Adoption and Acceptance of Smart Home Technology Products for Millennials in Indonesia

  • Fernanda Rehaniza Ferdhany
  • Leo Aldianto


Smart home refers to a convenient home setup where appliances and devices can be automatically controlled remotely from anywhere with an internet connection using a mobile or other networked device. Indonesia is a promising area for the development of Internet-of-Things (IoT) and digitalization strategies especially smart home products. This study analyzed the core motivations for the implementation of smart home products and discussed the approaches and processes through which motives were integrated into the original technology acceptance model (TAM) and the acceptance of products. The theory of technology acceptance model is implemented in this study to analyze how technology adoption of a smart home product with millennials as the main object of research. Data from 305 respondents, which was collected through an online survey, were examined quantitatively. The results indicated that the perceived system reliability, compatibility, connectedness, and enjoyment of smart home products were positively linked to the user's intention to use the products, although there was a negative correlation between the perceived cost and the intention to use. This study provides an insight associated with the role of core motivation factors in the technology acceptance model which suggests a relevant recommendation for further studies. Furthermore, the findings can be used by companies that want to develop smart home products as consideration for developing an impactful strategy to increase the user adoption level.


Aldrich, F.K.: Smart homes: past, present, and future. In: Harper, R. (ed.) Inside the Smart
Home, pp. 17–39. Springer, London (2003).
Arnold, A. (2018, July 28). More Millennials Are Becoming Homeowners, But Do They
Want Smart Homes? Retrieved from
Balta-Ozkan, N., Davidson, R., Bicket, M. & Whitmarsh, L. 2013a. The development of the smart homes market in the UK. Energy, 60, 361-372.
Balta-Ozkan, N., et al.: Social barriers to the adoption of smart homes. Energy Policy 63,
363–374 (2013)
Bayarcelik, Ebru & Bumin Doyduk, Hande. (2019). Consumers' Acceptance of Internet of
Things Technology. 6. 351-371. 10.17336/igusbd.538182.
Cho, Eunjoo & Son, Jihyeong. (2019). The effect of social connectedness on consumer
adoption of social commerce in apparel shopping. Fashion and Textiles. 6. 10.1186/s40691-019-0171-7.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of
information technology. MIS Quarterly, 13(3), 319-333.
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use
computers in the workplace1. J. Appl. Soc.Psychol. 22(14), 1111–1132 (1992)
GfK. (2016). Smart home: A global perspective. from
https://www.gfk. com/fileadmin/user_upload/dyna_content/Global/documents/Reports/GfK-smart-home-teaserdeck-global.pdf.
Hoffman, Donna & Novak, Thomas. (2015). Emergent Experience and the Connected
Consumer in the Smart Home Assemblage and the Internet of Things. SSRN Electronic Journal. 10.2139/ssrn.2648786.
Jahangir, Nadim & Begum, Noorjahan. (2008). The role of perceived usefulness, perceived
ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management. 2. 32-40.
Jamie Sorcher ⋅ Published: May 8, 2. ⋅, & Sorcher, J. (2019, November 25). Smart Home
Solutions and Who's Buying. Retrieved from
Kanchanatanee, Kanokwan & Suwanno, Nuttida & Jarernvongrayab, Anu. (2014). Effects of
Attitude toward Using, Perceived Usefulness, Perceived Ease of Use and Perceived Compatibility on Intention to Use E-Marketing. Journal of Management Research. 6. 1. 10.5296/jmr.v6i3.5573.
Malhotra, N. K., 2010. Marketing Research: An Applied Orientation. 6th ed. New York:
Marikyan, Davit; Papagiannidis, Savvas; and Alamanos, Eleftherios, "The Effect of
Behavioural Beliefs on Smart Home Technology Adoption" (2019). UK Academy for Information Systems Conference Proceedings 2019. 19.
Moon, Taesoo & Kang, Sungbae & Choi, Sangmin & Kim, Donghui. (2015). Perceived
Reliability and Technology Acceptance of Realistic Media Service. 105-111. 10.14257/astl.2015.113.22.
Neumann, Niklas (2018) The acceptance of smart home technology.
Nikou, S. (2019). Factors Driving the Adoption of Smart Home Technology: An Empirical
Assessment. Telematics and Informatics, 101283.doi:10.1016/j.tele.2019.101283
Park, Y., & Chen, J.V. (2007). Acceptance and adoption of the innovative use of
smartphone. Ind. Manag. Data Syst., 107, 1349-1365.
Park, Eunil & Kim, Sunghyun & Kim, YoungSeok & Kwon, Sang. (2017). 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. 10.1007/s10209-017-0533-0.
Sarstedt, Marko & Ringle, Christian & Hair, Joe. (2017). Partial Least Squares Structural
Equation Modeling. 10.1007/978-3-319-05542-8_15-1.
Salimon, M.G., & Gorondutse, A.H. (2018). User adoption of Smart Homes Technology in
Malaysia : Integration TAM 3 , TPB , UTAUT 2 and extension of their constructs for a better prediction *.
Shin, D.H.: Determinants of customer acceptance of multi-service network: an implication
for IP-based technologies. Inform. Manag. 46(1), 16–22 (2009)
Shuhaiber, Ahmed & Mashal, Ibrahim. (2019). Understanding users’ acceptance of smart
homes. Technology in Society. 10.1016/j.techsoc.2019.01.003.
Wong, K. K.-K. (2013). Partial Least Squares Structural Equation Modeling (PLSSEM)
Techniques. Marketing Bulletin, 2013, 24, Technical Note 1.
Vivensius, G., Kaburuan, E. R., & Sfenrianto, S. (2019). ANALYSIS OF FACTORS
IN THE BANKING INDUSTRY IN INDONESIA. International Journal of Civil
Engineering and Technology, 10(4), 1270-1281. doi:10.34218/IJM.10.3.2019.011
Yang, Heetae & Lee, Wonji & Lee, Hwansoo. (2018). IoT Smart Home Adoption: The
Importance of Proper Level Automation. Journal of Sensors. 2018. 1-11. 10.1155/2018/6464036.
Yi, Mun & Hwang, Yujong. (2003). Predicting the use of web-based information systems:
self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Compu
How to Cite
FERDHANY, Fernanda Rehaniza; ALDIANTO, Leo. Adoption and Acceptance of Smart Home Technology Products for Millennials in Indonesia. Asian Journal of Research in Business and Management, [S.l.], v. 2, n. 2, p. 154-164, july 2020. Available at: <>. Date accessed: 02 july 2022.