Enhancing Competitiveness Ethiopian Fashion Industry through Color Forecasting Techniques
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Date
2018-10
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Addis Ababa University
Abstract
The aim of this research is to explore the enhancing competitiveness Ethiopian fashion industry
through colour forecasting techniques. This thesis developed a model of colour forecasting and
competitiveness factors based on a review of the literature to empirically investigate in one
single model: the effect of colour forecasting factors on fashion industry practices; the effect of
competitiveness factors on fashion industry practices; and the effect of competitiveness of colour
forecasting techniques on fashion industry practices. The sampling method which will be
applied in this study is the simple random sampling method. The researcher designed a
questionnaire to investigate attitudes of members towards fashion industry within their
industry, and their concerns about colour forecasting practice. One hundred questionnaires were
distributed to member’s fashion industry.
The data collected for the purpose of this study is analyzed. The analysis includes two parts:
First, descriptive analysis is presented. Second, factor analysis is conducted using the Structural
Equation Model (SEM), applying Exploratory Factor Analysis in the first stage to identify the
model that contains the factors that have the most significant impact on competitiveness of
colour forecasting techniques using SPSS -20, then in the second stage the fitness of the model is
tested through Confirmatory Factor Analysis using AMOS. Before implementing the SEM, the
data is tested for reliability and consistency, in order to ensure its validity for the analysis.
The finding of this thesis largely support hypothesis relationship proposed in the theoretical
model. The model suggests some correlation to compliment these factors and work together to
influence of competitiveness through colour forecasting, correlation are suggested to be
implemented regarding the dimension of market, technology, market demand on
competitiveness, social, environmental, psychological, market demand, as interaction those
factors could be considered as new dimension. Those results also provide strong evidence
relationship between colour forecasting and competitiveness dimensions. This thesis contributes
to theoretical and practical knowledge about relationship colour forecasting techniques and
competitiveness dimensions.
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Keywords
Color forecasting techniques, Fashion Competitiveness, Competitiveness