Transport Management Systems and Supply Chain Performance of Tea Factories in Meru County

Authors

  • Emily Naitore Mwiraria Meru University of science and Technology
  • Dr. Mathias Nzomo Meru University of science and Technology
  • Prof. Guyo Huka Meru University of science and Technology

DOI:

https://doi.org/10.47941/ijscl.3164

Keywords:

Transport Management Systems, Supply Chain Performance, Tea Factories

Abstract

Purpose: This study sought to assess the influence of Transport Management Systems on Supply Chain Performance of Tea Factories in Meru County.

Methodology: The theory adopted in this study was, Material Flow Theory. This study utilized Analytical Cross-Section Research Design, while the target population was 1,230 respondents, with a sample size of 302. Data collection instruments comprised of primary data, using questionnaires. Content and Construct validity were used to check the validity of research instruments. Descriptive statistics tools including mean, mode, standard deviation and variances were used. The research data was investigated for the adherence to the assumptions of multiple linear regression analysis with the help of ordinary least square assumptions, and it was found to be free from Normality, Multi-collinearity and Auto-correlation.

Findings: Inferential statistics in form of correlation and multiple regression analyses were employed. Correlation results show that the correlation coefficient between Transport Management Systems and Supply Chain Performance is r=0.610. The research hypotheses was tested and the Hypothesis value was 0.000. The following are multiple regression results: The R squared value is 0.372, while adjusted R Square is 0.369. When it comes to ANOVA test, the F value was 165.00 and p value was 0.000. The significant test results for the overall model indicate that Transport Management Systems had a coefficient of 0.610.  It was concluded that Transport Management Systems highly influenced Supply Chain Performance by optimizing transport operations and easing their visibility.

Unique Contribution to Theory, Practice and Policy: The following recommendations were made: Examining the utilization of digital platforms that expedite communication between Tea Farmers and Factories, Assessing the influence of Digital Logistics Systems on empowering smallholder Tea farmers by building on access to markets, fair pricing and timely logistics and how implementation of Transport Management Systems in Tea Factories can affect the competitiveness of Meru’s Tea in international markets.

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Author Biographies

Emily Naitore Mwiraria, Meru University of science and Technology

Post Graduate Student

Dr. Mathias Nzomo, Meru University of science and Technology

Lecturer

Prof. Guyo Huka, Meru University of science and Technology

Lecturer

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Published

2025-09-10

How to Cite

Mwiraria, E. N., Nzomo, M., & Huka, G. (2025). Transport Management Systems and Supply Chain Performance of Tea Factories in Meru County. International Journal of Supply Chain and Logistics, 9(7), 73–92. https://doi.org/10.47941/ijscl.3164

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Articles