A Model of Performance Coaching Competency for Supervisors and Managers(Case: NIOc))
Subject Areas :Ali Sotudeh 1 , Parivash Jaafari 2 , Amir hosein Mohammad davoudi 3
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2 - دانشیار گروه مدیریت آموزشی ، واحد علوم و تحقیقات ، دانشگاه آزاد اسلامی ، تهران ، ایران.
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Keywords: Model Coaching Performance Coaching Competency,
Abstract :
The aim of the present research is to put forward a model for Performance Coaching Competency regarding supervisors and managers in NIOC. This research is a heuristic inquiry with a pragmatic purpose wherein we have utilized the qualitative and quantitative data collection and analysis approaches .Data analysis strategy in qualitative inquiry comprises literature content analysis, interview and Delphi survey questionnaires analyses, Moreover, purposive sampling is applied in qualitative research inquiries. The sample size, in literature based upon data saturation and semi-structured interview, were 12 subjects and in Delphi method were 20 subjects of experts, people in charge, and managers familiar with performance coaching in NIOC. The questionnaires face validity was obtained via pilot implementation, the interview reliability via Double-coded Agreement Coefficient .The sample size, in ANP Method were 20 subjects of experts. Key concepts in the literature and semi-structured interviews were primarily extracted and then combined into 16 components on common grounds. Delphi questionnaires in two stages and then ANP questionnaire were made and implemented respectively. The literature data and the interview analyses were done inductively via MAXQDA software, Delphi Questionnaires via SPSS, ANP Questionnaire via MATLAB (for measuring the weight and importance of the dimensions and indicators) and Super Decision (for investigating the relation between dimensions and indicators and their mutual influence). Data analyses resulted in recommending a model for performance coaching which comprises 15 components and 56 indicators in three dimensions, namely: individual, organizational, and managerial; while expressing the ranking among indicators and their internal influence.
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