Studying the Link of Social Networks with Intention to Read: A research based on the theory of consumer culture

Document Type : مقالات پژوهشی

Authors

• Mojtaba Kaffashan Kakhki
• Shole Arastopor
• Nariman kashefi
• yaser Asemanm Doreh

Ferdowsi Universiry of Mashhad

10.22067/riis.v0i0.70876

Abstract

Introduction: The per capita reading is seen as one of the key indicators for the evaluation, growth and development of societies. Therefore, it is reasonable to consider how to take advantage of modern technologies to increase per capita book-reading. Given the importance and spread of social networks, this study aims to examine the factors that affect intention to read in social networks. The consumer culture theory was used to assess the adaptation of variables under study.
Methodology: This research was undertaken by using a descriptive-survey method. After extracting some of the major determinants of the study in the social media environment based on the exploratory study, the conceptual model of the research was designed. Following the assessment of validity and reliability of the questionnaire, 400 questionnaires were distributed among students of Ferdowsi University of Mashhad using stratified sampling method, out of which 366 questionnaires were used for the data analysis. Structural equation method was used for data analysis.
Findings: In this study, all the seven hypotheses tested were approved. The results of path analysis indicated that factors such as the reliability of sources, the argument quality and issues raised, reviewers of cyberspace and Para-social Interaction had the highest to lowest impact on the intention to read, respectively. Also, two factors of source credibility and the number of followers revealed the greatest level of synergy in both groups of non-peers and reviewers. Also, subjects were more reliant on comments made by strangers and reviewers than were on comments made by acquaintances, and these comments were in turn strongly motivated by factors such as the credibility of resources, number of followers, and in particular, the social interactions of reviewers.
Conclusion: The results of this study showed that concepts of consumer culture theory were adaptable to the intention to read in social networks. Therefore, promoting a reading culture via cyberspace is underpinned by several factors such as the quality of captions, comments or hashtags, positive or negative comments about a scientific work, number of likes on pages, inclusion of comments by renowned figures as well as the comments made by friends and strangers and the number of likes, comments, or followers, which can in turn influence the positive or negative judgment of people about a post and ultimately the intention to read that post. Accordingly, relevant authorities should pay particular attention to these factors in order to exploit cyberspace capabilities for the introduction of scientific works such as books or other readable and useful resources. In cyberspace, pages that are particularly dedicated to introduction of specialized and scientific books or other works should take into account all of the above points and their upshots. In this case, we can hope that some steps for the development of the culture of reading and its encouragement in society are taken.

Keywords

• Social networks
• Instagram
• intention to read
• consumer culture theory

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References

ساروخانی، باقر. (1391). جامعه‌شناسی نوین ارتباطات: رسانه‌ها در جهان امروز. تهران: انتشارات اطلاعات.

گرونو، یوکا. (1392). جامعه‌شناسی سلیقه. ترجمه مسعود کیانپور. تهران: مرکز.

امانی، غفور. (1378). بررسی وضعیت موجود کتابخانه‌های مدارس استان اردبیل و میزان گرایش دانش آموزان به مطالعه کتب غیردرسی. تحقیقات اطلاع‌رسانی و کتابخانه‌های عمومی، 35(9)، 30–38. بازیابی از http://www.noormags.ir/view/fa/articlepage/924991

سامانیان، مصیب. (1376). بررسی نقش آموزش و پرورش و مدارس در آموزش و ترویج مطالعه و کتابخوانی بین دانش آموزان. تحقیقات اطلاع‌رسانی و کتابخانه‌های عمومی، 27(7)، 34–39. بازیابی شده در 14 اسفند 1396 از http://www.noormags.ir/view/fa/articlepage/396578

سلطانی، پوری. (1356). در ستایش کم خوانی. نامه انجمن کتابداران ایران، 39(10)، 243–250. بازیابی از http://www.noormags.ir/view/fa/articlepage/55649

صافی، قاسم. (1379). تأثیر کتابخانه‌های عمومی در گسترش فرهنگ مطالعه. تحقیقات کتابداری و اطلاع‌رسانی دانشگاهی، 32(34)، 5–14. بازیابی از http://www.ensani.ir/fa/content/191327/default.aspx

