Exploring The Factors Affecting Consumer Preparedness For Smart Home Technology In Indonesia
Abstract
SSmart home technology is becoming more popular globally, including in Indonesia.
However, its adoption is still early, mainly due to the public's limited awareness of
this technology. This study uses the Technology Readiness and Acceptance Model
(TRAM) to assess individuals' readiness to embrace smart home technology. This
research was conducted using SEM PLS with 271 respondents selected through
purposive sampling, using 34 questions with a 5-point Likert scale. Positive outlook
and user-friendliness have a role in how people value smart home technology,
according to the study's findings. Optimism, inventiveness, and discomfort all affect
how easy something is to use. Anxiety and unease can play a role in how we interpret
danger. Smart home technology adoption is influenced by factors such as its
perceived value, simplicity of use, and cost significantly and positively.
Downloads
References
Aldossari, M. Q., & Sidorova, A. (2020). Consumer Acceptance of Internet of Things (IoT): Smart Home
Context. Journal of Computer Information Systems, 60(6), 507–517.
Basarir-Ozel, B., Turker, H. B., & Nasir, V. A. (2022). Identifying the Key Drivers and Barriers of Smart Home
Adoption: A Thematic Analysis from the Business Perspective. Sustainability (Switzerland), 14(15).
Baudier, P., Ammi, C., & Deboeuf-Rouchon, M. (2020). Smart home: Highly-educated students’ acceptance.
Technological Forecasting and Social Change, 153. https://doi.org/10.1016/j.techfore.2018.06.043
Buyle, R., Van Compernolle, M., Vlassenroot, E., Vanlishout, Z., Mechant, P., & Mannens, E. (2018).
“Technology readiness and acceptance model” as a predictor for the use intention of data standards in smart
cities. Media and Communication, 6(4Theoretical Reflections and Case Studies), 127–139.
Chen, M. F., & Lin, N. P. (2018). Incorporation of health consciousness into the technology readiness and
acceptance model to predict app download and usage intentions. Internet Research, 28(2), 351–373.
Cimbaljević, M., Demirović Bajrami, D., Kovačić, S., Pavluković, V., Stankov, U., & Vujičić, M. (2023).
Employees’ technology adoption in the context of smart tourism development: the role of technological
acceptance and technological readiness. European Journal of Innovation Management.
Elian, A. A., & Salehudin, I. (2022). Hey Google: Does Environmental Beliefs and Perceived Privacy Risk
Influence Potential User’s Intention to Use a Smart Home System in Indonesia? Smart City, 2(1).
Erdoǧmu, N., & Esen, M. (2011). An investigation of the effects of technology readiness on technology
acceptance in e-HRM. Procedia - Social and Behavioral Sciences, 24, 487–495.
Farzianpour, F., Pishdar, M., Shakib, M. D., & Toloun, M. R. S. H. (2014). Consumers’ perceived risk and its
effect on adoption of online banking services. American Journal of Applied Sciences, 11(1), 47–56.
Ghozali, I., & Latan, H. (2015). Partial Least Squares Konsep, Teknik dan Aplikasi Menggunakan Program
SmartPLS 3.0 Untuk Penelitian Empiris. Universitas Diponegoro.
Godoe, P., Trond, &, & Johansen, S. (2012). Understanding adoption of new technologies. In Journal of
European Psychology Students (Vol. 3).
Gu, W., Bao, P., Hao, W., & Kim, J. (2019). Empirical examination of intention to continue to use smart home
services. Sustainability (Switzerland), 11(19). https://doi.org/10.3390/su11195213
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares
Structural Equation Modeling (PLS-SEM) Using R. Springer. http://www.
Hargreaves, T., Wilson, C., & Hauxwell-Baldwin, R. (2018). Learning to live in a smart home. Building
Research and Information, 46(1), 127–139. https://doi.org/10.1080/09613218.2017.1286882
Indotelko. (2020, April 28). Gurihnya pasar IoT di Indonesia. Indotelko.Com.
https://www.indotelko.com/read/1588044287/telkomsel-roambee
Indrawati, Raman, M., Wai, C. K., Ariyanti, M., Mansur, D. M., Marhaeni, G. A. M. M., Tohir, L. M., Gaffar,
M. R., Has, M. N., & Yuliansyah, S. (2017). Perilaku Konsumen Individu dalam Mengadopsi Layanan Berbasis
Teknologi Informasi & Komunikasi.
International Journal of Science, Technology & Management ISSN: 2722 - 4015
Ismail, H. A. (2016). Intention to Use Smartphone Through Perceived Compability, Perceived Usefulness, and
Perceived Ease of Use. Jurnal Dinamika Manajemen, 7(1), 1–10. http://jdm.unnes.ac.id
Jamaludin, F. (2020, March 10). Regulasi Jadi Salah Satu Tantangan IoT. Merdeka.Com.
