تحلیل نقش هویت اجتماعی کاربران در واکنش نسبت به برند با تأکید بر نقش شبکه‌های اجتماعی (مورد مطالعه: دانشجویان تحصیلات تکمیلی دانشگاه تهران)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه مدیریت رسانه و ارتباطات کسب‌وکار، دانشکده مدیریت کسب‌وکار، دانشکدگان مدیریت، دانشگاه تهران، تهران، ایران.

2 استادیار، گروه مدیریت بازرگانی و کارآفرینی، دانشکده مدیریت و حسابداری، دانشکدگان فارابی، دانشگاه تهران، تهران، ایران.

3 کارشناس ارشد، گروه مدیریت رسانه و ارتباطات کسب‌وکار، دانشکده مدیریت کسب‌وکار، دانشکدگان تهران، دانشگاه تهران، تهران، ایران.

10.22059/mmr.2024.370646.1073

چکیده

هدف: هویت اجتماعی آن قسمت از برداشت شخصی از خود است که از شناخت فرد از عضویتش در یک گروه یا گروه‌های اجتماعی، به همراه ارزش و شاخص‌های احساسی‌ای که با این عضویت همراه شده باشد، نشئت می‌گیرد. هویت اجتماعی کاربران، بر تمایلات رفتاری آن‌ها در شبکه‌های اجتماعی، نقش و تأثیرگذاری چشمگیری دارد. در این راستا، هدف اساسی این پژوهش، تحلیل نقش هویت اجتماعی کاربران در واکنش به برند با تأکید بر نقش میانجی اشاعه تبلیغات شفاهی الکترونیکی و استفاده از شبکه‌های اجتماعی تعیین شده است.
روش: مدل پژوهش بر اساس مطالعه وانگ (۲۰۱۷) و جورج و همکاران (۲۰۱۳) است. جامعه آماری پژوهش، کلیه دانشجویان تحصیلات تکمیلی دانشگاه تهران، در سال تحصیلی ۱۳۹۸ تا ۱۳۹۹ بوده است. به‌منظور جمع‌آوری داده‌ها با استفاده از روش نمونه‌گیری طبقه‌ای متناسب با حجم، از ۴۴۸ نفر نمونه‌گیری به عمل آمد. داده‌های پژوهش از طریق پرسش‌نامه جمع‌آوری و با استفاده از مدل معادلات ساختاری و آزمون سوبل با به‌کارگیری نرم‌افزارهای اس‌پی‌اس‌اس ۱۸ و لیزرل 54/8 تحلیل شد.
یافته‌ها: نتایج نشان داد: الف. هویت اجتماعی (عاطفی، شناختی، ارزیابانه) کاربران، بر استفاده از شبکه‌های اجتماعی مؤثر است؛ ب. هویت اجتماعی (عاطفی، شناختی، ارزیابانه) کاربران، بر اشاعه تبلیغات شفاهی الکترونیکی مؤثر است؛ ج. هویت اجتماعی (عاطفی، شناختی، ارزیابانه) کاربران، بر واکنش به (قصد خرید) برند مؤثر است؛ د. استفاده از شبکه‌های اجتماعی، در اثرگذاری هویت اجتماعی (عاطفی، شناختی، ارزیابانه) کاربران بر قصد خرید برند نقش میانجی ایفا می‌کند؛ ﻫ. اشاعه تبلیغات شفاهی الکترونیکی در اثرگذاری هویت اجتماعی (عاطفی، شناختی، ارزیابانه) کاربران، بر قصد خرید برند نقش میانجی ایفا می‌کند.
نتیجه‌گیری: هویت اجتماعی به ویژگی‌هایی اشاره دارد که یک جامعه را از جوامع دیگر متمایز می‌کند. این مقوله که با ورود شبکه‌های اجتماعی مجازی، دچار تحولات عمده‌ای شده است، بیش از هر گروهی، در ارتباط با جوانان اهمیت می‌یابد؛ چرا که جوانی، مرحله تکوین هویت مستقل و استقلال‌یابی آنان است. هویت اجتماعی در تعاملی دوسویه با رسانه‌های اجتماعی، کنش‌های مصرف‌کنندگان جوان را نسبت به برندها تحت تأثیر قرار می‌دهد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Analyzing the Role of Users’ Social Identity in Reaction towards Brand Implying on the Role of Social Networks (Case of Higher Education Students in University of Tehran)

نویسندگان [English]

  • Seyed Mehdi Sharifi 1
  • Mohammad Reza Jalilvand 2
  • Fatemeh Abedi 3
1 Associate Prof., Department of Media Management, Faculty of Business Management, University of Tehran, Tehran, Iran.
2 Assistant Prof., Department of Business Management and Entrepreneurship, Faculty of Management and Accounting, College of Farabi, University of Tehran, Tehran, Iran.
3 MSc., Department of Media Management, Faculty of Business Management, University of Tehran, University of Tehran, Tehran, Iran.
چکیده [English]

