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Online DEA & SFA course – 3 days – November 2021

Online Courses on:

Performance Measurement Using Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)

Details: https://dataenvelopment.com/course/

DATA ENVELOPMENT ANALYSIS COURSE:
25-27 November 2021

STOCHASTIC FRONTIER ANALYSIS COURSE:
29
November to 1st December 2021

For registration and further details please visit: https://dataenvelopment.com/course/

7th LEER Conference on Education Economics November 19, 2021

This workshop aims to bring together scholars who focus their research on experiments in education economics. From a methodological point of view, we welcome papers that use experimental evidence (based on randomized lab or field experiments). From an empirical point of view, we especially welcome papers using experiments that focus on teaching practices aimed to address student diversity in the classroom in fields with significant heterogeneity (e.g. financial education).Call for Papers
Authors/Speakers are expected to send a minimum 200-300 word abstract to ann.vanespen@kuleuven.be by October 1, 2021 at the latest.

Authors will be notified on acceptance by October 7, 2021.

For details CLICK HERE

Prof. Dr. Kristof De Witte
Naamsestraat 69 – 3000 Leuven
+32 (0)16 32 66 56
kristof.dewitte@kuleuven.be
ALL INFO: www.feb.kuleuven.be/LEER

SENIOR TEACHING FELLOW IN BUSINESS ANALYTICS

Surrey Business School

Location: Guildford
Salary: £51,034 to £60,905
Post Type: Full Time
Advert Placed: Tuesday 17 August 2021
Closing Date: Tuesday 14 September 2021
Interview Date: Friday 15 October 2021
Reference: 025321-R4
Apply Online: https://jobs.surrey.ac.uk/vacancy.aspx?ref=025321-R4

The University of Surrey is a global university with a world-class research profile and an enterprising and forward-thinking spirit committed to research and innovation excellence and to benefitting the economy, society and the environment. Our researchers practise their excellence against the backdrop of our broad spectrum of technological, human, health and social sciences, and their uncommonly strong linkages forged in an integrated campus culture of cooperation.

The Department of Business Transformation at Surrey Business School is seeking applications for a Business Analytics Senior Teaching Fellow position. This is part of an ambitious effort to develop a world-class group of scholars who will make significant contributions to the various facets of management teaching on business analytics especially in supply chains. Our department is deeply engaged with local and international businesses which provide opportunity for meaningful interaction ensuring relevant teaching. You will contribute to increasing the visibility of the University by leading our analytics teaching through developing capacity in this strategic area for the School and University. Our department actively collaborates with researchers across the University such as computer science, engineering, data science and digital health.  

The successful candidate will be expected to demonstrate world-leading pedagogical research with outputs that are consistently recognised as internationally excellent in the field. Clear evidence of a commitment to collaboration with academic and non-academic partners will be essential as will be evidence of excellence in the development and delivery of teaching and the promotion of student experience. We are particularly interested in candidates who have taught in the areas that have involved the use of AI, big data, virtual reality, machine learning and visualisations. Applicants should have experience of how technology can contribute to decision making and insights in a business environment. 

Informal enquiries should be directed in the first instance to Professor James Aitken (James.Aitken@surrey.ac.uk), Head of the Business Transformation Department.

Further details: Job Description

For more information and to apply online, please download the further details and click on the ‘apply online’ button above.
 

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.

SENIOR LECTURER IN BUSINESS ANALYTICS

Surrey Business School

Location: Guildford
Salary: £51,034 to £60,905
Post Type: Full Time
Advert Placed: Tuesday 17 August 2021
Closing Date: Tuesday 14 September 2021
Interview Date: Friday 15 October 2021
Reference: 025321-R2
Apply Online: https://jobs.surrey.ac.uk/vacancy.aspx?ref=025321-R2

The University of Surrey is a global university with a world-class research profile and an enterprising and forward-thinking spirit committed to research and innovation excellence and to benefitting the economy, society and the environment. Our researchers practise their excellence against the backdrop of our broad spectrum of technological, human, health and social sciences, and their uncommonly strong linkages forged in an integrated campus culture of cooperation.

The Department of Business Transformation at Surrey Business School is seeking applications for a Senior Lecturer position. This is part of an ambitious effort to develop a world-class group of scholars who will make significant contributions to the various facets of management research on business analytics. The role should have the view that a business is transformed by applying Business Analytics techniques. We are looking for people interested in theoretical expertise in Machine Learning, Artificial Intelligence, Big Data and Forecasting. Our department is deeply engaged with local and international businesses which provide opportunity for meaningful interaction ensuring relevant research and teaching. We are looking for someone that supports our revenue generation in the Business and Data Analytics sector (e.g. via bids, Innovate UK funding, etc.). The new member of the department will increase the visibility of the University by supporting our Analytics Research Cluster. Furthermore, we are looking for someone that has the potential of leading our existing Business Analytics MSc programme. We collaborate with researchers across the University such as computer science, engineering, data science and digital health.  

