How to cite this paper
Mashal, I., Shuhaiber, A & AL-Khatib, A. (2023). User acceptance and adoption of smart homes: A decade long systematic literature review.International Journal of Data and Network Science, 7(2), 533-552.
Refrences
Ahmadi, H., Arji, G., Shahmoradi, L., Safdari, R., Nilashi, M., & Alizadeh, M. (2019). The application of internet of things in healthcare: a systematic literature review and classification. Universal Access in the Information Society, 18(4), 837-869. doi:10.1007/s10209-018-0618-4
Ahn, M., Kang, J., & Hustvedt, G. (2016). A model of sustainable household technology acceptance. International Journal of Consumer Studies, 40(1), 83-91. doi:https://doi.org/10.1111/ijcs.12217
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27, 41-57. doi:10.1037/h0034440
Al-Bashayreh, M., Almajali, D., Al-Okaily, M., Masa’deh, R. e., & Samed Al-Adwan, A. (2022). Evaluating Electronic Customer Relationship Management System Success: The Mediating Role of Customer Satisfaction. Sustainability, 14(19), 12310. Retrieved from https://www.mdpi.com/2071-1050/14/19/12310
Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R. e., & Al-Okaily, M. (2022). An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage. Sustainability, 14(7), 4325. Retrieved from https://www.mdpi.com/2071-1050/14/7/4325
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376. doi:10.1109/COMST.2015.2444095
Alaiad, A., & Zhou, L. (2017). Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers. IEEE Transactions on Professional Communication, 60(1), 4-23. doi:10.1109/TPC.2016.2632822
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. doi:10.1080/08874417.2018.1543000
Alsulami, M. H., & Atkins, A. S. (2016). Factors Influencing Ageing Population for Adopting Ambient Assisted Living Technologies in the Kingdom of Saudi Arabia. Ageing International, 41(3), 227-239. doi:10.1007/s12126-016-9246-6
Altamimi, A., Al-Bashayreh, M., AL-Oudat, M., & Almajali, D. (2022). Blockchain technology adoption for sustainable learning. International Journal of Data and Network Science, 6(3), 983-994.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. doi:https://doi.org/10.1016/j.comnet.2010.05.010
Augusto, J. C., & Nugent, C. D. (2006). Smart Homes Can Be Smarter. In J. C. Augusto & C. D. Nugent (Eds.), Designing Smart Homes: The Role of Artificial Intelligence (pp. 1-15). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ayan, O., & Türkay, B. (2021, 6-8 Oct. 2021). Factors Affecting the Adoption of Smart Home Systems in the Context of Technology Acceptance Model. Paper presented at the 2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
Balta-Ozkan, N., Amerighi, O., & Boteler, B. (2014). A comparison of consumer perceptions towards smart homes in the UK, Germany and Italy: reflections for policy and future research. Technology Analysis & Strategic Management, 26(10), 1176-1195. doi:10.1080/09537325.2014.975788
Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363-374. doi:https://doi.org/10.1016/j.enpol.2013.08.043
Bao, H., Chong, A. Y. L., Ooi, K. B., & Lin, B. (2014). Are Chinese consumers ready to adopt mobile smart home? An empirical analysis. International Journal of Mobile Communications, 12(5), 496-511. doi:10.1504/IJMC.2014.064595
Baudier, P., Ammi, C., & Deboeuf-Rouchon, M. (2020). Smart home: Highly-educated students' acceptance. Technological Forecasting and Social Change, 153, 119355. doi:https://doi.org/10.1016/j.techfore.2018.06.043
Bing, K., Fu, L., Zhuo, Y., & Yanlei, L. (2011, 25-28 July 2011). Design of an Internet of Things-based smart home system. Paper presented at the 2011 2nd International Conference on Intelligent Control and Information Processing.
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Computer Communications, 54, 1-31. doi:https://doi.org/10.1016/j.comcom.2014.09.008
Broman Toft, M., & Thøgersen, J. (2015). Exploring private consumers’ willingness to adopt Smart Grid technology. International Journal of Consumer Studies, 39(6), 648-660. doi:https://doi.org/10.1111/ijcs.12201
Chou, J.-S., & Gusti Ayu Novi Yutami, I. (2014). Smart meter adoption and deployment strategy for residential buildings in Indonesia. Applied Energy, 128, 336-349. doi:https://doi.org/10.1016/j.apenergy.2014.04.083
Chou, J.-S., Kim, C., Ung, T.-K., Yutami, I. G. A. N., Lin, G.-T., & Son, H. (2015). Cross-country review of smart grid adoption in residential buildings. Renewable and Sustainable Energy Reviews, 48, 192-213. doi:https://doi.org/10.1016/j.rser.2015.03.055
Chung, T. Y., Mashal, I., Alsaryrah, O., Hsu, T. H., Chang, C. H., & Kuo, W. H. (2014, 8-11 July 2014). Design and implementation of light-weight smart home gateway for Social Web of Things. Paper presented at the 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN).
Coughlan, T., Brown, M., Mortier, R., Houghton, R. J., Goulden, M., & Lawson, G. (2012, 20-23 Nov. 2012). Exploring Acceptance and Consequences of the Internet of Things in the Home. Paper presented at the 2012 IEEE International Conference on Green Computing and Communications.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008
Dillon, A., & Morris, M. G. (1996). User acceptance of new information technology: theories and models.
