This website uses cookies to distinguish you from other users. This helps us to provide you with a good user experience and also allows us to improve our website. Privacy & Cookies Policy
Nicos Savva
Professor of Management Science and Operations
MA MPhil 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 ManagementGiá máy bắn cá. 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.
Giá máy bắn cáHe holds a PhD in Management Science, an MPhil in Finance (Financial Engineering) and a BA in Physics, all from the University of Cambridge.
- nsavva@london.edu
- +44 (0)20 7000 8826
2020
A review of the healthcare-management (modeling) literature published in Manufacturing & Service Operations Management
Giá máy bắn cáSavva N; Keskinocak P
Manufacturing & Service Operations Management 2020 Vol 22:1 p 59-62
CRC COVID: Colorectal cancer services during COVID-19 pandemic. Study protocol for service evaluation
Giá máy bắn cáCourtney A; Howell A-M; Daulatzai N; Savva N; Warren O; Mills S; Rasheed S; Milind G; Tekkis N; Gardiner M; Dai T; Safar B; Efron J E; Darzi A; Tekkis P; Kontovounisios C
International Journal of Surgery Protocols 2020 Vol 23 p 15-19
Economies of scale and scope in hospitals: an empirical study of volume spillovers
Freeman M; Savva N; Scholtes S
Management Science 2020 Online first
Proactive customer service: operational benefits and economic frictions
Giá máy bắn cáDelana K; Savva N; Tezcan T
Manufacturing & Service Operations Management 2020 Online first
2019
6 trends to look out for in 2019
Giá máy bắn cáErickson T; Cable D; Birkinshaw J; Savva N; Yueh L; Jolly R
London Business School Review 2019 January
Can yardstick competition reduce waiting times?
Savva N; Tezcan T; Yildiz O
Giá máy bắn cáManagement Science 2019 Vol 65:7 p 3196-3215
2018
Crowdsourcing exploration
Giá máy bắn cáPapanastasiou Y; Bimikis K; Savva N
Management Science 2018 Vol 64:4 p 1727-1746
Making big data deliver
Giá máy bắn cáSavva N; Straub G
London Business School Review 2018 Vol 29:1 p 40-43
2017
Algorithmic ethics : lessons and limitations for leaders
Savva N
London Business School Review 2017
Gatekeepers at work: an empirical analysis of a maternity unit
Giá máy bắn cáFreeman M; Savva N; Scholtes S
Management Science 2017 Vol 63:10 p 3147-3167
2016
Dynamic pricing in the presence of social learning and strategic consumers
Giá máy bắn cáPapanastasiou Y; Savva N
Giá máy bắn cáManagement 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
2015
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
Giá máy bắn cáBakshi N; Kim SH; Savva N
Management Science 2015 Vol 61:8 p 1812-1829
2014
Opt-out options in new product co-development partnerships
Giá máy bắn cáSavva N; Scholtes S
Production and Operations Management 2014 Vol 23:8 p 1370-1386
2013
"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
2012
Codeines and coding
Giá máy bắn cáPowell 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
Giá máy bắn cáManufacturing & Service Operations Management 2012 Vol 14:4 p 512-528
2009
Investment under uncertainty with price ceilings in oligopolies
Roques F A; Savva N
Giá máy bắn cáJournal of Economic Dynamics and Control 2009 Vol 33:2 p 507-524
2008
The economics of licensing contracts
Mason R ; Savva N ; Scholtes S
Giá máy bắn cáNature Biotechnology 2008 Vol 26:8
2018
Unintended consequences of hospital regulation: the case of the hospital readmissions reduction program
Chen C; Savva N
Giá máy bắn cáSocial Sciences Research Network
2017
Proactive customer service: operational and economic analysis
Delana K ; Savva N; Tezcan T
Working Paper
2015
Scarcity strategies under quasi-Bayesian social learning
Giá máy bắn cáSavva N; Papanastasiou Y; Bakshi N
Working Paper
Teaching portfolio
Our teaching offering is updated annually. Faculty and programme material are subject to change.
-
Masters Degrees core courses
Giá máy bắn cá A key part of our Masters programmes curriculum.
View courses Show lessShow less-
Data Science for Business I
Data Science for Business I -
Decision Models
Decision Models PROGRAMMES WITH THIS CORE COURSE
-
Perspectives on Business Ethics
Learn how to ensure that a business acts ethically, and with integrity and professionalism, by adhering to standards and creating your own. PROGRAMMES WITH THIS CORE COURSE
-
Using Data-Science Responsibly
Using Data-Science Responsibly PROGRAMMES WITH THIS CORE COURSE
-
Data Science for Business I
-
Masters Degrees electives
Giá máy bắn cá Optional courses providing a deep dive into specialist areas.
View electives Show lessShow less-
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
-
Advanced Business Analytics
-
Show less
-
Statistical Research Methods I
Statistical Research Methods I
-
Statistical Research Methods I
-
Show less
Executive Education
Short programmes offering academic excellence, global focus and exceptional diversity of perspective.
View programmes Show less