Analysis and Modeling of Absenteeism Management in Iran Revenue Tax Agency Using Mixed Method

Abstract

Unscheduled employee absence from workplace is defined as absenteeism. Absenteeism management is considered as designing, planning, and controlling employee’s activities to increase welfare of employees and to reduce work absence. The goal of this paper is to develop a model for the absenteeism management using mixed method. In this study, the management of employee’s absenteeism is analyzed qualitatively and quantitatively using Grounded Theory (GT), Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The qualitative part is conducted using 18 in-depth and semi-structured interviews with organizational experts and employees who have done frequent absence in Iran Revenue Tax Agency (IRTA). Non-probability method and dependent heterogeneous method are used for collecting data. The collected data from qualitative part is analyzed using MAXQDA12 software. In the quantitative part, using random sampling method, 302 questionnaires are collected. The data analyzed by EFA and CFA methods using Spss26 and Amos software, respectively. The model of employee’s absenteeism management categorized in five sections of GT method. Casual factors, main phenomena, interfering factors and recognized contextual factors for absenteeism are presented using the proposed model. Finally, the strategies for managers to reduce absenteeism from work and its consequences are presented.