نوآوری های اخیر در روان‌شناسی

نوآوری های اخیر در روان‌شناسی

سرمایه اجتماعی برخط به عنوان پیش بینی کننده شدت استفاده از شبکه‌های اجتماعی: بررسی تغییرناپذیری جنسیتی

نوع مقاله : پژوهشی اصیل

نویسندگان
1 کارشناسی ارشد مدیریت آموزشی، واحد بجنورد، دانشگاه آزاد اسلامی، بجنورد، ایران
2 دانشجوی کارشناسی ارشد روان‌شناسی عمومی، موسسه آموزش عالی بهار، مشهد، ایران
چکیده
این پژوهش با هدف بررسی تغییرناپذیری جنسیتی رابطه سرمایه اجتماعی برخط با شدت استفاده از شبکه‌های اجتماعی انجام شد. یک نمونه شامل 117 نفر (62 زن و 55 مرد) از کاربران ایرانی فیس بوک با روش نمونه‌گیری در دسترس انتخاب شدند و مقیاس سرمایه اجتماعی اینترنتی (ISCS) را تکمیل کردند. جهت تجزیه و تحلیل داده‌ها از تحلیل چندگروهی با رویکرد حداقل مربعات جزئی (PLS-MGA) استفاده شد. میان پیوندسازی، پل بندی و نمره کل سرمایه اجتماعی برخط با شدت استفاده از شبکه اجتماعی رابطه مثبت و معناداری وجود داشت (0/01>P). در کل نمونه و گروه مردان پل بندی اثر بیشتری بر شدت استفاده از شبکه اجتماعی داشت. اما در گروه زنان پیوندسازی نقش بیشتری داشت. مقایسه بین گروهی نیز نشان داد که ضرایب مسیر در میان گروه‌ها تفاوت معناداری ندارند (0/05
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Online Social Capital as a Predictor of Intensity of Use of Social Networking: A Test of Gender Invariance

نویسندگان English

Mohammad Saffari 1
Mona Goshayeshi 2
1 MSc. in Educational Management, Bojnourd Barnch, Islamic Azad University, Bojnourd, Iran.
2 MSc. Student in General Psychology, Bahar Institute of Higher Education, Mashhad, Iran.
چکیده English

The present study aimed to investigate the gender invariance of the relationship between online social capital and intensity of social network use. A sample of 117 Iranian Facebook users (62 females and 55 males) was selected using convenience sampling method and completed the Internet Social Capital Scales (ISCS). Data were analyzed using partial least squares multi-group analysis (PLS-MGA). There was a positive and significant relationship between bonding, bridging and total online social capital and intensity of social network use (P<0.01). For the whole sample and for men, bridging had a greater effect on the intensity of social network use. For women, however, bridging had a stronger effect. The path coefficients are not significantly different between the groups (P<0.05). It seems that online social capital and intensity of social network use have a mutual relationship, and users with higher online social capital use social networks more, and there is no gender difference in this area.

کلیدواژه‌ها English

social capital
social networking
invariance
importance-performance analysis

References

Ahmadi, Y. (2019). The Impact of Types of Social Capital in Social Networks on Types of Political Participation (Case Study: Citizens Aged 18 to up in Sanandaj). Journal of Applied Sociology30(3), 1-22 (In Persian). https://doi.org/10.22108/jas.2019.110615.1366

Bharadiya, J. P. (2023). Artificial intelligence and the future of web 3.0: Opportunities and challenges ahead. American Journal of Computer Science and Technology6(2), 91-96. https://doi.org/10.11648/j.ajcst.20230602.14

Burke, M., & Kraut, R. E. (2016). The relationship between Facebook use and well-being depends on communication type and tie strength. Journal of computer-mediated communication21(4), 265-281. https://doi.org/10.1111/jcc4.12162

Chaffey, D. (2024 1 February). Global social media statistics research summary 2024. Retrieved at 20 February 2024 form Smart Insights. URL: https://www.smartinsights.com/social-media-marketing/s... 

Choi, G., & Chung, H. (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human-Computer Interaction29(10), 619-628. https://doi.org/10.1080/10447318.2012.756333

Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of computermediated communication12(4), 1143-1168. https://doi.org/10.1111/j.1083-6101.2007.00367.x

Grottke, M., Hacker, J. V., & Durst, C. (2018). Which factors determine our online social capital? An analysis based on structural equation modelling. Australasian Journal of Information Systems22. https://doi.org/10.3127/ajis.v22i0.1656

Jackson, L. A., Ervin, K. S., Gardner, P. D., & Schmitt, N. (2001). Gender and the Internet: Women communicating and men searching. Sex roles44, 363-379. https://doi.org/10.1023/A:1010937901821

