| Abstract [eng] |
Innovative products like smart personal assistants have huge growth potential. Over the past decade, people have witnessed how this technology is increasingly being introduced into their lives. Of course, for greater personalization and better and more intuitive performance, smart personal assistant collects and processes a huge amount of data, which sometimes might be very personal. The main goal of this study was to analyze the interaction of various factors, the combination of which may impact customers' intention to buy smart personal assistants. During the research, the model was created and as the foundation, the TPB model was used. Additionally, 2 more variables were added, which may impact the intention to buy smart personal assistants. The study showed that there is a strong relationship between intention to buy a smart personal assistant and its antecedents, however, one of the variables didn't have enough significance to impact the dependent variable which is the intention to buy a smart personal assistant. Additionally, the research provides calculations, on how antecedents of intention to buy smart personal assistants may be impacted by other variables. On top of it, this work demonstrates, how the intention to buy smart personal assistants, may depend on the respondent's gender. This research finds answers to important questions related to privacy, which variables are impacting intention to buy smart personal assistants, and how the personal data may be used. The results and findings of this study may be used for a company's which are developing smart personal assistants, to help them to deliver the best possible experience using the safest way. The questionnaire was published on the Facebook & Telegram groups, was spread between coworkers, therefore anyone could take part there. Nevertheless, this master thesis has strong theoretical and practical value, and developers and salespeople can adapt and use the data of this scientific work to increase customer's intention to buy smart personal assistants. |
