Exploring Platform Adoption in the Smart Home Case
2015
- 818Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage818
- Abstract Views575
- Downloads243
Article Description
Smart home (SH) services promote the comfort, convenience, security, entertainment, healthcare, education and communication of people in their home environments. Despite radical enhancements envisioned to peoples’ lives, the SH market has remained a niche for more than three decades. Yet, recent fast-paced developments, including ubiquitous computing, miniaturization of microelectronic components and digitalization of societies, have spurred a new wave of interest in a field populated by various technology platforms battling for dominance. In this light, we explore the determinants for wide-spread adoption of SH platforms informed by 21 experts from 19 companies. Our qualitative content analysis identifies, classifies, ranks and describes 34 determinants and yields a theoretical model on SH platform adoption. As such, we provide a basis for further research on platform ecosystems and managerial implications on platform design and governance in the SH field. In particular, we highlight the technical and organizational openness and the legitimacy of sponsorship.
Bibliographic Details
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