빅데이터를 활용한 주5일제 및 주52시간제 시행전후 여가 인식 분석

Abstract

Purpose: The purpose of this study is to examine the leisure Awareness before and after 5-day and 52-hour work week by applying the semantic network analysis method usign big data. The research questions set up for this are as follows. First, did leisure awareness change after 5-day work week? Second, did leisure awareness change after 52-hour work week?BR Method: In this study, data were collected before system enforcement (Jul. 1, 2003~Jun. 30, 2004) and after (Jul. 1, 2004~Jun. 30, 2005). The 52-hour week was implementedfr om July 1, 2018, and in this study, it was divided into pre-enforcement (Jul. 1, 2017~Jun. 30, 2018) and fater post-enforcement (Jul. 1, 2018~Jun. 30, 2019). The collected data were analyzed by semantic network through NetMiner program.BR Result: First, keywords related to leisure before 5-day work week weer in the order of product, travel, tourism, event, family, weekend, golf course, customer, Seoul, and experience. After 5-day work week, leisure-related keywords were goods, travel, tourism, time, family, events, experiences, weekends, Seoul, and business. Before 5-day work week, the co-word pairs appeared in the following order: product-package, product-travel, condo-hotel, construction-golf course, culture-experience, experience-program etc. After 5-day work week, the co-word pairs appear in the following order: reclaimed land-Seosan, commodity-travel, tourism-complex, city-complex, tourism-culture, experience-event, commodity-package etc. Before 5 day work week, keyword centrality was followed by travel, goods, condos, tourism, golf, events, experiences, weekends, Jeju, family, etc., and After 5- day work week, keyword centrality was travel, tourism, experiences, goods, events, culture, golf course etc. Second, leisure relatde keywords before 52-hour work week were in the order of business, sports, awards, tourism, experience, reigons, facilities. After fifty two- work week, leisure-relatedkeywords were in the order of culture, region, saefty, industry, tourism and facilities. Before 52-hour system, co-word pairs appear in the following order: corporate-friendly, tourism-activated, experienceprogramme, tourism-ocean, sports-experience etc. After 52-hour system, the co-word pairs were in the order of industry-sports, safety-equipment, experience-program etc. Before 52-hour system, keyword centrality was in the order of tourism, experience, sports, cultrue, industry, business etc. After 52-hour system, keyword centrality was in the order of sports, tourism, experiences, culture etc.BR Conclusion: Semantic network analysis is a very useful method for explonrig the research trends of sport for all. It is meaningful in that it identifies the changes related to leisure in Korean society through the semantic network analysis.