IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v58y2019ics0160791x18300484.html
   My bibliography  Save this article

Understanding users’ acceptance of smart homes

Author

Listed:
  • Shuhaiber, Ahmed
  • Mashal, Ibrahim

Abstract

Smart homes allow owners to monitor and control wide range of home appliances remotely and intelligently. Despite its potential, the acceptance of smart homes by residents is still far from expectations. Thus, this study aims to investigate the factors that influence residents’ acceptance and usage of smart home. By extending the Technology Acceptance Model (TAM), this research incorporates more factors related to users such as trust, awareness, enjoyment, and perceived risks to study intention to use smart homes and investigate their impact quantitatively by using SEM-PLS approach. Results show that trust, awareness, enjoyment, and perceived risks, with perceived usefulness and perceived ease of use significantly influence attitude towards smart homes which, in turn, impact the intention to use smart homes.

Suggested Citation

  • Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    • Handle: RePEc:eee:teinso:v:58:y:2019:i:c:s0160791x18300484
    DOI: 10.1016/j.techsoc.2019.01.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X18300484
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2019.01.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ronaghi, Mohammad Hossein & Forouharfar, Amir, 2020. "A contextualized study of the usage of the Internet of things (IoTs) in smart farming in a typical Middle Eastern country within the context of Unified Theory of Acceptance and Use of Technology model," Technology in Society, Elsevier, vol. 63(C).
    2. Kasilingam, Dharun Lingam, 2020. "Understanding the attitude and intention to use smartphone chatbots for shopping," Technology in Society, Elsevier, vol. 62(C).
    3. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).
    4. Lim, Joon Soo & Zhang, Jun, 2022. "Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency," Technology in Society, Elsevier, vol. 69(C).
    5. Aggarwal, Nitin & Albert, Leslie J. & Hill, Timothy R. & Rodan, Simon A., 2020. "Risk knowledge and concern as influences of purchase intention for internet of things devices," Technology in Society, Elsevier, vol. 62(C).
    6. Mina, Giorgio & Peira, Giovanni & Bonadonna, Alessandro, 2023. "Public perception and social sustainability of indoor farming technologies: A systematic review," Technology in Society, Elsevier, vol. 75(C).
    7. Fleiß, Eva & Hatzl, Stefanie & Rauscher, Jürgen, 2024. "Smart energy technology: A survey of adoption by individuals and the enabling potential of the technologies," Technology in Society, Elsevier, vol. 76(C).
    8. Yoon, Sungjoon & Oh, Jongchul, 2022. "A theory-based approach to the usability of augmented reality technology: A cost-benefit perspective," Technology in Society, Elsevier, vol. 68(C).
    9. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    10. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    11. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    12. Maras, Marie-Helen & Miranda, Michelle D., 2023. "Augmented body surveillance: Human microchip implantations and the omnipresent threat of function creep," Technology in Society, Elsevier, vol. 74(C).
    13. Weiss, Daniel & Nemeczek, Fabian, 2021. "A text-based monitoring tool for the legitimacy and guidance of technological innovation systems," Technology in Society, Elsevier, vol. 66(C).
    14. Furszyfer Del Rio, D.D., 2022. "Smart but unfriendly: Connected home products as enablers of conflict," Technology in Society, Elsevier, vol. 68(C).
    15. Mashal, Ibrahim & Alsaryrah, Osama & Chung, Tein-Yaw & Yuan, Fong-Ching, 2020. "A multi-criteria analysis for an internet of things application recommendation system," Technology in Society, Elsevier, vol. 60(C).
    16. Adeyeye, Kemi, 2024. "Controlling the ‘elephant in the room’: A new protocol for sharing data from home performance monitoring systems," Technology in Society, Elsevier, vol. 76(C).
