Identifying the drivers of the digital business ecosystem based on knowledge management in the tourism industry

The current research identifies the drivers of the ecosystem of digital businesses based on knowledge management in the tourism industry. The research method is of an applied type and was carried out with a hybrid approach (a combination of qualitative and quantitative methods), using thematic analysis, Max Quda software, structural equations, and SmartPLS and Mikmak software. The tools of data collection are interviews and questionnaires, and the sampling method in the qualitative part is purposeful judgment and in the quantitative part it is simply random. The statistical population in the qualitative section included 15 experts in the tourism industry, who were selected by a purposeful judgmental sampling method. The tool for collecting information in this section is a semi-structured in-depth interview. In the quantitative part, the statistical population including industrial and academic specialists and experts in the field of tourism were identified, and using Cochran's formula and sampling method, it was estimated that 384 people were available, of which 343 questionnaires were completed. In the qualitative section, 12 main categories were identified, including digital distribution, digital production, digital services, knowledge application, activity, location, communication, digital marketing, knowledge transfer, knowledge combination, actors and knowledge renewal, and 50 concepts. The results showed that digital distribution, digital production, digital services, application of knowledge, activity, location, connecting influential variables, digital marketing and knowledge transfer are two-dimensional variables. Knowledge combination and actors are dependent variables of knowledge renewal and independent variables.