International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
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Volume 8 Issue 5
September-October 2026

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Exploring the Relationship between Trust in Automation, Job Insecurity and Job Satisfaction Among Government School Teachers

Author(s) Ms. Amina
Country India
Abstract The present study examines the relationship between trust in automation, job satisfaction, and job insecurity among government school teachers. With the growing use of digital attendance systems, online reporting platforms, learning management systems, automated assessment tools, and artificial intelligence-based educational applications, teachers increasingly interact with automation as part of their everyday professional duties. The study adopts a quantitative, correlational, and cross-sectional research design. The sample comprises 180 government school teachers from Delhi-NCR, including 90 female teachers and 90 male teachers. Trust in automation is measured using the Trust in Automation Scale developed by Jian, Bisantz, and Drury (2000), job insecurity is measured using the Job Insecurity Scale developed by De Witte (2014), and job satisfaction is measured using the Minnesota Satisfaction Questionnaire developed by Weiss, Dawis, England, and Lofquist (1967). The Job Demands-Resources Model provides the theoretical framework for the study by explaining automation as a potential job resource when it is trusted and as a potential job demand when it is experienced as threatening or unreliable. The study investigates associations among the variables, predictive relationships, and gender differences. The proposed findings are expected to contribute to educational psychology, occupational psychology, and teacher well-being literature by clarifying how technological trust relates to work satisfaction and insecurity in government school settings.
Keywords trust in automation, job satisfaction, job insecurity, government school teachers, JD-R model, educational technology
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-09-29
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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