Bibliometric and Clustering Keywords Network Analysis of Scientist Creativity Research
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Scientific thought and work have been viewed as a creativity product since 1930, and scientist known as a person who conduct creative work according to the four P creative approach. The limited studies about systematic literature scientist creativity promote this research to examine research trends of scientist creativity. This study also identifies future research implications through qualitative systematic review. Through bibliometric and clustering keywords network analysis, this study explores the research trends related to scientist creativity from 2004 to 2020. Metadata from Web of Science Core Collection database collected and bibliometrics analysis was done to identify the most influential research area, country, and the research trend. Furthermore, co-occurrence keywords analysis, clustering network were created using Text Mining ‘TM’, Network Analysis Visualization ‘igraph’ packages in R software. Educational and education research was the most researched area while science and technology were the most influential research area. Clustering network were created and growth of each four cluster topic includes 1) Creativity Research, 2) Educational and Innovation, 3) Art and Creative Process, 4) History and Philosophy of Science were discussed over the time. The first cluster covers creativity research within and between individuals. The second cluster covers the connection between education and innovation where researchers promote creativity in the education sphere leading to innovative products. The third cluster covers arts as the significant domain of the creative field. The fourth cluster covers the history and Philosophy of Science.
Abstract
Scientific thought and work have been viewed as a creativity product since 1930, and scientist known as a person who conduct creative work according to the four P creative approach. The limited studies about systematic literature scientist creativity promote this research to examine research trends of scientist creativity. This study also identifies future research implications through qualitative systematic review. Through bibliometric and clustering keywords network analysis, this study explores the research trends related to scientist creativity from 2004 to 2020. Metadata from Web of Science Core Collection database collected and bibliometrics analysis was done to identify the most influential research area, country, and the research trend. Furthermore, co-occurrence keywords analysis, clustering network were created using Text Mining ‘TM’, Network Analysis Visualization ‘igraph’ packages in R software. Educational and education research was the most researched area while science and technology were the most influential research area. Clustering network were created and growth of each four cluster topic includes 1) Creativity Research, 2) Educational and Innovation, 3) Art and Creative Process, 4) History and Philosophy of Science were discussed over the time. The first cluster covers creativity research within and between individuals. The second cluster covers the connection between education and innovation where researchers promote creativity in the education sphere leading to innovative products. The third cluster covers arts as the significant domain of the creative field. The fourth cluster covers the history and Philosophy of Science.
참고문헌 (55)
- Amabile, T. M., "Social psychology of creativity : A consensual assessment technique", Journal of Personality and Social Psychology, 43, pp.997~ (1982)
- Amabile, T. M., "The dynamic componential model of creativity and innovation in organizations : Making progress, making meaning", Research in Organizational Behavior, 36, pp.157~183 (2016)
- Baer, J., "Creativity Research in English-Speaking Countries" (2006), Cambridge University Press
- Bakillah, M., "Geo-located community detection in Twitter with enhanced fast-greedy optimization of modularity : the case study of typhoon Haiyan", International Journal of Geographical Information Science, 29, pp.258~279 (2015)
- Bamberger, Y. M., "Encouraging girls into science and technology with feminine role model : Does this work", Journal of Science Education and Technology, 23, pp.549~561 (2014)
- Beghetto, R. A., "Who studies creativity and how do we know", Creativity Research Journal, 13, pp.351~357 (2001)
- Blair, C. S., "Errors in idea evaluation : Preference for the unoriginal", The Journal of Creative Behavior, 41, pp.197~222 (2007)
- Brooks, R., "Practitioner capability", Higher Education, Skills and Workbased Learning, 10, pp.687~692 (2014)
- Castillo-Vergara, M., "A bibliometric analysis of creativity in the field of business economics", Journal of Business Research, 85, pp.1~9 (2018)
- Dai, D. Y., "Motivation, Emotion, and Cognition: Integrative Perspectives on Intellectual Functioning and Development" (2004), Routledge
- DiPaola, S., "Exploring a parameterised portrait painting space", International Journal of Arts and Technology, 2, pp.82~93 (2009)
- Ellegaard, O., "The bibliometric analysis of scholarly production : How great is the impact", Scientometrics, 105, pp.1809~1831 (2015)
- Feist, G. J., "A meta-analysis of personality in scientific and artistic creativity", Personality and Social Psychology Review, 2, pp.290~309 (1998)
