Abstract
The objective of this study was to analyse the adoption of the Internet of Things (IoT) in the home. An exploratory study integrating technology adoption models and domestication theory was designed. The data was collected in Spain and Colombia and 405 online surveys were obtained. For the creation of the measurement and analysis tool, the statistical program Smart PLS was used. The results found that for the adoption of the Internet of Things in the home, the degree of importance of the Internet in people’s lives is decisive, as well as the degree of perception of future benefit from its use and perceived enjoyment. The process of Internet domestication generates the intention and, therefore, the use of the Internet of Things technologies in the home.
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References
Abushakra, A., Nikbin, D.: Extending the UTAUT2 model to understand the entrepreneur acceptance and adopting Internet of Things (IoT). In: Uden, L., Ting, I.-H., Corchado, J.M. (eds.) KMO 2019. CCIS, vol. 1027, pp. 339–347. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21451-7_29
Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–2113 (1991)
Al-Husamiyah, A., Al-Bashayreh, M.: A comprehensive acceptance model for smart home services. Int. J. Data Netw. Sci. 6(1), 45–58 (2022). https://doi.org/10.5267/j.ijdns.2021.10.005
de Boer, P.S., van Deursen, A.J.A.M., van Rompay, T.J.L.: Accepting the Internet-of-Things in our homes: the role of user skills. Telematics Inform. 36, 147–156 (2019). https://doi.org/10.1016/j.tele.2018.12.004
Brause, S.R., Blank, G.: Externalized domestication: smart speaker assistants, networks and domestication theory. Inf. Commun. Soc. 23(5), 751–763 (2020). https://doi.org/10.1080/1369118X.2020.1713845
Brous, P., Janssen, M., Herder, P.: Internet of Things adoption for reconfiguring decision-making processes in asset management. Bus. Process. Manag. J. 25(3), 495–511 (2019). https://doi.org/10.1108/BPMJ-11-2017-0328
Casaló, L.V., Cisneros, J., Flavián, C., Guinalíu, M.: Determinants of success in open source software networks. Ind. Manag. Data Syst. (2009). https://doi.org/10.1108/02635570910948650
Celik, H.: Customer online shopping anxiety within the unified theory of acceptance and use technology (UTAUT) framework. Asia Pac. J. Mark. Logist. 28(2), 278–307 (2016). https://doi.org/10.1108/APJML-05-2015-0077
Chang, I.C., Chou, P.C., Yeh, R.K.J., Tseng, H.T.: Factors influencing Chinese tourists’ intentions to use the Taiwan medical travel app. Telematics Inform. 33(2), 401–409 (2016). https://doi.org/10.1016/j.tele.2015.09.007
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989). https://doi.org/10.2307/249008
Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man Mach. Stud. 38(3), 475–487 (1993). https://doi.org/10.1006/imms.1993.1022
van Deursen, A.J.A.M., van der Zeeuw, A., de Boer, P., Jansen, G., van Rompay, T.: Digital inequalities in the Internet of Things: differences in attitudes, material access, skills, and usage. Inform. Commun. Soc. 24(2), 258–276 (2019). https://doi.org/10.1080/1369118x.2019.1646777
Van Deursen, A.J.A.M., Van Dijk, J.A.G.M.: The first-level digital divide shifts from inequalities in physical access to inequalities in material access. New Media Soc. 21(2), 354–375 (2019). https://doi.org/10.1177/1461444818797082
Fishbein, M., Ajzen, I.: Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975). https://doi.org/10.1017/CBO9781107415324.004
Garg, R., Cui, H.: Social contexts, agency, and conflicts: exploring critical aspects of design for future smart home technologies. ACM Trans. Comput. Hum. Interact. 29(2), 1–30 (2022)
Gefen, D., Straub, D.W., Boudreau, M.-C.: Structural equation modeling and regression: guidelines for research practice. Commun. Assoc. Inf. Syst. 4(4), 2–76 (2000). https://doi.org/10.17705/1CAIS.00407
