EconPapers    
Economics at your fingertips  
 

Cultural Intelligence and Organisational Performance among the Staff of Federal Polytechnic, Ilaro, Ogun State

AL’HASSAN-Ewuoso, Hadir Olasunkanmi and Margaret Oluseyi Lawal
Additional contact information
AL’HASSAN-Ewuoso, Hadir Olasunkanmi: Department of Business Administration Crescent University, Abeokuta, Ogun State, Nigeria
Margaret Oluseyi Lawal: Department of Business Administration, The Federal Polytechnic, Ilaro, Ogun State, Nigeria

International Journal of Latest Technology in Engineering, Management & Applied Science, 2024, vol. 13, issue 10, 67-72

Abstract: This study investigates the impact of cultural intelligence (CI) on organisational performance among the staff of the Federal Polytechnic, Ilaro, Ogun State, Nigeria. The research targeted all 989 staff members, with a sample size of 278, determined via Cochran's formula and selected through simple random sampling. Data was collected through a structured questionnaire using a 4-point Likert scale and disseminated via Google Forms. The instrument demonstrated high validity and reliability, with a Cronbach’s Alpha of 0.880. Multiple linear regression analysis performed with SPSS indicated that CI, especially its cognitive and metacognitive dimensions, significantly affects organisational performance, shown by an R-squared value of 0.542. Cognitive intelligence enhances problem-solving, innovation, and adaptability, while metacognitive intelligence fosters reflective practices and teaching effectiveness. The study underscores the significance of CI in diverse educational settings and recommends tailored CI training and ongoing professional development to foster an inclusive and high-performing workplace

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.ijltemas.in/DigitalLibrary/Vol.13Issue10/67-72.pdf (application/pdf)
https://www.ijltemas.in/papers/volume-13-issue-10/67-72.html (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjb:journl:v:13:y:2024:i:10:p:67-72

Access Statistics for this article

International Journal of Latest Technology in Engineering, Management & Applied Science is currently edited by Dr. Pawan Verma

More articles in International Journal of Latest Technology in Engineering, Management & Applied Science from International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS)
Bibliographic data for series maintained by Dr. Pawan Verma ().

 
Page updated 2025-03-19
Handle: RePEc:bjb:journl:v:13:y:2024:i:10:p:67-72