Abstract

Purpose: The study sought to analyze influence of music industry on fashion in Uganda
 Materials and Methodology: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The results show that artists used expensive apparels to attract increased attention and following particularly online fan base. The style of fashion was determined by market demands. More than 30% of the online fans feel that the fashion used by artists and dancers is more revealing to arouse emotions and attachment to particular songs and artists. Music has long been known to influence fashion trends throughout the world. From music genres that emerged in different decades, musicians who have changed the way people dress and songs that capture a specific style or mood, music and fashion is undeniably intertwined. 
 Unique Contribution to Theory, Practices and Policies: The Roland Barthes theory and Music theory may be used to anchor future studies in the fashion sector. The study results will also benefit other stakeholders such as the policy makers as well as researchers and scholars from different parts of the world. The top management of fashion industries in the country will also use the study findings to improve music performance in all their activities and programs. The study recommends that the adoption of effective fashion development policies in the fashion industry will help to improve efficiency in their major operations and activities.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call