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Abstract: The research taps into the topic of smart homes to understand what features in a smart home would make it a success for the potential customers. The research was a primary type of research with the data collection method of Surveys and Interviews both. 300 respondents answered the survey which was based on the Kano model and calculated the dependence of the ‘Must’, ‘Want’ and ‘Exciters’ factors of smart homes on the customer satisfaction levels of potential smart home buyers through Multiple Linear Regression Model. The results showed an average 50% likelihood of customers being satisfied if these features were given in a smart home. For the interviews, 5 interviews were done from corporates from the smart home industry in Dubai. Their insights on the logistics and planning of smart homes are given in the discussion section. |
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