قناویزچی، محمدعلی؛ و داورپناه، محمدرضا. (1386). بررسی عوامل تسهیل‌کننده و بازدارنده مطالعه و رابطه نگرش به مطالعه و کتاب‌خوانی با الگوی انگیزشی مزلو. فصلنامه کتابداری و اطلاع‌رسانی، 10(4)، 89–110. بازیابی از http://lis.aqr-libjournal.ir/article_43868.html

کاتبی، صدیقه. (1351). بررسی عادات و علاقه دانشجویان به مطالعه (کارشناسی ارشد علوم کتابداری و اطلاع‌رسانی). دانشگاه تهران، دانشکده علم تربیتی، تهران. بازیابی از https://ganj-old.irandoc.ac.ir/articles/2083

کیانی، حسن؛ رضایی شریف‌آبادی، سعید؛ و سام، شهلا. (2010). بررسی وضعیت مطالعه زنان شاغل و خانه‌دار شهر شیراز. فصلنامه کتابداری و اطلاع‌رسانی، 13(1)، 133–150. بازیابی از

http://lis.aqr-libjournal.ir/article_43552.html

محسنی کبیر، طاها. (1377). روش ترویج و ایجاد عادت به مطالعه در کودکان، نوجوانان، دانشجویان و خانواده. تحقیقات کتابداری و اطلاع‌رسانی دانشگاهی، (28-29)، 137–144. بازیابی از

https://jlib.ut.ac.ir/article_12560.html

Bae S, Lee T. (2011). Gender differences in consumers’ perception of online consumer reviews. Electronic Commerce Research, 11(2), 201–214.

Bagozzi, R. (1975). Marketing as Exchange. Journal of Marketing, 39(4), 32-39.

Ballantine, PW. and Martin, BAS. (2005). Forming Parasocial Relationships in Online Communities, in NA - Advances in Consumer Research Volume 32, eds. Geeta Menon and Akshay R. Rao, Duluth, MN: Association for Consumer Research, 197-201.

Belk, Russell W. (1988), Possessions and the Extended Self. Journal of Consumer Research, 15 (September), 139–68.

Bhattacherjee, A., Sanford, C. (2006). Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model. MIS Quarterly, 30(4), 805-825.

Bickart, B, Schindler. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40.

Cousineau A, Burnkrant, RE. (1975). Informational and Normative Social Influence in Buyer Behavior. Journal of Consumer Research, 2(3), 206–215.

Childers, TL., Akshay, RR. (1992). The Influence of Familial and Peer-based Reference Groups on Consumer Decisions. Journal of Consumer Research, 19(2), 198–211.

Chevalier, J., Mayzlin, D. (2006). The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research. 43(3), 345-354.

Cortese, J., Am Rubin. (2010). Uses and Gratifications of Television Home Shopping. tlantic Journal of Communication, 18(2). 89-109.

Dahl, S. (2015). Social Media Marketing: Theories and Applications. Los Angeles: Sage Publications.

Deighton, J., Grayson, K. (1995). Marketing and Seduction: Building Exchange Relationships by Managing Social Consensus. Journal of Consumer Research, 21(4), 660–676.

Drozdenko, R., Jensen, M., Coelho, D. (2012). Examining consumer online search behavior: websites, products, benefits and consumer characteristics. International Journal of Business, Marketing, & Decision Science, 5 (1), 94–109.

Eagly, AH., Chaiken, S. (1993). The psychology of attitudes. Orlando, FL: Harcourt Brace Jovanovich College.

Fishbein, M., Ajzen, I. (1977, April 1). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, MA 10, 130-132.

Fogg, BJ., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., Paul, J., Rangnekar, A., Shon, J., Swani, P., Treinen, M. (2001). What makes Web sites credible?: a report on a large quantitative study. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '01). ACM, New York, NY, USA, 61-68.

