Presenting the Model of Using Crowdsourcing in Formulating an Open Strategy

In terms of the basic practical purpose, in terms of nature, survey research, and in terms of paradigm, combined-exploratory research, sampling in the qualitative part of the research was done in a purposeful way and in the quantitative part in a stratified random manner. In this regard, the project’s first step was to conduct library studies and collect information. In this regard, it was investigated with a review of the theoretical foundations and internal and external research related to the use of crowdsourcing in the development of open strategy. In this research, due to the lack of research based on the use of crowdsourcing in developing an open strategy and the need to know how to explain the phenomenon in a real context, it is inevitable to follow a qualitative paradigm. On the other hand, the need to purify the factors, explain the model, as well as examine the state of the model and its components and relationships descriptively requires the use of quantitative methods, so a mixed approach that includes qualitative and quantitative methods will be used. First is the organization’s semi-structured interview, which includes crowdsourcing in developing an open strategy and how to rank the factors. The research method was carried out purposefully in the qualitative part of the research and stratified randomly in the quantitative part. They are in the qualitative phase of interviews with managers and vice presidents of Cable manufacturing companies in the United States, interviews will continue until theoretical saturation is reached. The research tool in the qualitative part will be determined by using the exploratory method of using the components of crowdsourcing in developing an open strategy and the factors affecting it, the sampling method in the qualitative part is purposeful. The research tool in the qualitative part of the exploratory interview is semi-structured, and in the qualitative part, the analysis of the interviews was done using the foundational data analysis method. And finally, the final model has been presented and fitted.