Journal of Technology Innovation (기술혁신연구)

Korea Society for Innovation Managemetn & Economics (기술경영경제학회)
권호 표지
DOI QR코드

DOI QR Code

Exploring the Research Topic Networks in the Technology Management Field Using Association Rule-based Co-word Analysis

연관규칙 기반 동시출현단어 분석을 활용한 기술경영 연구 주제 네트워크 분석

  • 전익진 (서울과학기술대학교 IT정책전문대학원) ;
  • 이학연 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2016.08.16
  • Accepted : 2016.10.15
  • Published : 2016.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

This paper identifies core research topics and their relationships by deriving the research topic networks in the technology management field using co-word analysis. Contrary to the conventional approach in which undirected networks are constructed based on normalized co-occurrence frequency, this study analyzes directed networks of keywords by employing the confidence index of association rule mining for pairs of keywords. Author keywords included in 2,456 articles published in nine international journals of technology management in 2011~2014 are extracted and categorized into three types: THEME, METHOD, and FIELD. One-mode networks for each type of keywords are constructed to identify core research keywords and their interrelationships with each type. We then derive the two-mode networks composed of different two types of keywords, THEME-METHOD and THEME-FIELD, to explore which methods or fields are frequently employed or studied for each theme. The findings of this study are expected to be fruitfully referred for researchers in the field of technology management to grasp research trends and set the future research directions.

본 연구는 동시출현단어(co-word) 분석을 이용하여 기술경영 분야의 연구 주제 네트워크를 구축하고, 핵심 연구 주제 및 연구 주제 간 상호연관관계를 도출한다. 동시출현 빈도수의 정규화를 통해 키워드 간 유사성을 도출하여 무방향 네트워크를 분석하는 기존 연구들과는 달리 본 연구는 연관규칙분석(association rule)을 통해 키워드 간 신뢰도(confidence)를 도출하여 유방향 네트워크 분석을 수행한다. 2011~2014년 기술경영 분야 9개 국제 학술지에 게재된 2,456개의 논문의 저자키워드를 대상으로 빈도수 상위 200개 키워드를 추출하고, 주제(THEME), 방법(METHOD), 분야(FIELD)의 세 가지 유형으로 키워드를 분류한다. 각 유형별 일원(one-mode) 네트워크를 구축하여, 함께 많이 연구가 이루어진 키워드들을 찾아내고, 핵심 키워드를 도출한다. 또한 두 가지 유형의 키워드 간의 이원(two-mode) 네트워크를 구축하여, 연구 주제별로 함께 많이 활용된 방법 및 대상 분야를 탐색한다. 본 연구 결과는 최근 성숙기에 접어든 기술경영 분야의 연구 흐름 및 지식 구조를 키워드 수준에서 구체적으로 제시함으로써, 기술경영 분야 연구자들의 연구 주제 탐색 및 연구방향 설계에 활용될 수 있을 것으로 기대된다.

