언어네트워크 분석을 활용한 최근 10년간 국내 외식산업 관련 연구동향

A Semantic Network Analysis on Research Trend in Foodservice Industry Field in the last 10 years

This study analyzed academic theses published from 2011 to 2020 that use the word ‘Foodservice’ as a keyword to observe research trends of the Foodservice Industry field and it conducted a semantic network analysis. For data, 492 Korean academic essays were analyzed using the database of Korean Studies Information Service System(KISS). To identify the research trend by period, 297 papers were analyzed from 2011 to 2015 (first half) and 195 papers from 2016 to 2020 (second half). Through the analysis following results were found. First, as a result of keyword analysis, brand, intention to purchase, employee, consumer, job satisfaction were frequent in both the first and second half, but in the second half, there were many studies related to “human resources management including intention to change jobs, emotional labor, self-efficacy”, “food service business management”, and “customer orientation”. In the same period, we also could see that sevieral studies are being conducted along with the development of fourth industrial revolution and IT technologies such as delivery apps and social network services. Second, a topic modeling analysis showed that there were relatively many studies on “customers” were carried in the first half, while studies on “job satisfaction of employees or employees” in the second half were focused. Third, through network analysis, the words frequently derived in the title were brand, intention to purchase, employee, job satisfaction, etc., and brand , intention to purchase , and service were found to be centered on the network. Finally, CONCORD analysis sowed it was divided into four groups: customer, restaurant business performance, marketing, and human resources management.