Domingo, M. C. (2012). An overview of the Internet of Things for people with disabilities. Journal of Network and Computer Applications, 35(2), 584-596. doi:https://doi.org/10.1016/j.jnca.2011.10.015
Ehrenhard, M., Kijl, B., & Nieuwenhuis, L. (2014). Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population. Technological Forecasting and Social Change, 89, 306-315. doi:https://doi.org/10.1016/j.techfore.2014.08.002
Etinger, D., Jeger, L., & Babić, S. (2021, 2021//). The Acceptance Factors of Smart Home Technologies: The Case of Croatian Households. Paper presented at the Advances in Usability, User Experience, Wearable and Assistive Technology, Cham.
FakhrHosseini, S., Chan, K., Lee, C., Jeon, M., Son, H., Rudnik, J., & Coughlin, J. (2022). User Adoption of Intelligent Environments: A Review of Technology Adoption Models, Challenges, and Prospects. International Journal of Human–Computer Interaction, 1-13. doi:10.1080/10447318.2022.2118851
Fang, S., Xu, L., Pei, H., Liu, Y., Liu, Z., Zhu, Y., . . . Zhang, H. (2014). An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management. IEEE Transactions on Industrial Informatics, 10(1), 548-558. doi:10.1109/TII.2013.2257807
Fang, S., Xu, L. D., Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014). An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things. IEEE Transactions on Industrial Informatics, 10(2), 1596-1605. doi:10.1109/TII.2014.2302638
Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18-28. doi:10.1109/MPE.2009.934876
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Forestal, R. L., & Li, E. Y. (2022). Gerontechnology acceptance of smart homes: A systematic review and meta-analysis.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231. doi:10.1108/APJML-06-2013-0061
Gross, C., Siepermann, M., & Lackes, R. (2020, 2020//). The Acceptance of Smart Home Technology. Paper presented at the Perspectives in Business Informatics Research, Cham.
Hammi, B., Zeadally, S., Khatoun, R., & Nebhen, J. (2022). Survey on smart homes: Vulnerabilities, risks, and countermeasures. Computers & Security, 117, 102677. doi:https://doi.org/10.1016/j.cose.2022.102677
Holden, R. J., & Karsh, B.-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159-172. doi:https://doi.org/10.1016/j.jbi.2009.07.002
Hong, A., Nam, C., & Kim, S. (2020). What will be the possible barriers to consumers’ adoption of smart home services? Telecommunications Policy, 44(2), 101867. doi:https://doi.org/10.1016/j.telpol.2019.101867
Hsu, C.-L., & Lin, J. C.-C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516-527. doi:https://doi.org/10.1016/j.chb.2016.04.023
Hsu, C.-L., & Lin, J. C.-C. (2018). Exploring Factors Affecting the Adoption of Internet of Things Services. Journal of Computer Information Systems, 58(1), 49-57. doi:10.1080/08874417.2016.1186524
Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European journal of marketing, 53(6), 1073-1098.
Hwang, H., Suk, J., Kim, K. O., & Hong, J. (2018, 2018//). How Consumers Perceive Home IoT Services for Control, Saving, and Security. Paper presented at the Human Interface and the Management of Information. Information in Applications and Services, Cham.
Ji, W., & Chan, E. H. W. (2020). Between users, functions, and evaluations: Exploring the social acceptance of smart energy homes in China. Energy Research & Social Science, 69, 101637. doi:https://doi.org/10.1016/j.erss.2020.101637
Jose, K, A., & Sia, S. K. (2022). Theory of planned behavior in predicting the construction of eco-friendly houses. Management of Environmental Quality: An International Journal, 33(4), 938-954. doi:10.1108/MEQ-10-2021-0249
Kelly, S. D. T., Suryadevara, N. K., & Mukhopadhyay, S. C. (2013). Towards the Implementation of IoT for Environmental Condition Monitoring in Homes. IEEE Sensors Journal, 13(10), 3846-3853. doi:10.1109/JSEN.2013.2263379
Kim, D., Park, K., Park, Y., & Ahn, J.-H. (2019). Willingness to provide personal information: Perspective of privacy calculus in IoT services. Computers in Human Behavior, 92, 273-281. doi:https://doi.org/10.1016/j.chb.2018.11.022
Kim, S., & Yoon, J. (2016, 2016//). An Exploratory Study on Consumer’s Needs on Smart Home in Korea. Paper presented at the Design, User Experience, and Usability: Technological Contexts, Cham.
Kim, Y., Park, Y., & Choi, J. (2017). A study on the adoption of IoT smart home service: using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149-1165. doi:10.1080/14783363.2017.1310708
Klobas, J. E., McGill, T., & Wang, X. (2019). How perceived security risk affects intention to use smart home devices: A reasoned action explanation. Computers & Security, 87, 101571. doi:https://doi.org/10.1016/j.cose.2019.101571
Kowatsch, T., & Maass, W. (2012, 2012//). Critical Privacy Factors of Internet of Things Services: An Empirical Investigation with Domain Experts. Paper presented at the Knowledge and Technologies in Innovative Information Systems, Berlin, Heidelberg.