Ji, W., & Chan, E. H. W. (2020). Between users, functions, and evaluations: Exploring the social acceptance of
smart energy homes in China. Energy Research and Social Science, 69.
https://doi.org/10.1016/j.erss.2020.101637
Kampa, R. K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of
m-learning in higher education in India. Asian Association of Open Universities Journal.
Keong, O. C., Leong, T. K., & Bio, C. J. (2020). Perceived Risk Factors Affect Intention To Use FinTech.
Journal of Accounting and Finance in Emerging Economies, 6(2), 453–463.
www.publishing.globalcsrc.org/jafee
Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology
readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126.
Kumar, S., & Dami, M. (2021). Integrating Diffusion of Innovation to TechnologyAcceptance Model: A Survey
of Millennials’ Intention to Use E-Money Card. Advances in Economics, Business and Management Research,
, 191–198.
Lairan, N. (2022, October 28). Iot Sebagai Gerbang Teknologi Masa Depan Di Dunia, Apakah Indonesia Sudah
Siap? Binus University.
Lin, J. S. C., & Chang, H. C. (2011). The role of technology readiness in self-service technology acceptance. In
Managing Service Quality (Vol. 21, Issue 4, pp. 424–444). https://doi.org/10.1108/09604521111146289
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019). A systematic review of the smart home literature: A
user perspective. Technological Forecasting and Social Change, 138, 139–154.
Mashal, I., Shuhaiber, A., & Daoud, M. (2020). Factors influencing the acceptance of smart homes in Jordan.
Int. J. Electronic Marketing and Retailing, 11(2), 113–142.
Moses. (2023, May 15). Smart Home: Mengoptimalkan Teknologi untuk Kehidupan yang Lebih Nyaman.
Tiperumah.Id.
Mulcahy, R., Letheren, K., McAndrew, R., Glavas, C., & Russell-Bennett, R. (2019). Are households ready to
engage with smart home technology? Journal of Marketing Management, 35(15–16), 1370–1400.
Nafia, Z. I., Hidayati, D., & Sulisworo, D. (2023). The Application of the Technology Readiness Acceptance
Model on Education. Journal of Novel Engineering Science and Technology, 2(01), 9–15.
Noer, K. U. (2021). Pengantar Sosiologi Untuk Mahasiswa Tingkat Dasar. Perwatt.
Nugroho, M. A., & Andryzal, F. M. (2017). Effects of Technology Readiness Towards Acceptance of
Mandatory Web-Based Attendance System. Procedia Computer Science, 124, 319–328.
Park,E.,Kim,S.,Kim,Y.S.,&Kwon,S.J.(2018).Smart home services as the next mainstream of the ICT industry:
determinants of the adoption of smart home services. Universal Access in the Information Society,17, 175–190.
Pradhan, M. K., Oh, J., & Lee, H. (2018). Understanding travelers’ behavior for sustainable smart tourism: A
technology readiness perspective. Sustainability (Switzerland), 10(11). https://doi.org/10.3390/su10114259
Putra, G., & Ariyanti, M. (2013). Pengaruh Faktor-faktor dalam Modified Unified Theory of Acceptance and
Use of Technology 2 (UTAUT 2) Terhadap Niat Prospective Users untuk Mengadopsi Home Digital Services
PT.Telkom di Surabaya. Jurnal Manajemen Indonesia, 12(4), 59–76.
Rudiansyah, A. (2022, October). 6 Tantangan IoT dan Cara Memperbaikinya. ACT Communications.
Sequeiros, H., Oliveira, T., & Thomas, M. A. (2021). The Impact of IoT Smart Home Services on Psychological
Well-Being. Information Systems Frontiers, Springer, 24(3), 1009–1026.
Shi, Y. (2018). The Impact of Consumer Innovativeness on the Intention of Clicking on SNS Advertising.
Modern Economy, 09(02), 278–285. https://doi.org/10.4236/me.2018.92018
Shin, J., Park, Y., & Lee, D. (2018). Who will be smart home users? An analysis of adoption and diffusion of
smart homes. Technological Forecasting and Social Change, 134, 246–253.
Shuhaiber, A.,& Mashal, I. (2019). Understanding users’ acceptance of smart homes. Technology in Society, 58.
Statista. (n.d.). Smart Home - Indonesia. Statista.Com. Retrieved April 15, 2023, from
https://www.statista.com/outlook/dmo/smart-home/indonesia
Wicaksono, S. R. (2022). Teori Dasar Technology Acceptance Model. CV.Seribu Bintang.
Zhang, W., & Liu, L. (2022). Unearthing consumers’ intention to adopt eco-friendly smart home services: an
extended version of the theory of planned behavior model. Journal of Environmental Planning and
Management, 65(2), 216–239. https://doi.org/10.1080/09640568.2021.1880379.
Copyright (c) 2024 International Journal of Science, Technology & Management
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
