Browse > Article
http://dx.doi.org/10.7232/JKIIE.2016.42.6.421

Research Topics in Industrial Engineering 2001~2015  

Jeong, Bokwon (The Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology)
Lee, Hakyeon (Department of Industrial and Systems Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.42, no.6, 2016 , pp. 421-431 More about this Journal
Abstract
Over the last four decades, industrial engineering (IE) research in Korea has continued to evolve and expand to respond to social needs. This paper aims to identify research topics in IE research and explore their dynamic changes over time. The topic modeling approach, which automatically discovers topics that pervade a large and unstructured collection of documents, is adopted to identify research topics in domestic IE research. 1,242 articles published from 2001 to 2015 in two IE journals issued by the Korean Institute of Industrial Engineers were collected and their English abstracts were analyzed. Applying the Latent Dirichlet Allocation model led us to uncover 50 topics of domestic IE research. The top 10 most popular topics are revealed, and topic trends are explored by examining the dynamic changes over time. The four topics, technology management, financial engineering, data mining (supervised learning), efficiency analysis, are selected as hot topics while several traditional topics related with manufacturing are revealed as cold topics. The findings are expected to provide fruitful implications for IE researchers.
Keywords
Industrial Engineering; Research Topic; Text-mining; Topic model; Latent Dirichlet Allocation(LDA);
Citations & Related Records
Times Cited By KSCI : 14  (Citation Analysis)
연도 인용수 순위
1 Lee, J. Y., Moon, J. Y., and Kim, H. J. (2007), Examining the Intellectual Structure of Records Management and Archival Science in Korea with Text Mining, Korean Society for Library and Information Science, 41(1), 345-372.   DOI
2 Mimno, D. and McCallum, A. (2008), Topic models conditioned on arbitrary features with Dirichlet multinomial regression, Proceedings of the 24th Conference in Uncertainty in Artificial Intelligence(UAI 2008), UAI-P-2008-PG-411-418.
3 Park, J. H. and Song, M. (2013), A Study on the Research Trends in Library and Information Science in Korea using Topic Modeling, Journal of the Korean Society for Information Management, 30(1), 7-32.   DOI
4 Park, J. W., Shin, H. S., Kim, K-D., Jeong, H-I., and Lee, J. C. (2014), Production Planning and Control in Korea : with Emphasis on the Role of Industrial Engineers, Journal of the Korean Institute of Industrial Engineers, 40(6), 580-591.   DOI
5 Park, Y. T. (2015), Industrial Engineering-systems approach, Saeng Neung Press, Paju-si, Korea.
6 Ramos-Rodriguez, A. R. and Ruiz-Navarro, J. (2004), Changes in the intellectual structure of strategic management research : A bibliometric study of the Strategic Management Journal, 1980-2000, Strategic Management Journal, 25(10), 981-1004.   DOI
7 Shin, K. S., Choi, H. R., and Lee, H. C. (2015), Topic Model Analysis of Research Trend on Renewable Energy, Journal of the Korea Academia-Industrial cooperation Society, 16(9), 6411-6418.   DOI
8 Salvendy, G. (2001), Handbook of Industrial Engineering : Technology and Operations Management. Wiley-Interscience, New York City, United States.
9 Kim, Y. K. and Kim, J. Y. (2014), OR/MS in Korea : The Review and Outlook, Journal of the Korean Institute of Industrial Engineers, 40(6), 592-608.   DOI
10 Ahn, J. K., Lee, K. H., and Kim, H. W. (2015), Trend analysis of changes in information systems research : modeling and network analysis topics, The Korea Society of Management information Systems, 561-570.
11 Blei, D. M., Ng, A. Y., and Jordan, M. I. (2003), Latent dirichlet allocation, The Journal of machine Learning research, 3, 993-1022.
