PhD Candidate
BSc (Universität Jena), MSc (LSE), MRes (University of Cambridge)
Biography
Before joining the doctoral programme, Tom worked as an “embedded” researcher trying to bridge the gap between industry and academia. As Knowledge Transfer Associate (October 2015-April 2017), Tom was involved in a research collaboration between the University of Surrey and Surrey County Council to improve local bus planning. He contributed as Research Associate (May 2014-June 2015) to the development of a ward performance measurement scheme at University College London Hospitals. Before that he carried out a small HR project at Concentra Consulting as Research Intern (September-December 2013).
Research interests
Tom’s research interest is in healthcare operations. Exploiting large datasets, he aims at seeking managerial insights using conventional statistical methods. His currently active projects roughly fall into the categories benchmarking, leadership and behavioural biases.
Tom Pape is a member of the Operations & Technology Management subject group.
Publications & papers
Journal articles
Vindrola-Padros, C., Pape, T., Utley, M. and Fulop, N.J. (2017) “The role of embedded research in quality improvement: a narrative review.” BMJ Quality and Safety, 26(1): 70-80 (DOI: 10.1136/bmjqs-2015-004877)
Pape, T. (2017) “Value of agreement in decision analysis: concept, measures and application.” Computers and Operations Research, 80: 82-93 (DOI: 10.1016/j.cor.2016.11.018)
Pape, T. (2016) “Prioritising data items for business analytics: framework and application to human resources.” European Journal of Operational Research, 252(2): 687-698 (DOI: 10.1016/j.ejor.2016.01.052)
Pape, T. (2015) “Heuristics and lower bounds for the simple assembly line balancing problem type 1: overview, computational tests and improvements.” European Journal of Operational Research, 240(1): 32-42 (DOI: 10.1016/j.ejor.2014.06.023)
Working papers
Pape, T., Kavadias, S. and Sommer, S. (2019) “The behavioural knapsack problem: evidence of a fundamental bias in project selection.” Social Science Research Network Working Paper No.3448676 (available online via the SSRN)