The content analysis of the Korean Journal of Industrial and Organizational Psychology from 1988 to 2018 and future suggestions

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TaeYong Yoo
HyunJun Lee
YounJin Ko
HyoIm Choe
MinKyung Kim
MinJae Myung
MinSeon Lee
EnGang Jo
SoonPil Hwang
MiSo Kim
GeneHyung Suh
HeeJung Son
EuiHyun Lee


 The purpose of this study is to systematically analyze the content of articles published in Korean Journal of Industrial and Organizational Psychology(KJIOP) which celebrated its 30th anniversary in 2018. In this current study, we analyzed 625 out of 627 articles published in 85 volumes over the past 30 years since its first issue in 1988. These articles were analyzed according to analysis items and classification criteria: the demographic characteristics of authors, research topics, research settings, research methods, types of participants, and types and frequency of statistical analysis. It was found that most of authors, 1,027(83.9%) out of 1,401, belong to psychology and the I/O psychology department, and 1,265(90.3%) researchers were from universities. Also, the number of female researchers, 15 in the first 10 years, had gradually increased to 109(23.2%) in the mid-term and increased to 293(36.0%) in the recent 10 years. In regards to the topic of the articles, 376(60.2%) were related to organizational psychology, which is one of the sub-categories in I/O psychology. The results from the analysis of research settings show that the majority of studies were conducted in the industrial setting. In the research method, survey by questionnaire was the most common method with 74.1%(463). Most of the studies(66.4%) obtained data from job incumbents in industrial settings. Similar to the first 10 years, factor analysis, correlational analysis, and regression analysis were most frequently used over 30 years and the types of statistical analysis have become more diverse. Furthermore, the use of on-line questionnaires in research have been expanded in the recent 10 years. As research topics had been sophisticated, new methods of analysis such as multi-level analysis, survival analysis, and non-linear analysis were actively used. Finally, research results published over the past 30 years were summarized according to their research topics. Based on the content analysis, the direction of the future KJIOP and additional research topics were discussed.


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Yoo, T., Lee, H., Ko, Y., Choe, H., Kim, M., Myung, M., Lee, M., Jo, E., Hwang, S., Kim, M., Suh, G., Son, H., & Lee, E. (2021). The content analysis of the Korean Journal of Industrial and Organizational Psychology from 1988 to 2018 and future suggestions. Korean Journal of Industrial and Organizational Psychology, 32(3), 297–362. (Original work published August 31, 2019)
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