Fogg, BJ., Marshall, J., Kameda, T., Solomon, J., Rangnekar, A., Boyd, J., Brown, B. (2001). Web credibility research: a method for online experiments and early study results. In CHI '01 Extended Abstracts on Human Factors in Computing Systems (CHI EA '01). ACM, New York, NY, USA, 295-296.

Gambrell, LB. (1996). Creating classroom cultures that foster reading motivation. The reading teacher, 50(1), 14.

Giles, D. (2002). Parasocial Interaction: A Review of the Literature and a Model for Future Research. Media Psychology, 4(3), 279-305.

Goldberg, CB., Allen, DG. (2008). Black and white and read all over: Race differences in reactions to recruitment Web sites. Human Resource Management, 47(2), 217–236.

Goulding, C., Shankar, A., & Canniford, R. (2013). Learning to be tribal: facilitating the formation of consumer tribes. European Journal of Marketing, 47(5/6), 813-832.

Hennig-Thurau, T. P., Gwinner, K., Walsh, G. D., Gremler, D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of Interactive Marketing, 18(1), 38-52.

Hinz, O., Skiera, B., Barrot, C. U., Becker, J. (2011). Seeding Strategies for Viral Marketing: An Empirical Comparison. Journal of Marketing, 75(6), 55-71.

Horton, D., Wohl, RR. (1956). Mass Communication and Para-Social Interaction. Interpersonal and Biological Processes, 19(3), 215-229.

Hoerner, J. (1999). Scaling the web: a parasocial interaction scale for world wide web sites. Advertising and the World Wide Web, 99, 135–147.

Jalilvand, MZ., Samiei, N. (2012). The effect of word of mouth on inbound tourists' decision for traveling to Islamic destinations (the case of Isfahan as a tourist destination in Iran), Journal of Islamic Marketing, 3 (1), 12-21.

Jimenez, FR., Mendoza, NA. (2013). Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products. Journal of Interactive Marketing, 27(3), 226-235.

Johnson, TJ., Kaye, BK. (2002). Webelievability: A Path Model Examining How Convenience and Reliance Predict Online Credibility. Journalism & Mass Communication Quarterly, 79(3), 619-642.

Labrecque, LI. (2014). Fostering Consumer–Brand Relationships in Social Media Environments: The Role of Parasocial Interaction. Journal of Interactive Marketing, 28(2), 134-148.

Lee, T.S.A, Leung, L., Lo, V., Xiong, C., Wu, T. (2011). Internet Communication Versus Face-to-face Interaction in Quality of Life. Social Indicators Research, 100(3), 375–389

Leung, K. (2011). Evolution of Internet Information Consumption through Bookmarking [class project]. Course CS224W: Social and Information Network Analysis. Retrieved 2015-09-21 From: http://snap.stanford.edu/class/cs224w-2011/proj/kkleung_Finalwriteup_v2.pdf

Mangleberg, TF., Doney, PM., Bristol, T. (2004). Shopping with friends and teens’ susceptibility to peer influence. Journal of retailing, 80(2), 101-116.

Marx, K. (1974) Capital. London: Allen and Unwin.

Metzger, MJ., Flanagin, AJB. Medders, R. (2010). Social and Heuristic Approaches to Credibility Evaluation Online. Journal of Communication, 60(3), 413–439.

Ohanian, R. (1991). The impact of celebrity spokespersons' perceived image on consumers' intention to purchase. Journal of Advertising Research, 31(1), 46-54.

Olfa, B., Mzoughi, N., Ghachem, MS., Negra, A. (2010). Online Purchase Intention: Understanding the Blogosphere Effect. journal of e-business, 4(2), 37-51.

Pepitone, J. (2010). Twitter users not so social after all. CNNMoney.com. Retrieved from http://money.cnn.com/2010/03/10/technology/twitter_users_active/index.htm?hpt=Mid.

Petty, RE, Cacioppo, JT, Goldman R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847-855.

Petty, RE, Cacioppo, JT, Heesacker M. (1981). Effects of rhetorical questions on persuasion: A cognitive response analysis. Journal of Personality and Social Psychology, 40(3), 432-440.

