@article{ART002489529},
author={kim Jeong-o and Kwon Choong Hoon},
title={Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={7},
pages={135-141},
doi={10.9708/jksci.2019.24.07.135}
TY - JOUR
AU - kim Jeong-o
AU - Kwon Choong Hoon
TI - Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 7
PB - The Korean Society Of Computer And Information
SP - 135
EP - 141
SN - 1598-849X
AB - The purpose of this study is to extract the key words from the list of research subjects related to 'hotel workers' published in recent 10 years(2009～2018) by using the language network analysis method and to confirm the relation between the key words. In this paper, we propose a semantic network analysis that can overcome limitations of longitudinal study, analyze the recent research trends, and widely use as a research model.
The results of this study are as follows ; First, in analyzing major key words in the title of 'Hotel Employer' in recent 10 years, the major keyword of job satisfaction(40), special grade(26), organizational commitment(20), emotional labor(19), service(12), restaurant(10), and turnover intention(9). Second, we analyzed the relation of language network among major key words extracted from the study title of 'hotel workers'. Such a research process is expected to grasp the trends of research related to 'hotel workers' and give implications for the future direction of related research.
KW - hotel workers;semantic network analysis;key word;relationship;centrality
DO - 10.9708/jksci.2019.24.07.135
ER -
kim Jeong-o and Kwon Choong Hoon. (2019). Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods. Journal of The Korea Society of Computer and Information, 24(7), 135-141.
kim Jeong-o and Kwon Choong Hoon. 2019, "Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods", Journal of The Korea Society of Computer and Information, vol.24, no.7 pp.135-141. Available from: doi:10.9708/jksci.2019.24.07.135
kim Jeong-o, Kwon Choong Hoon "Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods" Journal of The Korea Society of Computer and Information 24.7 pp.135-141 (2019) : 135.
kim Jeong-o, Kwon Choong Hoon. Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods. 2019; 24(7), 135-141. Available from: doi:10.9708/jksci.2019.24.07.135
kim Jeong-o and Kwon Choong Hoon. "Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods" Journal of The Korea Society of Computer and Information 24, no.7 (2019) : 135-141.doi: 10.9708/jksci.2019.24.07.135
kim Jeong-o; Kwon Choong Hoon. Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods. Journal of The Korea Society of Computer and Information, 24(7), 135-141. doi: 10.9708/jksci.2019.24.07.135
kim Jeong-o; Kwon Choong Hoon. Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods. Journal of The Korea Society of Computer and Information. 2019; 24(7) 135-141. doi: 10.9708/jksci.2019.24.07.135
kim Jeong-o, Kwon Choong Hoon. Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods. 2019; 24(7), 135-141. Available from: doi:10.9708/jksci.2019.24.07.135
kim Jeong-o and Kwon Choong Hoon. "Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods" Journal of The Korea Society of Computer and Information 24, no.7 (2019) : 135-141.doi: 10.9708/jksci.2019.24.07.135
