2,517
Views
44
CrossRef citations to date
0
Altmetric
Articles

Are households ready to engage with smart home technology?

, , , &
Pages 1370-1400 | Received 28 Feb 2019, Accepted 10 Sep 2019, Published online: 29 Oct 2019

References

  • Australian Bureau of Statistics. (2017). 2900.0 - Census of population and housing: Understanding the census and census data, Australia, 2016. Retrieved from https://www.abs.gov.au/ausstats/[email protected]/Lookup/by%20Subject/2900.0~2016~Main%20Features~RPIP%20Family%20Household%20Reference%20Person%20Indicator~10080
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.
  • Balaji, M. S., & Roy, S. K. (2017). Value co-creation with internet of things technology in the retail industry. Journal of Marketing Management, 33(1–2), 7–31.
  • Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363–374.
  • Blut, M., Wang, C., & Schoefer, K. (2016). Factors influencing the acceptance of self-service technologies: A meta-analysis. Journal of Service Research, 19, 396–416.
  • Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011). Consumer engagement: Conceptual domain, fundamental propositions, and implications for research. Journal of Service Research, 14, 252–271.
  • Brodie, R. J., Ilić, A., Jurić, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66(1), 105–114.
  • Burdon, M., & Douglas, H. (2017, September 12). The smart home could worsen domestic abuse. But the same technology may also make us safer. The Conversation. Retrieved from https://theconversation.com/the-smart-home-could-worsen-domestic-abuse-but-the-same-technology-may-also-make-us-safer-82897
  • Caccavale, M. (2018, September 24). The impact of the digital revolution on the smart home industry. Forbes. Retrieved from https://www.forbes.com/sites/forbesagencycouncil/2018/09/24/the-impact-of-the-digital-revolution-on-the-smart-home-industry/#6c6340453c76
  • Calder, B. J., Malthouse, E. C., & Schaedel, U. (2009). An experimental study of the relationship between online engagement and advertising effectiveness. Journal of Interactive Marketing, 23, 321–331.
  • Chang, C. W., & Chen, G. M. (2014). College students’ disclosure of location-related information on Facebook. Computers in Human Behavior, 35, 33–38.
  • Chen, S. C., Liu, M. L., & Lin, C. P. (2013). Integrating technology readiness into the expectation–Confirmation model: An empirical study of mobile services. Cyberpsychology, Behavior, and Social Networking, 16, 604–612.
  • Chiang, K. F., & Wang, H. H. (2016). Nurses’ experiences of using a smart mobile device application to assist home care for patients with chronic disease: A qualitative study. Journal of Clinical Nursing, 25, 2008–2017.
  • Colquitt, J. A., Scott, B. A., & LePine, J. A. (2007). Trust, trustworthiness, and trust propensity: A meta-analytic test of their unique relationships with risk taking and job performance. Journal of Applied Psychology, 92(4), 909.
  • Cowling, M. (2015). It’s not just your TV listening in to your conversation. Retrieved from https://theconversation.com/its-not-just-your-tv-listening-in-to-your-conversation-37409
  • Darby, S. J. (2017). Smart technology in the home: Time for more clarity. Building Research & Information, 46, 1–8.
  • De Cremer, D., Nguyen, B., & Simkin, L. (2017). The integrity challenge of the Internet-of-Things (IoT): On understanding its dark side. Journal of Marketing Management, 33(1–2), 145–158.
  • Deen, M. J. (2015). Information and communications technologies for elderly ubiquitous healthcare in a smart home. Personal and Ubiquitous Computing, 19(3–4), 573–599.
  • Delgado-Ballester, E. (2004). Applicability of a brand trust scale across product categories: A multigroup invariance analysis. European Journal of Marketing, 38(5/6), 573–592.
  • Demiris, G., Hensel, K., Skubic, M., & Rantz, M. (2008). Senior residents’ perceived need of and preferences for “smart home” sensor technologies. International Journal of Technology Assessment in Health Care, 24(1), 120–124.
  • Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2015). Consumer engagement in online brand communities: A social media perspective. Journal of Product & Brand Management, 24(1), 28–42.
  • Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2016). Capturing consumer engagement: Duality, dimensionality and measurement. Journal of Marketing Management, 32, 399–426.
