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Special Issue on Bibliometrics and Social Network Analysis Methods for Technology and Innovation Management (Part 2)No Access

Profiling the Research Landscape in Emerging Areas Using Bibliometrics and Text Mining: A Case Study of Biomedical Engineering (BME) in Thailand

    https://doi.org/10.1142/S0219877017400119Cited by:8 (Source: Crossref)

    This study focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities can be not just existing networks, but also hidden ones. In this paper, the analysis of biomedical engineering (BME) field in Thailand is presented as the case study. The findings can be used as key inputs for the development of effective policies and incentives to promote the research activities as well as the collaboration among different groups of experts.

    References

    • Biomedical Engineering Society (2009). Biomedical Engineering Society: Advancing human health and well-being. Available at http://bmes.org/ [accessed on 15 September 2009]. Google Scholar
    • Börner, K., Chen, C. and Boyack, K. W. [2003] Visualizing knowledge domains. Annual Review of Information Science and Technology, 37, 1: 179–255. CrossrefGoogle Scholar
    • Castellanos, O. F. and Torres, L. M. [2010] Technology intelligence: Methods and capabilities for generation of knowledge and decision-making. In Management for Global Economic Growth — Proceedings of the Portland International Conference for Management of Engineering and Technology (PICMET), Portland, Oregon, USA. Google Scholar
    • Cattell, J. M. K. [1903] Statistics of American psychologists. The American Journal of Psychology, 14, 3/4: 310–328. CrossrefGoogle Scholar
    • Daim, T. U., Rueda, G. R. and Martin, H. T. [2005] Technology forecasting using bibliometric analysis and system dynamics. In Technology Management: A Unifying Discipline for Melting the Boundaries — Proceedings of the Portland International Conference for Management of Engineering and Technology (PICMET), Portland, Oregon, USA. Google Scholar
    • Daim, T. U. and Gerdsri, N. [2009] Research and development progress assessment through technological and scientific intelligence. International Journal of Technology Intelligence and Planning, 5, 4: 341–356. CrossrefGoogle Scholar
    • Garfield, E., Sher, I. H. and Torpie, R. J. [1964] The Use of Citation Data in Writing the History of Science. DTIC Document, Institute for Scientific Information, Philadelphia, PA, USA. CrossrefGoogle Scholar
    • Gerdsri, N., Kongthon, A. and Vatananan, R. [2013] Mapping the knowledge evolution and professional network in the field of technology roadmapping (TRM): A bibliometric analysis. Technology Analysis and Strategic Management, 25, 4: 403–422. CrossrefGoogle Scholar
    • Godin, B. [2006] On the origins of bibliometrics. Scientometrics, 68, 1: 109–133. CrossrefGoogle Scholar
    • Huang, Y., Ma, J., Porter, A. L., Kwon, S. and Zhu, D. [2015] Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD) for brain cancer. Beilstein Journal of Nanotechnology, 6: 1666–1676. CrossrefGoogle Scholar
    • Kerr, C., Mortara, L., Phaal, R. and Probert, D. R. [2006] A conceptual model for technology intelligence. International Journal of Technology Intelligence and Planning, 2, 1: 73–93. CrossrefGoogle Scholar
    • Kongthon, A. (2004). A Text Mining Framework for Discovering Technological Intelligence to Support Science and Technology Management. Thesis, Georgia Institute of Technology, USA. Google Scholar
    • Kostoff, R. N., Toothman, D. R., Eberhart, H. J. and Humenik, J. A. [2001] Text mining using database tomography and bibliometrics: A review. Technological Forecasting and Social Change, 68, 3: 223–253. CrossrefGoogle Scholar
    • Krichel, T. and Bakkalbasi, N. [2006] A social network analysis of research collaboration in the economics community. In Proceedings of the International Workshop on Webometrics, Informetrics and Scientometrics and Seventh COLLNET Meeting, Nancy, France, May 2006. Google Scholar
    • Lichtenthaler, E. [2004] Technological change and the technology intelligence process: A case study. Journal of Engineering and Technology Management, 21, 4: 331–348. CrossrefGoogle Scholar
