AI·DATA 서비스 분야 정부 규제혁신 노력 및 규제 불합리 인식이 기업들의 사업 지속을 위한 규제대응 노력에 미치는 영향 분석

Abstract

This study attempted to analyze whether the government's regulatory innovation efforts affect the continued operation of new products and new service-based businesses, such as regulatory compliance and response efforts, despite the perception of regulatory difficulties as business barriers for firms in new industries. Previous studies on the impact of regulations on companies in new industries were a limit to obtaining implications for regulatory issues and characteristics of each field due to the simplification of regulatory indicators and the establishment of field integration. To compensate for this, this study focused on the field of AI and DATA services, and subdivided regulatory issues to indicate practical inconvenience as variables, and model fit and hypothesis verification were performed by applying Structural Equation Model analysis based on the survey results of related companies. As a result, in the field of AI and DATA services, “Perceived regulatory irrationality” and “Perceived government regulatory innovation efforts” significantly affect the “Regulatory environment satisfaction” of the regulated, and “Perceived regulatory irrationality” and “Regulatory environment satisfaction” affect “Regulatory response efforts for companies in new industries to continue their businesses.” The significance of this study is that it conducted research on the factors affecting the continuity of business of companies in the AI and DATA service sector by linking the analysis of the impact relationship between satisfaction and continuous use intention, which have been mainly used in the “Policy Acceptance Model” and “IT service sector,” to “efforts for companies to continue their business in a new industrial regulatory environment.” In addition, by presenting a new empirical model for new industry regulations, it is expected to be meaningful as it can provide a research foundation that can obtain practical implications in related fields.