Designing a Performance Evaluation Model for Mobile Telecommunication Company of Iran with a Knowledge-Based Organization Approach

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Mobile Telecommunication Company of Iran(Hamrah e Aval) due to the nature of the communication services industry in the country, has high dynamism and change in its field of activity. To control and adapt to these changes, the company needs a new model to evaluate its performance. Accordingly,The present Study is a qualitative research on performance appraisal with the approach of knowledge-based organization and by passing the existing performance appraisal models with a traditional and short-term perspective to cover the challenges of this field with a comprehensive, transparent and simple model, so that it is realistic and related to the sensitive and key areas of the company's performance as a knowledge-based organization. First, in order to collect data, after reviewing the literature and research background, the framework and protocol of semi-structured interviews were prepared and compiled, and then among scientific and executive experts active in the field of communication services by purposeful sampling method "Snowball", participants were selected. Data analysis was coded by Clark and Brown six-step inductive theme analysis. Data analysis in the coding process by MAXQDA software led to the emergence of 104open source, 31sub-themes and 7 main themes including management and human resource components, organizational, process, market and competitive environment, technical and executive business environment, knowledge-based platform and The results were in three areas: organizational, customer and regulatory. Due to the special characteristics of organizations active in the communication services industry and their emphasis on knowledge and information technology in order to achieve organizational perfection, the results of this study can be used by other knowledge-based companies.
Language:
Persian
Published:
Scientific Journal of Organizational Knowledge Management, Volume:4 Issue: 12, 2021
Pages:
155 to 195
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