Document Type : Descriptive
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Abstract
The present study was conducted with the aim of designing a digital transformation leadership model for human resource managers: a solution for increasing economic productivity in government organizations. The research method is applied in terms of purpose, qualitative in terms of data, and systematic (paradigmatic) in terms of the nature of the data. The statistical population of the qualitative section includes professors and experts in the fields of management and strategic and economic planning and human resource management who have a doctorate degree. The sampling method in the qualitative section was purposeful and theoretical, and 15 experts were selected, which reached theoretical saturation. In the qualitative section, the sample size was 15 people based on the Morgan volume determination formula. In the present study, the data-based coding method based on the approach of Strauss and Corbinpas (1990) was used. The open and axial coding of the measurement tool was prepared in the form of a form and sent to experts for selective coding and validation. MAXQDA 2020 software was used for data analysis. At the end of 5 dimensions, 24 components and 102 indicators were finalized for the aforementioned model. After final approval and prioritization by the experts, the dimensions, components, and indicators that make up the model were drawn, and the aforementioned model was validated again by the experts.
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