Lee, B., Kwon, O., Lee, I., & Kim, J. (2017). Companionship with smart home devices: The impact of social connectedness and interaction types on perceived social support and companionship in smart homes. Computers in Human Behavior, 75, 922-934. doi:https://doi.org/10.1016/j.chb.2017.06.031
Lee, H. (2020). Home IoT resistance: Extended privacy and vulnerability perspective. Telematics and Informatics, 49, 101377. doi:https://doi.org/10.1016/j.tele.2020.101377
Lee, M. (2019). An Empirical Study of Home IoT Services in South Korea: The Moderating Effect of the Usage Experience. International Journal of Human–Computer Interaction, 35(7), 535-547. doi:10.1080/10447318.2018.1480121
Li, L. (2013). Technology designed to combat fakes in the global supply chain. Business Horizons, 56(2), 167-177. doi:https://doi.org/10.1016/j.bushor.2012.11.010
Li, W., Yigitcanlar, T., Erol, I., & Liu, A. (2021). Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework. Energy Research & Social Science, 80, 102211. doi:https://doi.org/10.1016/j.erss.2021.102211
Li, W., Yigitcanlar, T., Liu, A., & Erol, I. (2022). Mapping two decades of smart home research: A systematic scientometric analysis. Technological Forecasting and Social Change, 179, 121676. doi:https://doi.org/10.1016/j.techfore.2022.121676
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal, 4(5), 1125-1142. doi:10.1109/JIOT.2017.2683200
Luor, T., Lu, H.-P., Yu, H., & Lu, Y. (2015). Exploring the critical quality attributes and models of smart homes. Maturitas, 82(4), 377-386. doi:https://doi.org/10.1016/j.maturitas.2015.07.025
Manyika, J., Chui, M., Bisson, P., Woetzel, J., Dobbs, R., Bughin, J., & Aharon, D. (2015). Unlocking the Potential of the Internet of Things. McKinsey Global Institute, 1.
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019a, 2019//). Smart Home Technology Acceptance: An Empirical Investigation. Paper presented at the Digital Transformation for a Sustainable Society in the 21st Century, Cham.
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019b). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change, 138, 139-154. doi:https://doi.org/10.1016/j.techfore.2018.08.015
Mashal, I. (2021). Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-criteria Decision-Making. In M. Rahmani-Andebili (Ed.), Applications of Fuzzy Logic in Planning and Operation of Smart Grids (pp. 67-104). Cham: Springer International Publishing.
Mashal, I. (2022). Smart grid reliability evaluation and assessment. Kybernetes, ahead-of-print(ahead-of-print). doi:10.1108/K-12-2020-0910
Mashal, I., Alsaryrah, O., Chung, T.-Y., Yang, C.-Z., Kuo, W.-H., & Agrawal, D. P. (2015). Choices for interaction with things on Internet and underlying issues. Ad Hoc Networks, 28, 68-90. doi:https://doi.org/10.1016/j.adhoc.2014.12.006
Mashal, I., & Shuhaiber, A. (2019). What makes Jordanian residents buy smart home devices? Kybernetes, 48(8), 1681-1698. doi:10.1108/K-01-2018-0008
Mashal, I., Shuhaiber, A., & Daoud, M. (2020). Factors influencing the acceptance of smart homes in Jordan. International Journal of Electronic Marketing and Retailing, 11(2), 113-142. doi:10.1504/IJEMR.2020.106842
Middleton, P., Koslowski, T., & Angela, M. (2018). Forecast analysis: Internet of Things, endpoints and associated services, worldwide, 2014 update. Gartner Group.
Mocrii, D., Chen, Y., & Musilek, P. (2018). IoT-based smart homes: A review of system architecture, software, communications, privacy and security. Internet of Things, 1-2, 81-98. doi:https://doi.org/10.1016/j.iot.2018.08.009
Muk, A., & Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1-6. doi:https://doi.org/10.1016/j.jbusres.2014.06.001
Nascimento, D. R., Ciano, M. P., Gumz, J., & Fettermann, D. C. (2022). The acceptance process of smart homes by users: a statistical meta-analysis. Behaviour & Information Technology, 1-18. doi:10.1080/0144929X.2022.2146534
Nascimento, D. R., Tortorella, G. L., & Fettermann, D. (2022). Association between the benefits and barriers perceived by the users in smart home services implementation. Kybernetes, ahead-of-print(ahead-of-print). doi:10.1108/K-02-2022-0232
Nikou, S. (2018). CONSUMERS’PERCEPTIONS ON SMART HOME AND SMART LIVING.
Nikou, S. (2019). Factors driving the adoption of smart home technology: An empirical assessment. Telematics and Informatics, 45, 101283. doi:https://doi.org/10.1016/j.tele.2019.101283
Oyinlola Ayodimeji, Z., Janardhanan, M., Marinelli, M., & Patel, I. (2021, 2021//). Adoption of Smart Homes in the UK: Customers’ Perspective. Paper presented at the Advances in Interdisciplinary Engineering, Singapore.
Paetz, A.-G., Dütschke, E., & Fichtner, W. (2012). Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions. Journal of Consumer Policy, 35(1), 23-41. doi:10.1007/s10603-011-9177-2
Pal, D., Funilkul, S., Vanijja, V., & Papasratorn, B. (2018). Analyzing the Elderly Users’ Adoption of Smart-Home Services. IEEE Access, 6, 51238-51252. doi:10.1109/ACCESS.2018.2869599
Pal, D., Zhang, X., & Siyal, S. (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, 66, 101683. doi:https://doi.org/10.1016/j.techsoc.2021.101683
Pang, Z., Zheng, L., Tian, J., Kao-Walter, S., Dubrova, E., & Chen, Q. (2015). Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things. Enterprise Information Systems, 9(1), 86-116. doi:10.1080/17517575.2013.776118
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet of Things Journal, 4(6), 2342-2350. doi:10.1109/JIOT.2017.2750765
Park, E., Kim, S., Kim, Y., & 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(1), 175-190. doi:10.1007/s10209-017-0533-0
Pirzada, P., Wilde, A., Doherty, G. H., & Harris-Birtill, D. (2022). Ethics and acceptance of smart homes for older adults. Informatics for Health and Social Care, 47(1), 10-37. doi:10.1080/17538157.2021.1923500
Risteska Stojkoska, B. L., & Trivodaliev, K. V. (2017). A review of Internet of Things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454-1464. doi:https://doi.org/10.1016/j.jclepro.2016.10.006
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432-448): Routledge.
