Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods

  • Kim, Jeong-O (Dept. of English Education, Kwangju Women's University) ;
  • Kwon, Choong-Hoon (Dept. of Secondary Special Education, Kwangju Women's University)
  • Received : 2019.06.24
  • Accepted : 2019.07.23
  • Published : 2019.07.31
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

CPTSCQ_2019_v24n7_135_f0001.png 이미지

Fig. 1. KeyWord Wordcloud of research subjectlist related ‘hotel workers’

CPTSCQ_2019_v24n7_135_f0002.png 이미지

Fig. 2. Keyword all language network of research subject list related ‘hotel workers’

CPTSCQ_2019_v24n7_135_f0003.png 이미지

Fig. 4. Language network closeness centrality map of research subject list related ‘hotel workers’

CPTSCQ_2019_v24n7_135_f0004.png 이미지

Fig. 5. Language network betweenness centrality map research subject list related ‘hotel workers’

Table 1. Research subject list status related hotel workers

CPTSCQ_2019_v24n7_135_t0001.png 이미지

Table 2. Preprocessing process Division & Example

CPTSCQ_2019_v24n7_135_t0002.png 이미지

Table 3. Major Keyword High Frequency

CPTSCQ_2019_v24n7_135_t0003.png 이미지

Table 4. Value of all language network

CPTSCQ_2019_v24n7_135_t0004.png 이미지

Table 5. Centrality result of degree of connection

CPTSCQ_2019_v24n7_135_t0005.png 이미지

CPTSCQ_2019_v24n7_135_t0006.png 이미지

Fig. 3. Language network degree centrality map of research subject list related hotel workers

Table 6. Result of closeness centrality

CPTSCQ_2019_v24n7_135_t0007.png 이미지

Table 7. Result of betweenness centrality

CPTSCQ_2019_v24n7_135_t0008.png 이미지

References

  1. JHOh, Principles of Hotel Management. Seoul, Kimoon publisher, 1998.
  2. SISong, "Relations on Market Orientation, Service Quality, Customer Satisfaction and Customer Loyalty in Hotel Restaurant," Journal of the Korea Contents Association, Vol.7 No.9, pp. 183-193, 2007. https://doi.org/10.5392/JKCA.2007.7.9.183
  3. HJKim, "Analysis of Tourism research trend in Korea using semantic
  4. Krippendorff, “Klaus. Reliability in content analysis,” Human communication research, Vol. 30, No. 3, pp. 411-433, 2004. https://doi.org/10.1111/j.1468-2958.2004.tb00738.x
  5. HWPark, Leydesdorff, "Understanding the KrKwic: A computer Program for the analysis of Korean text, Vol. 6, No. 5 pp. 1377-1387, 2004
  6. SYKim, DWKim, MIChoi, "Language Network Analysis of the Advertising Research Program Trend in the Korean," Korean Association of Advertising and Public Relations, Vol. 15, No.1 pp. 59-85, 2013
  7. Taylor, C. R, "Moving international advertising research forward," Journal of Advertising, Vol. 34, No.1, pp. 7-16, 2005. https://doi.org/10.1080/00913367.2005.10639187
  8. HCOh, HKYeo, HYLee, "A Content Analysis of Hospitality and Tourism Research in Korea Citation Index(KCI) Journal," Journal of Tourism and Leisure Research, Vol. 21, No. 1, PP. 345-362, 2009
  9. MKKim, "A Content Analysis of Journal Articles on Hotel Employee's Job Satisfaction and Organizational Commitment," Korea Academic Society of Tourism Management, Vol. 25, No. 6, pp. 57-77, 2011
  10. KYJeong, SYLee, YJSeo, “A Study of Trends in the Journal of Hotel Administration,” Korean Journal of Hospitality Administration, Vol. 14, No. 2, pp. 191-204, 2005.
  11. SPHan, "Trends in International Advertising Research : Content Analysis of Major Advertising Journals from 1960 to 2005," The Korean Journal of Advertising, Vol. 19, No. 4, pp. 89-102. 2008
  12. JWYoun, JHPark, "Semantic Network Analysis for Content Analyzing of Qualitative Research in Adapted Physical Activity," International Journal of Human Movement Science, Vol. 54, No. 5, 877-889, 2015
  13. YHEom, et al, "Analysis of Disaster Research Trends and Disaster Safety R & D Linkage through Language Network," Chung-ang public Administration Review, Vol.33, No.1, pp. 165-183, 2019.
  14. SJJeong, et al, "Analysis of Social Issues and Media-specific Characteristics Related to Presidential Records based on Semantic Network," Journal of the Korean Biblia Society for Library and Information Science, Vol. 30, No.1, pp. 181-207, 2019. https://doi.org/10.14699/KBIBLIA.2019.30.1.181
  15. CHKwon, "An Analysis on Contents of the Pedagogy Examination for Secondary-School Teacher's Employment using Text Mining & Semantic Network Analysis," Journal of Educational Innovation Research, Vol. 28, No. 3, pp.1-25, 2018. https://doi.org/10.21024/PNUEDI.28.3.201809.1
  16. HJKim, "Analysis of Hotel research trend in Korea : Using semantic network analysis," Journal of Tourism and Leisure Research, Vol. 28, No.1, 193-210, 2016.
  17. HWPark, Leydesdorff, Loet, “Understanding the KrKwic: A computer program for the analysis of Korean text,” Journal of the Korean Data Analysis Society, Vol. 6, No. 5, pp. 1377-1387, 2004.
  18. Borgatti, S. P. , Everett, M. G. , Freeman, L. C. , "UCINET 6 for Windows: Version 6.199," Natick: Analytic Technologies, 2002.
  19. http://www.kci.go.kr
  20. JWJang, KH Choi, "Statistics Act Content Analysis using Semantic Network Analysis, Statistical Research, Vol. 17, No. 2, pp.53-66 2012.
  21. SSLee, "A Content Analysis of Journal Articles Using the Language Network Analysis Methods," Korea Society for Information Management, Vol. 31, No. 4, pp. 49-68, 2014. https://doi.org/10.3743/KOSIM.2014.31.4.049
  22. HBKwon, SYCheon, “A Smart Education Research throughout the Semantic Network Analysis,” CNU Journal of Educational Studies, Vol. 34, No. 2, pp. 103-125, 2013. https://doi.org/10.18612/cnujes.2013.34.2.103
  23. JICho, “A Study for Research Area of Library and Information Science by Network Text Analysis,” Korea Society for Information Management, Vol. 28, No. 4, pp. 65-83, 2011.
  24. Smith. M. , "Analyzing Social Media Network: learning by Doing with NodeXL," ited, Vol10, No.10, 2011.
  25. YHKim, YJKim. "Social Network Analysis (version4)," Seoul Publisher Park Young Sa, 2016.
  26. Social Network Analysis. London, SAGE Publication, 2000
  27. Freeman L. C. "A set of measures of centrality based on betweenness," Sociometry, Vol. 40 pp.3541, 1977. https://doi.org/10.2307/3033543
  28. YSJang, HGGang, "Coding to learn with R" Seouol, Life & Power Press, 2018.
  29. JYPark, THKim, HWPark, "A Semantic Network Analysis of Celebrity Messages on Social Network Site : A Case of Korean Idol's Me2Day," korean Association for Broadcasting & Telecommunication Studies, Vol. 82, pp. 36-74 spring, 2013.

Cited by

  1. 정치, 기업, 테크놀로지: 연극환경에 대한 소셜네트워크 분석 vol.20, pp.6, 2019, https://doi.org/10.5392/jkca.2020.20.06.267