). Beyond media richness: An empirical test of media synchronicity theory. In Proceedings of the Thirty-First Hawaii International Conference on System Sciences (Vol. 1, pp. 48-57). IEEE.

    Derks, D., Bos, A. E., & Von Grumbkow, J. (2007). Emoticons and social interaction on the Internet: the importance of social context. Computers in Human Behavior, 23(1), 842-849.

    Derks, D., Fischer, A. H., & Bos, A. E. (2008). The role of emotion in computer-mediated communication: A review. Computers in Human Behavior, 24(3), 766-785.

    Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: An alternative to scale development. Journal of Marketing Research, 38(2), 269-277.

    Dron, J. (2007). Designing the undesignable: Social software and control. Journal of Educational Technology & Society, 10(3), 60-71.

    Farkas, M. G. (2007). Social software in libraries: building collaboration, communication, and community online. Information Today, Inc..

    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

    Fu, X. and Juan, Z. (2016), “Understanding public transit use behavior: integration of the theory of planned behavior and the customer satisfaction theory”, Transportation, 43(1) ,1~22.

    Geiger, I., & Laubert, C. (2018). Situational strategic versus personal influences on negotiation medium choice: Media synchronicity theory and affect for communication channel. International Journal of Conflict Management.

    George, D., & Mallery, P. (2019). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge.

    George, J. F., Carlson, J. R., & Valacich, J. S. (2013). Media selection as a strategic component of communication. MIS Quarterly, 1233-1251.

    Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM). Los Angeles: Sage publications.

    Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.

    Harrison, A. (2018). The effects of media capabilities on the rationalization of online consumer fraud. Journal of the Association for Information Systems, 19(5), 1.

    Harrison, A., & Windeler, J. B. (2020). Framing Communication: How Agenda Alignment and Media Capabilities Shape Partially Cooperative Communication. MIS Quarterly, 44(2).

    Hashim, K. F., & Tan, F. B. (2015). The mediating role of trust and commitment on members’ continuous knowledge sharing intention: A commitment-trust theory perspective. International Journal of Information Management, 35(2), 145-151.

    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.

    Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In New challenges to international marketing. Emerald Group Publishing Limited.

    Herring, S., & Dainas, A. (2017, January). “Nice picture comment!” Graphicons in Facebook comment threads. In Proceedings of the 50th Hawaii International Conference on System Sciences.

    Hinds, P. J., & Cramton, C. D. (2014). Situated coworker familiarity: How site visits transform relationships among distributed workers. Organization Science, 25(3), 794-814.

    Huang, N., Chen, P., Hong, Y., & Wu, S. (2018, January). Digital nudging for online social sharing: Evidence from a randomized field experiment. In Proceedings of the 51st Hawaii International conference on system sciences.

    Janssen, J. H., Ijsselsteijn, W. A., & Westerink, J. H. (2014). How affective technologies can influence intimate interactions and improve social connectedness. International Journal of Human-Computer Studies, 72(1), 33-43.

    Jenkins, H. (2008). Convergence Culture: Where Old and New Media Collide. New York: New York University Press.

    Kim, S., & Zeelim-Hovav, A. (2011, 12–14 June). The impact of smart phone usability on group task performance in a university environment: Media synchronicity perspective. Paper presented at the International Conference on Information Resources Management (CONF-IRM), Seoul, South Korea.

    Kim, W., Jeong, O. R., & Lee, S. W. (2010). On social Web sites. Information systems, 35(2), 215-236.

    Laurent, G., & Kapferer, J. N. (1985). Measuring consumer involvement profiles. Journal of Marketing Research, 22(1), 41-53.

    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, J. Y., Hong, N., Kim, S., Oh, J., & Lee, J. (2016, September). Smiley face: why we use emoticon stickers in mobile messaging. In Proceedings of the 18th international conference on human-computer interaction with mobile devices and services adjunct (pp. 760-766).

    Lee, Y. C. (2017). Effects of branded e-stickers on purchase intentions: The perspective of social capital theory. Telematics and Informatics, 34(1), 397-411.

    Lewicki, R.J., Barry, B. and Saunders, D.M. (2010), Negotiation, 6th ed., McGraw-Hill, New York, NY.

    Lewis, L. (2019). Organizational Change: Creating Change through Strategic Communication (2nded.), Hoboken, NJ: Wiley Blackwell.

    Liao, S. H., & Hsu, S. Y. (2019). Big data analytics for investigating Taiwan Line sticker social media marketing. Asia Pacific Journal of Marketing and Logistics.

    Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior, 41, 104-111.

    Liu, S. F., Liu, H. H., Chang, J. H., & Chou, H. N. (2019). Analysis of a new visual marketing craze: The effect of LINE sticker features and user characteristics on download willingness and product purchase intention. Asia Pacific Management Review, 24(3), 263-277.

