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Title: | 年齡與性別如何干擾社群商務意圖的影響因素 – 以新冠肺炎之下的 Instagram 為例 Moderating Effects of Age and Gender on the Factors Influencing Social Commence Intention – the case of Instagram under COVID-19 pandemic |
Authors: | 謝柏毅 Hsieh, Po-Yi |
Contributors: | 洪叔民 Horng, Shwu-Min 謝柏毅 Hsieh, Po-Yi |
Keywords: | 社群商務意圖 電子商務 Instagram E-commerce Instagram Social commerce intention |
Date: | 2022 |
Issue Date: | 2022-08-01 19:00:19 (UTC+8) |
Abstract: | 在近年來,社群平台結合電子商務功能成為一種全新的商業模式,即社群 電商。台灣市場當地網路的銷售額佔整體零售業營業額比重逐年上升,且在近年的疫情催化下,無形之間民眾的消費習慣漸漸改變,使得電子商務及線上銷售更加快速成長,社群電商已成為各產業不可忽視的一種銷售通路。而本研究鎖定Instagram該平台與其用戶來進行研究,Instagram為社群商務平台中成長最為明顯且快速的平台之一,且在近期也不斷在平台上推出與優化電商購物的功能,可謂掌握了消費者端與商家品牌端的需求。
本研究首先採用問卷調查法並透過線上進行問卷發放,後續再利用量化研究來分析樣本來產出研究結果。在研究上主要加入了年齡與性別兩大干擾變數,探討在面對疫情的生活下,對於Instagram用戶的社群商務意圖(SCI)的影響與變化。
最後,研究結果上發現,年齡對於SCI之接收行為,在對平台本身的信任、對平台成員的信任及服務傳遞品質等因素上有明顯的干擾效果,而對於SCI之給予行為,有利他行為及互惠性有明顯的干擾效果 ; 性別對於SCI之接收行為,在平台互動、對平台本身的信任、服務內容品質及易使用性等因素上有明顯的干擾效果,而對於SCI之給予行為,有平台互動、知識分享樂趣及對平台成員的信任等因素有明顯的干擾效果。並針對上述因素以如何增強用戶的社群商務意圖為目標,給予Instagram平台商及商家在管理的建議與優化方向。 In recent years, social platforms combined with e-commerce functions have become a new business model, namely social e-commerce. The proportion of local online sales in the Taiwan market to the overall retail sales has been increasing year by year, and with the epidemic in recent years, the consumption habits of the invisible public have gradually changed, making e-commerce and online sales grow even faster. Instagram is one of the most obvious and fast-growing social commerce platforms, and it has recently launched and optimized e-commerce shopping functions on the platform,so it can be said that it has grasped the needs of consumers and merchants` brands.
This study first used a questionnaire method and distributed the questionnaires online, and then used quantitative research to analyze the samples to generate the findings. Age and gender were added to the study as the moderators to investigate the impact and change of social commerce intention (SCI) of Instagram users in the epidemic.
Finally, it was found that age had significant interference effects on the receiving behavior of SCI in terms of trust in the platform itself, trust in the platform members, and quality of service delivery, while altruistic behavior and reciprocity had significant interference effects on the giving behavior of SCI; gender had significant interference effects on the receiving behavior of SCI in terms of platform interaction, trust in the platform itself, quality of service content, and ease of use. Gender has a significant interference effect on the receiving behavior of SCI in terms of platform interaction, trust in the platform itself, quality of service content, and ease of use, while the giving behavior of SCI has a significant interference effect in terms of platform interaction, fun of knowledge sharing, and trust in the platform members. In addition, the above-mentioned factors were used to enhance users` social business intentions, and suggestions and optimization directions were given to Instagram platform owners and merchants on how to manage them. |
Reference: | 一、中文文獻
魏文俊 (2022)。網購市場順勢躍升新高,成長率優於整體零售業。經濟部統計處。
資策會產業情報研究所 (2021)。社群與通訊消費者調查系列ㄧ 「限動」最吸引網友 行銷掌握黃金1分鐘原則 網友起床優先看Line群組 年輕族群更愛看IG 。https://mic.iii.org.tw/news.aspx?id=611&List=1。搜尋日期:2022年4月
Kantar Taiwan (2021)。Z世代將成年,將如何改變世界?。https://kantar.com.tw/News_detail.php?nid=36。 搜尋日期:2022年6月
二、英文文獻
Accenture (2022). Shopping on Social Media Platforms Expected to Reach $1.2 Trillion Globally by 2025. Retrieved from https://newsroom.accenture.com/news/shopping-on-social-media-platforms-expected-to-reach-1-2-trillion-globally-by-2025-new-accenture-study-finds.htm on June, 2022.
