The Factors Influencing Free-to-air Digital TV Viewing Behavioral Intention of the People in Greater Jakarta, Indonesia
Main Article Content
Abstract
The transformative impact of the Internet on human behavioral dynamics, including the viewing habits of Indonesian individuals, particularly with regard to television consumption, has been widely acknowledged. Despite the increasing adoption of Internet technology among Indonesians, the prevalence of digital TV viewership has not surpassed that of traditional television viewers as of 2022. This study delves into the factors that influence the behavioral intentions of individuals residing in Greater Jakarta, Indonesia, with respect to their engagement with free-to-air digital television content. Framed within the theoretical construct of the Theory of Planned Behavior, the study scrutinizes the determinants associated with the behavioral intention to consume free-to-air digital television content from ABCTV among the populace of Greater Jakarta, Indonesia. Specifically, the research explores the impact of attitude toward behavior, subjective norms, and perceived behavioral control on the intention to watch ABCTV content. To analyze the demographic and behavioral data, descriptive statistics were employed, while multiple regression analysis was conducted to test the formulated hypotheses.
The results showed that the majority of respondents identified as students, bachelor's degree, with an average monthly income ranging from 1,000,000 to 5,000,000 Indonesian Rupiah. Best time to watch TV is 18:00–00:00, most preferred platform is YouTube, and most favorite program is Talkshow. The main findings reveal that all three factors include attitude toward behavior, subjective norm, and perceived behavioral control have significant and positive influence on the intention to watch ABCTV. Moreover, the study identifies that individuals in Greater Jakarta find it more convenient to watch ABCTV programs on YouTube than traditional TV platforms, including Free-to-air Digital TV and Pay TV. These findings can serve as a valuable reference for enhancing the Indonesian Television Industry and developing more engaging programs that cater to the preferences of Indonesian viewers.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Article Accepting Policy
The editorial board of Thai-Nichi Institute of Technology is pleased to receive articles from lecturers and experts in the fields of business administration, languages, engineering and technology written in Thai or English. The academic work submitted for publication must not be published in any other publication before and must not be under consideration of other journal submissions. Therefore, those interested in participating in the dissemination of work and knowledge can submit their article to the editorial board for further submission to the screening committee to consider publishing in the journal. The articles that can be published include solely research articles. Interested persons can prepare their articles by reviewing recommendations for article authors.
Copyright infringement is solely the responsibility of the author(s) of the article. Articles that have been published must be screened and reviewed for quality from qualified experts approved by the editorial board.
The text that appears within each article published in this research journal is a personal opinion of each author, nothing related to Thai-Nichi Institute of Technology, and other faculty members in the institution in any way. Responsibilities and accuracy for the content of each article are owned by each author. If there is any mistake, each author will be responsible for his/her own article(s).
The editorial board reserves the right not to bring any content, views or comments of articles in the Journal of Thai-Nichi Institute of Technology to publish before receiving permission from the authorized author(s) in writing. The published work is the copyright of the Journal of Thai-Nichi Institute of Technology.
References
adelia75. (2017, July 11). Kenapa NET TV Menjadi Stasiun Televisi Terbaik Di Indoneisa ? Inilah 5 Alasannya (in Indonesia). Hipwee. Retrieved from https://www.hipwee.com/list/kenapa-net-tv-menjadi-stasiun-televisi-terbaik-di-indoneisa-inilah-5-alasannya/
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324. Retrieved from https://onlinelibrary.wiley.com/doi/10.1002/hbe2.195
Alimuddin, A. (2017). Growth of the mass media industry in Indonesia. International Journal of Business and Management, 1(2), 14–17.
Annur, C. M. (2022, December 9). Pengguna Internet Meningkat, Riset Nielsen Indonesia: TV Tetap Nomor Satu (in Indonesia) [Data file]. Retrieved from https://databoks.katadata.co.id/datapublish/2022/12/09/pengguna-internet-meningkat-riset-nielsen-indonesia-tv-tetap-nomor-satu
Antariksa, Y. (2019, August 12). 3 Pelajaran Bisnis dari Kasus Kejatuhan NET TV (in Indonesia) [Web log post]. Retrieved from https://strategimanajemen.net/2019/08/12/3-pelajaran-bisnis-dari-kasus-kejatuhan-net-tv/
Cochran, W. G. (1977). Sampling Techniques (3rd ed.). New York, NY: John Wiley & Sons.
Haryanto, A. T. (2022, December 8). Nielsen Indonesia: Internet Tidak Akan Mematikan Televisi (in Indonesia). Detikinet. Retrieved from https://inet.detik.com/cyberlife/d-6450837/nielsen-indonesia-internet-tidak-akan-mematikan-televisi
Kim, E., Lee, J.-A., Sung, Y., & Choi, S. M. (2016). Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior. Computers in Human Behavior, 62, 116–123.
Koay, K. Y., Cheah, C. W., & Lom, H. S. (2022). An integrated model of consumers' intention to buy second-hand clothing. International Journal of Retail & Distribution Management, 50(11), 1358–1377. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/IJRDM-10-2021-0470/full/html
Koay, K. Y., Teoh, J. Y., & Cheung, M. L. (2023). Understanding factors influencing viewers’ intention to watch video game live streaming on Twitch: Combined use of PLS-SEM and NCA. First Monday, 28(5), 1–22. Retrieved from https://firstmonday.org/ojs/index.php/fm/article/view/12644
Koay, K. Y., Tjiptono, F., & Sandhu, M. S. (2020). Digital piracy among consumers in a developing economy: A comparison of multiple theory-based models. Journal of Retailing and Consumer Services, 55, 102075.
Ministry of Communication and Information Technology, Indonesia. (2016). Annual Report 2016 (in Indonesian). Retrieved from https://web.kominfo.go.id/sites/default/files/users/12/LAPORAN%20TAHUNAN%20KOMINFO%202016.pdf
Permana, R. S. M., & Mahameruaji, J. N. (2019). Strategi pemanfaatan media baru NET. TV (in Indonesia). Jurnal Studi Komunikasi dan Media, 23(1), 21–36.
Sofia, W. (2022). Faktor penurunan minat masyarakat dalam menonton televisi (in Indonesia). (Master’s thesis). Aceh, Indonesia: Ar-Raniry State Islamic University.
Tariq, J., Sajjad, A., Usman, A., & Amjad, A. (2017). The role of intentions in Facebook usage among educated youth in Pakistan: An extension of the theory of planned behavior. Computers in Human Behavior, 74, 188–195.
Villar, M. F., Araya-Castillo, L. A., Yáñez-Jara, V. M., & Acevedo Duque, Á. E. (2019). Impact of leadership styles on the organizational learning capability (in Spanish). Espacios, 40(37).
Yesidora, A. (2022, February 8). Net TV, Bermula dari Televisi Anak Menjadi Stasiun TV Kekinian (in Indonesia). Katadata. Retrieved from https://katadata.co.id/intannirmala/ekonopedia/6201dab720fef/net-tv-bermula-dari-televisi-anak-menjadi-stasiun-tv-kekinian
Zhang, Y., Yu, X., Cheng, J., Chen, X., & Liu, T. (2017). Recreational behavior and intention of tourists to rural scenic spots based on TPB and TSR models (in Chinese). Geographical Research, 36(9), 1725–1741.