RELATIONSHIP BETWEEN SOCIAL NETWORKS ADOPTION AND SOCIAL INTELLIGENCE

Semseddin Gunduz

Abstract


The purpose of this study was to set forth the relationship between the individuals’ states to adopt social networks and social intelligence and analyze both concepts according to various variables. Research data were collected from 1145 social network users in the online media by using the Adoption of Social Network Scale and Social Intelligence Scale during the summer, 2015. Status of the participants to adopt social networks was medium, and their social intelligence states were at a high level. There was no relationship between the adoption of social networks and social intelligence states and the gender of the participants. Adoption of social networks and social intelligence levels of university graduates were significantly higher than primary school graduates. Social information process and social skill sub-dimensions located in the Social Intelligence Scale has a significant positive correlation with all sub-dimensions except social impact sub-dimension of Social Networks Adoption Scale (usefulness, ease of use, facilitating conditions, community identity). There is a significant positive relationship between the social network adoption levels of individuals and the level of social intelligence. Social intelligence in general, can explain the 2.25% of social network adoption situation.

 

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Keywords


social network adoption, social intelligence, social network users

References


Akyazi, E., & Tutgun Unal, A. (2013). Purpose, Adoption and Level of Loneliness Relation and the Use of Social Networks: A Study on Undergraduate Communication Students. Global Media Journal, 3(6), 1-24.

Bruque, S., Moyano, J., & Eisenberg, J. (2008). Individual adaptation to IT-induced change: The role of social networks. Journal of Management Information Systems, 25(3), 177-206. doi:10.2753/MIS0742-1222250305

Choi, N.G., & DiNitto, D.M. (2013). Internet use among older adults: association with health needs, psychological capital, and social capital. Journal of Medical Internet Research, 15(5). doi:10.2196/jmir.2333

Corrocher, N. (2011). The adoption of Web 2.0 services: An empirical investigation. Technological Forecasting and Social Change, 78(4), 547–558. doi:10.1016/j.techfore.2010.10.006

Dogan, T., & Cetin, B. (2009). The validity, reliability and factorial structure of the Turkish version of the Tromso social intelligence scale. Kuram ve Uygulamada Eğitim Bilimleri, 9(2), 691-720.

Dogan, T., Totan, T., & Sapmaz, F. (2009). Self-esteem and social intelligence in university students. Sakarya Üniversitesi Eğitim Fakültesi Dergisi, 17, 235-247.

Donohue, L.K. (2015). The dawn of social intelligence (SOCINT). Drake Law Review, 63, No. 1061, Available at SSRN: http://ssrn.com/abstract=2693689

Dursun, O.O., & Cuhadar, C. (2015). Cognitive absorption levels of social network users. Trakya Üniversitesi Sosyal Bilimler Dergisi, 17(1), 241-253.

Geczy, P., Izumi, N., Hasida, K., Mori, A., Eto, K., & Hirano, S. (2014). Social intelligence technologies: menace or aid?. The International Journal of Science in Society. 5, 47-56.

Gulcan, Z., Vurgun, S., Gurdin, B., & Akpinar, G.M. (2015). Vocational high school students and social networks: comparison of Nazilli, Atça and Kuyucak vocational high schools. Electronic Journal of Vocational Colleges, 4. UMYOS Special Volume. 164-172.

Habib, S., Saleem, S., & Mahmood, Z. (2013). Development and validation of social intelligence scale for university students. Pakistan Journal of Psychological Research, 28(1), 65-83.

Hancer, M., & Tanrisevdi, A. (2003). The concept of empathy and performance as an aspect of social intelligence. C.U. Sosyal Bilimler Dergisi, 27(2), 213-227.

