Comparison of the Current State of Training Productivity Damages of Pension, Savings, and Welfare Funds of Oil Industry Employees with the Desired State Based on the CIPP Model
Keywords:
injury, productivity, Training, SIP modelAbstract
The aim of this study was to compare the current state of training productivity damages of the pension, savings, and welfare funds of oil industry employees with their desired state based on the CIPP model. This applied study employed a descriptive–survey method. The statistical population consisted of 500 employees of the pension, savings, and welfare funds of oil industry employees in 2023, from which 217 participants were selected using Morgan’s table and convenience sampling. Data were collected via a researcher-made questionnaire validated through content validity ratio (CVR), content validity index (CVI), and confirmatory factor analysis; reliability was confirmed with Cronbach’s alpha above 0.7. Data were analyzed using SPSS-24 software through one-sample t-tests and Friedman tests. Inferential results indicated that the current state of training productivity damages was relatively favorable in background, input, and process factors, but relatively unfavorable in output factors. Nevertheless, all dimensions showed significant gaps from the desired level. Friedman’s ranking showed that damages were most severe in output factors and least in input factors. The greatest damage was related to the untimely provision of training costs, while the least was linked to the limited use of new educational technologies. The study revealed that training productivity in the pension, savings, and welfare funds of oil industry employees faces deficiencies across all CIPP dimensions, particularly in output performance. Enhancing educational productivity requires an integrated focus on all four dimensions of the CIPP model, improvement of training processes, adequate financial support, and the adoption of modern educational technologies.
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