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题名: | 社群商務意圖的影響因素,以Instagram為對象的COVID-19縱向研究 A COVID-19 longitudinal study for factors influencing social commerce intention – the case of Instagram |
作者: | 陳冠霖 Chen, Guan-Lin |
贡献者: | 洪叔民 Horng, Shwu-Min 陳冠霖 Chen, Guan-Lin |
关键词: | 社群商務 Instagram 新冠肺炎 縱向研究 Social commerce intention Instagram COVID-19 Longitudinal research |
日期: | 2022 |
上传时间: | 2022-09-02 15:49:55 (UTC+8) |
摘要: | 近年來,電子商務與社群網站逐漸成為消費者經常使用之購物與社交媒介,並隨之衍生出社群商務的新興概念。而Instagram是現今年輕族群最常使用之社群媒體之一,其使用者之年齡層分佈與最常使用網路購物的族群不謀而合,近年來有許多商家也紛紛開始利用Instagram作為其商品曝光之管道,無論是下廣告、作為與消費者互動之平台等, Instagram無疑是非常重要之社群商務研究對象。然而,近幾年受疫情之影響,消費者許多日常生活皆受到影響,本研究主要探討疫情前與後,影響消費者使用Instagram社群商務意願之接收與給予的因素有何差異?
本研究於疫情前與疫情後,利用發放線上問卷之方式,於疫情前收集404份有效問卷、疫情後收集352份有效問卷。之後便透過統計分析發現,於社群商務意圖接收行為之中,利他主義、資訊支持、對網站之信任與有效性為疫情下顯著影響消費者的四個因素,而疫情下社群商務意圖給予行為之中則沒有因素為顯著。因此研究結論即針對此結果給予Instagram與Instagram之網路商家實務上的建議,並在最後說明未來若要繼續進行此研究,可以探討的方向與主題為何。 In recent years, e-commerce and social networking sites have gradually become the shopping and social media frequently used by consumers, and the emerging concept of social commerce has been derived. Instagram is one of the most commonly used social media among young people today. The age distribution of its users coincides with the groups who use online shopping most often. In recent years, many businesses have also begun to use Instagram as their channel of exposure. Whether it is used for advertising, as a platform for interacting with consumers, etc., Instagram is undoubtedly a very important social commerce research object. However, due to the impact of the epidemic in recent years, many daily lives of consumers have been affected. This study mainly explores the differences between the factors that affect social commerce intention before and after the epidemic.
In this study, 404 valid questionnaires were collected before the epidemic and 352 valid questionnaires were collected after the epidemic by using online questionnaires before and after the epidemic. Afterwards, through statistical analysis, it was found that among the social commerce intention receiving behaviors, altruism, information support, trust toward service and usefulness were the four factors that significantly affected consumers during the epidemic. As for social commerce intention giving, no factor was significant. Therefore, the conclusion of the research gives out practical advice to Instagram and Instagram`s online merchants based on this result, and finally suggest the direction and themes that can be explored if the research is to be continued in the future. |
參考文獻: | ㄧ、中文文獻 統計處(2022)。產業經濟統計簡訊。台北:經濟部。第398期。(June 15, 2022) 經貿透視雙週刊第581期(2021)。「疫後全球電子商務發展趨勢」論壇暨市調系列發表會。檢自https://www.trademag.org.tw/page/itemsd/?id=7852347&no=40。(June 15, 2022) 天下雜誌(2020)。【奧美觀點】Instagram十歲,迎接個人化行銷時代!檢自https://www.cw.com.tw/article/5102914。(June 15, 2022) Inside(2021)。【林克威電商專欄】2021 IG 社群趨勢—透過 Instagram 創造銷售佳績!檢自https://www.inside.com.tw/article/22682-instagram-boosting-sales。(June 15, 2022)
二、英文文獻 Abiad, A., Arao, R. M., & Dagli, S. (2020). The economic impact of the COVID-19 outbreak on developing Asia. ADB Brifes, 128, 1-13. Animesh, A., Pinsonneault, A., Yang, S. B., & Oh, W. (2011). An odyssey into virtual worlds: exploring the impacts of technological and spatial environments on intention to purchase virtual products. Mis Quarterly, 35(3), 789-810. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215. Barakat, K. A., Dabbous, A., & Sayegh, M. M. (2021). Social Commerce and Hedonic Utilitarian Nexus: An Empirical Analysis. Journal of Electronic Commerce in Organizations, 19(3), 21. Baalen, P. V., Bloemhof-Ruwaard, J., & Heck, E. V. (2005). Knowledge Sharing in an Emerging Network of Practice: The Role of a Knowledge Portal. European Management Journal, 23(3), 300-314. Beisel, D. (2006). The emerging field of social commerce and social shopping. Genuine VC, 15-21 Blau, Peter M. (1964). Exchange and Power in Social Life, New York: Wiles. Bocken, N. M. P., Short, S. W., Rana, P., & Evans, S. (2014) A literature and practice review to develop sustainable business model archetypes. Journal of Cleaner Production, 65, 42-56. Brown, B., & Pelaprat, E. (2012). Reciprocity: Understanding online social relations. First Monday, 17(10). Busalim, A. H., & Hussin, A. R. C. (2016). Understanding social commerce: A systematic literature review and directions for further research. International Journal of Information Management, 36(6), 1075–1088. Carlo, G., Eisenberg, N., Troyer, D., Switzer, G., & Speer, A. L. (1991). The altruistic personality: In what contexts is it apparent? Journal of Personality and Social Psychology, 61(3), 450–458 Carroll, B. (2008). Social Shopping: A New Twist on e-Commerce. Retrieved from https://www.furnituretoday.com/jumplink.php (Sep 21, 2012) Cheung, C. M. K., Lee, M. K. O., & Lee, Z. W. Y. (2013). Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processes. Journal of the American Society for Information Science and Technology, 64(7), 1357-1374. Cho, N., Zheng Li, G., & Su, C. (2007). An empirical study on the effect of individual factors on knowledge sharing by knowledge type. Journal of Global Business and Technology, 3(2), 1-15. Chiu, C. M., & Fang, Y. H. (2010). In justice we trust: Exploring knowledge-sharing continuance intentions in virtual commintities of practice. Computers in Human Behavior, 26(2), 235-246. Chen, J., Li, J., Cao, B., Wang, F., Luo, L., & Xu, J. (2020). Mediating effects of self‐efficacy, coping, burnout, and social support between job stress and mental health among young Chinese nurses. Journal of Advanced Nursing, 76(1), 163-173. Chen, H. L., Fan, H. L., & Tsai, C. C. (2014). The role of community trust and altruism in knowledge sharing: An investigation of a virtual community of teacher professionals. Journal of Educational Technology & Society, 17(3), 168-179. Chong, A. Y. L., Lacka, E., Boying, L., & Chan, H. K. (2018). The role of social media in enhancing guanxi and perceived effectiveness of E-commerce institutional mechanisms in online marketplace. Information & management, 55(5), 621-632. Cobb, S. (1976). Social support as a moderator of life stress. Psychosomatic Medicine, 38(5), 300–314. Comrey, A. L. (1978). Common methodological problems in factor analytic studies. Journal of consulting and clinical psychology, 46(4), 648. Curry, O., & Dunbar, R. I. M. (2011). Altruism in networks: the effect of connections. Biology Letters, 7(5), 651-653. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. Dai, H., & Salam, A. F. (2014). Does service convenience matter? An empirical assessment of service quality, service convenience and exchange relationship in electronic mediated environment. Electron Markets, 24, 269-284. Dai, H., & Salam, A. F. (2020). An empirical assessment of service quality, service consumption experience and relational exchange in electronic mediated environment (EME). Information Systems Frontiers, 22(4), 843-862. Donthu, N., & Porter. C. E. (2008). Cultivating Trust and Harvesting Value in Virtual Communities. Management Science, 54(1), 113-128. Doney, P. M., & Cannon, J. P. (1997). An examination of the Nature of Trust in Buyer-Seller Relationships. Journal of Marketing, 61, 35-51. Elias, M. J., Bruene-Butler, L., Blum, L., & Schuyler, T. (2000). Voices from the field: Identifying and overcoming roadblocks to carrying out programs in social and emotional learning/emotional intelligence. Journal of educational and psychological consultation, 11(2), 253-272. Enders, A., Hungenberg, H., Denker, H. P., & Mauch, S. (2008). The long tail of social networking.: Revenue models of social networking sites. European Management Journal, 26(3), 199-211. Faraj. S., & Wasko, M. M. (2005). Why Should I Share? Examining Social Capital And Knowledge Contribution in Electronic Networks Of Practice. MIS Quarterly, 29(1), 33-57. Fassnacht, M., & Koese, I. (2006). Quality of electronic services: conceptualizing and testing a hierarchical model. Journal of service research, 9(1), 19-37. Fisher, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An Introduction to Theory and Research. New York, America: Addison-Wesley Pub (Sd). Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90. Gittell, R., & Vidal, A. (1998). Community Organizing: Building Social Capital as a Development Strategy. London, United Kingdom: SAGE Publications. Gibreel, O., AlOtaibi, D. A., & Altmann, J. (2018). Social commerce development in emerging markets. Electronic Commerce Research and Applications, 27, 152-162. Granovetter, M. S. (1973). The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360-1380. Green, D. T., & Pearson, J. M. (2011). Integrating website usability with the electronic commerce acceptance model. Behaviour & Information Technology, 30(2), 181-199. Gu, S., Ślusarczyk, B., Hajizada, S., Kovalyova, I., & Sakhbieva, A. (2021). Impact of the COVID-19 Pandemic on Online Consumer Purchasing Behavior. