List of Articles علی رضائیان

• Open Access Article
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  1 - Identifying Talent Development Mechanisms in Iranian Electric Industry
    Khodayar Abili  
  The current study aimed to identify talent development mechanisms in Iranian electric industry applying a mixed method approach. In qualitative phase, statistical population included academic informants and electric industry’s human resource managers and talents from wh More

  The current study aimed to identify talent development mechanisms in Iranian electric industry applying a mixed method approach. In qualitative phase, statistical population included academic informants and electric industry’s human resource managers and talents from whom 19 people were purposefully selected and profoundly interviewed. The collected qualitative data were analyzed using thematic analysis technique and its validity was confirmed applying member checking, data source triangulation and peer debriefing techniques. In quantitative phase, statistical population consisted of 279 talents from which 134 people were selected randomly as a sample using levy and lemeshaw (1981) formula. Data was collected applying researched- administered questionnaire which contain 56 questions. Structural equation modeling with partial least squares (PLS) approach was used to analyses the collected data. So, in order to do second order confirmatory factor analysis, Smart-PLS3 was utilized. Finally, findings obtained from thematic analysis showed that the main talent development mechanisms in Iranian electric industry were categorized into Internal/external organizational sessions, vertical career path, horizontal career path, self- development, coaching, succession planning, training, performance management, job design techniques, team working, learning by doing, knowledge sharing, and networking. Results of one sample t- test indicated that all identified mechanisms were evaluated adequately by electric industry’s talents. Furthermore, confirmatory factor analysis’ results showed that all observable and latent variables’ factor loading were above 0.70 and were confirmed at 0.01 levels. In other words, the 13 mechanisms identified in qualitative phase can be considered as the fundamental factors of talent development and it can be predicted applying them Manuscript profile
• Open Access Article
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  • Full-Text
  
  2 - Identifying Talent Development Mechanisms in Iranian Electric Industry
    Khodayar Abili   Aryan gholipour
  The current study aimed to identify talent development mechanisms in Iranian electric industry applying a mixed method approach. In qualitative phase, statistical population included academic informants and electric industry’s human resource managers and talents from wh More

  The current study aimed to identify talent development mechanisms in Iranian electric industry applying a mixed method approach. In qualitative phase, statistical population included academic informants and electric industry’s human resource managers and talents from whom 19 people were purposefully selected and profoundly interviewed. The collected qualitative data were analyzed using thematic analysis technique and its validity was confirmed applying member checking, data source triangulation and peer debriefing techniques. In quantitative phase, statistical population consisted of 279 talents from which 134 people were selected randomly as a sample using levy and lemeshaw (1981) formula. Data was collected applying researched- administered questionnaire which contain 56 questions. Structural equation modeling with partial least squares (PLS) approach was used to analyses the collected data. So, in order to do second order confirmatory factor analysis, Smart-PLS3 was utilized. Finally, findings obtained from thematic analysis showed that the main talent development mechanisms in Iranian electric industry were categorized into Internal/external organizational sessions, vertical career path, horizontal career path, self- development, coaching, succession planning, training, performance management, job design techniques, team working, learning by doing, knowledge sharing, and networking. Results of one sample t- test indicated that all identified mechanisms were evaluated adequately by electric industry’s talents. Furthermore, confirmatory factor analysis’ results showed that all observable and latent variables’ factor loading were above 0.70 and were confirmed at 0.01 levels. In other words, the 13 mechanisms identified in qualitative phase can be considered as the fundamental factors of talent development and it can be predicted applying them Manuscript profile
• Open Access Article
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  3 - Studying the Barriers of Innovation in Organizational Training: the usage of content analysis in training sector of national Iranian oil company
         
  The current paper concentrated on the importance and necessity of innovation in today's organizations. Due to the important role and effect of training in organizational performance and prosperity, innovation in company training has been investigated. The core problem i More

  The current paper concentrated on the importance and necessity of innovation in today's organizations. Due to the important role and effect of training in organizational performance and prosperity, innovation in company training has been investigated. The core problem is the exploration of the innovation barriers in organizational training. In this study the qualitative research method and content analysis have been used. The main question is that, what are the factors on organizational innovation in the training sector of national Iranian oil company (NIOC)? To find these factors, innovation barriers in the training sector, we applied interview due to considering the organizational context. The interviewees were the training experts in the companywide. The finding has shown that 7 factors are the most important barriers on organizational innovation in NIOC training sector which should remove them to have innovative training. Manuscript profile