Candidates should hold a relevant doctoral degree and be from a Mathematics, Data Science, Computer Science, Finance, Econometrics or Industrial Engineering. Candidates should demonstrate their ability and interest to conduct novel empirical research on phenomena that are important to Business Analytics and Transformation. We are particularly interested in candidates who studied supply chain analytics, big data and machine learning while having developed an understanding of how the technology can contribute to decision making and insights in a business environment.

You will have demonstrated a strong potential for A-journal publications and have experience of teaching in higher education – preferably in a business school context. 

This is a great opportunity for an Analytics orientated person, where you will be able to develop as a scholar in a supportive and exciting environment.

Informal enquiries should be directed in the first instance to Professor James Aitken, (James.Aitken@surrey.ac.uk), Head of the Business Transformation Department.

Apply Online: https://jobs.surrey.ac.uk/vacancy.aspx?ref=025321-R2

Online DEA course – 2 days – 28 & 29 June 2021

Online Data Envelopment Analysis (DEA) Course

Courses on Performance Measurement Using Data Envelopment Analysis (DEA) – Online

Details: https://dataenvelopment.com/course/
Deadline for registration: 25th June 2021

DATA ENVELOPMENT ANALYSIS COURSE:  28-29 JUNE 2021

RUNNING PARALLEL STREAMS TO FIT A WIDE RANGE OF TIME ZONES

 Aims

The aim of this course is to enable participants to understand the fundamentals of Data Envelopment Analysis (DEA) as a general purpose method for efficiency and productivity analysis in complex multi – output and multi- input contexts in the production of goods and services. The course will cover both the theory and the actual use of DEA. Sample real life and simulated contexts will be used.

Apart from the classical DEA models under constant and variable returns to scale, the course will cover models for assessing productivity change over time, for incorporating value judgements in DEA, for target setting and for exploiting economies of scale etc.  The course will use various areas of application drawn from the real life experience of the presenters and from the interests of the participants to illustrate approaches. The PIM DEA software (www.deasoftware.co.uk) will be used for hands on sessions by participants.

Running the course over two-days in staggered parallel streams
[ (9am to 5.30pm) or (12.30pm to 8pm) ]

As there are registrations from a wide range of time zones we will run two parallel streams staggered streams spanning from 9 am to 8pm London time. One stream will fit better time zones East and the other West of England. This means we shall be repeating some sessions as presenters so you will each have the chance to have the session closer to what would be a reasonable time for your time zone. It also means for some of the sessions all of you will be able to join in at the same time. It also means, if you can cope with the timing, you are welcome to join twice a repeat session if you so wish.

Paying to join the course.

For full details and paying for the course please visit: https://dataenvelopment.com/course/

Alternatively, you can pay using the following link below, enter the full amount you pay and your name and email address at: http://dataenvelopment.com/payment.htm

You can either pay by PayPal. If you do not have a PayPal choose option to pay by credit card.

If you have any questions please email me on e.thanassoulis@aston.ac.uk

Presenters:  

Professor Emmanuel ThanassoulisEmmanuel is Professor in Management Sciences at Aston Business School and is on the Editorial Board of the European Journal of Operational Research. He is a world authority on Data Envelopment Analysis (DEA) with over 60 refereed publications in the area including the highly influential book Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software (Springer) and ‘DEA—The Mathematical Programming Approach to Efficiency Analysis’, in The Measurement of Productive Efficiency and Productivity Growth  (Oxford University Press). He has co-developed highly acclaimed DEA Software and has acted as consultant on efficiency and productivity analysis to a variety of organisations, including Sibelga (Belgian gas and electricity distribution operator), Transco, Ofwat, the UK Department for Communities and Local Government and HM Treasury.

Professor Ali EmrouznejadAli is a Professor of Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Dr Emrouznejad is editor of Annals of Operations Research, Associate Editor of Socio-Economic Planning Sciences, Associate Editor of IMA journal of Management Mathematics, Associate Editor of RAIRO Operations Research Journal, Senior Editor of Data Envelopment Analysis journal, and member of editorial boards or guest editor in several other scientific journals. He has published over 100 articles in top ranked journals, he has also published several DEA books including “Performance Measurement with Fuzzy DEA” (Springer) and “Managing Service Productivity”  (Springer). He is also co-founder of Performance Improvement Management Software (PIM-DEA), see http://www.DEAzone.com

For registration and further details please visit: https://dataenvelopment.com/course/

Call for PAPERS: DEA at OR63, September 2021, University of Southampton, UK – ONLINE

Abstract submission: CLICK HERE (deadline: 15th July 2021)

OR63: Data Envelopment Analysis and its Applications

This stream covers papers on the theme of efficiency, productivity analysis and performance management.