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2263-2281. Hajli, N. (2015). Social commerce constructs and consumer`s intention to buy. Internatioanl Journal of Information Management, 35(2), 183-191. Hair, J. F. (2011). Multivariate data analysis: An overview. International encyclopedia of statistical science, 904-907. 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. Haythornthwaite, C. (2015). Rethinking learning spaces: Networks, structures, and possibilities for learning in the twenty-first century. Communication Research and Practice, 1(4), 292-306. Hocevar, K. P., Flanagin, A. J., & Metzger, M. J. (2014). Social media self-efficacy and information evaluation online. Computer in Human Behavior, 39, 254-262. Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & Management, 45(1), 65-74. Hsu, C. L., & Lin, J. C. C. (2008). Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Information & management, 45(1), 65-74. Huang, Z., & Benyoucef, M. (2015). User preferences of social features on social commerce websites: An empirical study. Technological Forecasting and Social Change, 95, 57-72. Hu, S., Tu, Z., Wang, Z., & Xu, X. (2019, Jul). A POI-sensitive knowledge graph based service recommendation method. In 2019 IEEE International Conference on Services Computing (SCC) (pp. 197-201). IEEE. Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer Trust in and Internet Store. Information Technology and Management, 1, 45-71. Jiang, G., Peng, L., & Liu, R. (2015). Mobile game adoption in China: The role of TAM and perceived entertainment, cost, similarity and brand trust. International Journal of Hybrid Information Technology, 8(4), 213-232. Kankanhalli, A. Tan, B. C. Y., & Wei, K. K. (2005). Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation. MIS Quarterly, 29(1), 113-143. Kalman, M. E. (1999). The effects of organizational commitment and expected outcomes on the motivation to share discretionary information in a collaborative database: communication dilemmas and other serious games. University of Southern California. Kim, Y. A., & Srivastava, J. (2007, August). Impact of social influence in e-commerce decision making. In Proceedings of the ninth international conference on Electronic commerce (pp. 293-302). Kim, D. J., Ferrin, D. L., & Rao, H. Raghav. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544-564. Kim, S., & Park, H. (2013). Effect of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332. Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of marketing, 74(2), 71-89. Koh, J., & Kim, Y. G. (2004). Knowledge sharing in virtual communities: an e-business perspective. Expert systems with applications, 26(2), 155-166. Liang, T. P., Ho, Y. T., Li, Y. W., & Turban, E. (2011). What drives social commerce: The role of social support and relationship quality. International Journal of Electronic Commerce, 16(2), 69-90. Lin, J., Yan, Y., & Chen, S. (2017). Understanding the impact of social commerce website technical features on repurchase intention: a Chinese guanxi perspective. Journal of Electronic Commerce Research, 18(3), 225. Makmor, N., Alam, S. S., & Aziz, N, A. (2018). Social Support, Trust and Purchase Intention in Social Commerce Era. International Journal of Supply Chain Management, 7(5), 572-578. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734. McConnell, K. E. (1997). Does Altruism. Undermine Existence Value? Journal of Environmental Economics and Management, 32(1), 22-37. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The journal of strategic information systems, 11(3-4), 297-323. Metcalfe, B. (1995). Metcalfe’s law: A network becomes more valuable as it reaches more users. Infoworld, 17(40), 53-54. Molinillo, S., Liébana-Cabanillas, F., & Anaya-Sánchez, R. (2018). A Social Commerce Intention Model for Traditional E-Commerce Sites. Journal of theoretical and applied electronic commerce research, 13(2), 80-93. Osatuyi, B., & Qin, H. (2018). How vital is the role of affect on post-adoption behaviors? An examination of social commerce users. International Journal of Information Management, 40, 175-185. Ou, C. X., Pavlou, P. A., & Davison, R. M. (2014). Swift guanxi in online marketplaces: The role of computer-mediated communication technologies. MIS quarterly, 38(1), 209-230. Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information systems research, 15(1), 37-59. Pentina, I., Prybutok, V. R., & Zhang, X. (2008). The role of virtual communities as shopping reference groups. Journal of Electronic Commerce Research, 9(2), 114. Porter, C. E., & Donthu, N. (2008). Cultivating trust and harvesting value in virtual communities. Management Science, 54(1), 113-128. Putnam, R. D. (2000). Bowling Alone. New York, America: Free Press. Qui, L., & Benbasat, I. (2005). Online consumer trust and live help interfaces: the effects of text-to-speech voice and three-dimensional avatars. International Journal of Human–Computer Interaction, 19(1), 75–94. Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. The journal of strategic information systems, 11(3-4), 271-295. Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: Why people hang out online. Journal of Computer-mediated communication, 10(1), JCMC10110. Rubel, S. (2005). 2006 Trends to Watch Part II: Social Commerce. Retrieved from http://socialcommercetoday.com/steve-rubels-original-2005-social-commerce-post/ (Sep 21, 2012) Schoenbachler, D. D., & Gordon, G. L. (2002). Trust and customer willingness to provide information in database-driven relationship marketing. Journal of interactive marketing, 16(3), 2-16. Simon K. (2022). Digital 2022: Taiwan. Retrieved from https://datareportal.com/reports/digital-2022-taiwan (Feb 15, 2022) Steuer, J. S. (1992). Defining Virtual Reality: Dimensions Determining Telepresence. Journal of Communication, 42(4), 73-93. Stephen, A. T., & Toubia, O. (2010). Deriving value from social commerce networks. Journal of marketing research, 47(2), 215-228. Suh, J., & Harrison, S. (2006). Pure Altruism, Consumer Behavior and Choice Modeling. Asian Economic Journal, 20(2), 173-190. Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self‐efficacy and self‐regulation: Their impact on student engagement in distance education. British journal of educational technology, 43(2), 191-204. Tajvidi, M., Wang, Y., Hajli, N., & Love, E. D. P. (2021). Brand value Co-creation in social commerce: The role of interactivity, social support, and relationship quality. Computers in Human Behavior, 115, 1-3. Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2013). IT-mediated customer service content and delivery in electronic governments: An empirical investigation of the antecedents of service quality. MIS quarterly, 37(1), 77-109. Tsai, W., & Ghoshal, S. (1998). Social capital and value creation: The role of intrafirm networks. Academy of management Journal, 41(4), 464-476. Van der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704. Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision sciences, 33(2), 297-316. Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253-261. Wang, C., & Zhang, P. (2012). The Evolution of Social Commerce: The People, Management, Technology, and Information Dimensions. Communications of the Association for Information Systems, 31(5), 106-107. Wang, H., Chung, J. E., Park, N., Mclaughlin, M. L., & Fulk, J. (2012). Understanding online community participation: a technology acceptance perspective. Communic. Res., 39(6), 781-801. Wellman, B., & Wortley, S. (1990). Different strokes from different folks: Community ties and social support. American journal of Sociology, 96(3), 558-588. Wellman, B., & Gulia, M. (1996). Where does social support come from? The social network basis of interpersonal resources for coping with stress. Social conditions, stress, resources and health, 15(5). Williams, D. (2006). On and off the’Net: Scales for social capital in an online era. Journal of computer-mediated communication, 11(2), 593-628. WTO report looks at role of e-commerce during the COVID-19 pandemic. Retrieved May 4, 2020, from https://www.wto.org/english/news_e/news20_e/rese_04may20_e.htm Yeh, Y. H., & Choi, S. M. (2011). MINI-lovers, maxi-mouths: An investigation of antecedents to eWOM intention among brand community members. Journal of Marketing Communications, 17(3), 145-162. |
描述: | 碩士 國立政治大學 企業管理研究所(MBA學位學程) 109363086 |
資料來源: | http://thesis.lib.nccu.edu.tw/record/#G0109363086 |
数据类型: | thesis |
DOI: | 10.6814/NCCU202201404 |
显示于类别: | [企業管理研究所(MBA學位學程)] 學位論文
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