Nicos Savva

Professor of Management Science and Operations

PhD (Cambridge)

Professor Savva’s current research focuses on hospital operations and healthcare management. His research has appeared in leading journals such as Management Science, M&SOM, Production & Operations Management, and Nature Biotechnology. He is an Associate Editor of Management Science, M&SOM and senior editor of Production & Operations Management. He holds an honorary appointment at Guy’s and St Thomas’ NHS Foundation trust, a large hospital system based in London, and has acted as a consultant to hospitals, biotech companies, high-tech start-ups, retail firms and a hedge fund. He has also taught at The Wharton School, Columbia GSB, and at Judge Business School, University of Cambridge.

He holds a PhD in Management Science, an MPhil in Finance (Financial Engineering) and a BA in Physics, all from the University of Cambridge.


6 trends to look out for in 2019

Erickson T; Cable D; Birkinshaw J; Savva N; Yueh L; Jolly R

London Business School Review 2019 January

A review of the healthcare-management (modeling) literature published in Manufacturing & Service Operations Management

Savva N; Keskinocak P

Manufacturing & Service Operations Management 2019 Vol 22:1 p 59-62

Can yardstick competition reduce waiting times?

Savva N; Tezcan T; Yildiz O

Management Science 2019 Vol 65:7 p 3196-3215


Crowdsourcing exploration

Papanastasiou Y; Bimikis K; Savva N

Management Science 2018 Vol 64:4 p 1727-1746

Making big data deliver

Savva N; Straub G

London Business School Review 2018 Vol 29:1 p 40-43


Algorithmic ethics : lessons and limitations for leaders

Savva N

London Business School Review 2017

Counting the cost of UK maternity wards

Savva N

London Business School Review 2017

Gatekeepers at work: an empirical analysis of a maternity unit

Freeman M; Savva N; Scholtes S

Management Science 2017 Vol 63:10 p 3147-3167


Dynamic pricing in the presence of social learning and strategic consumers

Papanastasiou Y; Savva N

Management Science 2016 Vol 63:4 p 919-939

Investing in market efficiencies, raising the prospects of India's farmers

Ramdas K; Savva N

London Business School Review 2016

Is IT enough? Evidence from a natural experiment in India’s agriculture markets

Savva N; Parker C; Ramdas K

Management Science 2016 Vol 62:9 p 2481-2503

Maximising care

Savva N

London Business School Review 2016 Winter Vol 26:4 p 8-9


Role of equity, royalty and fixed fees in technology licensing to university spin-offs

Savva N; Taneri N

Management Science 2015 Vol 61:6 p 1323-1343

Signaling new product reliability with after-sales service contracts

Bakshi N; Kim SH; Savva N

Management Science 2015 Vol 61:8 p 1812-1829


Opt-out options in new product co-development partnerships

Savva N; Scholtes S

Production and Operations Management 2014 Vol 23:8 p 1370-1386


"Nursevendor problem": Personnel staffing in the presence of endogenous absenteeism

Green L V; Savin S; Savva N

Management Science 2013 Vol 59:10 p 2237-2256


Codeines and coding

Powell A; Savin S; Savva N

Business Strategy Review 2012 Vol 23:1 p 82-82

Physician workload and hospital reimbursement: Overworked physicians generate less revenue per patient

Powell A; Savin S; Savva N

Manufacturing & Service Operations Management 2012 Vol 14:4 p 512-528


Healthcare: A patient in search of cure

Savva N

Business Strategy Review 2011


Investment under uncertainty with price ceilings in oligopolies

Roques F A; Savva N

Journal of Economic Dynamics and Control 2009 Vol 33:2 p 507-524


The economics of licensing contracts

Mason R ; Savva N ; Scholtes S

Nature Biotechnology 2008 Vol 26:8


Proactive customer service: operational and economic analysis

Delana K ; Savva N; Tezcan T

Working Paper


Scarcity strategies under quasi-Bayesian social learning

Savva N; Papanastasiou Y; Bakshi N

Working Paper

Teaching portfolio

Our teaching offering is updated annually. Faculty and programme material are subject to change.


Core courses

  • Data Science for Business I
  • Decision Models (LBS)
  • Managing Responsibly: Ethics in Work, Organizations and Society
  • Using Data-Science Responsibly
  • Electives

    • Advanced Business Analytics
      The primary objective of this course is to enhance the participants’ ability to use analytics to develop insights in a wide range of business situations. We will work on five in-depth real-world case studies developed by the instructor. For each case, we will start with breaking down what seems to be a complex and ill-structured problem to simpler subproblems that are amenable to analysis. Through a mixture of lectures and workshops, we will use data analysis (visualization, regression) and modelling techniques (Monte-Carlo simulation, decision-tree analysis, optimization) to build progressively more sophisticated models that allow us to evaluate possible alternatives, make sensible recommendations, and serve as the basis for communicating findings and influencing decisions. After each session, participants will have the opportunity to further refine the models developed in class and prepare a presentation for the management of the company featured in the case study.
      Programmes with this elective
    • Data Mining for Business Intelligence
      This course covers the emerging field of business analytics (BA) or data mining and expands and develops the students' analytical tool kit in analyzing massive data sets. Using case studies and hands-on data sets, students will learn advanced data query techniques, data cleaning and organization, explore various machine learning techniques including supervised and unsupervised classification schemes, text classification, clustering techniques as well as predictive analytics. Students will gain hands-on experience with a variety of software tools, including Tableau and XLMiner.
      Programmes with this elective
    • Managing Healthcare
      With increased demand and pressure to reduce costs, healthcare delivery systems across the globe are under pressure to find ways to increase quality and widen access, while simultaneously reducing cost. The aim of the course is to explore the challenges these competing goals create and to throw light on how they can be best managed. In so doing the course seeks to identify opportunities in health care for managers, entrepreneurs and policy makers. This course draws substantially from the research and consulting expertise of the team of instructors teaching it.
      Programmes with this elective
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