Document Type : Research Paper
Author
Associate Professor, Department of Public Administration, Faculty of Accounting Management, Allameh Tabatabaei University, Tehran, Iran.
Abstract
The expansion of the gig economy and the widespread transformations in employment patterns have highlighted the necessity of revisiting traditional human resource management concepts, particularly in assessing employee commitment. In this dynamic context, identifying the dimensions and indicators of gig workers' commitment especially from the employer’s perspective، plays a crucial role in improving the management and retention of this flexible and project-based workforce. The aim of this study is to develop a multidimensional framework for measuring and quantifying gig worker commitment from the employer’s viewpoint, based on objective and data-driven indicators. The research was conducted in two phases. First, through a systematic literature review, relevant indicators for commitment assessment were identified. Then, using the Best-Worst Method (BWM), a multi-criteria decision-making approach, these indicators were weighted and prioritized. The findings of the study revealed five key dimensions, ranked in order of weight, as the most important components for assessing gig workers' commitment from the employer's perspective: stability and reliability of work, performance and work quality, engagement and proactiveness, professionalism and ethical behavior, and work relationship persistence. This framework provides a structured basis for designing targeted performance evaluation systems and developing more effective management policies for organizations operating within the gig economy.
Keywords
- Gig economy
- employee commitment
- best-worst method (BWM)
- multi-dimensional assessment
- measurement framework
Main Subjects
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