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the role of sourcing agents in global apparel supply chains

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11) How would you describe <strong>the</strong> current <strong>apparel</strong> <strong>in</strong>dustry bus<strong>in</strong>ess climate? Is it<br />

struggl<strong>in</strong>g, thriv<strong>in</strong>g, competitive etc.? Feel free to use your own descriptions.<br />

(Interview Objective #1)<br />

12) Are <strong>the</strong>re any <strong>of</strong>ficial regulat<strong>in</strong>g bodies for <strong>sourc<strong>in</strong>g</strong> agencies and how are<br />

agencies monitored, if at all? (Interview Objective #4)<br />

Data Analysis<br />

Quantitative Analysis<br />

Data represent<strong>in</strong>g four HTS codes was exam<strong>in</strong>ed to determ<strong>in</strong>e what production<br />

patterns have occurred <strong>in</strong> <strong>the</strong> <strong>apparel</strong> <strong>in</strong>dustry for <strong>the</strong> last 10 years. Data was compiled<br />

from raw statistics for trade volume by year <strong>in</strong> each product category, <strong>in</strong>clud<strong>in</strong>g women’s<br />

dresses <strong>of</strong> natural and syn<strong>the</strong>tic fibers and men’s t-shirts <strong>of</strong> natural and syn<strong>the</strong>tic fibers.<br />

Each product category was studied <strong>in</strong>dividually and <strong>the</strong>n plotted to show shifts <strong>in</strong> import<br />

quantity. The import volume by country <strong>in</strong> $U.S. was plotted over time <strong>in</strong> five year<br />

<strong>in</strong>crements from 1998 to 2008. After plott<strong>in</strong>g <strong>the</strong> results, <strong>the</strong> data from each <strong>of</strong> <strong>the</strong><br />

product categories was exam<strong>in</strong>ed for patterns and compared to <strong>the</strong> o<strong>the</strong>r product<br />

categories’ patterns <strong>of</strong> production by country.<br />

Qualitative Analysis<br />

Data from <strong>the</strong> <strong>in</strong>terviews were reduced through cod<strong>in</strong>g to elim<strong>in</strong>ate superfluous<br />

<strong>in</strong>formation ga<strong>the</strong>red dur<strong>in</strong>g <strong>the</strong> <strong>in</strong>terview process. Data reduction allows <strong>the</strong> researcher<br />

to transform <strong>the</strong> data <strong>in</strong>to a more manageable form that draws out <strong>the</strong>mes and patterns<br />

(Berg, 2009). Each <strong>in</strong>terview transcript was <strong>in</strong>itially reviewed and any relevant<br />

<strong>in</strong>formation to <strong>the</strong> objectives was noted. This process did not identify major <strong>the</strong>mes, but<br />

40

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