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International Journal of Research in Finance and Management
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E-ISSN: 2617-5762|P-ISSN: 2617-5754
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2026, Vol. 9, Issue 1

The relationship between general work flexibility practices and employee organizational commitment levels: A case study of technology startups listed on the Iraq stock exchange using the SPSS model

Huda Hadi Hasan

This research aims to identify and measure the impact of general flexible work practices on organizational commitment levels. The research population consists of employees working in emerging technology companies listed on the Iraq Stock Exchange. Using a quantitative research design, data were collected from 320 employees across 15 technology startups through structured questionnaires. Validity and reliability procedures were applied to these questionnaires. The Statistical Package for the Social Sciences (SPSS 26) was used to analyze the data, including descriptive statistics, correlation analysis, and regression analysis. The results revealed a significant positive relationship between flexible work practices and employee organizational commitment (r = 0.68, p<0.01). Specifically, flexible scheduling, remote work options, and autonomy in task management were identified as the most influential factors on organizational commitment. This research offers practical implications for Iraqi technology startups seeking to enhance employee engagement through flexible work arrangements. The study offered a set of recommendations for managers of emerging technology companies, including the need for comprehensive flexible work policies, prioritizing flexible tasks, training managers to support flexible work arrangements, and considering individual differences, behaviors, and autonomy.
Pages : 01-08 | 185 Views | 85 Downloads


International Journal of Research in Finance and Management
How to cite this article:
Huda Hadi Hasan. The relationship between general work flexibility practices and employee organizational commitment levels: A case study of technology startups listed on the Iraq stock exchange using the SPSS model. Int J Res Finance Manage 2026;9(1):01-08. DOI: 10.33545/26175754.2026.v9.i1a.668
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