The Effect of Consultant Competency on Consulting Performance Using Text Mining and Meta-Analysis
Sang-Moon Kim1, Yen-Yoo You2, Chang-Won Lee3, Jung-Wan Hong4
1Sang-Moon Kim, Department of Knowledge Service and Consulting, Hansung University, Samseonyo, Seongbuk-gu, Seoul Metropolitan Government, Korea.
2Yen-Yoo You, Department of Division of Smart Management Engineering Consulting Track, Hansung University, Samseonyo, Seongbuk-gu, Seoul Metropolitan Government, Korea.
3Chang-Won Lee, Department of Public Administration, Hansung University, Samseonyo, Seongbuk-gu, Seoul Metropolitan Government, Korea.
4Jung-Wan Hong, Department of Industrial and Management Engineering, Hansung University, Samseonyo, Seongbuk-gu, Seoul Metropolitan Government, Korea.
Manuscript received on 01 January 2019 | Revised Manuscript received on 06 January 2019 | Manuscript Published on 07 April 2019 | PP: 286-290 | Volume-8 Issue- 3C January 2019 | Retrieval Number: C10650183C19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Various studies have been conducted on the same research topic. However, the results are the same in some cases but others in others. Therefore, it is necessary to conduct a systematic and quantitative analysis of various research results on the same topic using Meta – analysis. Methods/Statistical analysis: In this study, 96papers on the topics of ‘consultant competency’ and ‘consulting performance’ were extracted from the domestic dissertation published for 10 years from 2009 to 2018. Text mining was conducted to confirm that these articles cover the same topic. And the study of hypotheses related to the impact of consultant competency and attitude on consulting performance. A Meta – analysis of selected papers was conducted to draw general conclusions on the different conclusions. Text mining and Meta – analysis use statistical package R. Findings: As a result of text mining, the key keywords were ‘consulting’, ‘performance’, ‘consultant’, ‘management’, ‘effect’ and so on. These words have been identified as key words in the literature on consultant competency and consulting performance. Meta – analysis used correlation coefficients of variables. Hypothesis testing for the heterogeneity of the population of each study hypothesis and the effect size and the mean effect size were calculated. The consultant competency and attitude ability were found to have a great effect on consulting performance. In the analysis of the publication bias as to whether the individual study represents the entire group of research, the consultant competency had not publication bias, but the consultant attitude was confirmed to be a publication bias. Improvements/Applications: Inthis paper, Meta – analysis is conducted for theses, but it can be extended to articles published in academic journals in the future. It is also expected that the research topic will also be meaningful research to extend the general conclusion by expanding it to various conclusions about the same subject such as R & D performance and service quality.
Keywords: Meta-Analysis, Text Mining, R-Language, Consultant Competency, Consultant Attitude, Consulting Performance.
Scope of the Article: Simulation Optimization and Risk Management