- Feist, G. J., "Trends in the creativity literature : An analysis of research in the Journal of Creative Behavior(1967–1989)", Creativity Research Journal, 6, pp.271~283 (1993)
- Frandsen, T. F., "Article impact calculated over arbitrary periods", Journal of the American Society for Information Science and Technology, 56, pp.58~62 (2005)
- Gali, G. F., "Methodical features of foreign language teaching to linguistically gifted students of non-linguistic specialties : Foreign experience", International Review, 2019, pp.106~112 (2019)
- Gardner, H., "Creating Minds: An Anatomy of Creativity Seen Through the Lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham, and Ghandi" (2011), Civitas books
- Haase, J., "A meta-analysis of the relation between creative self-efficacy and different creativity measurements", Creativity Research Journal, 30, pp.1~16 (2018)
- Hofstee, W. K., "Integration of the big five and circumplex approaches to trait structure", Journal of Personality and Social Psychology, 63, pp.146~ (1992)
- Iftikhar, P. M., "A bibliometric analysis of the top 30 most-cited articles in gestational diabetes mellitus literature (1946-2019)", Cureus, 11, pp.e4131~ (2019)
- Kaufman, J. C., "Creativity 101" (2016), Springer publishing company
- Kelly, G. J., "History, Philosophy and Science Teaching", pp.139~165 (2018), Springer
- Kleinberg, J. M., "Hubs, authorities, and communities", ACM Computing Surveys, 31, pp.5~ (1999)
- Long, H., "Research productivity and performance of journals in the creativity sciences: A bibliometric analysis", Creativity Research Journal, 26, pp.353~360 (2014)
- Lozano, S., "Complex network analysis of keywords co-occurrence in the recent efficiency analysis literature", Scientometrics, 120, pp.609~629 (2019)
- Luo, H., "Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis", BMC Bioinformatics, 16(13), pp.1~9 (2015), BioMed Central
- Mumford, M. D., "Process analytic models of creative capacities", Creativity Research Journal, 4, pp.91~122 (1991)
- Nemeth, C. J., "Creative collaborations from afar : The benefits of independent authors", Creativity Research Journal, 17, pp.1~8 (2005)
- "Creative Thinking Framework, 2019" (2021)[URL]
- Park, G., "Contrasting intellectual patterns predict creativity in the arts and sciences: Tracking intellectually precocious youth over 25 years", Psychological Science, 18, pp.948~952 (2007)
- Patrick, C, "Creative Thought in Poets" (1935), Columbia University
- Patrick, C., "Creative thought in artists", The Journal of Psychology, 4, pp.35~73 (1937)
- Patrick, C., "Scientific thought", The Journal of Psychology, 5, pp.55~83 (1938)
- Peters, E., "The effect of nature of science metacognitive prompts on science students’ content and nature of science knowledge, metacognition, and self-regulatory efficacy", School Science and Mathematics, 110, pp.382~396 (2010)
- Plucker, J. A., "Toward a science of creativity : Considerable progress but much work to be done", The Journal of Creative Behavior, 51, pp.301~304 (2017)
- Plucker, J. A., "Why isn't creativity more important to educational psychologists? Potentials, pitfalls, and future directions in creativity research", Educational Psychologist, 39, pp.83~96 (2004)
- Rothenberg, A., "Creativity and the homospatial process : Experimental studies", Psychiatric Clinics of North America, 11, pp.443~459 (1988)
- Runco, M. A., "Commentary: Divergent thinking is not synonymous with creativity", Creativity, and the Arts, 2, pp.93~96 (2008)
- Runco, M. A., "The standard definition of creativity", Creativity Research Journal, 24, pp.92~96 (2012)
- Simonton, D. K., "Creativity in Science: Chance, Logic, Genius, and Zeitgeist" (2004), Cambridge University Press
- Smith, J. K., "The 1. 5 criterion model of creativity : Where less is more, more or less", The Journal of Creative Behavior, 51, pp.281~284 (2017)
- STERNBERG, R. J. E., "The Nature of Creativity: Contemporary Psychological Perspectives" (1988), CUP
- Sternberg, R. J., "Investing in creativity", American Psychologist, 51, pp.677~ (1996)
- Sternberg, R. J., "The predictive value of IQ", Merrill-Palmer Quarterly, 47, pp.1~41 (2001)
- Tang, C., "Personal characteristics that distinguish creative scientists from less creative scientists", The Journal of Creative Behavior, 51, pp.204~215 (2017)
- Urban, K. K., "Assessing Creativity : The Test for Creative Thinking-Drawing Production(TCT-DP)", International Education Journal, 6, pp.272~280 (2005)
- Van Eck, N. J., "Measuring Scholarly Impact", pp.285~320 (2014), Springer
- Vazire, S., "Implications of the credibility revolution for productivity, creativity, and progress", Perspectives on Psychological Science, 13, pp.411~417 (2018)
- Wallas, G., "The Art of Thought" (1926), Harcourt
- Waltman, L., "The Leiden Ranking 2011", 2012 : Data collection, indicators, and interpretation, 2012, pp.63, 2419~2432
- Wang, T., "Identifying the gaps in construction megaproject management research: A bibliographic analysis", International Journal of Construction Management, pp.1~12 (2020)
- Weingart, P., "Impact of bibliometrics upon the science system : Inadvertent consequences", Scientometrics, 62, pp.117~131 (2005)
- Zhang, J., "Comparing keywords plus of WOS and author keywords : A case study of patient adherence research", Journal of the Association for Information Science and Technology, 67, pp.967~972 (2016)
- Zhang, W., "Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011", Quality & Quantity, 49, pp.1023~1038 (2015)
