The Covid-19 pandemic has significantly impacted all spheres of life, including the workforce in various domains and industries. While the Covid-19 pandemic is about to drive organizational and societal shifts, it is imperative for organizations and decision-makers to analyze trends towards a changing workforce.
The Research Center for Digital Supply Chain and Operations Management has a unique research theme, Future of Work in the Digital Economy, which aims at developing a job analysis framework. The research seeks to help decision-makers understand which jobs and skill-sets will be impacted by the advent of Covid-19.
Led by Dr. Mohammed Omar, Professor of Industrial and Systems Engineering and Director of Research Center for Digital Supply Chain and Operations Management, the project team involves a graduate student of Engineering Systems and Management, Himanshu Upadhyay, and co-supervised by Dr. Mecit Can Emre Simsekler, Assistant Professor of Industrial and Systems Engineering, Dr. Maher Maalouf, Associate Professor of Industrial and Systems Engineering, and Dr. Siddiq Anwar, Consultant Physician at SEHA and Adjunct Associate Professor at the College of Medicine and Health Sciences. The team uses data analytics, visualization techniques and machine learning algorithms to evaluate the job analysis framework in the healthcare industry. Preliminary results of the research show that the use of emerging technologies, such as artificial intelligence, data analytics and telemedicine, will be trending in healthcare. The findings can guide policy-makers to make organizational shifts towards digital health and match demand with the required skill-set in a proactive manner.
The link for the job analysis framework can be found here.