THE FACTORS AFFECTING DIGITAL PERFORMANCE EFFICIENCY OF STAFFS OF THE PROVINCIAL EDUCATION OFFICE IN 2nd (THE SECOND) AND CENTRAL INSPECTION AREAS

Abstract

Objectives of this research article were: 1. To study opinions on the factors that affected the digital performance of personnel. 2. To study internal factors that were related to the digital performance of personnel and 3. To study internal factors that affected the digital performance of personnel in the Provincial Education Office in the Provincial Inspectorate 2 and Central Inspection Areas, conducted by quantitative research methods. The samples were 106 personnel in the Provincial Education Office in the Inspectorate 2 and the Central Inspectorate areas. Statistics used were 1. Descriptive statistics, including percentage and mean calculations, and 2. Inferential statistics, including t-test, one-way variance analysis. Pearson Correlation Coefficient Test and Multiple Regression Analysis The statistical significance used in this study was set at 0.05

The research results were found that the sample group had a high level of opinions on factors affecting the digital performance efficiency of Staffs of The Offices, including work motivation factors, organizational culture factors and factors related to knowledge and understanding of digital skills and a high level on the digital performance efficiency of staffs of the Offices. The results of hypothesis testing showed that staff in the Offices, with different personal factors, did not exhibit significant differences in their digital performance efficiency, with a statistically significant level at 0.05. As for the factors related to work motivation, organizational culture factors. Additionally, factors related to knowledge and understanding of digital skills were all associated with the digital performance efficiency of personnel at the Offices. Meanwhile, the factors influencing the digital performance efficiency of Staffs of the Offices were 5 factors from 3 main categories. They were work motivation factors, which included hygiene factors; organizational culture factors, such as tolerance for risk, identity, and communication styles, and knowledge and understanding of digital skills, specifically characteristic factors, with statistically significant level at 0.05.