6th Industrial Engineering and Operations Management Bangladesh Conference

The Impact of the Fourth Industrial Revolution and Machine Learning on Employee Skill Sets for Sustainable Survival in the Retail Industry

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Track: Artificial Intelligence
Abstract

This study explores how employee skill sets in the retail industry are affected by the Fourth Industrial Revolution (4IR). Traditional retail has a strong need to change as technology rapidly alters consumer expectations. The study examines how workers develop new skill sets to remain competitive in the rapidly evolving 4IR market. Workers need to reevaluate and expand their skill sets because of the rapid changes in the Fourth Industrial Transition. The research dilemma highlights this. Workers are being forced to constantly broaden their skill sets due to the quick obsolescence of specific skill sets brought about by integrating technology, especially artificial intelligence. The primary study question focuses on how retail employees ensure their skill sets are still relevant in the face of the Fourth Industrial Revolution's disruptions. The study aims to identify the tactics retail employees use to get ready for how 4IR affect their skill needs. It’s significantly contributes to the area by offering insightful information about staff competencies in a retail setting. Feedback from participants provides insight into the strategies and training used to enhance skill sets and overcome 4IR's obstacles. The study expands on earlier research to better understand how 4IR influences retail employee skill sets. The investigation is expected to highlight the degree to which workers need to improve their abilities, acting as a resource for those looking to grow in the 4IR age. Despite acknowledging its limitations—namely, the limited sample size to Liberty Midlands Mall and the effect of the COVID-19 epidemic on interview techniques—the study nevertheless offers essential information.

Published in: 6th Industrial Engineering and Operations Management Bangladesh Conference, Dhaka, Bangladesh

Publisher: IEOM Society International
Date of Conference: December 26-28, 2023

ISBN: 979-8-3507-1733-4
ISSN/E-ISSN: 2169-8767