Gonçalves, S.C., Barbosa, B., Rocha, A.: Perceptions and intentions of adopting the Internet of Things by generation Z. In: CBU International Conference Proceedings, vol. 7, September 2019. https://doi.org/10.12955/cbup.v7.1346
Haddon, L.: The contribution of domestication research to in-home computing and media consumption. Inf. Soc. 22(4), 195–203 (2006). https://doi.org/10.1080/01972240600791325
Hair Jr, J.F., Hult, G.T.M., Ringle, C., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Long Range Planning. Sage, Thousand Oaks (2014). https://doi.org/10.1016/j.lrp.2013.01.002
Hair, J.F., Ringle, C.M., Sarstedt, M.: Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance. Long Range Plann. 46(1–2), 1–12 (2013). https://doi.org/10.1016/j.lrp.2013.01.001
Hair, J.F., Risher, J.J., Sarstedt, M., Ringle, C.M.: When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31(1), 2–24 (2019). https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modeling. J. Acad. Mark. Sci. 43(1), 115–135 (2014). https://doi.org/10.1007/s11747-014-0403-8
Hermanu, C., Maghfiroh, H., Santoso, H.P., Arifin, Z., Harsito, C.: Dual mode system of smart home based on Internet of Things. J. Robot. Control (JRC) 3(1), 26–31 (2022). https://doi.org/10.18196/jrc.v3i1.10961
Hirschman, E.C.: Experience seeking: a subjectivist perspective of consumption. J. Bus. Res. 12(1), 115–136 (1984). https://doi.org/10.1016/0148-2963(84)90042-0
Hong, A., Nam, C., Kim, S.: What will be the possible barriers to consumers’ adoption of smart home services? Telecommun. Policy 44(2), 101867 (2020). https://doi.org/10.1016/j.telpol.2019.101867
Hynes, D., Richardson, H.: What use is domestication theory to information systems research? In: Handbook of Research on Contemporary Theoretical Models in Information Systems, pp. 482–494 (2009). https://doi.org/10.4018/978-1-60566-659-4.ch027
Kao, Y.S., Nawata, K., Huang, C.Y.: An exploration and confirmation of the factors influencing adoption of IoT-basedwearable fitness trackers. Int. J. Environ. Res. Public Health 16(18), 3227 (2019). https://doi.org/10.3390/ijerph16183227
Kumar, A., Sharma, S., Singh, A., Alwadain, A., Choi, B.-J.: Revolutionary strategies analysis and proposed system for future infrastructure in Internet of Things. Sustainability 14(71), 1–36 (2022)
Kumar, D., et al.: All things considered: an analysis of IoT devices on home networks. In: Proceedings of the 28th USENIX Security Symposium, pp. 1169–1185 (2019)
Lee, H.: Home IoT resistance: extended privacy and vulnerability perspective. Telematics Inform. 49, 101377 (2020). https://doi.org/10.1016/j.tele.2020.101377
Lee, W., Shin, S.: An empirical study of consumer adoption of internet of things services. Int. J. Eng. Technol. Innov. 9(1), 1–11 (2019)
Lu, Y., Papagiannidis, S., Alamanos, E.: Internet of Things: a systematic review of the business literature from the user and organisational perspectives. Technol. Forecast. Soc. Change 136, 285–297 (2018). https://doi.org/10.1016/j.techfore.2018.01.022
Malaquias, R.F., Albertin, A.L.: Challenges for development and technological advancement: an analysis of Latin America. Inf. Dev. 35(3), 413–420 (2019). https://doi.org/10.1177/0266666918756170
Minoli, D.: Positioning of blockchain mechanisms in IOT-powered smart home systems: a gateway-based approach. Internet Things 10, 100147 (2020). https://doi.org/10.1016/j.iot.2019.100147
Mital, M., Chang, V., Choudhary, P., Papa, A., Pani, A.K.: Adoption of Internet of Things in India: a test of competing models using a structured equation modeling approach. Technol. Forecast. Soc. Change 136, 339–346 (2018). https://doi.org/10.1016/j.techfore.2017.03.001
Momani, A.M., Jamous, M.M.: The evolution of technology acceptance theories. Int. J. Contemp. Comput. Res. 1(1), 51–58 (2017)