Petty, RE., Cacioppo, JT. (1986). The Elaboration Likelihood Model of Persuasion. Advances in Experimental Social Psychology, 19, 123-205.

Puetz, K. (2015), Consumer Culture, Taste Preferences, and Social Network Formation. Sociology Compass, 9, 438–449.

Rabjohn, N, M.K. Cheung C, K.O. Lee M. (2008). Examining the perceived credibility of online opinions: information adoption in the online environment. Published in Hawaii International Conference on System Sciences, Proceedings of the 41st Annual

Reinie, L. (2006). Digital Natives Invade the Workplace. Pew Internet and American Life Project. retrieved from www.pewinternet.org

Sassatelli, R. (2007). Consumer Culture: History, Theory and Politics. London: Sage.

Schau, H J. & Gilly, MC. (2003). We Are What We Post? Self‐ Presentation in Personal Web Space. Journal of Consumer Research, 30 (December), 385–404.

Sen S and Lerman D. (2007). Why are you telling me this? An examination into negative consumer reviews on the Web. Journal of Interactive Marketing, 21(4), 76-94.

Shu SC., Kamal S. (2011) An Investigation of Social Media Usage, Brand Consciousness, and Purchase Intention towards Luxury Products among Millennials. Advances in Advertising Research (Vol. 2) pp 179-190

Smarkola, C. (2008). Efficacy of a planned behavior model: Beliefs that contribute to computer usage intentions of student teachers and experienced teachers. Computers in Human Behavior, 24 (3): 1196-1215.

Smith D, Menon s, Sivakumar K. (2005). Online peer and editorial recommendations, trust, and choice in virtual markets. Journal of Interactive Marketing, 19(3), 15-37.

Spears N, Singh S. (2004). Measuring Attitude toward the Brand and Purchase Intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.

Spence PA, Lachlan KA, Westerman D, A. Spates S. (2013). Where the Gates Matter Less: Ethnicity and Perceived Source Credibility in Social Media Health Messages. Howard Journal of Communications, 24(1), 1-16.

Sridhar S, Srinivasan R. (2012). Social Influence Effects in Online Product Ratings. Journal of Marketing, 76(5), 70-88.

Sundar S and Nass C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52–72.

Sung Y, Kim Y, Kwon O, Moon J. (2010). An explorative study of Korean consumer participation in virtual brand communities in social network sites. Journal of Global Marketing, 23(5), 430-445.

Tong ST, Van Der Heide B, Langwell L, B.Walther. (2008). Too Much of a Good Thing? The Relationship Between Number of Friends and Interpersonal Impressions on Facebook. Journal of Computer-Mediated Communication, 13(3), 531–549.

Tormala Z, E. Petty R, Briñol P. (2002). Ease of Retrieval Effects in Persuasion: A Self-Validation Analysis. Personality and Social Psychology Bulletin, 28(12), 1700-1712.

Tormala Z, E. Petty R, Briñol P. (2006). When credibility attacks: The reverse impact of source credibility on persuasion. Journal of Experimental Social Psychology, 42(5), 684-691.

Trusov M, E. Bucklin R, Pauwels K. (2009). Effects of Word-of-Mouth Versus Traditional Marketing: Findings from an Internet Social Networking Site. Journal of Marketing, 73(5), 90-102.

Wang X, Yu C, Wei Y. (2012). Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework. Journal of Interactive Marketing, 26(4), 198-208.

Xhia L, Bechwati NN. (2008). Word of mouse: the role of cognitive personalization in online consumer reviews. Journal of Interactive Advertising, 9(1), 3-13.

Yoon K, Kim CH, Kim MS. (1998). A Cross-Cultural Comparison of the Effects of Source Credibility on Attitudes and Behavioral Intentions. Mass Communication and Society, 1(3-4), 153-173.

Zhang Z, Li X. (2010). Controversy is Marketing: Mining Sentiments in Social Media. Paper presented at the 43rd Hawaii International Conference on System Sciences (HICSS). pp. 1-10, 2010.