Identification of Factors Affecting the Adoption of Home Intelligent Robots

Understanding the factors driving the adoption of intelligent robots at home is crucial to improve the technology development given the era of Industry 4.0. This study aims to identify the influencing factors on the adoption of home intelligent robots. Eleven factors are recognized and Interpretative Structural Modeling (ISM) method was used to analyze the data that collected through questionnaires. In addition, fuzzy-ISM model is built to extend the experiments. The results found that price is the most dependent influencing factor, and after-sales service and appearance are the fundamental driving factors in regular ISM model, while price and after-sales service remain in the top and bottom levels in the fuzzy-ISM results.