Designing a model of Human Resource Competency with a Strategic Foresight approach in the Customs of the Islamic Republic of Iran

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Today, the importance of the role of human capital as a vital and privileged factor for the survival and success of organizations has been increasingly considered.Organizations should be familiar with the techniques of this action in order to identify and attract capable HR.Competency identification is the common language for describing the needs of each job, and the competency model is an appropriate tool for identifying competencies.The purpose of this study is to present a model of HR competencies for customs organization in Futuristic approach. Identifying the factors Effective the Customs by studying processes by environmental scanning method (PESTEL technique) and identification of drivers is done by analyzing the data in Micmac software. Then, the future Customs scenarios was adjusted (CBI) and analyzed by data in Wizard scenario.To identify indicators of HR competency, while using the scenarios of Customs, the interview method was used and a questionnaire was used to assess the model. Data were analyzed using structural equation modeling and statistical tests in SPSS and PLS software. Identifying environmental factors affecting the organization, identifying drivers, uncertainties, and Customs future scenarios can improve long-term forecasting. Results show; Value, knowledge and skills have been identified as effective dimensions of the competency model and core values,professional, operational and managerial competencies have been identified as model areas (levels). Develop competency model with a futuristic approach as a practical solution can help customs managers define the skills and knowledge needed for jobs, evaluate and improve employee performance, align the talent management process with organizational strategy.

Language:
Persian
Published:
Journal of Human Capital Empowerment, Volume:5 Issue: 2, 2022
Pages:
123 to 141
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