  • Di Giorgio, A., & Pimpinella, L. (2012). An event driven smart home controller enabling consumer economic saving and automated demand side management. Applied Energy, 96, 92–103.
  • Elliott, K., Meng, G., & Hall, M. (2012). The influence of technology readiness on the evaluation of self-service technology attributes and resulting attitude toward technology usage. Services Marketing Quarterly, 33, 311–329.
  • Ferreira, J. B., Da Rocha, A., & Da Silva, J. F. (2014). Impacts of technology readiness on emotions and cognition in Brazil. Journal of Business Research, 67(5), 865–873.
  • Ford, R., Pritoni, M., Sanguinetti, A., & Karlin, B. (2017). Categories and functionality of smart home technology for energy management. Building and Environment, 123, 543–554.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
  • Goulden, M. (2017, May 31). Your smart home is trying to reprogram you. The Conversation. Retrieved from https://theconversation.com/your-smart-home-is-trying-to-reprogram-you-78572
  • Gram-Hanssen, K., & Darby, S. J. (2018). “Home is where the smart is”? Evaluating smart home research and approaches against the concept of home. Energy Research & Social Science, 37, 94–101.
  • Gray, P. H., & Durcikova, A. (2005). The role of knowledge repositories in technical support environments: Speed versus learning in user performance. Journal of Management Information Systems, 22(3), 159–190.
  • Gross, M. (2016). Impediments to mobile shopping continued usage intention: A trust-risk-relationship. Journal of Retailing and Consumer Services, 33, 109–119.
  • Hallikainen, H., Alamäki, A., & Laukkanen, T. (2018). Individual preferences of digital touchpoints: A latent class analysis. Journal of Retailing and Consumer Services. doi:10.1016/j.jretconser.2018.07.014
  • Hollebeek, L. D., & Andreassen, T. W. (2018). The SD logic-informed “hamburger” model of service innovation and its implications for engagement and value. Journal of Services Marketing, 32(1), 1–7.
  • Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of Interactive Marketing, 28(2), 149–165.
  • Hollebeek, L. D., Srivastava, R. K., & Chen, T. (2019). SD logic–Informed consumer engagement: Integrative framework, revised fundamental propositions, and application to CRM. Journal of the Academy of Marketing Science, 47(1), 161–185.
  • Hubert, M., Blut, M., Brock, C., Backhaus, C., & Eberhardt, T. (2017). Acceptance of smartphone‐based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 34(2), 175–194.
  • Hubert, M., Blut, M., Brock, C., Zhang, R. W., Koch, V., & Riedl, R. (2018). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing. doi:10.1108/EJM-12-2016-0794
  • Iacobucci, D. (2009). Everything you always wanted to know about SEM (structural equations modeling) but were afraid to ask. Journal of Consumer Psychology, 19, 673–680.
  • IKEA. (2019). Smart home. Retrieved from https://www.ikea.com/us/en/catalog/categories/departments/home_electronics/smart_home/
  • Islam, J. U., Rahman, Z., & Hollebeek, L. D. (2018). Consumer engagement in online brand communities: A solicitation of congruity theory. Internet Research, 28(1), 23–45.
  • Jaakkola, E., Helkkula, A., & Aarikka-Stenroos, L. (2015). Service experience co-creation: Conceptualization, implications, and future research directions. Journal of Service Management, 26, 182–205.
  • Jin, C. (2013). The perspective of a revised TRAM on social capital building: The case of facebook usage. Information & Management, 50(4), 162–168.
  • Karlin, B., Sanguinetti, A., & Ford, R. (2018). Smart home products with energy management implications: Characterizing and comparing adoption, experiences, and outcomes. Proceedings of American Council for an Energy Efficient Economy 2018 Summer Study on Energy Efficiency in Buildings.
  • Kesharwani, A., & Singh Bisht, S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30, 303–322.
  • Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544–564.
  • Kivijärvi, H., Leppänen, A., & Hallikainen, P. (2013). Antecedents of information technology trust and the effect of trust on perceived performance improvement. International Journal of Social and Organizational Dynamics in IT (IJSODIT), 3(3), 17–32.
  • Kleijnen, M., de Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the moderating role of time consciousness. Journal of Retailing, 83, 33–46.
