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Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population

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  • Ehrenhard, Michel
  • Kijl, Bjorn
  • Nieuwenhuis, Lambert

Abstract

For more than a decade, the Smart Home has promised to offer a better quality of life by connecting in-house devices and monitoring their usage. Such platform-based configurational technology has demonstrated the potential to improve comfort, healthcare, safety and security, and energy conservation — both at home and in the office. Moreover, since these technologies foster users' independence, Smart Homes can be both an answer to an aging workforce and a large market for an aging customer base. Nonetheless, so far market adoption has mostly been limited to the luxury segment and the more basic stand-alone technologies. Therefore, the main question driving this study is why Smart Home technology is so scarcely implemented despite its benefits to an aging population. From the literature we derive key market barriers in Smart Home value networks. We expand on these findings by means of a value network analysis of a Dutch smart home implementation case. In addition, we conducted 14 interviews that provide more insight into the value network of specific Smart Home services. Based on our case findings we develop a generic value network for Smart Homes and propose opportunities to improve market adoption of Smart Home technologies.

Suggested Citation

  • Ehrenhard, Michel & Kijl, Bjorn & Nieuwenhuis, Lambert, 2014. "Market adoption barriers of multi-stakeholder technology: Smart homes for the aging population," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 306-315.
    • Handle: RePEc:eee:tefoso:v:89:y:2014:i:c:p:306-315
    DOI: 10.1016/j.techfore.2014.08.002
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    References listed on IDEAS

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    Cited by:

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    2. Oderanti, Festus Oluseyi & Li, Feng & Cubric, Marija & Shi, Xiaohui, 2021. "Business models for sustainable commercialisation of digital healthcare (eHealth) innovations for an increasingly ageing population," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    3. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    4. Davit Marikyan & Savvas Papagiannidis & Eleftherios Alamanos, 2023. "Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users," Information Systems Frontiers, Springer, vol. 25(3), pages 1101-1123, June.
    5. Nieuwenhuis, Lambert J.M. & Ehrenhard, Michel L. & Prause, Lars, 2018. "The shift to Cloud Computing: The impact of disruptive technology on the enterprise software business ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 308-313.
    6. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
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    8. Willems, Kim & Smolders, Annelien & Brengman, Malaika & Luyten, Kris & Schöning, Johannes, 2017. "The path-to-purchase is paved with digital opportunities: An inventory of shopper-oriented retail technologies," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 228-242.
    9. Chappin, Emile J.L. & Schleich, Joachim & Guetlein, Marie-Charlotte & Faure, Corinne & Bouwmans, Ivo, 2022. "Linking of a multi-country discrete choice experiment and an agent-based model to simulate the diffusion of smart thermostats," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
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    12. Hong, Jihoon & Shin, Jungwoo & Lee, Daeho, 2016. "Strategic management of next-generation connected life: Focusing on smart key and car–home connectivity," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 11-20.
    13. Marikyan, Davit & Papagiannidis, Savvas & Alamanos, Eleftherios, 2019. "A systematic review of the smart home literature: A user perspective," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 139-154.
    14. Briana M. Washington & Annie Robinson & Tonnie Chanell Mike & Morgan Ruley & Alberto Coustasse, 2021. "Telepsychiatry: Access in Rural Areas," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 16(4), pages 1-14, October.
    15. Hong, Areum & Nam, Changi & Kim, Seongcheol, 2020. "What will be the possible barriers to consumers’ adoption of smart home services?," Telecommunications Policy, Elsevier, vol. 44(2).
    16. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    17. Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    18. Changhee Yoon & Seungyeon Moon & Heesang Lee, 2022. "Symbiotic Relationships in Business Ecosystem: A Systematic Literature Review," Sustainability, MDPI, vol. 14(4), pages 1-15, February.
    19. Chandwani, Rajesh & De, Rahul & Dwivedi, Yogesh K., 2018. "Telemedicine for low resource settings: Exploring the generative mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 177-187.
    20. Heetae Yang & Hwansoo Lee, 2019. "Understanding user behavior of virtual personal assistant devices," Information Systems and e-Business Management, Springer, vol. 17(1), pages 65-87, March.
    21. Ehrenhard, Michel & Wijnhoven, Fons & van den Broek, Tijs & Zinck Stagno, Marc, 2017. "Unlocking how start-ups create business value with mobile applications: Development of an App-enabled Business Innovation Cycle," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 26-36.
    22. Raphael Iten & Joël Wagner & Angela Zeier Röschmann, 2021. "On the Identification, Evaluation and Treatment of Risks in Smart Homes: A Systematic Literature Review," Risks, MDPI, vol. 9(6), pages 1-30, June.
    23. 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).

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