Salomon, G., & Müller, P. (2019). Success Factors for the Acceptance of Smart Home Technology Concepts. In A. Lochmahr, P. Müller, P. Planing, & T. Popović (Eds.), Digitalen Wandel gestalten: Transdisziplinäre Ansätze aus Wissenschaft und Wirtschaft (pp. 205-215). Wiesbaden: Springer Fachmedien Wiesbaden.
Sanguinetti, A., Karlin, B., & Ford, R. (2018). Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process. Energy Research & Social Science, 46, 274-283. doi:https://doi.org/10.1016/j.erss.2018.08.002
Schomakers, E.-M., Biermann, H., & Ziefle, M. (2020, 2020//). Understanding Privacy and Trust in Smart Home Environments. Paper presented at the HCI for Cybersecurity, Privacy and Trust, Cham.
Shanthana Lakshmi, S., & Deepak, G. (2021, 2021//). The Smart Set: A Study on the Factors that Affect the Adoption of Smart Home Technology. Paper presented at the Machine Learning for Predictive Analysis, Singapore.
Sharma, B. K., & Kuknor, S. C. (2021, 24-26 Nov. 2021). Smart Homes adoption in India – Value-based Adoption Approach. Paper presented at the 2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD).
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. doi:https://doi.org/10.1016/j.techfore.2018.06.029
Shuhaiber, A., & Mashal, I. (2019). Understanding users’ acceptance of smart homes. Technology in Society, 58, 101110. doi:https://doi.org/10.1016/j.techsoc.2019.01.003
Shuhaiber, A., Mashal, I., & Alsaryrah, O. (2019a, 19-21 Nov. 2019). The Role of Smart Homes’ Attributes on Users’ Acceptance. Paper presented at the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
Shuhaiber, A., Mashal, I., & Alsaryrah, O. (2019b, 3-7 Nov. 2019). Smart Homes as an IoT Application: Predicting Attitudes and Behaviours. Paper presented at the 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA).
Sorwar, G., Aggar, C., Penman, O., Seton, C., & Ward, A. (2022). Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data. Informatics for Health and Social Care, 48(1), 80-94. doi:10.1080/17538157.2022.2069028
Theodoridis, E., Mylonas, G., & Chatzigiannakis, I. (2013, 10-12 July 2013). Developing an IoT Smart City framework. Paper presented at the IISA 2013.
Toschi, G. M., Campos, L. B., & Cugnasca, C. E. (2017). Home automation networks: A survey. Computer Standards & Interfaces, 50, 42-54. doi:https://doi.org/10.1016/j.csi.2016.08.008
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. doi:https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. Retrieved from http://www.jstor.org/stable/2634758
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. doi:10.2307/30036540
Vrain, E., & Wilson, C. (2021). Social networks and communication behaviour underlying smart home adoption in the UK. Environmental Innovation and Societal Transitions, 38, 82-97. doi:https://doi.org/10.1016/j.eist.2020.11.003
Wang, X., McGill, T. J., & Klobas, J. E. (2020). I Want It Anyway: Consumer Perceptions of Smart Home Devices. Journal of Computer Information Systems, 60(5), 437-447. doi:10.1080/08874417.2018.1528486
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-488. doi:10.1108/JEIM-09-2014-0088
Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2015). Smart homes and their users: a systematic analysis and key challenges. Personal and Ubiquitous Computing, 19(2), 463-476. doi:10.1007/s00779-014-0813-0
Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2017). Benefits and risks of smart home technologies. Energy Policy, 103, 72-83. doi:https://doi.org/10.1016/j.enpol.2016.12.047
Wright, D., Shank, D. B., & Yarbrough, T. (2022). Outcomes of training in smart home technology adoption: a living laboratory study. Commun. Des. Q. Rev, 9(3), 14–26. doi:10.1145/3468859.3468861
Wu, C. L., Liao, C. F., & Fu, L. C. (2007). Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(2), 193-205. doi:10.1109/TSMCC.2006.886997
Xu, L. D., He, W., & Li, S. (2014). Internet of Things in Industries: A Survey. IEEE Transactions on Industrial Informatics, 10(4), 2233-2243. doi:10.1109/TII.2014.2300753
Yang, H., Lee, H., & Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industrial Management & Data Systems, 117(1), 68-89. doi:10.1108/IMDS-01-2016-0017
Yang, H., Lee, W., & Lee, H. (2018). IoT Smart Home Adoption: The Importance of Proper Level Automation. Journal of Sensors, 2018, 6464036. doi:10.1155/2018/6464036
Zhang, W., & Liu, L. (2022a). How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model. The Annals of Regional Science, 68(2), 307-330. doi:10.1007/s00168-021-01082-x
Zhang, W., & Liu, L. (2022b). 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. doi:10.1080/09640568.2021.1880379
Zhang, W., & Luo, B. (2022). Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior. Economic Change and Restructuring. doi:10.1007/s10644-022-09477-2
Ahn, M., Kang, J., & Hustvedt, G. (2016). A model of sustainable household technology acceptance. International Journal of Consumer Studies, 40(1), 83-91. doi:https://doi.org/10.1111/ijcs.12217
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. doi:https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I., & Fishbein, M. (1973). Attitudinal and normative variables as predictors of specific behavior. Journal of Personality and Social Psychology, 27, 41-57. doi:10.1037/h0034440
