An Assessment of IT-Enabled Supply Chain Management in the Manufacturing Sector: A Study of Firms in Kano State
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Background of the Study
The integration of IT in supply chain management (SCM) has revolutionized how manufacturing firms operate, enabling real-time tracking, predictive analytics, and seamless communication across supply chain networks. IT-enabled SCM enhances inventory management, supplier coordination, and demand forecasting, ultimately improving operational efficiency (Okonkwo & Yusuf, 2024).
In Kano State, a manufacturing hub in Nigeria, firms face challenges such as inefficient logistics, unpredictable demand, and supply chain disruptions. Leveraging IT solutions in SCM could address these issues and enhance competitiveness in local and international markets.
Statement of the Problem
Despite the potential benefits of IT-enabled SCM, its adoption in Kano State's manufacturing sector remains limited due to high implementation costs, inadequate infrastructure, and low digital literacy. As supply chain inefficiencies persist, manufacturing firms struggle with delays, high costs, and suboptimal productivity. This study investigates the effectiveness of IT-enabled SCM in addressing these challenges.
Objectives of the Study
- To assess the impact of IT-enabled SCM on operational efficiency in manufacturing firms in Kano State.
- To identify barriers to adopting IT-enabled SCM in the manufacturing sector.
- To explore strategies for improving IT-enabled SCM adoption and effectiveness.
Research Questions
- How does IT-enabled SCM impact operational efficiency in manufacturing firms in Kano State?
- What barriers hinder the adoption of IT-enabled SCM?
- What strategies can enhance IT-enabled SCM adoption and effectiveness?
Research Hypotheses
- IT-enabled SCM does not significantly impact operational efficiency in manufacturing firms in Kano State.
- Barriers to IT-enabled SCM adoption do not significantly affect its implementation.
- Strategies for improving IT-enabled SCM do not significantly enhance its effectiveness.
Scope and Limitations of the Study
The study focuses on manufacturing firms in Kano State utilizing or planning to adopt IT-enabled SCM between 2023 and 2025. Limitations include variability in IT infrastructure and adoption levels across firms.
Definitions of Terms
IT-Enabled Supply Chain Management: The use of technology to manage supply chain activities effectively.
Operational Efficiency: The ability to deliver products or services using minimal resources.
Predictive Analytics: Advanced analytics methods for forecasting future supply chain trends.
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