Keywords

References

  1. 고영만.송민선.김비연.민혜령, (2013), "인문학 및 사회과학 분야 국내 학술논문의 저자키워드 출현빈도와 피인용횟수의 상관관계 연구", 정보관리학회지, 제30권 제2호, pp. 227-243. https://doi.org/10.3743/KOSIM.2013.30.2.227
  2. 김경외.정성도.황준석. (2015), "네트워크 분석을 이용한 기술 표준화 방법론 연구: 사물인터넷 무선 통신 기술 계층을 중심으로", 기술혁신연구, 제23권 제3호, pp. 43-65. https://doi.org/10.14383/SIME.2015.23.3.43
  3. 김준모.신준석, (2014), "특허 인용 네트워크와 동적 기술트리 분석을 활용한 기술 진화 경로 연구: 초고압 직류송전 시스템 사례", 기술혁신연구, 제22권 제4호, pp. 117-143. https://doi.org/10.14383/SIME.2014.22.4.117
  4. 이광민.김다운.홍재범. (2014), "기술연관분석을 활용한 기술융합구조 분석: 중소기업 융.복합 기술개발사업 사례", 기술혁신연구, 제22권 제3호, pp. 1-35. https://doi.org/10.14383/SIME.2014.22.3.001
  5. Agrawal, R., Imielinski, T. and Swami, A. (1993), "Mining Association Rules between Sets of Items in Large Databases", Acm Sigmod Record, Vol. 22, No. 2, pp. 207-216. https://doi.org/10.1145/170036.170072
  6. Allen, T.J. and Sosa, M.L. (2004), "50 Years of Engineering Management through the Lens of the IEEE Transactions", IEEE Transactions on Engineering Management, Vol. 51, pp. 391-395. https://doi.org/10.1109/TEM.2004.836361
  7. Ball, D.F. and Rigby, J. (2006), "Disseminating Research in Management of Technology: Journals and Authors", R&D Management, Vol. 36, pp. 205-215. https://doi.org/10.1111/j.1467-9310.2006.00426.x
  8. Bhattacharya, S. and Basu, R.K. (1998), "Mapping a Research Area at the Micro Level Using Co-word Analysis", Scientometrics, Vol. 43, No. 3, pp. 359-372. https://doi.org/10.1007/BF02457404
  9. Beyhan, B. and Cetindamar, D. (2011), "No Escape from the Dominant Theories: The Analysis of Intellectual Pillars of Technology Management in Developing Countries", Technological Forecasting and Social Change, Vol. 78, pp. 103-115. https://doi.org/10.1016/j.techfore.2010.10.001
  10. Biemans, W., Griffin, A. and Moenaert, R. (2007), "Twenty Years of the journal of Product Innovation Management: History, Participants, and Knowledge Stock and Flows", Journal of Product Innovation Management, Vol. 24, pp. 193-213. https://doi.org/10.1111/j.1540-5885.2007.00245.x
  11. Callon, M., Coenen, R., Cohen, W., Freeman, C., Kodama, F., Meyer-Krahmer, F., Pavitt, K. and Pisano, G. (1999), "Retrospective Evaluation (1971-1999)", Research Policy, Vol. 28, pp. 911-919. https://doi.org/10.1016/S0048-7333(99)90003-3
  12. 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, Vol. 22, No. 2, pp. 191-235. https://doi.org/10.1177/053901883022002003
  13. Callon, M., Courtial, J.P. and Laville, F. (1991), "Co-word Analysis as a Tool for Describing the Network of Interactions between Basic and Technological Research: Case of Polymer Chemistry", Scientometrics, Vol. 22, No. 1, pp. 153-205.
  14. Cetindamar, D., Wasti, S.N., Ansal, H. and Beyhan, B. (2009), "Does Technology Management Research Diverge or Converge in Developing and Developed Countries?", Technovation, Vol. 29, pp. 45-58. https://doi.org/10.1016/j.technovation.2008.04.002
  15. Cheng, C.H., Kumar, A., Motwani, J.G., Reisman, A. and Madan, M.S. (1999), "A Citation Analysis of the Technology Innovation Management Journals", IEEE Transactions on Engineering Management, Vol. 46, pp. 4-13. https://doi.org/10.1109/17.740028
  16. Choi, D.G., Lee, Y.B., Jung, M.J. and Lee, H. (2012), "National Characteristics and Competitiveness in MOT Research: A Comparative Analysis of Ten Specialty Journals, 2000-2009", Technovation, Vol. 32, pp. 9-18. https://doi.org/10.1016/j.technovation.2011.09.004
  17. Coulter, N., Monarch, I. and Konda, S. (1998), "Software Engineering as Seen through Its Research Literature: A Study in Co-word Analysis", Journal of the American Society for Information Science, Vol. 49, No. 13, pp. 1206-1223. https://doi.org/10.1002/(SICI)1097-4571(1998)49:13<1206::AID-ASI7>3.0.CO;2-F
  18. Courtial, J.P. (1994), "A Coword Analysis of Scientometrics", Scientometrics, Vol. 31, No. 3, pp. 251-260. https://doi.org/10.1007/BF02016875
  19. Courtial, J.P., Callon, M. and Sigogneau, A. (1993), "The Use of Patent Titles for Identifying the Topics of Invention and Forecasting Trends", Scientometrics, Vol. 26, No. 2, pp. 231-242. https://doi.org/10.1007/BF02016216
  20. Durisin, B., Calabretta, G. and Parmeggiani, V. (2010), "The Intellectual Structure of Product Innovation Research: A Bibliometric Study of the Journal of product innovation Management, 1984-2004", Journal of Product Innovation Management, Vol. 27, pp. 437-451. https://doi.org/10.1111/j.1540-5885.2010.00726.x
  21. Hinze, S. (1994), "Bibliographical Cartography of an Emerging Interdisciplinary Discipline: The Case of Bioelectronics", Scientometrics, Vol. 29, No. 3, pp. 353-376. https://doi.org/10.1007/BF02033445