Al-Bashayreh, M., Almajali, D., Al-Okaily, M., Masa’deh, R. e., & Samed Al-Adwan, A. (2022). Evaluating Electronic Customer Relationship Management System Success: The Mediating Role of Customer Satisfaction. Sustainability, 14(19), 12310. Retrieved from https://www.mdpi.com/2071-1050/14/19/12310
Al-Bashayreh, M., Almajali, D., Altamimi, A., Masa’deh, R. e., & Al-Okaily, M. (2022). An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage. Sustainability, 14(7), 4325. Retrieved from https://www.mdpi.com/2071-1050/14/7/4325
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376. doi:10.1109/COMST.2015.2444095
Alaiad, A., & Zhou, L. (2017). Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers. IEEE Transactions on Professional Communication, 60(1), 4-23. doi:10.1109/TPC.2016.2632822
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. doi:10.1080/08874417.2018.1543000
Alsulami, M. H., & Atkins, A. S. (2016). Factors Influencing Ageing Population for Adopting Ambient Assisted Living Technologies in the Kingdom of Saudi Arabia. Ageing International, 41(3), 227-239. doi:10.1007/s12126-016-9246-6
Altamimi, A., Al-Bashayreh, M., AL-Oudat, M., & Almajali, D. (2022). Blockchain technology adoption for sustainable learning. International Journal of Data and Network Science, 6(3), 983-994.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805. doi:https://doi.org/10.1016/j.comnet.2010.05.010
Augusto, J. C., & Nugent, C. D. (2006). Smart Homes Can Be Smarter. In J. C. Augusto & C. D. Nugent (Eds.), Designing Smart Homes: The Role of Artificial Intelligence (pp. 1-15). Berlin, Heidelberg: Springer Berlin Heidelberg.
Ayan, O., & Türkay, B. (2021, 6-8 Oct. 2021). Factors Affecting the Adoption of Smart Home Systems in the Context of Technology Acceptance Model. Paper presented at the 2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
Balta-Ozkan, N., Amerighi, O., & Boteler, B. (2014). A comparison of consumer perceptions towards smart homes in the UK, Germany and Italy: reflections for policy and future research. Technology Analysis & Strategic Management, 26(10), 1176-1195. doi:10.1080/09537325.2014.975788
Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363-374. doi:https://doi.org/10.1016/j.enpol.2013.08.043
Bao, H., Chong, A. Y. L., Ooi, K. B., & Lin, B. (2014). Are Chinese consumers ready to adopt mobile smart home? An empirical analysis. International Journal of Mobile Communications, 12(5), 496-511. doi:10.1504/IJMC.2014.064595
Baudier, P., Ammi, C., & Deboeuf-Rouchon, M. (2020). Smart home: Highly-educated students' acceptance. Technological Forecasting and Social Change, 153, 119355. doi:https://doi.org/10.1016/j.techfore.2018.06.043
Bing, K., Fu, L., Zhuo, Y., & Yanlei, L. (2011, 25-28 July 2011). Design of an Internet of Things-based smart home system. Paper presented at the 2011 2nd International Conference on Intelligent Control and Information Processing.
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Computer Communications, 54, 1-31. doi:https://doi.org/10.1016/j.comcom.2014.09.008
Broman Toft, M., & Thøgersen, J. (2015). Exploring private consumers’ willingness to adopt Smart Grid technology. International Journal of Consumer Studies, 39(6), 648-660. doi:https://doi.org/10.1111/ijcs.12201
Chou, J.-S., & Gusti Ayu Novi Yutami, I. (2014). Smart meter adoption and deployment strategy for residential buildings in Indonesia. Applied Energy, 128, 336-349. doi:https://doi.org/10.1016/j.apenergy.2014.04.083
Chou, J.-S., Kim, C., Ung, T.-K., Yutami, I. G. A. N., Lin, G.-T., & Son, H. (2015). Cross-country review of smart grid adoption in residential buildings. Renewable and Sustainable Energy Reviews, 48, 192-213. doi:https://doi.org/10.1016/j.rser.2015.03.055
Chung, T. Y., Mashal, I., Alsaryrah, O., Hsu, T. H., Chang, C. H., & Kuo, W. H. (2014, 8-11 July 2014). Design and implementation of light-weight smart home gateway for Social Web of Things. Paper presented at the 2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN).
Coughlan, T., Brown, M., Mortier, R., Houghton, R. J., Goulden, M., & Lawson, G. (2012, 20-23 Nov. 2012). Exploring Acceptance and Consequences of the Internet of Things in the Home. Paper presented at the 2012 IEEE International Conference on Green Computing and Communications.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. doi:10.2307/249008
Dillon, A., & Morris, M. G. (1996). User acceptance of new information technology: theories and models.
Domingo, M. C. (2012). An overview of the Internet of Things for people with disabilities. Journal of Network and Computer Applications, 35(2), 584-596. doi:https://doi.org/10.1016/j.jnca.2011.10.015
Ehrenhard, M., Kijl, B., & Nieuwenhuis, L. (2014). Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population. Technological Forecasting and Social Change, 89, 306-315. doi:https://doi.org/10.1016/j.techfore.2014.08.002
Etinger, D., Jeger, L., & Babić, S. (2021, 2021//). The Acceptance Factors of Smart Home Technologies: The Case of Croatian Households. Paper presented at the Advances in Usability, User Experience, Wearable and Assistive Technology, Cham.
