Enhancing Office Management Efficiency through Artificial Intelligence and ICT Innovations
Keywords:
AI in office management, ICT automation, workflow optimization, AI-powered decision-making, digital transformationAbstract
The integration of artificial intelligence (AI) and information and communication technology (ICT) is transforming office management by enhancing efficiency, decision-making, communication, and data security. This study explores the role of AI and ICT in automating administrative tasks, optimizing workflow, and improving collaboration in modern office environments. A comparative analysis between traditional and AI-driven office management demonstrates the advantages of automation, predictive analytics, AI-powered communication tools, and cybersecurity measures. The study also examines key AI and ICT tools such as cloud computing, virtual assistants, enterprise resource planning (ERP), and AI-driven threat detection. While AI adoption presents challenges such as high implementation costs, employee skill gaps, and ethical concerns, strategic planning and policy frameworks can facilitate successful integration. The study concludes by highlighting future trends, including AI-powered predictive analytics, the Internet of Things (IoT), and 5G advancements, which will further revolutionize office management. Recommendations for organizations and policymakers emphasize investment in digital transformation, employee training, and data security to maximize the benefits of AI-driven office management.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Applied Sciences, Computing, and Energy

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal the right of first publication. Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), permitting unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
How to Cite
Most read articles by the same author(s)
- Edikan Nnabuk, Peter Aroge, Foreign Exchange Rate Factors and Firm Performance: An Empirical Analysis of Nigeria’s Manufacturing Sector , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Edikan Nnabuk, Ifeanyi Samson Eze, Nnabuk Okon Eddy, Enhancing Nuclear Knowledge Management for Sustainable Development in Nigeria: Challenges, Strategies, and Lessons from International Case Studies , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
Similar Articles
- Nnabuk Okon Eddy, Ifeanyi Adolphus Ucheana, Financial Strategies for Equipment Acquisition, and Sustenance of Scientific Laboratories: A Case Study of the Nuclear Science Laboratory at the University of Nigeria , Applied Science, Computing, and Energy: Vol. 2 No. 1 (2025): VOLUME 2 ISSUE 1
- Egbuhuzor Udechukwu Peter, Okoro Enyinnaya Okoro, Enhancing Rainfall-Runoff Prediction Accuracy using Artificial Neural Networks: A Case Study of Bida, Nigeria , Applied Science, Computing, and Energy: Vol. 3 No. 1 (2025): VOLUME 3 ISSUE 1
- Elizabeth Ope, Yejide R. Alli, Nofisat Abdulsalam, Abiodun Saheed Ajadi, Predictive Financial Risk Monitoring Using Artificial Intelligence, Advanced Machine Learning and Business Strategy Analytics , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Zainab Bukola Winjobi-Arikewuyo, Mustapha Ridwan Olamilekan, Building a Computational Model for Mapping Religious Identity and Cultural Belonging among African Diaspora Communities , Applied Science, Computing, and Energy: Vol. 1 No. 1 (2024): VOLUME 1 ISSUE 1
- Samira Sanni, A Review on Sustainable Procurement in the Age of AI: Leveraging Intelligent Systems to Advance U.S. Climate and Economic Resilience , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Peter E. Oko, Anthony O. Agorye, Idorenyin L. Udousoro, Prevalence and Pattern of Occupational Diseases among Quarry Workers in Akamkpa, Cross River State, Nigeria , Applied Science, Computing, and Energy: Vol. 4 No. 4 (2026): Volume 4, Issue 4
- Ifiok Dominic Uffia, Ifiok Dominic Uffia, Ofonimeh Emmanuel Udofia, Iniobong Bruno Nsien, Rose Okopide Esen, Christiana Samuel Udofia, Comparative Preliminary Phytochemical Screening and Antibacterial Properties of the Fruit Epicarp and Seed Extracts of Cola lepidota K. Schum , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Joseph Amajama, Eyime Echeng Eyime, Sameul Eyen, Efa Ikpi, Effect of Wooded Channels on 519.25-MHz UHF Radio Wave Propagation , Applied Science, Computing, and Energy: Vol. 2 No. 2 (2025): VOLUME 2 ISSUE 2
- Aniedi Effiong, B‑A‑G‑S: A Research Architecture for Counterfeit Prevention in Consumer Device Supply Chains , Applied Science, Computing, and Energy: Vol. 3 No. 3 (2025): Volume 3, Issue 3
- Chidi P. Njoku, Maryclaret N. Nwaodu , Benedict Chinonye Anyanwu , Bright C. Onyekwere, Ijeoma S. Okoro, Sampson D. Umoh, Anita K. Williams, GC-MS Characterization and Phytochemical Determination of Buchholzia coriacea Seeds: Insights into Its Ethnomedicinal Potential , Applied Science, Computing, and Energy: Vol. 4 No. 5 (2026): Vol 4, Issue 5
You may also start an advanced similarity search for this article.