ARTIFICIAL INTELLIGENCE (AI) SKILLS AND JOB PERFORMANCE OF OFFICE MANAGERS IN PUBLIC ORGANIZATIONS

Authors

  • Elizabeth Omone Ojo, PhD Department of Office Technology & Management, Yaba College of Technology, Yaba, Lagos.

Keywords:

Artificial Intelligence (AI), Skills, Office Managers, Job Performance, Public Organisations

Abstract

The study examined Artificial Intelligence (AI) skills required by office managers for effective job performance in public organizations. Two research questions and two hypotheses were raised. The study approach used was a descriptive survey. The target population comprised all the office managers (Secretaries) from the Ministries of Education, Commerce, Finance, Agriculture, and Community Development in Oke-Mosan, Ogun State. A sample size of 50 office managers was chosen using the purposive sampling approach. Self-developed questionnaire with 0.87 as reliability coefficient was adopted for data collection. The mean and standard deviation were used to answered research question 1. PPMC was used for research question 2. The t-test was used for testing hypotheses. The findings of the study revealed that machine learning skills, critical thinking skills, communication skills, problem solving skills, analytical judgement skills, programming skills, creativity skills, computing skills, data analysis skills and domain knowledge skills were among Artificial Intelligence (AI) skills required by office managers in public organizations. There was positive significant relationship between the independent variables (Artificial Intelligence (AI) skills) and the dependent variable (office managers job performance) in the order of (r = 0.460, P<.05).  It was recommended that government ministries should make an effort to set up programs for training and development that would help office managers work more effectively by acquiring new skills.

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Published

2025-05-02

How to Cite

ARTIFICIAL INTELLIGENCE (AI) SKILLS AND JOB PERFORMANCE OF OFFICE MANAGERS IN PUBLIC ORGANIZATIONS. (2025). Journal of the Management Sciences, 61(9), 297-310. https://journals.unizik.edu.ng/jfms/article/view/6035

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