INTEGRATING TAM WITH IDT: FACTORS AFFECTING USERS’ INTENTION TO USE NEW SOCIAL MEDIA APPS

Vikka Dwi Nauli Haro Rajagukguk
Rio Guntur Utomo


DOI: https://doi.org/10.29100/jipi.v9i4.5918

Abstract


Social media applications that continue to grow in society have made many companies innovate new social media applications. Behind this, application developers must know the factors that make their applications popular in order to maintain long-term use. This research aims to measure user intentions in using new social media applications as well as exploring and investigating potential factors that influence users in using new social media applications. The research method used is a quantitative approach by proposing a Technology Acceptance Model (TAM) with Innovation Diffusion Theory (IDT). Data collected was 424 respondents who had used new social media applications. From the results of the analysis of factors that influence users to want to use new social media applications namely Complexity, Observability, Perceived Compatibility , Perceived Enjoyment, Relative Advantage and Perceived Ease of Use. Apart from that, there is the influence of Observability, Perceived Compatibility, Perceived Enjoyment, Trialability, Perceived Usefulness, and the influence of Perceived Usefulness on Behavioral Intention to Use. From the results of this research analysis, it is known that the approach in the TAM and IDT models provides support that there are factors that influence users to use new social media applications. This research suggests further expanding the variables in TAM and IDT to find out more about the factors that influence users to use new social media applications, as well as looking for more indicators from the variables in this study to strengthen the validity and reliability of the research variables.

Keywords


Aplikasi Media Sosial Baru; Faktor Penggunaan; Innovation Diffusion Theory (IDT); Technology Acceptance Model (TAM)

Full Text:

PDF

Article Metrics :

References


H. K. Azzaakiyyah, “The Impact of Social Media Use on Social Interaction in Contemporary Society,” Technology and Society Perspectives (TACIT), vol. 1, no. 1, pp. 1–9, Aug. 2023, doi: 10.61100/tacit.v1i1.33.

E. Ortiz-Ospina, “The rise of social media,” Our World in Data.

C. Duffy, “Clare DuffyThreads now has ‘tens of millions’ of daily users. But its honeymoon phase may be over,” CNN BUSINESS, Jul. 19, 2023.

J. Koetsier, “Threads Gets 30 Million Sign-Ups Overnight, Meta CEO Mark Zuckerberg Says,” Forbes, Jul. 06, 2023.

J. Heryanta, “Pengaruh Behavioral Intention Terhadap Actual Use Pengguna GO-JEK Indonesia dengan Pendeka-tan Technology Acceptance Model dan Innovation Diffusion Theory.”

C. ZAFER and P. VARDARLIER, “Toplumsal Gürültüden Toplumsal Hareketlere Sosyal Medyanın Rolü: Arap Baharı ve Gezi Parkı Olayları Örneği,” Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, vol. 21, no. 2, pp. 379–390, Jun. 2019, doi: 10.32709/akusosbil.472857.

A. M. Selase, A. E. Selase, A.-R. Ayishetu, A. Stanley, and G.-A. Ebenezer, “Impact of Technology Adoption and Its Utilization on SMEs in Ghana,” International Journal of Small and Medium Enterprises, vol. 2, no. 2, 2019, [Online]. Available: www.cribfb.com/journal/index.php/ijsmes

W. M. Al-Rahmi et al., “Integrating Technology Acceptance Model with Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems,” IEEE Access, vol. 7, pp. 26797–26809, 2019, doi: 10.1109/ACCESS.2019.2899368.

J. Gunawan and F. E. Gunawan, “Factors That Influence Employees’ Intention to Use Enterprise Social Media as Knowledge Sharing Media,” 2019.

Z. Xinyu, “Influence of Panoramic Vr Software on Tourists’ on-Site Travel Intention: an Integrated Model Based on Tam and Idt”, doi: 10.23977/csoc.2022.020108.

J. Jeong, Y. Kim, and T. Roh, “Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care,” Sage Open, vol. 11, no. 3, 2021, doi: 10.1177/21582440211040070.

N. Mohamad, “Understanding the Mediating Effects of Technology Factor on Social Media Acceptance among Budget Accommodations,” Jurnal Komunikasi: Malaysian Journal of Communication, vol. 38, no. 1, pp. 221–239, 2022, doi: 10.17576/JKMJC-2022-3801-12.

M. Yusril, H. Setyawan, M. Harry, and K. Saputra, “KOMBINASI IDT-TAM UNTUK ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN APLIKASI PERUSAHAAN,” 2022.

K. S. Taber, “The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Edu-cation,” Res Sci Educ, vol. 48, no. 6, pp. 1273–1296, Dec. 2018, doi: 10.1007/s11165-016-9602-2.

D. R. Rahadi, “PengatarPartialLeastSquareStrcturalEquationModelPLS-SEM”.

I. Made Purba Astakoni, N. Luh Putu Sariani, A. Yulistiyono, I. Nyoman Tri Sutaguna, N. Made Satya Utami, and S. Tinggi Ilmu Manajemen Handayani Denpasar, “Spiritual Leadership, Workplace Spirituality and Organizational Commitment; Individual Spirituality as Moderating Variable,” 2022.

J. E. Gentle, W. K. Härdle, and Y. Mori, “Handbook of Partial Least Squares: Concepts, Methods and Applications.” [Online]. Available: http://www.springer.com/series/7286

Z. H. Munim and T. Noor, “Young people’s perceived service quality and environmental performance of hybrid electric bus service,” Travel Behav Soc, vol. 20, pp. 133–143, Jul. 2020, doi: 10.1016/j.tbs.2020.03.003.

G. D. Garson, “PARTIAL LEAST SQUARES (PLS-SEM) 2016 Edition.” [Online]. Available: www.statisticalassociates.com

A. Muhson, “Analisis Statistik dengan SmartPLS ii Analisis Statistik dengan SmartPLS: Path Analysis, Confirmatory Factor Analysis, & Structural Equation Modeling,” 2022.

T. Ramayah, J. Yeap, N. H. Ahmad, H. Halim, and S. A. Rahman, “Testing a Confirmatory model of Facebook Usage in SmartPLS using Consistent PLS,” 2017. [Online]. Available: http://www.theijbi.net/

N. ririn Furadantin, “Analisis_Data_Menggunakan_Aplikasi_Smart,” 2018.

J. F. Hair, G. T. M. Hult, C. M. Ringle, and Sarstedt Marko, “A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Third Edition.”