Determining the factors considered by customers in their choice of robotic vacuum cleaners through conjoint analysis method
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Abstract (EN)
In today's fast-paced work environment, both men and women find themselves with diminishing time to allocate to household chores. Alongside traditional cleaning methods, there is a growing interest in technological appliances. Electric vacuum cleaners not only provide convenience and time-saving benefits but also alleviate physical strain. Recently, autonomous robot vacuum cleaners have entered our lives, capable of self-navigation and remote control via navigation systems, meeting daily cleaning needs. These innovations streamline household chores, elevating quality of life and standards. The primary aim of this study is to discern customer preferences in robot vacuum cleaner purchases and analyze their influence on buying decisions. To achieve this, a survey was conducted to identify key features such as price, suction power, operating time, dustbin capacity, water tank capacity, charging time, height, and noise level, which customers prioritize when considering a purchase. The survey, directed at potential robot vacuum cleaner customers, involves rating different models based on their preference priorities using cards with various features. Subsequently, through the widely used Conjoint Analysis method, emphasis on specific features in robot vacuum cleaners is determined. The findings indicate that potential customers prioritize battery life and price, while operating time and dustbin capacity are of lesser concern. Understanding these preferences is crucial for robot vacuum cleaner manufacturers to tailor their product development efforts accordingly, catering to the demands of different customer segments. By doing so, manufacturers can enhance customer satisfaction among their target audiences. Furthermore, this study provides potential customers contemplating a robot vacuum cleaner purchase with insights into key factors to consider during their decision-making process.
Author
Damla Akyüz
Institution
How to Cite
Damla Akyüz (Master Thesis). Determining the factors considered by customers in their choice of robotic vacuum cleaners through conjoint analysis method, 2024, Bolu Abant İzzet Baysal University.
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