Use this URL to cite or link to this record in EThOS:
Title: Team and task dynamics in healthcare and professional service operations
Author: Avgerinos, E.
ISNI:       0000 0004 7964 764X
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2016
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
This thesis examines how team, task and workforce dynamics affect performance on healthcare and professional service operations. I use operations management and organizational domains to develop theories and employ econometric models to better understand knowledge intensive environments. In the first chapter I use data from Coronary Artery Bypass Graft operations in order to examine the way exposure to related variety can affect individual learning. Specifically, I introduce timing as a new dimension on the effect of related variety on individual productivity on a focal task and show that exposure to variety can have differentiated effects on individual productivity based on different mechanisms. My findings suggest that concurrent exposure with the focal task has a positive effect whereas non-concurrent one has a negative effect on individual focal productivity. I also introduce recent concurrent and non-concurrent exposures as moderating factors on the effect of long-term concurrent and nonconcurrent exposures respectively on individual learning. In the second chapter I focus on cardiac surgery teams and examine the effect of team allocation on their productivity. Specifically, I introduce new familiarity related concepts and ways on how past common experiences among team members can affect team productivity. Next, I divide average team familiarity into two components: One gained from complex and one gained from simpler tasks and show their differentiated effects on team productivity. I also investigate the way average team familiarity interacts with task complexity. In the final chapter, I use a dataset from England's National Health Service (NHS)'s 111 non-emergency helpline in order to investigate the effect of non-clinical labor mix on efficiency and quality of patient service. My results indicate that while non-clinical workforce increases the efficiency of patient service, it may lead to new inefficiencies through misuse of critical resources and may reduce the quality outcome of the patient service.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available