FakhrHosseini, S., Chan, K., Lee, C., Jeon, M., Son, H., Rudnik, J., & Coughlin, J. (2022). User Adoption of Intelligent Environments: A Review of Technology Adoption Models, Challenges, and Prospects. International Journal of Human–Computer Interaction, 1-13. doi:10.1080/10447318.2022.2118851
Fang, S., Xu, L., Pei, H., Liu, Y., Liu, Z., Zhu, Y., . . . Zhang, H. (2014). An Integrated Approach to Snowmelt Flood Forecasting in Water Resource Management. IEEE Transactions on Industrial Informatics, 10(1), 548-558. doi:10.1109/TII.2013.2257807
Fang, S., Xu, L. D., Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014). An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things. IEEE Transactions on Industrial Informatics, 10(2), 1596-1605. doi:10.1109/TII.2014.2302638
Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18-28. doi:10.1109/MPE.2009.934876
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Forestal, R. L., & Li, E. Y. (2022). Gerontechnology acceptance of smart homes: A systematic review and meta-analysis.
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231. doi:10.1108/APJML-06-2013-0061
Gross, C., Siepermann, M., & Lackes, R. (2020, 2020//). The Acceptance of Smart Home Technology. Paper presented at the Perspectives in Business Informatics Research, Cham.
Hammi, B., Zeadally, S., Khatoun, R., & Nebhen, J. (2022). Survey on smart homes: Vulnerabilities, risks, and countermeasures. Computers & Security, 117, 102677. doi:https://doi.org/10.1016/j.cose.2022.102677
Holden, R. J., & Karsh, B.-T. (2010). The Technology Acceptance Model: Its past and its future in health care. Journal of Biomedical Informatics, 43(1), 159-172. doi:https://doi.org/10.1016/j.jbi.2009.07.002
Hong, A., Nam, C., & Kim, S. (2020). What will be the possible barriers to consumers’ adoption of smart home services? Telecommunications Policy, 44(2), 101867. doi:https://doi.org/10.1016/j.telpol.2019.101867
Hsu, C.-L., & Lin, J. C.-C. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516-527. doi:https://doi.org/10.1016/j.chb.2016.04.023
Hsu, C.-L., & Lin, J. C.-C. (2018). Exploring Factors Affecting the Adoption of Internet of Things Services. Journal of Computer Information Systems, 58(1), 49-57. doi:10.1080/08874417.2016.1186524
Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European journal of marketing, 53(6), 1073-1098.
Hwang, H., Suk, J., Kim, K. O., & Hong, J. (2018, 2018//). How Consumers Perceive Home IoT Services for Control, Saving, and Security. Paper presented at the Human Interface and the Management of Information. Information in Applications and Services, Cham.
Ji, W., & Chan, E. H. W. (2020). Between users, functions, and evaluations: Exploring the social acceptance of smart energy homes in China. Energy Research & Social Science, 69, 101637. doi:https://doi.org/10.1016/j.erss.2020.101637
Jose, K, A., & Sia, S. K. (2022). Theory of planned behavior in predicting the construction of eco-friendly houses. Management of Environmental Quality: An International Journal, 33(4), 938-954. doi:10.1108/MEQ-10-2021-0249
Kelly, S. D. T., Suryadevara, N. K., & Mukhopadhyay, S. C. (2013). Towards the Implementation of IoT for Environmental Condition Monitoring in Homes. IEEE Sensors Journal, 13(10), 3846-3853. doi:10.1109/JSEN.2013.2263379
Kim, D., Park, K., Park, Y., & Ahn, J.-H. (2019). Willingness to provide personal information: Perspective of privacy calculus in IoT services. Computers in Human Behavior, 92, 273-281. doi:https://doi.org/10.1016/j.chb.2018.11.022
Kim, S., & Yoon, J. (2016, 2016//). An Exploratory Study on Consumer’s Needs on Smart Home in Korea. Paper presented at the Design, User Experience, and Usability: Technological Contexts, Cham.
Kim, Y., Park, Y., & Choi, J. (2017). A study on the adoption of IoT smart home service: using Value-based Adoption Model. Total Quality Management & Business Excellence, 28(9-10), 1149-1165. doi:10.1080/14783363.2017.1310708
Klobas, J. E., McGill, T., & Wang, X. (2019). How perceived security risk affects intention to use smart home devices: A reasoned action explanation. Computers & Security, 87, 101571. doi:https://doi.org/10.1016/j.cose.2019.101571
Kowatsch, T., & Maass, W. (2012, 2012//). Critical Privacy Factors of Internet of Things Services: An Empirical Investigation with Domain Experts. Paper presented at the Knowledge and Technologies in Innovative Information Systems, Berlin, Heidelberg.
