Development and validation of predictors of human resource outsourcing in Iran's agricultural sector: Meta-Synthesis Approach

The aim of this research was to identify the predictors of human resource outsourcing in Iran's agricultural sector using a Meta-Synthesis Approach. The research method is developmental and mixed research (qualitative-quantitative) and based on the method of data collection, documentation and correlation.The research population in the first stage included all the research in the field of outsourcing from 2000 to 2020, and in the second stage, there were 750 managers and experts of the Agricultural Research and Training Organization. The sample size was obtained by simple random sampling method and according to Cochran's formula. The data collection tool was a researcher-made questionnaire, whose reliability was 0/93 through Cronbach's alpha Was obtained. After refining the articles, finally, 44 scientific articles that directly addressed the issue of human resources outsourcing entered the analysis stage in MAXQDA software. After the integration stage, 44 distinct codes were identified and among the identified codes, cost reduction strategy codes with 8 references, formulation of supplier selection criteria with 6 references, creation of internal organizational capacity with 4 references, organizational culture with 4 references, monitoring, evaluation suppliers with 4 references, knowledge management with 3 references, reforming the employment system, training and improving human resources with 3 references, re-engineering human resources processes with an emphasis on improving quality with 3 references, improving productivity with 3 references, networking (collaboration external organizations) with 3 references, upstream policies and documents with 2 references and senior management support with 1 reference respectively had the highest number of references in research texts.