비정형 빅데이터를 통해 살펴본 호텔 산업안전보건법 담론 분석

Although the death rate from industrial accidents in Korea continues to decline, the overall accident rate has been steadily increasing since 2018 and remains higher than that of foreign countries. In this context, various types of industrial accidents related to occupational safety and health can occur in the hotel industry. This study analyzed the discourse on the Hotel Occupational Safety and Health Act through unstructured big data. 2,943 keywords were collected through Naver and Google, and 60 keywords closely related to the hotel Occupational Safety and Health Act were confirmed as analysis targets. As a result, first, first, diverse keywords recognized by the hotel Occupational Safety and Health Act such as ‘management’, ‘industry’, ‘public’, ‘law’, ‘industrial accident’, ‘education’, ‘occupational health’, ‘Korea Occupational Safety and Health Agency’, ‘construction safety’, ‘check’, evaluation’, ‘international cooperation’, ‘professional technology’, ‘service safety’, ‘information exchang’, ‘private organizations’ were extracted. Second, as the result of the CONCOR group analysis, four clusters were clustered. The four clusters were ‘preventive management and management’, ‘field violations and responsibilities’, ‘management consignment and education’, and ‘information disclosure’. Based on these findings provided various academic implications that can be used as basic data in the field of hotel human resource management and practical implications that can be applied to management manual related to the hotel occupational Safety and Health Act in the practice of the hotel industry.