Hoy, M.G., & Milne, G. (2010). Gender differences in privacy-related measures for young adult Facebook users. Journal of İnteractive Advertising, 10(2), 28-45. doi:10.1080/15252019.2010.10722168

Huang, W.D., Hood, D.W., & Yoo, S.J. (2012). Gender divide and acceptance of collaborative Web 2.0 applications for learning in higher education. The İnternet and Higher Education, 16, 57–65. doi:10.1016/j.iheduc.2012.02.001

Ilhan, M., & Cetin, B. (2014). An investigation of the relationship between social and cultural intelligence through structural equation model. Turkish Journal of Education, 3(2), 4-15.

Joseph, C., & Lakshmi, S.S. (2010). Social intelligence, a key to success. The İUP Journal of Soft Skills, 4(3), 15-21.

Kabilan, M.K., Ahmad, N., & Abidin, M.J.Z. (2010). Facebook: An online environment for learning of English in institutions of higher education?. The İnternet and Higher Education, 13(4), 179–187. doi:10.1016/j.iheduc.2010.07.003

Kocak Usluel, Y., Kokoc, M., Cirali Sarica, H., & Mazman Akar, S.G. (2016). English version of Social Networks Adoption Scale: A validation study. Telematics and İnformatics 33, 484–492. doi:10.1016/j.tele.2015.10.007

Li, Y.M., Chen, H.M., Liou, J.H., & Lin, L.F. (2014). Creating social intelligence for product portfolio design. Decision Support Systems 66, 123–134. doi:10.1016/j.dss.2014.06.013

Marlowe, H.A. (1986). Social intelligence evidence for multidimensionality and construct independence, Journal of Educational Psychology, 78, 52-58.

Ozgur, H. (2013). Investigation the relationship between adoption and use of social networks in educational context in terms of various variables. Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi (DÜSBED), 5(10), 169, 182.

Ozturk, M., & Akgun, Ö.E. (2012). Unıversity students’ purposes in using social networking sites, and their opinions on using these sites ın education. Sakarya University Journal of Education, 2(3), 49-67.

Peng, G., & Mu, J. (2011). Technology adoption in online social networks. Journal of Product İnnovation Management, 28, 133–145. doi:10.1111/j.1540-5885.2011.00866.x

Putzke, J., Fischbach, K., Schoder, D., & Gloor, P.A. (2014). Cross-cultural gender differences in the adoption and usage of social media platforms – An exploratory study of Last.FM. Computer Networks, 75(B), 519–530. doi:10.1016/j.comnet.2014.08.027

Rahim, M.A. (2014). A structural equations model of leaders’ social intelligence and creative performance. Creativity and İnnovation Management, 23(1), 44-56. doi:10.1111/caim.12045

Rahim, M.A., Civelek, I., & Liang, F.H. (2015). A model of department chairs’ social and faculty members’ turnover intention, İntelligence, 53, 65-71. doi:10.1016/j.intell.2015.09.001

Reychav, I., Ndicu, M., & Wu, D. (2016). Leveraging social networks in the adoption of mobile technologies for collaboration. Computers in Human Behavior, 58, 443-453.

Silvera, D.H., Martinussen, M., & Dahl, T.I. (2001). The Tromso Social İntelligence Scale, a self-report measure of social intelligence. Scandinavian Journal of Psychology, 42, 313-319.

Tanriverdi, H., & Sagir, S. (2014). The impact of high school students’ intentions in the use of social media and the way of their adoption of social media on their success. Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(18), 775-822. doi:10.14520/adyusbd.849

Usluel, Y.K., & Mazman, S.G. (2009). Social Networks Adoption Scale. Eğitim Bilimleri ve Uygulama Dergisi, 8(15), 137-157.

Uzamaz, F. (2000). Social skills and evaluation methods in adolescent. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 6(6), 49-58.

Vosner, H.B., Bobek, S., Kokol, P., & Krecic, M.J. (2015). Attitudes of active older İnternet users towards online social networking. Computers in Human Behavior, 55(A), 230–241. doi:10.1016/j.chb.2015.09.014




DOI: http://dx.doi.org/10.46827/ejes.v0i0.734

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