Research methods
perspective) or environmental strategy classification systems employed for the present work. Author evaluated data to determine how well it matched with the ESA and ESA factor types (Reay & Jones, 2016). Theoretical framework became a tool to interpret the adoption of environmental strategies and its main influencing factors in large Colombian firms. Subsequently, all the fragments thus identified were detached from their original sources and grouped according to the classification in question, to the finest possible level of detail (e.g., profit, compliance or societal manager’s perspective). This was done manually in each one of the case studies (e.g. Bank or Chemical Company or Association, etc.) (Figure 10).
Figure 8. Data classification
• Analysis and interpretation In the next step, the data that had been previously grouped according to classification was interpreted and analyzed using the proposed theoretical model, which related environmental strategies to specific ESA factors. Accordingly, these data were separately displayed for each case study in a visually coherent and integrated way. This allowed checking on a case-by-case basis for the matching between ESA factors and environmental strategies.
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