    • Liu, X., Bollen, J., Nelson, M. L. and Sompel, H. V. [2005] Co-authorship networks in the digital library research community. International Journal of Information Processing and Management, 41, 6: 1462–1480. CrossrefGoogle Scholar
    • McBurney, M. K. and Novak, P. L. [2002] What is bibliometrics and why should you care?, In Proceedings of the IEEE Professional Communication Conference (IPCC), September 2002. Google Scholar
    • Melin, G. and Persson, O. [1996] Studying research collaboration using co-authorships. Scientometrics, 36: 363–377. CrossrefGoogle Scholar
    • Mortara, L., Thomson, R., Moore, C., Armara, K., Kerr, C., Phaal, R. and Probert, D. [2010] Developing a technology intelligence strategy at Kodak European Research: Scan and target. Research Technology Management, 53, 4: 27–38. CrossrefGoogle Scholar
    • Nerur, S. P., Rasheed, A. A. and Natarajan, V. [2008] The intellectual structure of the strategic management field: An author co-citation analysis. Strategic Management Journal, 29, 3: 319–336. CrossrefGoogle Scholar
    • Newman, M. E. J. [2004] Co-authorship networks and patters of scientific collaboration. In Proceedings of the National Academy of Sciences of the United States of America, 101: 5200–5205. Google Scholar
    • Pei, R. and Porter, A. [2011] Profiling leading scientists in nanobiomedical science: Interdisciplinarity and potential leading indicators of research directions. R&D Management, 41, 3: 288–306. CrossrefGoogle Scholar
    • Pilkington, A. [2004] Defining technology management: A citation/co-citation study. In Proceedings of the 2004 IEEE Engineering Management Conference. Google Scholar
    • Porter, A. [2007] How “tech-mining” can enhance R&D management. Research Technology Management, 50, 2: 15–20. CrossrefGoogle Scholar
    • Porter, A. and Detampel, M. J. [1995] Technology opportunities analysis. Technological Forecasting and Social Change, 49, 3: 237–255. CrossrefGoogle Scholar
    • Porter, A., Kongthon, A. and Lui, J. C. [2002] Research profiling: Improving the literature review. Scientometrics, 53, 3: 351–370. CrossrefGoogle Scholar
    • Porter, A. and Cunningham, S. W. [2005] Tech Mining: Exploiting New Technologies for Competitive Advantage. Wiley-Interscience, New Jersey. CrossrefGoogle Scholar
    • Porter, A. and Youtie, J. [2009] Where does nanotechnology belong in the map of science?, Nature Nanotechnology, 4, 9: 534–536. CrossrefGoogle Scholar
    • Price, D. S. [1963] Big Science, Little Science. Columbia University Press, New York. CrossrefGoogle Scholar
    • Rohrbeck, R., Heuer, J. and Arnold, H. [2006] The technology radar — An instrument of technology intelligence and innovation strategy. In Proceedings of the IEEE International Conference on Management of Innovation and Technology. Google Scholar
    • Rueda, G., Gerdsri, P. and Koçaoglu, D. F. [2007] Bibliometrics and social network analysis of the nanotechnology field. In Managing Converging Technologies — Proceedings of the Portland International Conference for Management of Engineering and Technology (PICMET), Portland, Oregon, USA. Google Scholar
    • Saka, A. and Igami, M. [2007] Mapping modern science using co-citation analysis. In Proceedings of the 11th International Conference on Information Visualization. Google Scholar
    • Shehabuddeen, N. T. M. H. and Probert, D. R. [2004] Excavating the technology landscape: Deploying technology intelligence to detect early warning signals. In Proceedings of the 2004 IEEE International Engineering Management Conference, October 2004. Google Scholar
    • Wang, X., Xu, S., Liu, D. and Liang, Y. [2012] The role of Chinese–American scientists in China–US scientific collaboration: A study in nanotechnology. Scientometrics, 91: 737–749. CrossrefGoogle Scholar
    • Wang, X., Li, R., Ren, S., Zhu, D., Huang, M. and Qiu, P. [2014] Collaboration network and pattern analysis: Case study of dye-sensitized solar cells. Scientometrics, 98: 1745–1762. CrossrefGoogle Scholar
    • Watts, R. J. and Porter, A. [1997] Innovation forecasting. Technological Forecasting and Social Change, 56, 1: 25–47. CrossrefGoogle Scholar