Designing a Model of Human Resource Mentoring System Based on a Mixed Approach, With the Aim of Increasing Productivity
Subject Areas : Business Strategy
Somayeh
Sabet
1
(Department of Public Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran)
Mehrdad
Goodarzvand Chegini
2
(Department of Public Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran)
Hamidreza
Rezaei Klidbari
3
(Department of Public Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran)
Morad
Rezaei Dizgah
4
(Department of Public Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran)
Keywords: Mentoring, Human Resources Mentoring System, Ministry of Interior, increasing productivity, Mixed approach,
Abstract :
In recent decades, mentoring has been hailed as an important human resource management strategy, a career tool, and a learning activity in the workplace, and has played an important role in enhancing the positive outcomes of a high-performance work system. Therefore, the purpose of this study is to provide a model of mentoring system in the Ministry of Interior based on a mixed approach. First, based on the data theory of the foundation, 12 experts were interviewed. Sampling was done purposefully with a network of experts and continued until the theoretical saturation was reached. According to the research model, causal, pivotal, contextual, interventionist, strategic and consequences variables were identified. The results showed that mentoring will have consequences such as increasing knowledge sharing, organizational performance excellence, productivity, job satisfaction, psychological well-being, client satisfaction, increasing public trust in the organization, increasing trust in government and improving political understanding. For quantitative validation of the model and study of component relationships, the structural equation modeling approach was used using the partial least squares method using smart-PLS software. The statistical sample of this department was 237 managers and experts of the Ministry of Interior. The results of the quantitative step showed that the relationships in the model with appropriate impact coefficients were confirmed.
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