Effects Of Learning Capabilities On Supply Chain Performance Of Manufacturing Firms In Nairobi, Kenya

The main purpose of the study was establish the effects of learning capabilities on supply chain performance of manufacturing firms in Nairobi, Kenya. The study was guided by Resource Based View Theory. The study adopted explanatory research design. The study targeted a population of 750 registered manufacturing firms in Nairobi. The sample size is of the study was 261 procurement managers. The study used questionnaire as the main data collection instruments to collect primary data. Quantitative data collected using the questionnaires for all the objectives were analysed using descriptive statistics that is frequency, percentages, mean and standard deviation. Frequency tables were used to present the findings in relation to the objectives of the study. The inferential statistics used in this study were correlation and regression models. The study findings indicated that learning capabilities and supply chain performance of manufacturing firms had a positive strong and statistically significant correlation (r= 0.743; p<0.05). This implies that information sharing within departments enhances supply chain performance. The study concluded that leveraging learning capabilities, manufacturing firms can adapt to evolving market dynamics, anticipate changes in customer demands, and optimize their supply chain operations to achieve sustainable competitive advantage in the dynamic business landscape. The study recommends that manufacturing firms should ensure there exist proper company policy for sharing information within the company

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Publication Details

Journal
IOSR Journal of Business and Management
Published
2024-10-01
DOI
https://doi.org/10.9790/487x-2610153441
Primary Topic
Quality and Supply Management
Type
article
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article

Effects Of Learning Capabilities On Supply Chain Performance Of Manufacturing Firms In Nairobi, Kenya

Edwin Kimitei, Patrick Limo, Ann Gituiya
IOSR Journal of Business and Management
Quality and Supply Management
article

Effects Of Learning Capabilities On Supply Chain Performance Of Manufacturing Firms In Nairobi, Kenya

Edwin Kimitei, Patrick Limo, Ann Gituiya
article en

Abstract

The main purpose of the study was establish the effects of learning capabilities on supply chain performance of manufacturing firms in Nairobi, Kenya. The study was guided by Resource Based View Theory. The study adopted explanatory research design. The study targeted a population of 750 registered manufacturing firms in Nairobi. The sample size is of the study was 261 procurement managers. The study used questionnaire as the main data collection instruments to collect primary data. Quantitative data collected using the questionnaires for all the objectives were analysed using descriptive statistics that is frequency, percentages, mean and standard deviation. Frequency tables were used to present the findings in relation to the objectives of the study. The inferential statistics used in this study were correlation and regression models. The study findings indicated that learning capabilities and supply chain performance of manufacturing firms had a positive strong and statistically significant correlation (r= 0.743; p<0.05). This implies that information sharing within departments enhances supply chain performance. The study concluded that leveraging learning capabilities, manufacturing firms can adapt to evolving market dynamics, anticipate changes in customer demands, and optimize their supply chain operations to achieve sustainable competitive advantage in the dynamic business landscape. The study recommends that manufacturing firms should ensure there exist proper company policy for sharing information within the company

IOSR Journal of Business and ManagementVol. 26(10)
Moi University (KE)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Quality and Supply Management
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Effects Of Learning Capabilities On Supply Chain Performance Of Manufacturing Firms In Nairobi, Kenya — Edwin Kimitei, Patrick Limo, et al. · IOSR Journal of Business and Management (2024) | TGRS Research Map | TGRS