Factor structure of managerial competencies, training need assessment and employee productivity of mid-level information technology managers using principal component analysis

Gayatri Panda and Manoj Kumar Dash

International Journal of Business Excellence, 2023, vol. 31, issue 1, 1-31

Abstract: The purpose of this paper is to determine different factors of managerial competencies, TNA and employee productivity. Second, to consider the implications of such competencies and develop a conceptual framework among middle-level managers working in IT sector using PCA. The paper divided the study in two phases. The first phase is identification of competencies from the existing literature and validated scales, and identification of variables of training need assessment and variables of employee productivity. In second phase, through principal component analysis (PCA) technique and correlation analysis, the data was analysed on 412 valid responses collected during the data collection phase using a structured questionnaire. The authors used SPSS 20.0 to perform the analysis and reach to findings of the study. The identified competencies are dynamism and client oriented approach, acceptability towards change, delegation and team building, supportive environment risk management, ICT administration. Therefore, competency-based training technique develop strategies to utilise the competencies of employees for organisational growth and minimisation of wasted efforts for achieving maximum benefit and results.

Keywords: managerial competencies; training need assessment; employee productivity; information technology; sector; PCA; correlation. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbexc:v:31:y:2023:i:1:p:1-31

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