Authors :
BENDU Ariana Dukuly
Volume/Issue :
Volume 8 - 2023, Issue 10 - October
Google Scholar :
https://tinyurl.com/2dp7hmn7
Scribd :
https://tinyurl.com/yev9dcff
DOI :
https://doi.org/10.5281/zenodo.10044005
Abstract :
The research’s overall objective was to
examine effects of warehousing management on
organizational efficiency; a case of Africa Global
Logistics, Rwanda Ltd. The specific objectives are; to
determine the effect of order picking on organizational
efficiency, to assess the effect of inventory tracking
measures on organizational efficiency, to investigate the
effect of automated and retrieval inventory control
system on organizational efficiency and to analyse the
effect of material handling on organizational efficiency.
In order to achieve these objectives, the researcher used a
descriptive and correlation research designs. In this
research, the researcher further considered a sample size
of 96 respondents from selected department atAfrica
Global Logistics, Rwanda Ltd. To select them, the
researcher used stratified sampling technique.
Questionnaire was use to collect the data of this research
and data were analyzed using the mean, standard
deviation as well as the correlational and regression
analysis. High R Square (Coefficient of Determination):
The R Square value of 0.908 indicates that approximately
90.8% of the variance AGL's performance can be
attributed to the predictors considered in the model. This
high percentage validates our previous discussions
regarding the substantial influence of warehouse
management practices on overall efficiency. Adjusted R
Square and Generalization: The Adjusted R Square value
of 0.623, while slightly lower than the R Square, indicates
that around 62.3% of the variance is genuinely explained
by the model's predictors after accounting for factors like
the number of predictors and sample size. This resonates
with our earlier emphasis on creating a model that can
generalize well to new data and avoid over fitting. This
study therefore highlights the intricate relationships
between warehousing management and organizational
performance at the AGL. The alignment findings with
existing research reinforces the importance of practices
such as communication, inventory tracking, and material
handling in driving performance. By implementing the
researcher’s recommendations, AGL can further elevate
their organizational efficiency and continue to deliver
exceptional service to their customers. Based on these
findings, the study offers the following recommendations
to AGL for enhancing organizational performance;
wihile the impact of order picking on organizational
efficiency was statistically significant in this study, AGL
should still continue on the path of regular evaluations
and refinements of their order picking processes to
identify potential performance gains.
Keywords :
Warehouse, Management and Organizational Performance.
The research’s overall objective was to
examine effects of warehousing management on
organizational efficiency; a case of Africa Global
Logistics, Rwanda Ltd. The specific objectives are; to
determine the effect of order picking on organizational
efficiency, to assess the effect of inventory tracking
measures on organizational efficiency, to investigate the
effect of automated and retrieval inventory control
system on organizational efficiency and to analyse the
effect of material handling on organizational efficiency.
In order to achieve these objectives, the researcher used a
descriptive and correlation research designs. In this
research, the researcher further considered a sample size
of 96 respondents from selected department atAfrica
Global Logistics, Rwanda Ltd. To select them, the
researcher used stratified sampling technique.
Questionnaire was use to collect the data of this research
and data were analyzed using the mean, standard
deviation as well as the correlational and regression
analysis. High R Square (Coefficient of Determination):
The R Square value of 0.908 indicates that approximately
90.8% of the variance AGL's performance can be
attributed to the predictors considered in the model. This
high percentage validates our previous discussions
regarding the substantial influence of warehouse
management practices on overall efficiency. Adjusted R
Square and Generalization: The Adjusted R Square value
of 0.623, while slightly lower than the R Square, indicates
that around 62.3% of the variance is genuinely explained
by the model's predictors after accounting for factors like
the number of predictors and sample size. This resonates
with our earlier emphasis on creating a model that can
generalize well to new data and avoid over fitting. This
study therefore highlights the intricate relationships
between warehousing management and organizational
performance at the AGL. The alignment findings with
existing research reinforces the importance of practices
such as communication, inventory tracking, and material
handling in driving performance. By implementing the
researcher’s recommendations, AGL can further elevate
their organizational efficiency and continue to deliver
exceptional service to their customers. Based on these
findings, the study offers the following recommendations
to AGL for enhancing organizational performance;
wihile the impact of order picking on organizational
efficiency was statistically significant in this study, AGL
should still continue on the path of regular evaluations
and refinements of their order picking processes to
identify potential performance gains.
Keywords :
Warehouse, Management and Organizational Performance.
