Korean Journal of Industrial and Organizational Psychology

2020 ◽  
Keyword(s):  
Organizational Psychology ◽  
Korean Journal ◽  
Industrial And Organizational Psychology

scholarly journals Unstructured data analysis and visualization “Korean Journal of Industrial and Organizational Psychology(2010～2017)”

2018 ◽  
Vol 31 (2) ◽  
pp. 499-518 ◽  
Author(s):  
Insun Yi ◽  
Eunyoung Na
Keyword(s):  
Data Analysis ◽  
Emotional Labor ◽  
Turnover Intention ◽  
Behavior Management ◽  
Organizational Psychology ◽  
Unstructured Data ◽  
Korean Journal ◽  
Industrial And Organizational Psychology ◽  
Large Groups ◽  
The Relationship

With the spread of Big data, there is an increasing interest in Unstructured Data analysis techniques, and studies are being carried out to extract valuable information from vast amounts of academic data. Most passive analysis of large texts by humans is time consuming and laborious and difficult, so a technique that can automatically classify them in order to supplement them is needed. Therefore, this study analyzed and visualized by using Unstructured Data such as the main words, thesis title, and abstract of ‘Korean Journal of Industrial and Organizational Psychology’ published from 2010 to 2017. The results of the study are as follows. First, ‘organizational commitment’ was frequently used as a result of visualization of the key words using wordcloud. Job satisfaction, job enthusiasm, turnover intention, emotional labor showed the order. Second, the title of the paper and the abstract were automatically classified into 10 topics based on the LDA probability. Topic 8(organization/commitment/perception) was the highest, and Topic 5(behavior/management/boss) was the lowest. Third, the relationship between the main author and the correspondent author appeared as six large groups and several small groups. We were able to identify influential authors within the group. In this study, it is suggested that related researchers can get access to another research by deriving information from a vast amount of academic data more quickly and easily.

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

2019 ◽  
Vol 32 (3) ◽  
pp. 297-362
Author(s):  
TaeYong Yoo ◽  
HyunJun Lee ◽  
YounJin Ko ◽  
HyoIm Choe ◽  
MinKyung Kim ◽  
...  
Keyword(s):  
Content Analysis ◽  
Statistical Analysis ◽  
Organizational Psychology ◽  
Research Topics ◽  
The Past ◽  
Industrial Setting ◽  
Korean Journal ◽  
On Line ◽  
Industrial And Organizational Psychology ◽  
Analysis Survival

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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