جستجوی مقالات مرتبط با کلیدواژه "intelligent management" در نشریات گروه "مدیریت"

Intelligent human resource management is a new approach of combining two key elements namely human resource management and data analysis to improve processes and decisions, which helps organizations to transform their data in an intelligent way. The purpose of this research is to review the intelligent data-oriented human resources management system in open and public universities.

This research was based on the fundamental goal and the meta-analysis method was used. The investigated community included the research conducted on the subject in reliable scientific databases, which identified a total of 33 sources related to the desired characteristics. Open, central and selective coding methods were used to design the model.

The components of the final model included 15 themes, including: intelligent leadership, provision of strategic resources and targeted investment, suitable organizational architecture for training and recruitment and retention systems.

In order to realize intelligent data-driven human resource management, focusing on the identified components and operationalizing them in universities is of great importance.

The purpose of this research was to provide a problem-finding and optimization framework based on information and communication technologies (ICT) in the system of physical education and sports of the armed forces. The research method was the semi-exploratory qualitative type with a thematic analysis approach. The statistical population included scientific and executive experts in the field of sports management and the development of the armed forces. The selected sample included managers and organizational experts (8 people) and university professors (6 people) in the field of sports of the armed forces. The number of samples was estimated based on the theoretical saturation of the components. Sampling was done in a targeted way. The research tool was a semi-structured interview along with its supplementary theoretical study. The validity of the research was assessed and confirmed by using the agreement between the coders (two expert researchers), the focus group approval (the research team with 4 experts), and the content validity of the interview framework (3 experts). The analysis of the findings was done using the method of coding and conceptual framing (matrix and two-way comparative approach). The identified components included 60 status indicators, 47 systemic complications, and 40 optimization solutions. Based on the presented framework, it can be said that problem-solving based on situational analysis and optimization based on information and communication technologies (ICT) is a systematic multi-level and multi-stage framework that ultimately leads to proper performance and outcomes in it becomes general and partial.