The Adoption of The Internet of Things by  Young Consumers   – an Empirical Investigation

Radosław Mącik


https://orcid.org/0000-0002-4093-2924

Аннотация

On the background of theoretical considerations and literature review, this article presents the results of  the preliminary study of young consumers about their adoption of the Internet of Things (IoT) - treated as the  emerging technology, creating a new quality of information technology usage, despite perceived costs and privacy  concerns. The data for the analysis came from purpose sample of 223 young consumers from Eastern Poland via  CAWI questionnaire. The primary goal of the research was to explore the adoption of IoT by young consumers in  Poland regarding the level of adoption and factors explaining this phenomenon. The main analysis used univariate  analysis of variance (UNIANOVA) and covariance-based structural equation modelling (CB-SEM). The current  level of adoption of IoT by young consumers looks rather high (80% of respondents used at least one IoT-enabled  device), although 78% of owners of IoT devices were not aware of Internet of Things concept. Study participants  rather declared the usage of connected things recognised by connecting technology (Wi-Fi, Bluetooth), than the  conscious usage of IoT. Among factors influencing IoT adoption the Performance expectancy and Habit constructs,  as well as Personal innovativeness in the domain of information technology (PIIT), had an impact on Behavioural  intention to use IoT. For some groups of devices, the gender impact was significant. Declared income, including  lack of funds as the reason of not to use IoT, was not relevant as an explanatory variable. 

Ключевые слова:

Internet of Things, IoT, consumers, information technology adoption, preliminary model

Agarwal, R. (2000). Individual acceptance of information technologies. Framing the Domains of IT Management: Projecting the Future Through the Past: 85–104.
  Google Scholar

Agarwal, R.; Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research 9(2): 204–215.
  Google Scholar

Ashton, K. (2009). That “internet of things” thing. RFiD Journal 22(7): 97–114.
  Google Scholar

Bagozzi, R.P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association of Information Systems 8(4): 244–254.
  Google Scholar

Benbasat, I.; Barki, H. (2007). Quo vadis, TAM? Journal of the Association of Information System. 8(4): 211–218.
  Google Scholar

Brill, J. (2014). The internet of things: Building trust and maximizing benefits through consumer control. Fordham Law Review 83(1): 205–217.
  Google Scholar

Chui, M.; Löffler, M.; Roberts, R. (2010). The internet of things. McKinsey Quarterly (2): 70–79.
  Google Scholar

Corcoran, P. (2016). The Internet of Things: Why now, and what’s next? IEEE Consumer Electronics Magazine 5(1): 63–68.
  Google Scholar

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems 13(3): 319–339.
  Google Scholar

Dijk, J.A.G.M. van. (2005). The Deepening Divide: Inequality in the Information Society. SAGE. Dutton, W.H. (2014). Putting things to work: Social and policy challenges for the Internet of things. Info 16(3): 1– 21.
  Google Scholar

Evans, D. (2011). The internet of things: How the next evolution of the internet is changing everything. CISCO white paper 1: 1–11.
  Google Scholar

Fornell, C.; Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(FEBRUARY): 39–50.
  Google Scholar

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.
  Google Scholar

Hair, J.F.; Ringle, C.M.; Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice 19(2): 139–152.
  Google Scholar

Hair Jr., J.F.; Ringle, C.M.; Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. PLS applications in strategic management: Partial Least Squares modeling in strategy research 46(1–2): 1–12.
  Google Scholar

Henseler, J.; Ringle, C.M.; Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43: 115.
  Google Scholar

Hooper, D.; Coughlan, J.; Mullen, M.R. (2008). Structural Equation Modelling: Guidelines for Determining Model Fit. Electronic Journal of Business Research Methods 6(1): 53–59.
  Google Scholar

Hsu, M.-H.; Yen, C.-H.; Chiu, C.-M.; Chang, C. M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human Computer Studies 64(9): 889–904.
  Google Scholar

IAB Polska. (2015). Internet Rzeczy w Polsce. IAB Polska: Warszawa. Iacobucci, D. (2010). Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of Consumer Psychology 20(1): 90–98.
  Google Scholar

Komiak, S.Y.; Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. Mis Quarterly : 941–960.
  Google Scholar

Kwiatkowska, E.M. (2014). Rozwój Internetu rzeczy–szanse i zagrożenia. Internetowy Kwartalnik Antymonopolowy i Regulacyjny 8(3): 60–70.
  Google Scholar

Mącik, R. (2013). Technologie informacyjne i komunikacyjne jako moderator procesów podejmowania decyzji zakupowych przez konsumentów. Lublin: Wydawnictwo UMCS.
  Google Scholar

Mącik, R. (2014). Osobista innowacyjność w dziedzinie technologii informacyjnych a wirtualizacja zachowań konsumenta. Marketing i Rynek (nr 11 (CD)): 392–403.
  Google Scholar

Mącik, R. (2015). Courtesy shopping online-between digital exclusion and rational behaviour. Economic and Environmental Studies 15(2): 211–229.
  Google Scholar

Mącik, R.; Mącik, D. (2016). Trust and Product/Sellers Reviews as Factors Influencing Online Product Comparison Sites Usage by Young Consumers. Managing Global Transitions 14(2): 193–213.
  Google Scholar

Nov, O.; Ye, C. (2008). Personality and Technology Acceptance: Personal Innovativeness in IT, Openness and Resistance to Change. In: Hawaii International Conference on System Sciences. Proceedings of the 41st Annual: 448–448. Presented at the Hawaii International Conference on System Sciences.
  Google Scholar

Ożadowicz, A. (2014). Internet Rzeczy w systemach automatyki budynkowej. Napędy i Sterowanie 12: 88–93.
  Google Scholar

Venkatesh, V.; L. Thong, J.Y.; Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly 36(1): 157–178.
  Google Scholar

Venkatesh, V.; Morris, M.G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly: Management Information Systems.24(1): 115–136.
  Google Scholar

Venkatesh, V.; Morris, M.G.; Ackerman, P.L. (2000). A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes. Organizational Behavior and Human Decision Processes 83(1): 33–60.
  Google Scholar

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.
  Google Scholar

Vermesan, O.; Friess, P. (2015). Building the Hyperconnected Society: Internet of Things Research and Innovation Value Chains, Ecosystems and Markets. River Publishers. Wei, J. (2014). How wearables intersect with the cloud and the internet of things: Considerations for the developers of wearables. IEEE Consumer Electronics Magazine 3(3): 53–56.
  Google Scholar

Yi, M.Y.; Fiedler, K.D.; Park, J.S. (2006). Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures. Decision Sciences 37(3): 393–426.
  Google Scholar


Опубликован
2020-11-24

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Mącik, R. (2020). The Adoption of The Internet of Things by  Young Consumers   – an Empirical Investigation. Economic and Environmental Studies, 17(2 (42), 363–388. https://doi.org/10.25167/ees.2017.42.13

Authors

Radosław Mącik 
https://orcid.org/0000-0002-4093-2924

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