Lee, B., Kwon, O., Lee, I., & Kim, J. (2017). Companionship with smart home devices: The impact of social connectedness and interaction types on perceived social support and companionship in smart homes. Computers in Human Behavior, 75, 922-934. doi:https://doi.org/10.1016/j.chb.2017.06.031
Lee, H. (2020). Home IoT resistance: Extended privacy and vulnerability perspective. Telematics and Informatics, 49, 101377. doi:https://doi.org/10.1016/j.tele.2020.101377
Lee, M. (2019). An Empirical Study of Home IoT Services in South Korea: The Moderating Effect of the Usage Experience. International Journal of Human–Computer Interaction, 35(7), 535-547. doi:10.1080/10447318.2018.1480121
Li, L. (2013). Technology designed to combat fakes in the global supply chain. Business Horizons, 56(2), 167-177. doi:https://doi.org/10.1016/j.bushor.2012.11.010
Li, W., Yigitcanlar, T., Erol, I., & Liu, A. (2021). Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework. Energy Research & Social Science, 80, 102211. doi:https://doi.org/10.1016/j.erss.2021.102211
Li, W., Yigitcanlar, T., Liu, A., & Erol, I. (2022). Mapping two decades of smart home research: A systematic scientometric analysis. Technological Forecasting and Social Change, 179, 121676. doi:https://doi.org/10.1016/j.techfore.2022.121676
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal, 4(5), 1125-1142. doi:10.1109/JIOT.2017.2683200
Luor, T., Lu, H.-P., Yu, H., & Lu, Y. (2015). Exploring the critical quality attributes and models of smart homes. Maturitas, 82(4), 377-386. doi:https://doi.org/10.1016/j.maturitas.2015.07.025
Manyika, J., Chui, M., Bisson, P., Woetzel, J., Dobbs, R., Bughin, J., & Aharon, D. (2015). Unlocking the Potential of the Internet of Things. McKinsey Global Institute, 1.
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019a, 2019//). Smart Home Technology Acceptance: An Empirical Investigation. Paper presented at the Digital Transformation for a Sustainable Society in the 21st Century, Cham.
Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019b). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change, 138, 139-154. doi:https://doi.org/10.1016/j.techfore.2018.08.015
Mashal, I. (2021). Evaluation and Assessment of Smart Grid Reliability Using Fuzzy Multi-criteria Decision-Making. In M. Rahmani-Andebili (Ed.), Applications of Fuzzy Logic in Planning and Operation of Smart Grids (pp. 67-104). Cham: Springer International Publishing.
Mashal, I. (2022). Smart grid reliability evaluation and assessment. Kybernetes, ahead-of-print(ahead-of-print). doi:10.1108/K-12-2020-0910
Mashal, I., Alsaryrah, O., Chung, T.-Y., Yang, C.-Z., Kuo, W.-H., & Agrawal, D. P. (2015). Choices for interaction with things on Internet and underlying issues. Ad Hoc Networks, 28, 68-90. doi:https://doi.org/10.1016/j.adhoc.2014.12.006
Mashal, I., & Shuhaiber, A. (2019). What makes Jordanian residents buy smart home devices? Kybernetes, 48(8), 1681-1698. doi:10.1108/K-01-2018-0008
Mashal, I., Shuhaiber, A., & Daoud, M. (2020). Factors influencing the acceptance of smart homes in Jordan. International Journal of Electronic Marketing and Retailing, 11(2), 113-142. doi:10.1504/IJEMR.2020.106842
Middleton, P., Koslowski, T., & Angela, M. (2018). Forecast analysis: Internet of Things, endpoints and associated services, worldwide, 2014 update. Gartner Group.
Mocrii, D., Chen, Y., & Musilek, P. (2018). IoT-based smart homes: A review of system architecture, software, communications, privacy and security. Internet of Things, 1-2, 81-98. doi:https://doi.org/10.1016/j.iot.2018.08.009
Muk, A., & Chung, C. (2015). Applying the technology acceptance model in a two-country study of SMS advertising. Journal of Business Research, 68(1), 1-6. doi:https://doi.org/10.1016/j.jbusres.2014.06.001
Nascimento, D. R., Ciano, M. P., Gumz, J., & Fettermann, D. C. (2022). The acceptance process of smart homes by users: a statistical meta-analysis. Behaviour & Information Technology, 1-18. doi:10.1080/0144929X.2022.2146534
Nascimento, D. R., Tortorella, G. L., & Fettermann, D. (2022). Association between the benefits and barriers perceived by the users in smart home services implementation. Kybernetes, ahead-of-print(ahead-of-print). doi:10.1108/K-02-2022-0232
Nikou, S. (2018). CONSUMERS’PERCEPTIONS ON SMART HOME AND SMART LIVING.
Nikou, S. (2019). Factors driving the adoption of smart home technology: An empirical assessment. Telematics and Informatics, 45, 101283. doi:https://doi.org/10.1016/j.tele.2019.101283
Oyinlola Ayodimeji, Z., Janardhanan, M., Marinelli, M., & Patel, I. (2021, 2021//). Adoption of Smart Homes in the UK: Customers’ Perspective. Paper presented at the Advances in Interdisciplinary Engineering, Singapore.
Paetz, A.-G., Dütschke, E., & Fichtner, W. (2012). Smart Homes as a Means to Sustainable Energy Consumption: A Study of Consumer Perceptions. Journal of Consumer Policy, 35(1), 23-41. doi:10.1007/s10603-011-9177-2
Pal, D., Funilkul, S., Vanijja, V., & Papasratorn, B. (2018). Analyzing the Elderly Users’ Adoption of Smart-Home Services. IEEE Access, 6, 51238-51252. doi:10.1109/ACCESS.2018.2869599
Pal, D., Zhang, X., & Siyal, S. (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, 66, 101683. doi:https://doi.org/10.1016/j.techsoc.2021.101683
Pang, Z., Zheng, L., Tian, J., Kao-Walter, S., Dubrova, E., & Chen, Q. (2015). Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things. Enterprise Information Systems, 9(1), 86-116. doi:10.1080/17517575.2013.776118
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet of Things Journal, 4(6), 2342-2350. doi:10.1109/JIOT.2017.2750765
Park, E., Kim, S., Kim, Y., & 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(1), 175-190. doi:10.1007/s10209-017-0533-0
Pirzada, P., Wilde, A., Doherty, G. H., & Harris-Birtill, D. (2022). Ethics and acceptance of smart homes for older adults. Informatics for Health and Social Care, 47(1), 10-37. doi:10.1080/17538157.2021.1923500
Risteska Stojkoska, B. L., & Trivodaliev, K. V. (2017). A review of Internet of Things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454-1464. doi:https://doi.org/10.1016/j.jclepro.2016.10.006
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432-448): Routledge.
