- Volume 16 Issue 2
DOI QR Code
Meta-analysis of the effects of TPM activity factors on Corporate performance
TPM 활동요인이 기업성과에 미치는 영향에 대한 메타분석
- Yeon, Keyong-Hwa (Dept. of Business Administration, Cheongju University)
- 연경화 (청주대학교 경상대학 경영학과)
- Received : 2018.01.02
- Accepted : 2018.02.20
- Published : 2018.02.28
The purpose of this study is to conduct a meta-analysis of 18 papers that can be verified among the papers on the subject of TPM. Five hypotheses were set for the analysis and meta - analysis was carried out with CMA as presented in each research paper. As a result of analysis, I-square value is more than 75% in four hypotheses. Therefore, the null hypothesis that the size of the population effect is the same for all studies was rejected. The reason for the heterogeneity is that the research characteristics such as the distribution of the respondents, the study conditions, the study period, and the study area are different. In this case, a summary statistic of the individual studies that can be classified according to the characteristics of the research is needed to analyze the effect size difference. However, individual studies do not provide a summary statistic that can classify the effect differences, so it is not possible to analyze the causes of heterogeneity.
TPM;Corporate performance;Meta-analysis;Effect size;Test of heterogeneity
Supported by : Cheongju University Research Institute of Business and Economics
- H. H. Song. (2001). Meta-analysis of medicine, nursing science, social science research. Seoul : Cheongmungag.
- L. V. Hedges & I. Olkin. (1983). Regression models in research synthesis, The American Statistician, 37, 137-140.
- S. D. Hwang. (2015). Meta-Analysis Using R. Seoul : Hagjisa.
- H. Kang. (2015). Statistical Considerations in Meta-Analysis. Hanyang Med Rev 35, Hanyang University College of Medicine, 23-32. https://doi.org/10.7599/hmr.2015.35.1.23
- KSA. The core of how to configure and deploy TPM. http://www.q-korea.net
- Y. A. Jin. (2015). Meta-analysis using Stata. Seoul : Korea University Press.
- S. Cohen & T. A. Will. (1998). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 2, 310-357
- Y. W. OH & K. C. LEE. (2005). The Study on the Utilization of TPM program Affecting the Productivity Increase. Korean Operations Research And Management Society Conference Proceedings. (pp. 961-966). Seoul : Korean Operations Research And Management Society.
- S. K. Park & C. H. Lee. (2007). A Study on the Contextual Factors Affect on the TPM Application for Loading and Unloading Equipments of Incheon Port, Journal of Korea Port Economic Association, 23(4), 23-47
- R. H. Cui & C. E. Kim. (2007). An Empirical Investigation on the Relationship between TPM, TQM and Production Performance of Manufacturing Industry. Journal of the Korea safety management & science, 9(3), 143-151.
- R. H. Cui. (2008). An Empirical Study on the Relationship Between TQM, TPM Implementation Factors and Manufacturing Performance-Focus on Chinese Manufacturing Industry-, Doctoral dissertation. Myongji University, Seoul.
- J. M. Park. (2009). The Effect of TPM Activities on Business Performance. Master dissertation. Daejeon University, Daejeon.
- J. S. Lee. (2011). The Impact of TPM Activities on the Business Performance of Small and Medium Sized Enterprises, Journal of Daehan Academy of Management Information Systems 30(4), 415-440.
- K. H. Yeon. (2012). Impacts of the TPM Activity Factor on Corporate's Performances. Journal of the Korea Contents Association, 12(1), 476-484. https://doi.org/10.5392/JKCA.2012.12.01.476
- H. M. Yang (2013). Impacts of TPM Activities on Management Performance in Small-medium Sized Manufacturing Firms. Doctoral dissertation. Honam University, Gwangju.
- T. K. Kim. Objective Research on How TPM Key Factor Affects Facility Efficiency - Focus on "B" Small Automobile Components Enterprise. Master dissertation. Seokeong University, Seoul.
- S. D. Hwang. (2016). Meta-Analysis. Seoul : Hagjisa.