Adler, P. S., & Kwon, S. W. (2002). Social capital: Prospects for a new concept. Academy of Management Review, 27(1), 17-40.
Bae, S. and Lee, T. (2011) Gender Differences in Consumers’ Perception of Online Consumer Views. Electronic Commerce Research, 11, 201-214.
Bandura, A (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
Chen, J., & Shen, X. L. (2015). Consumers` decisions in social commerce context: An empirical investigation. Decision Support Systems, 79, 55-64.
Cho Y., Cramer RA., Kim KH., Davis J., Mitchell TK., Figuli P., Pryor BM., Lemasters E., Lawrence CB,. (2007). The Fus3/Kss1 MAP kinase homolog Amk1 regulates the expression of genes encoding hydrolytic enzymes in Alternaria brassicicola. 44, 543–553.
Cho, N., Li, G.Z. and Su, C.-J. (2007). An empirical study on the effect of individual factors on knowledge sharing by knowledge type, Journal of Global Business & Technology, 3(2), 1-15.
Comrey, A. L. (1973). A first course in factor analysis. New York, NY: Academic Press.
Crocker, J., & Canevello, A. (2008). Creating and undermining social support in communal relationships: The role of compassionate and self-image goals. Journal of Personality and Social Psychology, 95(3), 555–575.
Curry, O., Roberts, S.G.B. and Dunbar, R.I.M. (2013). Altruism in social networks: evidence for a `Kinship Premium`, British Journal of Psychology, 104(2), 283-295.
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. Electronic Markets, 24(4), 269-284.
Datareportal (2022). Digital Taiwan: 2022. Retrieved from https://datareportal.com/reports/digital-2022-taiwan on April, 2022.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Dholakia, U. M., Bagozzi, R. P., and Pearo, L. K. (2004). A social influence model of consumer participation in network-and small-group-based virtual communities. International Journal of Research in Marketing, 21(3), 241-263.
Farivar, S., Turel, O., & Yuan, Y. (2018). Skewing users’ rational risk considerations in social commerce: An empirical examination of the role of social identification. Information & Management, 55(8), 1038-1048.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Hair, J. F., Anderson, R. E., Tatha, R. L., & Black, W. C. (1992). Multivariate Data Analaysis (3rd ed.). Macmillan New York.
Hair, J. F., W.C. Black, B.J. Babin, and R.E. Anderson (2010). Multivariate data analysis (7th ed.). NJ, Englewood Cliffs, NJ, Prentice Hall.
Hajli, N., Sims, J., Zadeh, A. H., & Richard, M. O. (2017). A social commerce investigation of the role of trust in a social networking site on purchase intentions. Journal of Business Research, 71, 133-141.
Heath, T., Motta, E., Petre, M. (2006): Person to Person Trust Factors in Word of Mouth Recommendation. In: Proc. CHI2006 Workshop on Reinventing Trust, Collaboration, and Compliance in Social Systems. Available from http://www.cs.ucl.ac.uk/reinvent06/
Horng, S. M. (2016). A study of active and passive user participation in virtual communities. Journal of Electronic Commerce Research, 17(4), 289-311.
Hsu, C.-L., and Lin, J.C.-C. (2008). Acceptance of blog usage: The role of technology acceptance, social influence and knowledge-sharing motivation, Information & Management, 45(1), 65-74.
Hu, M., Zhang, M., & Luo, N. (2016). Understanding participation on video sharing communities: The role of self-construal and community interactivity. Computers in Human Behavior, 62, 105-115.
Huizingh, E. K. R. E. (2000). The Content and Design of Web Sites: an Empirical Study. Information and Management, 123-134.
Janda, S (2008). Does gender moderate the effect og online concerns on purchase likelihood? Journal of Internet Commerce, 7(3), 339-358.
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.
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.
