Browsing by Author "Tsigie Getie Adane"
Now showing 1 - 1 of 1
Results Per Page
Sort Options
Item Factors Affecting Technology Adoption in Improving Efficiency in Addis Ababa’s Textile Manufacturing Sector(A.A.U, 2025-06-23) Tsigie Getie Adane; Gemechu W. Olana (PhD)This study examines how technology uptake has impacted business performance in the Addis Ababa textile manufacturing industry, threats and opportunities. Textile industry development is at the center of Ethiopian economic growth and employment as fueled by emerging technologies in automation and analytics. Effort is however hindered by low technology, low skills, and infrastructural vulnerabilities. Adapting to these vulnerabilities necessitates strategic governmental investment and employee skills enhancement. Motivated by vision that focuses on augmenting productivity and competitiveness, the research is focused on key determinants in technology such as automation, information technology, personnel training, and utilization of data. The data were obtained through the administration of structured questionnaires by 187 textile companies randomly and systematically selected from a population of 350 companies to ensure variability. Secondary data and primary responses were used as sources of information. Descriptive analysis revealed moderate adoption levels with average scores of 3.22 for automation, 3.31 for information systems, and 3.37 for supply chain integration. Interestingly, as a fact, expenditures on training and skill development were over 3.90 of the mean, suggesting concern at the high levels regarding appropriateness. Awareness of technological advantages irrespective of it, views on competitiveness and effectiveness were unclear. Inferential statistics produced high significant positive correlations: highly significant correlation (0.981) between automation and IT system implementation, and significant correlations between data analytics usage and IT systems (0.941), and between automation and data analytics usage (0.916). Regression analysis produced 83.5% variance explanation in efficiency by independent variables, with information systems technology explaining the most. The findings support technology spending and business performance dependence on a planned technology and human resource management foundation. Enterprise-level technology integration, improved training, and stakeholder engagement in maximizing productivity are proposed solutions. Mid-level reduction of stakeholder resistance, implementation complexity, and organizational long-term alignment are proposed solutions. Long-term effects of technology adoption and workers' attitudes would be a topic for future research to examine long-term development of Ethiopia's textile sector.