Well-being in (post)Covid Times
DR. JAN de LEEDE
ASSISTANT PROFESSOR, UNIVERSITY OF TWENTE.
The findings of the Well-being research of the University of Twente 2021 will be shared. In 2021, three waves of surveys (in April, July and November) were distributed among all UT employees. The main outcome is that academic staff both are highly engaged as well as strained. Strain is illustrated by perceptions of workload, actual hours worked and role overload. Explanations are found in the job demands-job resources model (Bakker & Demerouti, 2007). Furthermore, some results are shared about the perceptions of hybrid working practices. Finally, some findings on inappropriate behaviours are reported. For all findings, special attention will be paid for the BMS results.
Jan is assistant professor of Human Resource Management at the Faculty Behavioural Management and Social Sciences, University of Twente (The Netherlands) . Next to this position, he is partner of ModernWorkx, a research and consultancy firm focused on working times, capacity management and well-being. Before starting his own business, he was employed as senior researcher/consultant at TNO Work and Employment. His teaching involves HR Analytics, team-based work and HR & Innovation. His research is focused on flexible labour, working times, new ways of working and (virtual) team-based work. He published in journals like Ergonomics, Human Resource Management Journal, International Journal of HRM, Personnel Review, Creativity and Innovation Management. He (co-)authored several books on Self-scheduling, Capacity Management, Self-managing teams, New Ways of Working and Labour Flexibility
The Fine Line Between Life and Death: Strategic Location of Automated External Defibrillators
DR. DERYA DEMIRTAS
ASSISTANT PROFESSOR, UNIVERSITY OF TWENTE.
In an emergency or disaster, rapid response may be the difference between life and death. Accordingly, strategic resources/facilities are proactively deployed for emergency preparedness. While citizens increasingly participate in response and recovery in crisis situations, little attention has been given to incorporating volunteer engagement in placing emergency facilities. The uncertainties in supply (e.g., volunteers) and in demand (e.g., emergencies) make emergency facility deployment decisions extremely challenging. This talk focuses on optimizing the location of facilities under demand and supply uncertainty. In the first part of the talk, I will present optimization models applied to an important public health problem: strategic location of automated external defibrillators (AEDs) to be used by volunteers in case of an out-of-hospital cardiac arrest (OHCA). In the second part of the talk, I will talk about the broader vision on emergency response and introduce a comprehensive datadriven modeling framework for emergency facility deployment, leveraging optimization, metaheuristics, and data science.
Derya Demirtas is an assistant professor at the Center for Healthcare Operations Improvement & Research (CHOIR) in the Section of IEBIS since 2016. Her research focuses on operations research, optimization, data analytics, location theory and their applications to healthcare and emergency response. Dr. Demirtas is a recipient of the NWO Veni grant (2019), and American Heart Association (AHA) Young Investigator Award (2015). She received the Best Poster Award by the National Association of EMS Physicians (2016) and won the second place in the INFORMS Section on Public Sector Operations Research best paper competition (2012) and second place in the INFORMS Case Competition (2020). Her research has been published in journals such as Management Science, European Journal of Operational Research, Journal of the American College of Cardiology (IF: 24), and Health Care Management Science. She serves in several academic committees including NWO Advisory Roundtable (Economics & Business Administration), the editorial board of the Operations Research For Health Care journal, the board of INFORMS Forum for Women in OR/MS and the Exam Board BMS-Management Sciences.