Jin, Ch. H. (2013b). The perspective of a revised TRAM on social capital building: The case of Facebook usage. Information & Management, 50, 162–168. https://doi.org/10.1016/j.im.2013.03.002

Kermani, H., & Pakdaman, Y. (2016). Examining the Relationship between Iranian Facebook Users Social Capital and their Real Civil Participation. Communication Research, 23 (87), 9-35 (In Persian).  https://doi.org/10.22082/cr.2016.23252

Krasnova, H., Veltri, N. F., Eling, N., & Buxmann, P. (2017). Why men and women continue to use social networking sites: The role of gender differences. The Journal of Strategic Information Systems26(4), 261-284. https://doi.org/10.1016/j.jsis.2017.01.004

Lin, X., & Wang, X. (2020). Examining gender differences in people’s information-sharing decisions on social networking sites. International Journal of Information Management50, 45-56. https://doi.org/10.1016/j.ijinfomgt.2019.05.004

Lin, X., Featherman, M., & Sarker, S. (2017). Understanding factors affecting users’ social networking site continuance: A gender difference perspective. Information & Management54(3), 383-395. https://doi.org/10.1016/j.im.2016.09.004

Liu, D., Ainsworth, S. E., & Baumeister, R. F. (2016). A meta-analysis of social networking online and social capital. Review of General Psychology20(4), 369-391. https://doi.org/10.1037/gpr0000091

Ono, H., & Zavodny, M. (2003). Gender and the Internet. Social science quarterly84(1), 111-121. https://doi.org/10.1111/1540-6237.t01-1-8401007

Phua, J., Jin, S. V., & Kim, J. J. (2017). Uses and gratifications of social networking sites for bridging and bonding social capital: A comparison of Facebook, Twitter, Instagram, and Snapchat. Computers in human behavior72, 115-122. https://doi.org/10.1016/j.chb.2017.02.041

Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon and Schuster. https://psycnet.apa.org/doi/10.1145/358916.361990

Ryan, T., & Xenos, S. (2011). Who uses Facebook? An investigation into the relationship between the Big Five, shyness, narcissism, loneliness, and Facebook usage. Computers in human behavior27(5), 1658-1664. https://doi.org/10.1016/j.chb.2011.02.004

Shaverdi, T. (2017). Social Capital in the Online and Offline Social Networks (The Case Study: Female University Students in Tehran). Quarterly Journal of Social Development (Previously Human Development)11(3), 67-96 (In Persian). https://doi.org/10.22055/qjsd.2017.12825

Steinfield, C., Ellison, N. B., Lampe, C., & Vitak, J. (2013). Online social network sites and the concept of social capital. Frontiers in new media research, 115-131. https://doi.org/10.1016/j.appdev.2008.07.002

Tahlyan, D., Stathopoulos, A., & Maness, M. (2022). Disentangling social capital–Understanding the effect of bonding and bridging on urban activity participation. Transportation research interdisciplinary perspectives15, 100629. https://doi.org/10.1016/j.trip.2022.100629

Tanhaye Reshvanloo, F., Sedaghatee, S., Kareshki, H., & Saeidi Rezvani, T. (2020). Validation of the Persian Version of a Scale for Screening Internet Anxiety in Students. Iranian Journal of Epidemiology, 16 (3), 257-265 (In Persian). URL: https://irje.tums.ac.ir/article-1-6664-en.html

Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205. https://doi.org/10.1016/j.csda.2004.03.005

Thanuskodi, S. (2013). Gender differences in internet usage among college students: A comparative study. Library Philosophy and Practice (e-journal)1052, 1-13. URL: https://digitalcommons.unl.edu/cgi/

Vitak, J., Ellison, N. B., & Steinfield, C. (2011, January). The ties that bond: Re-examining the relationship between Facebook use and bonding social capital. In 2011 44th Hawaii international conference on system sciences (pp. 1-10). IEEE. https://doi.org/10.1109/HICSS.2011.435

Wasserman, I. M., & RichmondAbbott, M. (2005). Gender and the Internet: Causes of variation in access, level, and scope of use. Social science quarterly86(1), 252-270. https://doi.org/10.1111/j.0038-4941.2005.00301.x

Williams, D. (2006). On and Off the ’Net: Scales for Social Capital in an Online Era. Journal of Computer-Mediated Communication, 11, 593-628. https://doi.org/10.1111/j.1083-6101.2006.00029.x

Yavuz, R. I. (2024). Founders’ education, social capital, and their interplay in the intensity of new-venture internationalization. Journal of Small Business Management62(1), 30-66. https://doi.org/10.1080/00472778.2021.1913596

 

  • تاریخ دریافت 18 بهمن 1402
  • تاریخ بازنگری 30 بهمن 1402
  • تاریخ پذیرش 01 اسفند 1402
  • تاریخ اولین انتشار 04 اسفند 1402