Objective
Based on statistics and predictions, it has been determined that by 2025, the number of social network users will reach 4.4 billion people. The average duration of users' use of social networks is about 144 minutes per day. This trend, which has caused a change in consumer behavior due to the potential of social media to attract users, is well-known by marketers. The importance of examining social networks doubles as a tool that people in different groups or demographics, whether consciously or unconsciously, are involved in for many hours of the day; because people's social identity is formed by the norms of these groups, and based on their social identity, people decide to engage in different social networks and rely on this social identity to determine their usage of social networks, and finally, according to consumer behavior, people's reactions to brands are formed. It is worth mentioning that so far, few studies have examined these relationships and there is a research gap in this regard. This research seeks to help and complete the literature in this field. According to what has been stated, the research question is raised as follows: Does the social identity of the users affect the reaction to the brand regarding the use of electronic word-of-mouth advertising in social networks?
 
 
Research Methodology
The research model is based on the studies of Wang (2017) and George et al. (2013). From the perspective of research philosophy, the current research is positivist (environmental authenticity). The survey strategy has been taken to investigate the causal relationships between the research variables. The statistical population of the research included all graduate students of Tehran University in the academic year 2018-2019. In order to collect data, 448 people were sampled using the stratified sampling method according to the volume. The tool for collecting data from the statistical sample was a standard questionnaire. The questions were designed based on the scales considered for social identity constructs (emotional, cognitive, and evaluative), user's willingness to buy the brand, use of social networks, and spread of electronic word of mouth. The questionnaire consisted of 21 questions, which were designed based on the questionnaires of previous studies and adjusted according to the purpose of the research, forming the foundation of the work. A five-point Likert scale was used to measure the research variables.
Findings
The results showed that: a. The social identity (emotional, cognitive, evaluative) of users is effective in the use of social networks; b. The social identity (emotional, cognitive, evaluative) of users is effective on the spread of electronic word of mouth advertisements; c. The social identity (emotional, cognitive, evaluative) of users is effective on the reaction to (purchase intention) of the brand; d. The use of social networks plays a mediating role in influencing the social identity (emotional, cognitive, evaluative) of users on the brand purchase intention; e. The spread of electronic word-of-mouth advertising plays a mediating role in influencing the social identity (emotional, cognitive, evaluative) of users on the intention to buy a brand.
Discussion & Conclusion
Based on the findings, suggestions can be made to social media managers and digital marketers: First, it is suggested that the managers of social networks, by providing unique facilities and features for users, create favorable feelings in them and a sense of emotional belonging and dependence on the network. This work can be achieved through measures such as easy and wide access, and also by using data analysis, it is possible to gain more knowledge about the interests of the audience and, accordingly, create more facilities and access in the social network. Second, it is suggested that managers of social networks create a favorable mental image in the minds of their users so that they feel more aligned between their personal identity and what is perceived by other users in social networks. This can be done through measures such as creating a safe space in the network, after which users share their real identity. This process leads to the feeling of alignment of the audience's identity with the social network. Third, it is suggested that managers of social networks seek to create a sense of importance in their network members. This work can be done through measures such as using users as opinion leaders and playing the role of influencers by them, arranging the influence of users' opinions to improve the level of satisfaction in the social network. Fourth, it is suggested that digital marketing managers should create dynamic, attractive, and useful advertising content for social network users. Additionally, they can take actions such as considering the needs of users in using networks, such as the need for entertainment, the need for knowledge and information, etc., in content production, involving users in the production of the content.

کلیدواژه‌ها [English]

