Use of Information and Communication Technology by Small and Medium Enterprises in Ogun State, Nigeria
Journal of Economics, Management and Trade · pp. 1–20 · Published 15 Apr 2019
10.9734/jemt/2019/v23i430137Abstract
Small and medium enterprises have emerged as promising opportunities to eliminate and reduce unemployment globally. Increasing levels of technological advancement has revolutionized the dynamics of the business terrain. However, SMEs in developing countries are yet to fully explore the benefits of Information and Communications Technology. Survey data was collected from 75 SME ICT users and non-users in Abeokuta and Otta through a structured questionnaire using stratified random sampling technique. Results of regression analysis revealed that demographic variable (Staff Strength) significantly influences use of ICT among SMEs while SME service delivery had no influence on ICT use. Also, analysis of variance on the categories of SMEs was not a determinant factor on the use of ICT. The outcome of this study has implications for owners/ managers of SMEs, stakeholders, government and academic researchers in developing countries as it can provide patterns to help bridge the existing digital divide especially among Nigerian SMEs.
Cited by 0
No indexed citations yet.
Related research
- An Information Technology Service Hub for Effective Service Delivery in Nigeria — shares topic coverage
- Understanding the Relationship between Unemployment and Inflation in Nigeria — shares topic coverage
- Impact of Foreign Direct Investment on Employment and Unemployment Rate in Nigeria: Application of Vector Autoregression(VAR) Models (1960-2014) — shares topic coverage
- Entrepreneurship Education: Panacea for Unemployment and Poverty among Business Education Graduates in South-South, Nigeria — shares topic coverage
- The Effect of Unemployment on Crime in Nigeria: A Panel Data Analysis — shares topic coverage
Article metrics
Real usage data collected on this platform.
5
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.