  • Lacey, R. (2007). Relationship drivers of customer commitment. Journal of Marketing Theory and Practice, 15(4), 315–333.
  • Leckie, C., Nyadzayo, M. W., & Johnson, L. W. (2016). Antecedents of consumer brand engagement and brand loyalty. Journal of Marketing Management, 32, 558–578.
  • Lee, W., Castellanos, C., & Choi, C. H. S. (2012). The effect of technology readiness on customers’ attitudes toward self-service technology and its adoption; the empirical study of US airline self-service check-in kiosks. Journal of Travel & Tourism Marketing, 29, 731–743.
  • Letheren, K., Russell-Bennett, R., Mulcahy, R., & McAndrew, R. (2019). Rules of (household) engagement: Technology as manager, assistant and intern. European Journal of Marketing, 53, 1934–1961.
  • Lin, J. S. C., & Hsieh, P. L. (2012). Refinement of the technology readiness index scale: A replication and cross-validation in the self-service technology context. Journal of Service Management, 23(1), 34–53.
  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114.
  • Liu, L., Stroulia, E., Nikolaidis, I., Miguel-Cruz, A., & Rincon, A. R. (2016). Smart homes and home health monitoring technologies for older adults: A systematic review. International Journal of Medical Informatics, 91, 44–59.
  • Lu, J., Wang, L., & Hayes, L. A. (2012). How do technology readiness, platform functionality and trust influence C2C user satisfaction?. Journal of Electronic Commerce Research, 13(1), 50–69.
  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234.
  • Mady, T. T. (2011). Sentiment toward marketing: Should we care about consumer alienation and readiness to use technology? Journal of Consumer Behaviour, 10(4), 192–204.
  • Mani, Z., & Chouk, I. (2017). Drivers of consumers’ resistance to smart products. Journal of Marketing Management, 33(1–2), 76–97.
  • Manwaring, K. (2017). Six things every consumer should know about the ‘Internet of Things’. Retrieved from https://theconversation.com/six-things-every-consumer-should-know-about-the-internet-of-things-78765
  • Marbach, J., Lages, C. R., & Nunan, D. (2016). Who are you and what do you value? Investigating the role of personality traits and customer-perceived value in online consumer engagement. Journal of Marketing Management, 32, 502–525.
  • Marikyan, D., Papagiannidis, S., & Alamanos, E. (2019). A systematic review of the smart home literature: A user perspective. Technological Forecasting and Social Change, 138, 139–154.
  • Marriott, H. R., & Williams, M. D. (2018). Exploring consumers perceived risk and trust for mobile shopping: A theoretical framework and empirical study. Journal of Retailing and Consumer Services, 42, 133–146.
  • Martin, J., Mortimer, G., & Andrews, L. (2015). Re-examining online customer experience to include purchase frequency and perceived risk. Journal of Retailing and Consumer Services, 25, 81–95.
  • Maruping, L. M., & Magni, M. (2012). What’s the weather like? The effect of team learning climate, empowerment climate, and gender on individuals’ technology exploration and use. Journal of Management Information Systems, 29(1), 79–114.
  • McKnight, D. H., & Chervany, N. L. (2001/2002). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronic Commerce, 6(2), 35–60.
  • Mishra, A., Maheswarappa, S. S., & Colby, C. L. (2018). Technology readiness of teenagers: A consumer socialization perspective. Journal of Services Marketing, 32(5), 592–604.
  • Muir, B. M. (1994). Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems. Ergonomics, 37, 1905–1922.
  • 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.
  • Pappas, N. (2016). Marketing strategies, perceived risks, and consumer trust in online buying behaviour. Journal of Retailing and Consumer Services, 29, 92–103.
  • Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2, 307–320.
  • Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59–74.
  • Park, S., & Tussyadiah, I. P. (2017). Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research, 56, 854–867.
  • Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879.
  • Ponce, P., Polasko, K., & Molina, A. (2016). End user perceptions toward smart grid technology: Acceptance, adoption, risks, and trust. Renewable and Sustainable Energy Reviews, 60, 587–598.
  • Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59, 999–1007.
  • Ramadan, Z. B., Farah, M. F., & Kassab, D. (2019). Amazon’s approach to consumers’ usage of the dash button and its effect on purchase decision involvement in the US market. Journal of Retailing and Consumer Services, 47, 133–139.
