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The Impact of Administrative Communications in Enhancing The Effectiveness of Administrative Decisions Among Employees of The Iraqi Postal Sector, Yarmouk Branch, Baghdad Governorate - Iraq, an Applied Study
Corresponding Author(s) : Dunea Taleb Khadum
American Journal of Economics and Business Management,
Vol. 8 No. 2 (2025): February
Abstract
The research aimed to examine the importance of administrative communications in achieving the effectiveness of administrative decisions, while the study dealt with two dimensions (official communications - informal communications) in order to achieve the objectives of the study, as the study took employees of the Iraqi postal sector - Yarmouk branch - Baghdad - Iraq, as a sample of the study, while The study followed the descriptive analytical approach. The study tool consisted of a questionnaire distributed to a number of (22) employees of the Iraqi Post Office in Baghdad Governorate, Iraq. A number of (15) questionnaires were retrieved, of which (5) were invalid, while there were (10) questionnaires valid for application. The study, while the research followed the descriptive analytical method, was also based on a number of independent variables related to the personal characteristics of the study individuals, which are (gender, age, educational level, years of experience, job title, precise specialization), while the study concluded that there is a direct relationship between Official communications and the effectiveness of administrative decisions. That is, the more formal and informal communications there are, the more effective the organization’s administrative decisions become..
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- X. Fu, K. Lokesh Krishna, and R. Sabitha, “Artificial intelligence applications with e-learning system for China’s higher education platform,” Journal of Interconnection Networks, vol. 22, no. Supp02, p. 2143016, 2022.
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- H. S. Nwana, “Intelligent tutoring systems: An overview,” Artificial Intelligence Review, vol. 4, no. 4, pp. 251–277, 1990.
- A. C. Graesser, M. W. Conley, and A. Olney, “Intelligent tutoring systems,” 2012.
- M. P. L. Perera, “A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment,” International Journal of Engineering and Advanced Technology, vol. 10, pp. 37–42, Apr. 2021, doi: 10.35940/ijeat.D2297.0410421.
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- M. Elhossiny, R. Eladly, and A. Saber, “The integration of psychology and artificial intelligence in e-learning systems to guide the learning path according to the...”
References
X. Fu, K. Lokesh Krishna, and R. Sabitha, “Artificial intelligence applications with e-learning system for China’s higher education platform,” Journal of Interconnection Networks, vol. 22, no. Supp02, p. 2143016, 2022.
W. Ali, “Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic,” Higher Education Studies, vol. 10, no. 3, pp. 16–25, 2020.
A. Al-Hunaiyyan, S. Al-Sharhan, R. Alhajri, and A. Bimba, “An integrated implementation framework for an efficient transformation to online education,” International Journal of Advanced Computer Science and Applications, vol. 12, no. 4, pp. 52–61, 2021.
P. C. de Oliveira, C. J. C. de A. Cunha, and M. K. Nakayama, “Learning Management Systems (LMS) and e-learning management: An integrative review and research agenda,” JISTEM - Journal of Information Systems and Technology Management, vol. 13, pp. 157–180, 2016.
H. S. Nwana, “Intelligent tutoring systems: An overview,” Artificial Intelligence Review, vol. 4, no. 4, pp. 251–277, 1990.
A. C. Graesser, M. W. Conley, and A. Olney, “Intelligent tutoring systems,” 2012.
M. P. L. Perera, “A Review: Artificial Intelligent Approach for Enhancing Adaptability in an Adaptive E-Learning Environment,” International Journal of Engineering and Advanced Technology, vol. 10, pp. 37–42, Apr. 2021, doi: 10.35940/ijeat.D2297.0410421.
T. Chen, “Mutual Model of Multiagent Process in E-learning Architecture,” in 2008 International Symposium on Information Science and Engineering, 2008, pp. 154–158. doi: 10.1109/ISISE.2008.331.
M. Elhossiny, R. Eladly, and A. Saber, “The integration of psychology and artificial intelligence in e-learning systems to guide the learning path according to the...”