Presenting a Data-Driven Exploratory Model of Employees' Behavioral Competence with the Approach of Information and Knowledge of the Work Environment

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
The purpose is to provide an exploratory data-driven model of employees' behavioral competence with the approach of information and knowledge of the work environment. This research is applied and exploratory, which was conducted qualitatively and quantitatively (mixed) using the methods of data foundation theory and exploratory factor analysis. The research tool (data collection) was a semi-structured interview. Using the grounded theory method, the data obtained from the interviews conducted with 14 employees of the Iraqi Ministry of Islamic Guidance (Baghdad, Diyala, Karbala) were analyzed during three stages of open, central and selective coding. 19 general categories in the form of a paradigm model that these factors include causal conditions (analysis of the environment; management challenge; analysis of employees' behavioral competence), central phenomenon (behavioral competence of employees), underlying conditions (analysis of organizational culture; application of law and policy), intervening conditions (determining Competencies; dimensions of leadership competence; the process of building the behavioral competency model of employees) and strategies (interpersonal skills; communication skills; determining behavioral criteria; evaluation and development of the model; implementation and monitoring) and outcomes (intra-organizational success) ; key competencies; external success). In the quantitative part, the data obtained from the exploratory factor analysis questionnaire were analyzed with the help of spss26 statistical software. The factor loadings of all the items of the standard model are higher than 0.3 and the significance coefficients of the model are all higher than 1.96.
Language:
English
Published:
International Journal of Knowledge Processing Studies, Volume:4 Issue: 4, Autumn 2024
Pages:
104 to 119
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