Presenting a Model of the Effect of Electronic Human Resource Management on Teachers' Research Productivity: Case Study of Education in Mazandaran Province

Today, research and scientific activities are the main context for the development of societies. In fact, research productivity can lead to the flourishing of scientific production and growth. Teachers, as the main provider of education to students, also need research activities to improve their educational quality, which lies in research productivity. Therefore, one of the main necessities of the education system is to address the basic issue of teacher research productivity. Teachers' research activities can play an important role in teaching and its quality. On the other hand, electronic human resource management provides a basis for teachers to rely on electronic research to get acquainted with up-to-date research and apply it in their research activities. Therefore, the use of electronic human resource management in research productivity is one of the axes to improve the quality of teaching and research productivity of teachers. The aim of this study was to present a model of the effect of electronic human resource management on research productivity of education teachers in Mazandaran province.

The method of the present study was integrated in terms of implementation method (qualitative-quantitative) and applied in terms of purpose. The research population in the qualitative section included Mazandaran University experts in the academic year 2019-20, in which 15 people were selected based on theoretical saturation and purposefully. The statistical population of the quantitative section also included teachers of education and training in Mazandaran province in the academic year 2019-20 (2287 people). The sample size was determined using Cochran's formula of 380 people who were selected by simple sampling method. The research tool was a researcher-made questionnaire in the qualitative part of semi-structured interviews and a researcher-made questionnaire in the quantitative part. The validity of the qualitative findings with the view of experts and the review strategy and reliability by the coding agreement coefficient method was 0.83. In the quantitative part, it was 0.91 with content validity and reliability with Cronbach's alpha method. To analyze the data in the qualitative part, the coding method was used with Maxquda18 software and in the quantitative part; exploratory factor analysis and structural equation modeling in Pls Smart3 software were used.

Qualitative findings showed that the selected code of electronic human resource management has 33 indicators in 5 central themes including (technological, structural, cultural, strategic and process) and the selected code of research productivity also has 36 indicators in 5 central themes including (individual, organizational, Economic, technical-operational and social). Also, the results of exploratory factor analysis showed that all factor loads of the structures were above 0.40. The results of structural equations also showed that electronic human resource management had a positive effect on research productivity (P <0.05).

According to the results of the present study, the planners of the education system should provide their research productivity by empowering teachers in the field of electronic human resources.