    Ma, L., Zhang, X., & Ding, X. Y. (2018). Social media users’ share intention and subjective well-being: An empirical study based on WeChat. Online Information Review.

    Martin, I. M., & Stewart, D. W. (2001). The differential impact of goal congruency on attitudes, intentions, and the transfer of brand equity. Journal of Marketing Research, 38(4), 471-484.

    McGrath, J. E., & Kelly, J. R. (1986). Time and human interaction: Toward a social psychology of time. Guilford Press.

    Ng, E. H., & Kwahk, K. Y. (2010). Examining the determinants of Mobile Internet service continuance: a customer relationship development
    perspective. International Journal of Mobile Communications, 8(2), 210-229.

    Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25~48.

    Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418-430.

    Park, M. J., Choi, H., & Rho, J. J. (2016). Citizen patronage behavior of government social media services: Extended perspective of perceived value with the moderating effect of media synchronicity. Information Development, 32(3), 293-312.

    Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. Cyberpsychology & Behavior, 12(6), 729-733.

    Raiffa, H. (1982), The Art and Science of Negotiation, Harvard University Press, Cambridge.

    Ruangkanjanases, A., & Wutthisith, M. (2017). Factors influencing intention to purchase stickers in a messaging application: a comparative study between male and female customers in Thailand. Advanced Science Letters, 23(1), 634-639.

    Shaffer, L. H. (1976). Intention and performance. Psychological Review, 83(5), 375.

    Shannon, C. E., and Weaver, W. (1949). The Mathematical Theory of Communication, Urbana, IL: University of Illinois Press.

    Sun, T., Viswanathan, S., Huang, N., & Zheleva, E. (2021). Designing Promotional Incentives to Embrace Social Sharing: Evidence from Field and Online Experiments. MIS Quarterly, 45(2).

    Tan, X., Lu, Y., & Tan, Y. (2021). The Impact of Subscription Reciprocity on Charitable Content Creation and Sharing: Evidence from Twitter on Giving Tuesday. MIS Quarterly, 45(2), 535–561.

    Tang, Y., & Hew, K. F. (2019). Emoticon, emoji, and sticker use in computer-mediated communication: A review of theories and research findings. International Journal of Communication, 13, 27.

    Thompsen, P. A., & Foulger, D. A. (1996). Effects of pictographs and quoting on flaming in electronic mail. Computers in Human Behavior, 12(2), 225-243.

    Thompson, D., & Filik, R. (2016). Sarcasm in written communication: Emoticons are efficient markers of intention. Journal of Computer-Mediated Communication, 21(2), 105-120.

    Tossell, C. C., Kortum, P., Shepard, C., Barg-Walkow, L. H., Rahmati, A., & Zhong, L. (2012). A longitudinal study of emoticon use in text messaging from smartphones. Computers in Human Behavior, 28(2), 659-663.

    Wang, S. S. (2016). More than words? The effect of line character sticker use on intimacy in the mobile communication environment. Social Science Computer Review, 34(4), 456-478.

    Wang, W. Y., Pauleen, D. J., & Zhang, T. (2016). How social media applications affect B2B communication and improve business performance in SMEs. Industrial Marketing Management, 54, 4-14.

    Wheeler, B. C., & Valacich, J. S. (1996). Facilitation, GSS, and training as sources of process restrictiveness and guidance for structured group decision making: An empirical assessment. Information Systems Research, 7(4), 429-450.

    Xu, L., Yi, C., & Xu, Y. (2007). Emotional expression online: The impact of task, relationship and personality perception on emoticon usage in instant messenger. PACIS 2007 Proceedings, 79.

    Zhou, R., Hentschel, J., & Kumar, N. (2017, May). Goodbye text, hello emoji: Mobile communication on WeChat in China. In Proceedings of the 2017 CHI conference on human factors in computing systems (pp. 748-759).

    網路文獻
    LINE (2021),LINE Business Guide(Summary),取自:https://www.linebiz.com/sites/default/files/media/jp/download/EN_LINE%20Business%20Guide_202201-06_summary.pdf

    NAVER (2021),2020 NAVER Annual Report,取自:https://www.navercorp.com/navercorp_/ir/annualReport/2022/2020AR_NAVER_ENG_220203.pdf

    NAVER (2022),4Q21 Earnings Result,取自:https://www.navercorp.com/navercorp_/ir/earningsRelease/2022/4Q21%20Naver_Earnings_Eng_Final.pdf

    財團法人台灣網路資訊中心(2020年10月),2020台灣網路報告,取自:https://www.twnic.tw/doc/twrp/202012e.pdf
    Description: 碩士
    國立政治大學
    資訊管理學系
    109356015
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0109356015
    Data Type: thesis
    DOI: 10.6814/NCCU202200955
    Appears in Collections:[Department of MIS] Theses

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