Journals / Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi / 2019 / Cilt: 21 - Sayı: 3

Determinants of Users’ Intention to Use Social Media Apps

Sosyal Medya Uygulamalarını Kullanmaya Yönelik Niyetin Belirleyicileri

Pages
686–702
Publication Date
2019-09-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that TAM in the extension of an innovation diffusion theory and psychological motivations can help decision-makers in the social media app.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study examines to understand the smartphone users' attitudes and intention towards social media apps with the perspective of three widely used models; uses and gratification (U&G) theory's psychological motivations factors (entertainment, sociality, and information), innovation diffusion theory (IDT) and the technology acceptance model (TAM).
📊
Key Findings & Data:The numbers of the valid survey collected were 527.
💡
Conclusion & Impact:The results show that TAM in the extension of an innovation diffusion theory and psychological motivations can help decision-makers in the social media app.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Teknoloji Kabul Modeli · Kullanımlar ve Doyumlar Teorisi · Yeniliğin Yayılımı Teorisi

Abstract

This study examines to understand the smartphone users' attitudes and intention towards social media apps with the perspective of three widely used models; uses and gratification (U&G) theory's psychological motivations factors (entertainment, sociality, and information), innovation diffusion theory (IDT) and the technology acceptance model (TAM). Thus, in the framework of this research, the proposed research model consists of three respective models. The random sampling technique used to collect research samples from Usak province in Turkey. The data used in testing the research model collected by the questionnaires. The numbers of the valid survey collected were 527. The structural equation modeling conducted to analyze the research assumptions and model. The outcomes indicate that the users' perceived ease of use (PEOU) influenced by complexity, relative advantage, observability, trialability. Perceived usefulness (PU) affected by compatibility, relative advantage, observability, trialability, and PEOU, while with attitude together influencing intention to use social media app. Another outcome showed that attitude determined by sociality, entertainment, PEOU, and PU. Empirical results also provided support for the integrative approach. The results show that TAM in the extension of an innovation diffusion theory and psychological motivations can help decision-makers in the social media app.

Özet

Bu çalışmanın amacı, akıllı telefon kullanıcılarının sosyal medya uygulamalarına yönelik tutumlarını ve niyetlerini, yaygın olarak kullanılan üç model; kullanımlar ve doyumlar teorisinin psikolojik faktörleri (eğlence, sosyalleşme ve bilgi), yeniliğin yayılımı kuramı ve teknoloji kabul modeli bakış açısıyla incelemektir. Bu araştırma hedefi çerçevesinde, bu üç model bir araştırma modeli altında birleştirilmiştir. Araştırma örnekleri Uşak İl’inden rasgele örneklem tekniği ile elde edilmiştir. Araştırma modelinin test edilmesinde kullanılan veriler anket yolu ile toplanmıştır. Toplanan geçerli anket sayısı 527 dir. Araştırma modeli ile araştırma hipotezleri yapısal eşitlik modellemesi ile test edilmiştir. Sonuçlar göstermektedir ki, kullanıcıların algılanan kullanım kolaylığı; karmaşıklık, bağıl avantaj, gözlemlenebilirlik ve denenebilirlik tarafından etkilenmektedir. Algılanan fayda ise; uygunluk, bağıl avantaj, gözlemlenebilirlik, denenebilirlik ve algılanan kullanım kolaylığı tarafından etkilenirken, algılanan fayda ile tutum sosyal medya uygulaması kullanım niyeti üzerinde etkilidir. Diğer taraftan sosyalleşme, eğlence, algılanan kullanım kolaylığı ve algılanan fayda tutumun belirleyicisidir. Nicel sonuçlar bütünleşik yaklaşımın desteklendiğini göstermiştir. Yeniliğin yayılımı kuramı ve psikolojik motivasyonlar bağlamında teknoloji kabul modelinin sosyal medya uygulamaları karar vericilerine yardımcı olabileceğini göstermektedir.

🔖

Cite This Article

ŞAHİN, F., ALKAYA, A., TAŞKIN, E. (2019). Determinants of Users’ Intention to Use Social Media Apps. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, Cilt: 21 - Sayı: 3, 686–702. https://ajindex.com/articles/69786

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. Agarwal, R. (2000). Individual Acceptance of Information Technologies, (Ed: R. W. Zmud), Framing the Domains of It Management: Projecting the Future Through the Past: (pp. 85- 104). Agarwal, R. and Prasad, J. (1999). Are Individual Differences Germane to the Acceptance of New Information Technologies? Decision Sciences, 30(2): 361-391.
  2. Bajaj, A., and Nidumolu, S. R. (1998). A Feedback Model to Understand Information System Usage, Information and Management, 33(4): 213-224.
  3. Baker, R. K., and White, K. M. (2010). Predicting Adolescents’ Use of Social Networking Sites from an Extended Theory of Planned Behaviour Perspective, Computers in Human Behavior, 26(6): 1591-1597.
  4. Boyd, D. M., and Ellison, N. B. (2007). Social Network Sites: Definition, History, and Scholarship, Journal of Computer‐Mediated Communication, 13(1): 210-230.
  5. Bradford, M., and Florin, J. (2003). Examining the Role of Innovation Diffusion Factors on the Implementation Success of Enterprise Resource Planning Systems, International Journal of Accounting Information Systems, 4(3): 205-225. Brandtzæg, P. B., and Heim, J. (2009). Why People Use Social Networking Sites, Paper presented at The International Conference on Online Communities and Social Computing. Cao, Y. and Hong, P. (2011). Antecedents and Consequences of Social Media Utilization in College Teaching: A Proposed Model with Mixed-Methods Investigation, On the Horizon, 19(4): 297-306.
  6. Carr, C. T., and Hayes, R. A. (2015). Social Media: Defining, Developing, and Divining, Atlantic Journal of Communication, 23(1): 46-65.
  7. Chang, H. C. (2010). A New Perspective on Twitter Hashtag Use: Diffusion of Innovation Theory, Proceedings of The American Society for Information Science and Technology, 47(1): 1-4.
  8. Chang, Y. P. and Zhu, D. H. (2011). Understanding Social Networking Sites Adoption in China: A Comparison of Pre-Adoption and Post-Adoption, Computers in Human Behavior, 27(5): 1840-1848.
  9. Chen, L.-d., Gillenson, M. L., and Sherrell, D. L. (2002). Enticing Online Consumers: An Extended Technology Acceptance Perspective, Information and Management, 39(8): 705- 719. Chung, C., and Austria, K. (2010). Social Media Gratification and Attitude toward Social Media Marketing Messages: A Study of the Effect of Social Media Marketing Messages on Online Shopping Value, Paper presented at the Northeast Business & Economics Association. comSCORE. (2018). Global Digital Future in Focus Retrieved from https://www.comscore.com/Insights/Presentations-and-Whit