Abstract
This study intended to establish the influence of Supply chain management on performance of textile firms in Nairobi City County.. This study used descriptive research design. Both qualitative and quantitative research design was used to complement each other. The target population of this study was 120 respondents from the textile firms in Nairobi City County. This is the unit of analyzes. My unit of observation was the seven textile firms. For this study the unit of analysis comprised: two senior textile managers, two senior procurement officers and one senior officer from finance in each of the firms. The study opted to do a census survey since the firms were very few. A purposive random sampling technique was used to pick the right respondents. Pilot test of 10 % was done for the purpose of confirming reliability and validity of the research instruments: Keywords: Claims, Delivery, Administration DOI : 10.7176/IEL/9-2-02 Publication date :March 31 st 2019
Highlights
In supply chain management production planning is the process of determining a tentative plan for how much production will occur in the several time periods, during an interval of time called the planning horizon
Summary of the Findings The main finding of the study and which tended to answer the research aim was that inventory management, relationship management, information flow and lead time are factors that have direct effects of textile firms, and accounts for up to 76.1% of the variation on performance of textile firms
The inventory management so adopted fails to foster best practices of modern firms and inclusiveness participation resulting in poor performance of the textile firms
Summary
The research design in this study was descriptive research design. The study describes the phenomena of this study in details with the help of both qualitative and quantitative research design. The design was very helpful considering the level of competition which increases every minute it is imperative to ignore the times of events that have a cause-effect on the perforce of textile industry and this approach puts more emphasis on matters at hand rather than the past and the future which is uncertain. It provides facts and suggestions on relationship between variables and their apparent causes (Franzosi, Roberto; Doyle, Sophie; MeClelland, Laura; Putnam, Caddie & Civari, Stefanie, 2013)
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