  • Roy, S. K., Balaji, M. S., Quazi, A., & Quaddus, M. (2018). Predictors of customer acceptance of and resistance to smart technologies in the retail sector. Journal of Retailing and Consumer Services, 42, 147–160.
  • Sanguinetti, A., Karlin, B., & Ford, R. (2017). Smart home consumers: Comparing self-reported and observed attitudes. In Proceedings of Energy Efficiency in Domestic Appliances and Lighting (EEDAL), 2017.
  • 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.
  • Sanguinetti, A., Karlin, B., Ford, R., Salmon, K., & Dombrovski, K. (2018). What’s energy management got to do with it? Exploring the role of energy management in the smart home adoption process. Energy Efficiency, 11(7), 1897–1911.
  • Schweitzer, F., Belk, R., Jordan, W., & Ortner, M. (2019). Servant, friend or master? The relationships users build with voice-controlled smart devices. Journal of Marketing Management, 35, 1–23.
  • Sintov, N., & Schultz, P. (2017). Adjustable green defaults can help make smart homes more sustainable. Sustainability, 9(4), 622.
  • Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32, 860–873.
  • So, K. K. F., King, C., & Sparks, B. (2014). Consumer engagement with tourism brands: Scale development and validation. Journal of Hospitality & Tourism Research, 38(3), 304–329.
  • So, K. K. F., King, C., Sparks, B. A., & Wang, Y. (2016). Enhancing customer relationships with retail service brands: The role of consumer engagement. Journal of Service Management, 27(2), 170–193.
  • Son, M., & Han, K. (2011). Beyond the technology adoption: Technology readiness effects on post-adoption behavior. Journal of Business Research, 64, 1178–1182.
  • Statista. (2018a). Smart home worldwide. Retrieved from https://www.statista.com/outlook/279/100/smart-home/worldwide
  • Statista. (2018b). Smart home market size. Retrieved from https://www.statista.com/statistics/682204/global-smart-home-market-size/
  • Stojkoska, B. L. R., & Trivodaliev, K. V. (2017). A review of internet of things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454–1464.
  • Strebel, J., Erdem, T., & Swait, J. (2004). Consumer search in high technology markets: Exploring the use of traditional information channels. Journal of Consumer Psychology, 14(1–2), 96–104.
  • Strengers, Y., & Nicholls, L. (2017). Convenience and energy consumption in the smart home of the future: Industry visions from Australia and beyond. Energy Research & Social Science, 32, 86–93.
  • Sun, Y., Wang, N., Shen, X. L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278–292.
  • Thielmann, I., & Hilbig, B. E. (2015). Trust: An integrative review from a person–Situation perspective. Review of General Psychology, 19(3), 249.
  • Touré-Tillery, M., & McGill, A. L. (2015). Who or what to believe: Trust and the differential persuasiveness of human and anthropomorphized messengers. Journal of Marketing, 79(4), 94–110.
  • Verhagen, T., Swen, E., Feldberg, F., & Merikivi, J. (2015). Benefitting from virtual customer environments: An empirical study of consumer engagement. Computers in Human Behavior, 48, 340–357.
  • Vize, R., Coughlan, J., Kennedy, A., & Ellis-Chadwick, F. (2013). Technology readiness in a B2B online retail context: An examination of antecedents and outcomes. Industrial Marketing Management, 42, 909–918.
  • Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information & Management, 44, 206–215.
  • Wang, Y., So, K. K. F., & Sparks, B. A. (2017). Technology readiness and customer satisfaction with travel technologies: A cross-country investigation. Journal of Travel Research, 56(5), 563–577.
  • 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.
  • Wu, J., Chen, J., & Dou, W. (2017). The Internet of Things and interaction style: The effect of smart interaction on brand attachment. Journal of Marketing Management, 33(1–2), 61–75.
  • Wuenderlich, N. V., Heinonen, K., Ostrom, A. L., Patricio, L., Sousa, R., Voss, C., & Lemmink, J. G. (2015). “Futurizing” smart service: Implications for service researchers and managers. Journal of Services Marketing, 29(6/7), 442–447.
  • 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.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.