Salomon, G., & Müller, P. (2019). Success Factors for the Acceptance of Smart Home Technology Concepts. In A. Lochmahr, P. Müller, P. Planing, & T. Popović (Eds.), Digitalen Wandel gestalten: Transdisziplinäre Ansätze aus Wissenschaft und Wirtschaft (pp. 205-215). Wiesbaden: Springer Fachmedien Wiesbaden.
Sanguinetti, A., Karlin, B., & Ford, R. (2018). Understanding the path to smart home adoption: Segmenting and describing consumers across the innovation-decision process. Energy Research & Social Science, 46, 274-283. doi:https://doi.org/10.1016/j.erss.2018.08.002
Schomakers, E.-M., Biermann, H., & Ziefle, M. (2020, 2020//). Understanding Privacy and Trust in Smart Home Environments. Paper presented at the HCI for Cybersecurity, Privacy and Trust, Cham.
Shanthana Lakshmi, S., & Deepak, G. (2021, 2021//). The Smart Set: A Study on the Factors that Affect the Adoption of Smart Home Technology. Paper presented at the Machine Learning for Predictive Analysis, Singapore.
Sharma, B. K., & Kuknor, S. C. (2021, 24-26 Nov. 2021). Smart Homes adoption in India – Value-based Adoption Approach. Paper presented at the 2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD).
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. doi:https://doi.org/10.1016/j.techfore.2018.06.029
Shuhaiber, A., & Mashal, I. (2019). Understanding users’ acceptance of smart homes. Technology in Society, 58, 101110. doi:https://doi.org/10.1016/j.techsoc.2019.01.003
Shuhaiber, A., Mashal, I., & Alsaryrah, O. (2019a, 19-21 Nov. 2019). The Role of Smart Homes’ Attributes on Users’ Acceptance. Paper presented at the 2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA).
Shuhaiber, A., Mashal, I., & Alsaryrah, O. (2019b, 3-7 Nov. 2019). Smart Homes as an IoT Application: Predicting Attitudes and Behaviours. Paper presented at the 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA).
Sorwar, G., Aggar, C., Penman, O., Seton, C., & Ward, A. (2022). Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data. Informatics for Health and Social Care, 48(1), 80-94. doi:10.1080/17538157.2022.2069028
Theodoridis, E., Mylonas, G., & Chatzigiannakis, I. (2013, 10-12 July 2013). Developing an IoT Smart City framework. Paper presented at the IISA 2013.
Toschi, G. M., Campos, L. B., & Cugnasca, C. E. (2017). Home automation networks: A survey. Computer Standards & Interfaces, 50, 42-54. doi:https://doi.org/10.1016/j.csi.2016.08.008
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. doi:https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. Retrieved from http://www.jstor.org/stable/2634758
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. doi:10.2307/30036540
Vrain, E., & Wilson, C. (2021). Social networks and communication behaviour underlying smart home adoption in the UK. Environmental Innovation and Societal Transitions, 38, 82-97. doi:https://doi.org/10.1016/j.eist.2020.11.003
Wang, X., McGill, T. J., & Klobas, J. E. (2020). I Want It Anyway: Consumer Perceptions of Smart Home Devices. Journal of Computer Information Systems, 60(5), 437-447. doi:10.1080/08874417.2018.1528486
Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management, 28(3), 443-488. doi:10.1108/JEIM-09-2014-0088
Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2015). Smart homes and their users: a systematic analysis and key challenges. Personal and Ubiquitous Computing, 19(2), 463-476. doi:10.1007/s00779-014-0813-0
Wilson, C., Hargreaves, T., & Hauxwell-Baldwin, R. (2017). Benefits and risks of smart home technologies. Energy Policy, 103, 72-83. doi:https://doi.org/10.1016/j.enpol.2016.12.047
Wright, D., Shank, D. B., & Yarbrough, T. (2022). Outcomes of training in smart home technology adoption: a living laboratory study. Commun. Des. Q. Rev, 9(3), 14–26. doi:10.1145/3468859.3468861
Wu, C. L., Liao, C. F., & Fu, L. C. (2007). Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37(2), 193-205. doi:10.1109/TSMCC.2006.886997
Xu, L. D., He, W., & Li, S. (2014). Internet of Things in Industries: A Survey. IEEE Transactions on Industrial Informatics, 10(4), 2233-2243. doi:10.1109/TII.2014.2300753
Yang, H., Lee, H., & Zo, H. (2017). User acceptance of smart home services: an extension of the theory of planned behavior. Industrial Management & Data Systems, 117(1), 68-89. doi:10.1108/IMDS-01-2016-0017
Yang, H., Lee, W., & Lee, H. (2018). IoT Smart Home Adoption: The Importance of Proper Level Automation. Journal of Sensors, 2018, 6464036. doi:10.1155/2018/6464036
Zhang, W., & Liu, L. (2022a). How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model. The Annals of Regional Science, 68(2), 307-330. doi:10.1007/s00168-021-01082-x
Zhang, W., & Liu, L. (2022b). 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. doi:10.1080/09640568.2021.1880379
Zhang, W., & Luo, B. (2022). Predicting consumer intention toward eco-friendly smart home services: extending the theory of planned behavior. Economic Change and Restructuring. doi:10.1007/s10644-022-09477-2