12 Cho, G. H., Lim, S. Y., and Hur S. (2014), An Analysis of the Research Methodologies and Techniques in the Industrial Engineering Using Text Mining, Journal of the Korean Institute of Industrial Engineers, 40(1), 52-59.   DOI
13 Callon, M., Courtial, J. P., Turner, W. A., and Bauin, S. (1983), From translations to problematic networks-An introduction to co-word analysis, Social Science Information Sur Les Sciences Sociales, 22(2), 191-235.   DOI
14 Choi, B. K., Han, K. H., Jun, C. S., Lee, C. S., and Park, S. C. (2014), Review and Perspectives on the Research and Industrial Applications of Manufacturing Systems Engineering in Korea for 40 Years, Journal of the Korean Institute of Industrial Engineers, 40(6), 555-567.   DOI
15 Cho, J. (2011), A study for research area of library and information science by network text analysis, Journal of the Korean Society for Information Management, 28(4), 65-83.   DOI
16 Cho, S. and Kim, S. (2012), Finding meaningful pattern of key words in IIE transactions using text mining, Journal of the Korean Institute of Industrial Engineers, 38(1), 67-73.   DOI
17 Chung, M. K., Yun, M. Y., Park, J. H., Lee, I-S., and Lim, J-H. (2014), 40 Years of Ergonomics in Korea : Accomplishments, Challenges and 40 More Years Ahead, Journal of the Korean Institute of Industrial Engineers, 40(6), 568-579.   DOI
18 Cobo, M. J., Lopez-Herrera, A. G., Herrera-Viedma, E., and Herrera, F. (2011), An approach for detecting, quantifying, and visualizing the evolution of a research field : A practical application to the Fuzzy Sets Theory field, Journal of Informetrics, 5(1), 146-166.   DOI
19 Blei, D. M. (2012), Probabilistic Topic Models, Communications of the Acm, 55(4), 77-84.   DOI
20 Small, H. (1973), Co-citation in the scientific literature : A new measure of the relationship between two documents, Essays of an Information Scientist, 24(4), 265-269.
21 Song, M. and Kim, Y. S. (2012), Detecting the knowledge structure of bioinformatics by mining full-text collections, Scientometrics, 96(1), 183-201.   DOI
22 Song, M., Heo, G. E., and Lee, D. (2015), Identifying the landscape of Alzheimer's disease research with network and content analysis, Scientometrics, 102(1), 905-927.   DOI
23 Song, M. and Kim, S. Y. (2013), Detecting the knowledge structure of bioinformatics by mining full-text collections, Scientometrics, 96(1), 183-201.   DOI
24 Tsai, F. S. (2011), A tag-topic model for blog mining, Expert Systems with Applications, 38(5), 5330-5335.   DOI
25 Won, J. H. (2014), A study of the forecasting demand of medicine, Information & Industrial Engineering Yunsei University.
26 Yan, E. (2015), Research dynamics, impact, and dissemination : A topic-level analysis, Journal of the Association for Information Science and Technology, 66(11), 2357-2372.   DOI
27 Yum, B. J., Seo, S. K., Yun, W. Y., and Byun J. H. (2014), Trends and Future Directions of Quality Control and Reliability Engineering, Journal of the Korean Institute of Industrial Engineers, 40(6), 526-554.   DOI
28 Griffiths, T. L. and Steyvers, M. (2004), Finding scientific topics. Proceedings of the National Academy of Sciences, 101(1), 5228-5235.   DOI
29 Ding, W. and Chen, C. (2014), Dynamic topic detection and tracking : A comparison of HDP, C-word, and cocitation methods, Journal of the Association for Information Science and Technology, 65(10), 2084-2097.   DOI
30 Go, G., Jung, W., Shin, Y., Park, S., and Jang, D. (2011), A study on development of patent information retrieval using textmining, Journal of the Korea Academia-Industrial Cooperation Society, 12(8), 3677-3688.   DOI
31 Hornik, K. and Grun, B. (2011), topicmodels : An R package for fitting topic models. Journal of Statistical Software, 40(13), 1548-7660.
32 Jeong, B. K. and Lee, H. Y. (2016), Industrial Engineering as a Multidisciplinary Field : Exploring the Structure of Academic Convergence in Industrial Engineering by Journal Citation Network Analysis, Journal of the Korean Institute of Industrial Engineers, 42(3), 182-197.   DOI
33 Korean Institute of Industrial Engineers (2006), Domestic and international through case studies and the job analysis creative engineering education system and curriculum development : Focus on Industrial Engineering.
34 Kim, G. H. and Park, C. L. (2015), Analysis of English abstracts in Journal of the Korean Data and Information Science Society using topic models and social network analysis, Journal of the Korean Data and Information Science Society, 26(1), 151-159.   DOI
35 Kim, H. B. (2016), Text Mining for Korean Using Topic Models Based on Latent Dirichlet Allocation Technique, Graduate School of Dongguk University, Seoul, 5-7.
36 Kim, J. and Jeong, C. (2012), Analysis of trend in construction using text mining method, Journal of The Korean Digital Architecture․Interior Association, 12(2), 53-60.