The impact of administrative information technology on decision-making with the administrative leadership in the Governorates of Aden and Lahj
DOI:
https://doi.org/10.59325/sjhas.v6i4.178Keywords:
administrative information technology, decision making, administrative leadership.Abstract
The study aimed to identify the impact of information technology on administrative decision-making among the administrative leaders in the governorates of Aden and Lahj. Due to its suitability to the nature of the study.
The study population and its sample were identified from the administrative leadership staff in the governorates of Aden and Lahj. The researcher distributed (180) individuals to a random sample of the administrative leaders in the ministries of the state. For the purpose of collecting field data, the study tool was determined by the questionnaire as the appropriate tool, and in light of the study objectives and its variables, the researcher analyzed Its data using the statistical methods represented by the following: frequencies, percentages, Alpha Cronbach coefficient, arithmetic means, standard deviations, T-test for two independent samples, and one-way analysis of variance. The statistical analysis process yielded the following results:
- The level of practice of applying administrative information technology among the administrative leaders in the institutions of the governorates of Aden and Lahj was high.
- The level of decision-making among the administrative leaders in the governorates of Aden and Lahj is at a high level.
- There is no statistically significant effect at the level (α = 0.05) between administrative information technology among the administrative leaders in the governorates of Aden and Lahj and Yazza (for gender, work, qualification, experience, training courses, and age).
- There is a significant correlational effect between administrative information technology in the administrative decision-making process of the leaders of the institutions of the governorates of Aden and Lahj.
- There are no statistically significant differences at the level of significance (0.05) between the average responses of the study sample towards the study variables (management information technology and decision-making) due to the variables (gender, work, qualification, experience, training courses, and age).
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