  • Social network
  • Social identity
  • Electronic word of mouth advertising
  • Brand reaction
Abrams, J. R. & Giles, H. (2007). Ethnic identity gratifications selection and avoidance by African Americans: A group vitality and social identity gratifications perspective. Media Psychology, 9(1), 115–134.
Bagozzi, R. P. & Dholakia, U. M. (2002). Mustering motivation to enact decisions: How decision process characteristics influence goal realization. Journal of Behavioral Decision Making, 15(3), 167–188.
Bagozzi, R. P. (2001). Decisions to donate bone marrow: The role of attitudes and subjective norms across cultures. Psychology & Health, 16(1), 29–56.
Bennet, S. (2015, January 27). 28% of Time spent online is social networking. AdWeek.com
Boyd, D.M. & Ellison, N.B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210–230.
Cerruto, F., Cirillo, S., Desiato, D., Gambardella, S.M. & Polese, G. (2022). Social network data analysis to highlight privacy threats in sharing data. Journal of Big Data, 9(19). https://doi.org/10.1186/s40537-022-00566-7
Chan, M. (2014). Social identity gratifications of social network sites and their impact on collective action participation. Asian Journal of Social Psychology, 17, 229–235.
Chan, M. (2017). Media Use and the Social Identity Model of Collective Action: Examining the Roles of Online Alternative News and Social Media News. Journalism & Mass Communication Quarterly, 20, 1–19.
Chatterjee, P. (2011). Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising, 30(1), 77–101.
Cheung, C.M.K. & Lee, M.K.O. (2010). A theoretical model of intentional social action in online social networks. Decision Support Systems, 49, 24-30.
David, A., Eisenstein, J. & Schnoebelen, T. (2014). Gender identity and lexical variation in social media. J Sociolinguistics, 18, 135-160. 
Dholakia, U.M., Bagozzi, R.P. & 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, 241-263.
DiChristopher, T. (2015). Why facebook's ad revenue can keep growing: Analysts. Retrieved from: http://www.cnbc.com/2015/11/05/why-facebooks-ad-revenue-can-keep-growing-analyst.html
Haddad, C. (2015). Why some 13-year-olds check social media 100 times a day. Retrieved from: http://edition.cnn.com/2015/10/05/health/being-13-teens-social-media-study/index.html
Harwood, J. (1999). Age identification, social identity gratifications and television viewing. Journal of Broadcasting & Electronic Media, 43, 123–136.
Jalilvand, M. R. & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4), 460 – 476.
Jalilvand, M. R. & Samiei, N. (2012). The Impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behavior (TBP). Internet Research, 22(5), 591-612.
Jalilvand, M. R., Samiei, N., Dini, B. & Yaghoubi Manzari, P. (2012). Examining the structural relationships of electronic word of mouth, destination image, attitudes toward destination and travel intention: An integrated approach. Journal of Destination Marketing & Management, 1(1-2), 134-143.
Johnson, P.A., Sieber, R.E., Magnien, N. & Ariwi, J. (2012). Automated web harvesting to collect and analyse user-generated content for tourism. Current Issues in Tourism, 15(3), 293-299.
Jorge, A. G., Francisco, J. R. & Patricio, E. R. (2013). Social identity, electronic word-of-mouth and referrals in social network services, Kybernetes, 42(8), 1149-1165.
Kee, R. & Valenzuela, S. (2014). Unpacking the use of social media for protest behavior: The roles of information, opinion expression, and activism. American Behavioral Scientist, 57(7), 920-942.
Kwon, O. & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254–263.
Lam, S. K., Ahearne, M. & Hu, Y. (2010). Resistance to brand switching when a radically new brand is introduced: A social identity theory perspective. Journal of Marketing, 74(6), 128-146.
Lin, K. Y. & Lu, H. P. (2011). Intention to continue using Facebook fan pages from the perspective of social capital theory. Cyber Psychology, Behavior & Social Networking, 14, 565e570.
Okazaki, S. (2015). Social influence model and electronic word of mouth. International Journal of Advertising, 28(3), 439–472.
Park, J. & Feinberg, R. (2010). E formity: consumer conformity behaviour in virtual communities. Journal of Research in Interactive Marketing, 4(3), 197-213. 
Perugini, M. & Bagozzi, R. P. (2002). The role of desires and anticipated emotions in goal-directed behaviours: Broadening and deepening the theory of planned behaviour. British Journal of Social Psychology, 40(1), 79–98.
Trusov, M., Bucklin, R. E. & Pauwels, K. H. (2008). Effects of word-of-mouth versus traditional marketing: findings from an internet social networking site. Robert H. Smith School Research Paper No. RHS 06-065, Available at SSRN: https://ssrn.com/abstract=1129351 or http://dx.doi.org/10.2139/ssrn.1129351
Valentino, N. A., Brader, T., Groenendyk, E. W., Gregorowicz, K. & Vincent L. H. (2011). Election night’s alright for fighting: The role of emotions in political participation. The Journal of Politics, 73(1), 156-170.
van Zomeren, M., Saguy, T. & Schellhaas, F. M. H. (2013). Believing in “making a difference” to collective efforts: Participative efficacy beliefs as a unique predictor of collective action. Group Processes & Intergroup Relations, 16(5), 618-634.
Wallace, E. (2015). Brand tribalism and self-expressive brands: social influences and brand outcomes. Journal of Product & Brand Management, 24(4), 333-348.
Wang, T. (2017). Social identity dimensions and consumer behavior in social media. Asia Pacific Management Review, 22(1), 45-51.
Wang, T. (2017). Social identity dimensions and consumer behavior in social media, Asia Pacific Management Review, 22, 45-51.
Zhou, T. (2011). An Empirical Examination of Initial Trust in Mobile Banking. Internet Research, 21, 527-540.