Kankanhalli, Q., Tan, B.C.Y. and Wei, K-K. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation, MIS Quarterly, 29(1), 113-143.
Keshab. N., Sourish. D., & Subhash B. (2014). Web1.0 to Web3.0 – Evolution of the Web and its Various Challenges. 6(8), 1-5.
Kim, M. J., Lee, C. K., & Bonn, M. (2016). The effect of social capital and altruism on seniors` revisit intention to social network sites for tourism-related purposes. Tourism Management, 53, 96-107.
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
Ko, H. C. (2018). Social desire or commercial desire? The factors driving social sharing and shopping intentions on social commerce platforms. Electronic Commerce Reasearch and Applications, 28, 1-15.
Koh, J. and Kim, Y.G. (2003). Sence of virtual community: A conceptual framework and empirical validation, International Joural of Electronic Commerce, 8(2), 75-93.
Kollock, P. (1999). The economics of online cooperation: Gifts and public goods in cyberspace. Communities in Cyberspace, 239.
Lee, K.O and Turban, E. (2001). ‘‘A Trust Model for Consumer Internet Shopping,’’ International Journal of Electronic Commerce, 6 (1): 75-91.
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.
Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always such a good thing? Implications of definition, person, and situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31(4), 52-64.
Mamonov, S., & Benbunan-Fich, R. (2017). Exploring factors affecting social e-commerce service adoption: The case of Facebook Gifts. International Journal of Information Management, 37, 590-600.
McConnell, K. E. (1997). Does altruism undermine existence value? Journal of Environmental Economics and Managementm, 32(1), 22-37.
Molinillo, S., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2020). Analyzing the effect of social support and community factors on customer engagement and its impact on loyalty behaviors toward social commerce websites. Computers in Human Behavior, 108, 105980.
Nahapiet, J. and Ghoshal, S. (1998). Social capital and the organizational advantage, Academy of Management Review, 23(2), 242-266.
NapolenCat (2021). Instagram users in Taiwan 2021. Retrieved from https://napoleoncat.com/stats/instagram-users-in-taiwan/2021/01/ on June, 2022.
Nunnally, J. C., (1978), Psychometric Theory, New York: McGraw-Hill.
Pelaprat, E., & Brown, B (2012). Reciprocity: Understanding online social relations. First Monday, 17(10).
Porter, C.E., and Donthu, N. (2008). Cultivating trust and harvesting value in virtual communities, Management Science, 54(1), 113-128.
Putnam, R. D. (2001). Bowling alone: The collapse and revival of American community. Simon and Schuster. New York.
Shaefer, C., Coyne, J. C., & Lazarus, R. S. (1981). The health-related functions of social support. Journal of Behavioral Medicine, 4(4), 381-406.
Shen, X. L., Li, Y. J., Sun, Y., Chen, Z., & Wang, F. (2019). Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest. Information & Management, 56(2), 294-305.
Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their imact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191-204.
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 qualitu. MIS Quarterly, 37(1), 77-109.
Van der Heijden, Verhagen, H., T. and Greemers, M. (2003). Understanding online purchase intention: contributions from technology and trust perspectives, European Journal of Information System, 12(1), 41-48.
Venkatesh, V., & Davis, F. (1994). Modeling the determinants of perceived ease of use. ICIS 1994 Proceedings, 17.
Wamba, S. F., Bhattacharya, M., Trinchera, L., & Ngai, E. W. (2017). Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity. International Journal of Information Management, 37(2), 1-13.
Wasko, M.M., and Faraj, S. (2005). Why should i share? Examining social capital and knowledge contribution in electronic networks of practice, MIS Quarterly, 29(1), 35-57
Yang, Z., & Jun, M. (2002). Consumer perception of e-service quality: from internet purchaser and non-purchaser perspectives. Journal of Business strategies, 19(1), 19-42.
Zhang, H., Lu, Y., Gupta, S., & Zhao, L. (2014). What motivates customers to participate in social commerce? The impact of technological environments and virtual customer experiences. Information & Management, 51(8), 1017-1030. |
Description: | 碩士 國立政治大學 企業管理研究所(MBA學位學程) 109363092 |
Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0109363092 |
Data Type: | thesis |
DOI: | 10.6814/NCCU202200667 |
Appears in Collections: | [企業管理研究所(MBA學位學程)] 學位論文
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