  22. Law, J. and Whittaker, J. (1992), "Mapping Acidification Research: A Test of the Co-word Method", Scientometrics, Vol. 23, No. 3, pp. 417-461. https://doi.org/10.1007/BF02029807
  23. Lee H.Y. (2015), "Uncovering the Multidisciplinary Nature of Technology Management: Journal Citation Network Analysis", Scientometrics, Vol. 102, No. 1, pp. 51-75. https://doi.org/10.1007/s11192-014-1350-3
  24. McMillan, G.S. (2008), "Mapping the Invisible Colleges of R&D Management", R&D Management, Vol. 38, pp. 69-83.
  25. Linton, J.D. and Thongpapanl, N. (2004), "Perspective: Ranking the Technology Innovation Management Journals", Journal of Product Innovation Management, Vol. 21, pp. 123-139. https://doi.org/10.1111/j.0737-6782.2004.00062.x
  26. Looze, M.D. and Lemarie, J. (1997), "Corpus Relevance through Co-word Analysis: An Application to Plant Proteins", Scientometrics, Vol. 39, No. 3, pp. 267-280. https://doi.org/10.1007/BF02458530
  27. Noyons, E.C.M. and van Raan, A.F.J. (1998), "Monitoring Scientific Developments from a Dynamic Perspective: Self-organized Structuring to Map Neural Network Research", Journal of the American Society for Information Science, Vol. 49, No. 1, pp. 68-81. https://doi.org/10.1002/(SICI)1097-4571(1998)49:1<68::AID-ASI9>3.0.CO;2-1
  28. Noyons, E.C.M. and van Raan, A.F.J. (1994), "Bibliometric Cartography of Scientific and Technological Development of an R&D Field", Scientometrics, Vol. 30, No. 1, pp. 157-173. https://doi.org/10.1007/BF02017220
  29. Merino, M.T.G., do Carmo, M.L.P. and Alvarez, M.V.S. (2006), "25 Years of Technovation: Characterisation and Evolution of the Journal", Technovation, Vol. 26, pp. 1303-1316. https://doi.org/10.1016/j.technovation.2005.11.005
  30. Pilkington, A. and Liston-Heyes, C. (1999), "Is Production and Operations Management a Discipline? A Citation/co-citation Study", International Journal of Operations and Production Management, Vol. 19, No. 1, pp. 7-20. https://doi.org/10.1108/01443579910244188
  31. Pilkington, A. and Teichert, T. (2006), "Management of Technology: Themes, Concepts and Relationships", Technovation, Vol. 26, No. 3, pp. 288-299. https://doi.org/10.1016/j.technovation.2005.01.009
  32. Ramos-Rodrigez, 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, Vol. 25, No. 10, pp. 981-1004. https://doi.org/10.1002/smj.397
  33. Rikken, P., Kiers, H.A.L. and Vos, R. (1995), "Mapping the dynamics of adverse drug reactions in subsequent time periods using INDSCAL", Scientometrics, Vol. 33, No. 3, pp. 367-380. https://doi.org/10.1007/BF02017337
  34. Rip, A. and Courtial, J.P. (1984), "Co-word Maps of Biotechnology: An Example of Cognitive Scientometrics", Scientometrics, Vol. 6, pp. 381-400. https://doi.org/10.1007/BF02025827
  35. Sauperl, A. (2004), "Catalogers' Common Ground and Shared Knowledge", Journal of the American Society for Information Science and Technology, Vol. 55, No. 1, pp. 55-63. https://doi.org/10.1002/asi.10351
  36. Small, H., Boyack, K.W. and Klavans, R. (2014), "Identifying Emerging Topics in Science and Technology", Research Policy, Vol. 48, No. 8, pp. 1450-1467.
  37. Teichert, T. and Pilkington, A. (2006), "Themes, Concepts and Relationships in Innovation Research", Proceedings of the 15th IAMOT Conference: East Meets West, pp. 22-26.
  38. Thongpapanl, N. (2012), "The Changing Landscape of Technology and Innovation Management: An Updated Ranking of Journals in the Field", Technovation, Vol. 32, pp. 257-271. https://doi.org/10.1016/j.technovation.2012.01.001
  39. Van Eck, N. J. and Waltman, L. (2009), "How to Normalize Cooccurrence data? An Analysis of Some Well", Journal of the American Society for Information Science and Technology, Vol. 60, No. 8, pp. 1635-1651. https://doi.org/10.1002/asi.21075
  40. van Raan, A.F.J. and Tijssen, R.J.W. (1993), "The Neural Net of Neural Network Research", Scientometrics, Vol. 26, No. 1, pp. 169-192. https://doi.org/10.1007/BF02016799
  41. Wu, X., Zhang, C. and Zhang, S. (2004), "Efficient Mining of Both Positive and Negative Association Rules", ACM Transactions on Information Systems, Vol. 22, pp. 381-405 https://doi.org/10.1145/1010614.1010616
  42. Yan, E. and Ding, Y. (2012), "Scholarly Network Similarities: How Bibliographic Coupling Networks, Citation Networks, Cocitation Networks, Topical Networks, Coauthorship Networks, and Coword Networks Relate to Each Other", Journal of the American Society for Information Science and Technology, Vol. 63, No. 7, pp. 1313-1326. https://doi.org/10.1002/asi.22680