This stream is perfect for anyone interested in learning more about Data Envelopment Analysis (DEA).  It is an excellent opportunity for anyone looking to share their knowledge of productivity analysis or performance managemenWe especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. We are interested in presentations on successful applications of performance and efficiency analysis in the real world, for example but not limited to:

    • banking
    • healthcare
    • education
    • transportation
    • Energy and so on.

Both parametric and non-parametric papers will be considered.

If you are interested in making a presentation, please submit a title and abstract of your talk no later than 15th July 2021. See details at:  at https://www.theorsociety.com/events/annual-conference/
 

Deadline for submission abstract:  Junly 15, 2021
Conference date:  September 14-16, 2021
Conference Venue: ONLINE –  University of Southampton, UK 

Details about the venue:  CLICK HERE
Abstract submission:  CLICK HERE

Kind regards,
Ali Emrouznejad,
Professor of Business Analytics, Operations & Information Management Group
Aston Business School, Aston University, Birmingham B4 7ET, UK

[Data Envelopment | DEA Software | LinkedIn]

__________________________________________________________________________

DEA Course: Performance Measurement Using Data Envelopment Analysis (DEA) – ONLINE           

Dates:
Monday June 28, 2021 – Choose 09.00 to 17.30 or 12.30 to 20.00 (UK time)
Tuesday June 29, 2021 – Choose 09.00 to 17.30 or 12.30 to 20.00 (UK time)

Running the course over two-days in staggered parallel streams [ (9am to 5.30pm) or (12.30pm to 8pm) UK time].
As there are registrations from a wide range of time zones we will run two parallel streams staggered streams spanning from 9 am to 8pm London time. One stream will fit better time zones East and the other West of England. This means we shall be repeating some sessions as presenters so you will each have the chance to have the session closer to what would be a reasonable time for your time zone. It also means for some of the sessions all of you will be able to join in at the same time. It also means, if you can cope with the timing, you are welcome to join twice a repeat session if you so wish.

Deadline:
Deadline for registration is 25th June 2021.

Presenters:
Professor Emmanuel Thanassoulis & Professor Ali Emrouznejad

Method of teaching:
Online – via ZOOM
 or MS TEAM

Details: CLICK HERE

FREE DEA Webinar, (26th May at 1pm)

Advanced data Envelopment analysis with PIM-DEA software

Ali Emrouznejad and Emmanuel Thanassoulis, Aston University

26 May 2021 at 1pm
BOOK HERE

Join Ali Emrouznejad and Emmanuel Thanassoulis from Aston University, for an introduction to Data Envelopment Analysis (DEA).

DEA (Data Envelopment Analysis) is an optimization method for measuring the efficiency and productivity of decision-making units with multiple inputs/outputs. DEA has been rapidly extended as a performance management tool, identifying the scope for scale economies, company and industry level productivity change over time, identifying targets and benchmark units, incorporating value judgments in assessments of performance, dealing with uncertainty in data and much more.  

In this webinar, they will share top performance measurement tips using advanced DEA models and will introduce features of the Performance Improvement Management Software (PIM-DEA).

This webinar is designed for academics and public and private sector professionals who are interested in Data Envelopment Analysis.  To access the webinar you will be sent a link to our events platform before the event.    BOOK HERE

Online DEA course – 2 days – 28 & 29 June 2021

Online DEA Course

Courses on Performance Measurement Using Data Envelopment Analysis (DEA) – Online

Date: 28 and 29 June 2021  (Register before 15th May 2021 and save £10%.)
For registration and further details please visit: https://dataenvelopment.com/course/

For registration and further details please visit: https://dataenvelopment.com/course/

Online DEA course – 2 days – 28 & 29 June 2021

Online DEA Course

Courses on Performance Measurement Using Data Envelopment Analysis (DEA) – Online

Date: 28 and 29 June 2021  (Register before 15th May 2021 and save £10%.)
For registration and further details please visit: https://dataenvelopment.com/course/

The aim of this course is to enable participants to understand how Data Envelopment Analysis (DEA) can be used to derive measures of efficiency and productivity change over time in complex multi?output multi?input contexts in the production of goods and services.

Apart from the classical DEA models under constant and variable returns to scale, the course will cover models for assessing productivity change over time, for incorporating value judgements in DEA, for target setting and exploiting economies of scale, for dealing with cases where some of the variables obey constant and others varying returns to scale etc. The course will use various areas of application drawn from the interests of the participants to illustrate the models. The PIM DEA software will be used for hands on?sessions by participants.

