A Thesis/Dissertation Submitted to School of Business in Partial Fulfillment of
the Requirement for the Award of Master's Degree in Master of Business
Administration (in Corporate Management)of Mzumbe University
The overall objective of this study was to examine how automation affects
employment in the manufacturing industry in Tanzania, the case study of Coca Cola
kwanza Ltd at Sam Nujoma Road Mikocheni Light Industrial Area in Dar es
Salaam.This study aimed to: determine the influence of automation on the
performance of manufacturing industries; understand the extent to which automation
has affected jobs, skills, and wages in manufacturing industries; establish staff
awareness on the cost and benefits of automation in the manufacturing industry. In
this study, both descriptive and inferential analyses were used in the analysis of data,
the descriptive analysis was conducted by indicating frequencies and percentages
while the inferential analysis was performed through simple regression to indicate
the connection between automation and employment in a company.
All department staffs with a total number of 700 employees at Coca Cola kwanza
were evaluated andthe major findings shown that the emergence of automation into
the production process caused a decrease in the production cost per unit output
through the time-saving, minimum workforce, and defect rate in production, meaning
that employment of automation increases manufacturing performance.Also findings
of this study shown that automation in manufacturing industries contribute in
increasing unemployment level as automated machines are replacing human workers.
The research concludes that automation plays important role to an organization and it
has enabled Coca Cola kwanza company to increase and maintain better
performance, such that with automation, the manufacturing industries can improve
their performance in terms of improving product quality and production capacity,
improve speed and output, and reducing product variability leading to reduction of
production costs. But automation has also resulted in decreasing the number of
workers in the company to a high extent, whereby many normally skilled workers in
manufacturing industry have been replaced by fewer highly skilled workers.
Therefore the study recommended that the government and manufacturing industries
should cooperate in adopting new technology and developing strategies that will be
beneficial to the society and industries.