开放式编码是对原始数据进行概念化、范畴化的过程要求研究者不持任何偏见、理论成见来进行研究在打乱、碎片化的资料基础上重新概念化现象以实现明确现象、界定概念和发现范畴的目的1516。经过开放式编码过程共提炼出47个概念再聚类出坚持环保理念、履行社会责任、响应政府号召等 32个与本研究主题相关的初始范畴表 1 为部分开放式编码示例。

Open coding is a process of conceptualizing and categorizing raw data. It requires researchers to conduct research without any bias or theoretical prejudice. Based on fragmented and disjointed data, researchers re-conceptualize phenomena to achieve the goal of clarifying phenomena, defining concepts, and discovering categories. After the open coding process, a total of 47 concepts were extracted and 32 initial categories related to the theme of this study, such as adhering to environmental protection concepts, fulfilling social responsibilities, and responding to government calls, were clustered. Table 1 shows some examples of open coding.