    17. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Abosaq, Hamad & Alghamdi, Abdullah & Akib, Noor Adelyna Mohammed, 2022. "Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques," Technology in Society, Elsevier, vol. 71(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    2. Dumpe Maira, 2015. "Online Marketing Issues of Real Estate Companies: A Case of Latvia," Baltic Journal of Real Estate Economics and Construction Management, Sciendo, vol. 3(1), pages 130-139, December.
    3. Delina, Radoslav & Vajda, Viliam & Bednár, Peter, 2007. "Trusted operational scenarios - Trust building mechanisms and strategies for electronic marketplaces," MPRA Paper 20243, University Library of Munich, Germany.
    4. Vlad Rosca, 2015. "Customer attitudes towards buying e-books: Perspectives from a Romanian publishing house," Journal of Community Positive Practices, Catalactica NGO, issue 4, pages 105-111.
    5. Sembada, Agung Y. & Koay, Kian Yeik, 2021. "How perceived behavioral control affects trust to purchase in social media stores," Journal of Business Research, Elsevier, vol. 130(C), pages 574-582.
    6. Maik Hesse & Timm Teubner & Marc T. P. Adam, 2022. "In Stars We Trust – A Note on Reputation Portability Between Digital Platforms," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 349-358, June.
    7. Aladwani, Adel M. & Dwivedi, Yogesh K., 2018. "Towards a theory of SocioCitizenry: Quality anticipation, trust configuration, and approved adaptation of governmental social media," International Journal of Information Management, Elsevier, vol. 43(C), pages 261-272.
    8. Dogra, Nikhil & Adil, Mohd & Sadiq, Mohd & Dash, Ganesh & Paul, Justin, 2023. "Unraveling customer repurchase intention in OFDL context: An investigation using a hybrid technique of SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    9. Pei-Chu, Hung, 2019. "Understanding What Drives Consumers to Use Gourmet Apps: Applying a Relationship Quality Perspective," GATR Journals jmmr210, Global Academy of Training and Research (GATR) Enterprise.
    10. Fernanda Leão Ramos & Jorge Brantes Ferreira & Angilberto Sabino de Freitas & Juliana Werneck Rodrigues, 2018. "The Effect of Trust in the Intention to Use m-banking," Brazilian Business Review, Fucape Business School, vol. 15(2), pages 175-191, March.
    11. Chetan A. Jhaveri & Jitendra M. Nenavani, 2020. "Evaluation of eTail Services Quality: AHP Approach," Vision, , vol. 24(3), pages 310-319, September.
    12. Tomás Escobar-Rodríguez & Rocío Bonsón-Fernández, 0. "Analysing online purchase intention in Spain: fashion e-commerce," Information Systems and e-Business Management, Springer, vol. 0, pages 1-24.
    13. Mäenpää, Katariina & Kale, Sudhir H. & Kuusela, Hannu & Mesiranta, Nina, 2008. "Consumer perceptions of Internet banking in Finland: The moderating role of familiarity," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 266-276.
    14. Qin, Li & De-Juan-Vigaray, María D., 2021. "Social commerce: Is interpersonal trust formation similar between U.S.A. and Spain?," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    15. Jie Lv & Cong Cao & Qianwen Xu & Linyao Ni & Xiuyan Shao & Yangyan Shi, 2022. "How Live Streaming Interactions and Their Visual Stimuli Affect Users’ Sustained Engagement Behaviour—A Comparative Experiment Using Live and Virtual Live Streaming," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    16. Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
    17. Möhlmann, Mareike, 2021. "Unjustified trust beliefs: Trust conflation on sharing economy platforms," Research Policy, Elsevier, vol. 50(3).
    18. Al-Adwan, Ahmad Samed & Al-Debei, Mutaz M. & Dwivedi, Yogesh K., 2022. "E-commerce in high uncertainty avoidance cultures: The driving forces of repurchase and word-of-mouth intentions," Technology in Society, Elsevier, vol. 71(C).
    19. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    20. repec:dau:papers:123456789/4215 is not listed on IDEAS
    21. Leonie Kuen & Fiona Schürmann & Daniel Westmattelmann & Sophie Hartwig & Shay Tzafrir & Gerhard Schewe, 2023. "Trust transfer effects and associated risks in telemedicine adoption," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:58:y:2019:i:c:s0160791x18300484. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.