Foresight in Human Resource Management in Knowledge-Based Companies
Abstract
The present study was conducted with the aim of foresight in human resource management in knowledge-based companies. This research falls under the category of mixed-method studies (qualitative and quantitative). The qualitative strategy employed was thematic analysis, and the quantitative strategy was a survey approach. The qualitative sample consisted of 14 experts and managers from knowledge-based companies, selected through purposive and snowball sampling methods. In-depth interviews were conducted with these participants. MAXQDA software (2018) was used to analyze the data. Based on the interviews, components were extracted, and through the coding process and subsequent tests, the final model of the study was developed. Findings from the qualitative section indicated that the dimensions for designing a human resource management model in knowledge-based companies include the individual approach, organizational characteristics, environmental conditions, and technology. In the quantitative section, the statistical population consisted of all employees, deputies, and managers of knowledge-based companies, and 384 questionnaires were distributed and collected using convenience sampling. To analyze the research questions, Structural Equation Modeling (SEM) was performed using SmartPLS 3 software. The results of model evaluation showed that all research hypotheses had a significance level of less than 0.05; therefore, all hypotheses were confirmed and accepted with 95% confidence.
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Copyright (c) 2025 Yasaman Ghasemi, Farshad Hajalian, Majid Jahangirfard (Author)
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