Day 1- Morning

  • Understand principles behind the non-parametric performance measurement
  • An illustrative assessment by DEA.

Day 1- Afternoon

  • Basic DEA models for measuring efficiency in multi-input multi-output situations.
  • Advanced DEA models including Malmquist productivity indices and the use of DEA software.

Day 2- Morning

  • Assessment under variable returns to scale, scale efficiency, most productive scale size and target setting.
  • Incorporating value judgement in DEA.

Day 2- Afternoon

  • Illustrative applications of DEA drawn from the delegates’ work experience.
  • Advanced features of PIM-DEA software.

Presenters:                                                                                                                                                              

Professor Emmanuel ThanassoulisEmmanuel is Professor in Management Sciences at Aston Business School and is on the Editorial Board of the European Journal of Operational Research. He is a world authority on Data Envelopment Analysis (DEA) with over 60 refereed publications in the area including the highly influential book Introduction to the Theory and Application of Data Envelopment Analysis: A foundation text with integrated software (Springer) and ‘DEA—The Mathematical Programming Approach to Efficiency Analysis’, in The Measurement of Productive Efficiency and Productivity Growth  (Oxford University Press). He has co-developed highly acclaimed DEA Software and has acted as consultant on efficiency and productivity analysis to a variety of organisations, including Sibelga (Belgian gas and electricity distribution operator), Transco, Ofwat, the UK Department for Communities and Local Government and HM Treasury.

Professor Ali EmrouznejadAli is a Professor of Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis as well as data mining. Dr Emrouznejad is editor of Annals of Operations Research, Associate Editor of Socio-Economic Planning Sciences, Associate Editor of IMA journal of Management Mathematics, Associate Editor of RAIRO Operations Research Journal, Senior Editor of Data Envelopment Analysis journal, and member of editorial boards or guest editor in several other scientific journals. He has published over 100 articles in top ranked journals, he has also published several DEA books including “Performance Measurement with Fuzzy DEA” (Springer) and “Managing Service Productivity”  (Springer). He is also co-founder of Performance Improvement Management Software (PIM-DEA), see http://www.DEAzone.com

For registration and further details please visit: https://dataenvelopment.com/course/

Special issue of Socio-Economic Planning Sciences : Methods and techniques for assessment of health care performance

Methods and techniques for assessment of health care performance

Guest Editors:
Diogo Cunha Ferreira*, Ana Camanho, and José Rui Figueira
* Key Guest Editor

Socio-Economic Planning Sciences invites submissions that focus on theoretical contributions and innovative application frameworks to assess efficiency, quality, and access to health care systems (HCS) worldwide. For this Special Issue, we are seeking papers that address innovative methods and application frameworks to measure the performance in the health sector in terms of efficiency, quality, and access dimensions, including but not limited to the following topics:

  • Measuring the impact of public policies or social programs related to health care systems’ performance;
  • Health care systems’ performance in a variety of scenarios, such as in wealthy and developed nations, or impoverished and social excluded regions;
  • Theoretical and methodological challenges in understanding the determinants of health care systems’ performance;
  • Patterns and trends in health care systems’ performance, across time, contexts, and demographic groups;
  • Social determinants of health care systems’ performance as they relate to demographic changes;
  • Contextual determinants of health care systems’ performance and health disparities;
  • Cross-national perspectives in the examination of health care systems’ performance.

The deadline for submissions is December 31, 2021. Authors should submit their papers online at https://www.editorialmanager.com/SSM/default.aspx. When asked to choose article type, authors should stipulate ‘Special Issue: Methods and techniques for assessing hospital performance.’ In the ‘Enter Comments’ box, the Special Issue title should be inserted along with any further comments to the editors. All submissions should meet the Socio-Economic Planning Sciences Journal author guidelines.

Early submission is encouraged. The referee process will start upon submission of the paper. Accepted papers will be published individually online as they are accepted before print publication. All inquiries concerning the submission to the special issue will be addressed directly by the Guest Editors. For any query, please contact the Key Guest Editor Diogo Ferreira.

The Guest Editors of this Special Issue are:
Diogo Ferreira (diogo.cunha.ferreira@tecnico.ulisboa.pt),
Ana Camanho (acamanho@fe.up.pt),
José Rui Figueira (figueira@tecnico.ulisboa.pt).

Important dates
Submission deadline             December 31, 2021
Editorial and publication         September 30, 2022

Detailed information available at the following URL: https://www.journals.elsevier.com/socio-economic-planning-sciences/call-for-papers/methods-techniques-assessment-of-health-care-performance

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