What Are the Crucial Factors Explaining Job Satisfaction and Dissatisfaction in RMAs? Statistical Analysis Based on the Japanese Survey

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Title: What Are the Crucial Factors Explaining Job Satisfaction and Dissatisfaction in RMAs? Statistical Analysis Based on the Japanese Survey
Language: English
Authors: Shin Ito, Hiroaki Hanaoka, Norihiro Hirata, Makiko Takahashi
Source: Journal of Research Administration. 2025 56(2):20-40.
Availability: Society of Research Administrators International. 500 North Washington Street Suite 300, Falls Church, VA 22046. Tel: 703-741-0140; Fax: 703-741-0142; e-mail: membership@srainternational.org; Web site: https://www.srainternational.org/resources/journal
Peer Reviewed: Y
Page Count: 21
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Foreign Countries, Research Administration, Research Directors, Job Satisfaction, Universities, Researchers, Experimenter Characteristics, Occupational Information, Quality of Working Life, Work Environment, Online Surveys, Work Attitudes, Work Experience
Geographic Terms: Japan
ISSN: 1539-1590
Abstract: Research managers and administrators (RMAs) face several challenges due to the various tasks and roles required in university research management. One of the challenges is their workplace environment, including job satisfaction. However, little empirical research has statistically analyzed the relationships between job satisfaction and its factors among RMAs. This analysis divided job satisfaction into Job content satisfaction and Employment dissatisfaction. Regression analysis statistically verified the relationships using Japanese survey data of 245 individuals. The logistic regression results showed that if RMAs experience Esteeming work content after employment, they have high Job content satisfaction and low Employment dissatisfaction. Some characteristics of RMAs were also significantly related to Job content satisfaction. Another regression analysis confirmed that high Job content satisfaction and low Employment dissatisfaction had significantly positive relationships with Affective commitment. An additional interview survey enforced these results. Affective commitment generally predicts organizational performance and employee turnover reduction. Thus, the results imply that specific approaches to improve job content satisfaction and employment dissatisfaction are necessary for universities and other institutions that hire RMAs to enhance research activities. Furthermore, the results provide valuable suggestions for RMAs' career development and emphasize the characteristics of RMAs as a profession.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1491926
Database: ERIC
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  Data: What Are the Crucial Factors Explaining Job Satisfaction and Dissatisfaction in RMAs? Statistical Analysis Based on the Japanese Survey
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  Data: <searchLink fieldCode="DE" term="%22Japan%22">Japan</searchLink>
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Research managers and administrators (RMAs) face several challenges due to the various tasks and roles required in university research management. One of the challenges is their workplace environment, including job satisfaction. However, little empirical research has statistically analyzed the relationships between job satisfaction and its factors among RMAs. This analysis divided job satisfaction into Job content satisfaction and Employment dissatisfaction. Regression analysis statistically verified the relationships using Japanese survey data of 245 individuals. The logistic regression results showed that if RMAs experience Esteeming work content after employment, they have high Job content satisfaction and low Employment dissatisfaction. Some characteristics of RMAs were also significantly related to Job content satisfaction. Another regression analysis confirmed that high Job content satisfaction and low Employment dissatisfaction had significantly positive relationships with Affective commitment. An additional interview survey enforced these results. Affective commitment generally predicts organizational performance and employee turnover reduction. Thus, the results imply that specific approaches to improve job content satisfaction and employment dissatisfaction are necessary for universities and other institutions that hire RMAs to enhance research activities. Furthermore, the results provide valuable suggestions for RMAs' career development and emphasize the characteristics of RMAs as a profession.
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  Data: EJ1491926
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 20
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Research Administration
        Type: general
      – SubjectFull: Research Directors
        Type: general
      – SubjectFull: Job Satisfaction
        Type: general
      – SubjectFull: Universities
        Type: general
      – SubjectFull: Researchers
        Type: general
      – SubjectFull: Experimenter Characteristics
        Type: general
      – SubjectFull: Occupational Information
        Type: general
      – SubjectFull: Quality of Working Life
        Type: general
      – SubjectFull: Work Environment
        Type: general
      – SubjectFull: Online Surveys
        Type: general
      – SubjectFull: Work Attitudes
        Type: general
      – SubjectFull: Work Experience
        Type: general
      – SubjectFull: Japan
        Type: general
    Titles:
      – TitleFull: What Are the Crucial Factors Explaining Job Satisfaction and Dissatisfaction in RMAs? Statistical Analysis Based on the Japanese Survey
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            NameFull: Shin Ito
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            NameFull: Hiroaki Hanaoka
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            NameFull: Norihiro Hirata
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            NameFull: Makiko Takahashi
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            – D: 01
              M: 01
              Type: published
              Y: 2025
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            – TitleFull: Journal of Research Administration
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