Published on: April 2026
DYNAMICS OF CAREER ADVANCEMENT AND EMPLOYEE RETENTION IN THE RESTAURANT INDUSTRY: A PREDICTIVE AND STRUCTURAL FRAMEWORK|
Asim Dastgir Shaikh
Dr. Nisha Wagh
Article Status
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Abstract
The restaurant industry has historically struggled with precarious labor conditions and exceptionally high turnover rates, challenges that have only intensified in recent years. The onset of the COVID-19 pandemic acted as a massive external shock, permanently altering consumer behavior and severely disrupting hospitality employment globally. As the industry attempts to recover, operators are increasingly recognizing that sustainable business models require a stabilized, highly motivated workforce. To address this crisis, this paper proposes a novel framework that integrates predictive turnover modeling with the structured design of career advancement ladders. By drawing parallels from other academic and industrial sectors regarding workforce retention, systemic biases, and the psychological impact of shared operational hardships, we provide a comprehensive approach to mitigating voluntary employee resignation. Ultimately, this research demonstrates that replacing informal promotion practices with transparent, data-driven career opportunities is essential for fostering long-term loyalty and professional mobility in the hospitality sector.
How to Cite this Paper
Shaikh, A. D. (2026). Dynamics of Career Advancement and Employee Retention in the Restaurant Industry: A Predictive and Structural Framework|. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.482
Shaikh, Asim. "Dynamics of Career Advancement and Employee Retention in the Restaurant Industry: A Predictive and Structural Framework|." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.482.
Shaikh, Asim. "Dynamics of Career Advancement and Employee Retention in the Restaurant Industry: A Predictive and Structural Framework|." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.482.
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- •Published on: Apr 18 2026
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