3. Research Method

3.3. Data Analysis Method

In this paper, the data analysis can be classified into three steps. First, we conducted a descriptive analysis on the usage of various eco-materials in product line development at Patagonia in terms of different genders. The descriptive analysis includes the number of eco-materials used for different gender, patterns and product fit. This step helps us to identify which eco-materials are the most frequently used at Patagonia. Second, we conducted a factor analysis on gender difference, pattern design, and product fit in terms of eco-material usage at Patagonia. This method provides a deeper analysis on eco-design in various sectors (i.e., different gender, pattern design, and product fit); as a result we can have a clearer picture of eco-design practices at Patagonia. Third, we conducted a correlation analysis and explored the statistical relationship between the number of eco-materials used and design elements (i.e., gender difference, pattern design, and product fit), and the relationship between the number of eco-materials and online reviewers' opinions. This method provides strong evidence on how eco-design influences design decisions and consumers' opinions at Patagonia. More managerial insights are derived. Figure 1 shows the three steps of data analysis in this paper.


Figure 1. Three steps of data analysis in this paper.