Park, S.E.: Technological convergence: regulatory, digital privacy, and data security issues. Congressional Research Service, pp. 1–23 (2019)
Rahimi, M., Songhorabadi, M., Kashani, M.H.: Fog-based smart homes: a systematic review. J. Netw. Comput. Appl. 153, 102531 (2020). https://doi.org/10.1016/j.jnca.2020.102531
Rayes, A., Salam, S.: The Internet of Things From Hype to Reality. Springer, Cham (2019). https://doi.org/10.1364/opn.28.9.000026
Reisdorf, B.C., Groselj, D.: Digital divides, usability, and social inclusion: evidence from the field of E-services in the United Kingdom. In: Social Inclusion and Usability of ICT-Enabled Services (2017). https://doi.org/10.4324/9781315677316
Rogers, E.M.: Diffusion of Innovations. Edited by FP. The Free Press, New York (1995)
Sánchez-Torres, J.A.: Moderating effect of the digital divide of E-commerce. Int. J. Soc. Econ. 46(12), 1387–1400 (2019). https://doi.org/10.1108/IJSE-11-2018-0622
Sánchez-Torres, J.A., Arroyo-Cañada, F.J., Rojas-Berrio, S.P., Robayo-Pinzón, O.J., Fontalvo-Cerpa, W.: The Colombian electronic consumer: analysis of the leading factors of e-commerce use. Int. J. Electron. Mark. Retail. 10(3), 283–308 (2019). https://doi.org/10.1504/IJEMR.2019.100704
Sarstedt, M., Mooi, E.: A Concise Guide to Market Research. A Concise Guide to Market Research, 3rd edn. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-662-56707-4
Scheerder, A.J., van Deursen, A.J.A.M., van Dijk, J.A.G.M.: Internet use in the home: digital inequality from a domestication perspective. New Media Soc. 21(10), 2099–2118 (2019). https://doi.org/10.1177/1461444819844299
Scott, S., Hughes, P., Hodgkinson, I., Kraus, S.: Technology adoption factors in the digitization of popular culture: analyzing the online gambling market. Technol. Forecast. Soc. Chang. 148, 119717 (2019). https://doi.org/10.1016/j.techfore.2019.119717
Silverstone, R.: Domesticating the revolution: information and communication technologies and everyday life. In: Aslib Proceedings (1993). https://doi.org/10.1108/eb051328
Tang, T., Ho, A.T.K.: A path-dependence perspective on the adoption of Internet of Things: evidence from early adopters of smart and connected sensors in the United States. Gov. Inf. Q. 36(2), 321–332 (2019). https://doi.org/10.1016/j.giq.2018.09.010
Van Thuya, N.: The adoption of the Internet of Things in Vietnam. Int. J. Innov. Creat. Change 12(4), 22–35 (2020)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003). https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J.Y., Xu, X.: Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Q. 36(1), 157–178 (2012)
Wei, K.-K., Teo, H.-H., Chan, H.C., Tan, B.C.Y.: Conceptualizing and testing a social cognitive model of the digital divide. Inf. Syst. Res. 22(1), 170–187 (2011). https://doi.org/10.1287/isre.1090.0273
Weinberg, B.D., Milne, G.R., Andonova, Y.G., Hajjat, F.M.: Internet of Things: convenience vs. privacy and secrecy. Bus. Horiz. 58(6), 615–624 (2015). https://doi.org/10.1016/j.bushor.2015.06.005
Wright, D., Shank, D.B., Yarbrough, T.: Outcomes of training in smart home technology adoption: a living laboratory study. Commun. Des. Q. Rev. 9(3), 14–26 (2022)
Zheng, S., Apthorpe, N., Chetty, M., Feamster, N.: User perceptions of smart home IoT privacy. In: Proceedings of the ACM on Human-Computer Interaction 2 (CSCW) (2018). https://doi.org/10.1145/3274469
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Sánchez-Torres, J.A., Arroyo-Cañada, FJ., Argila-Irurita, A., Sole-Moro, ML., Montoya-Restrepo, L.A., Montoya-Restrepo, I.A. (2022). Factors Leading to the Adoption of IoT in the Home: An Exploratory Model of the Domestication Theory and Technology Adoption Theories. In: Martínez-López, F.J., Martinez, L.F. (eds) Advances in Digital Marketing and eCommerce. DMEC 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-05728-1_25
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