Skip to toolbar

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/

Productivity conference centered around African productivity issues

Conference Dates: December 16-18, 2021.
Conference Venue: Virtual, hosted by ISEAPA and Jonkoping International Business School, Jonkoping University, Sweden.
Conference website: https://iseapa.org/virtual_apw
Submission and registration website: Conference Maker
Registration fee: FREE

Dear Colleagues,

The leadership at ISEAPA is excited to host the first productivity conference centered around African productivity issues. Per COVID-19 precautions, the conference will be run entirely virtually. We expect a large and diverse body of participants to attend in 2021. Submissions on efficiency, productivity, growth, sustainability, development infrastructure, energy, population growth, urbanization and labor market are highly encouraged. Our aim is to have a conference program that features all popular techniques and methodologies within the field, including stochastic frontier analysis and data envelopment analysis. We also welcome papers on broader issues related to measuring, understanding, incentivizing and improving the productivity and performance of firms, public services, and industries within Africa.

Interested scholars can submit an extended abstract (300-500 words) through ISEAPA. Priority will be given to submissions with a full-length paper. All submissions will be considered by the scientific committee. Keynote speakers are listed below. On behalf of ISEAPA leadership, we look forward to welcoming “seeing” all participants this upcoming December.

Important dates:
Abstract submission and registration: August 15th, 2021
Abstract submission closes: October 31st, 2021
Notification of acceptance: November 15th, 2021
Registration deadline: December 1st, 2021

Any questions or concerns regarding the conference may be addressed to the local organizer Almas Heshmati.

Organizing Committee:
• Felicity Addo, Institute for Sustainable Economic Development, Austria, E-mail: felicity.addo@boku.ac.at
• Almas Heshmati, Jonkoping International Business School, Sweden, E-mail: almas.heshmati@ju.se
• Selamawit G. Kebede, Poverty and Social Welfare Center, Ethiopia, E-mail: selam3mg@gmail.com
• Christopher Parmeter, University of Miami, USA, E-mail: cparmeter@bus.miami.edu
• Robin Sickles, Rice University, USA, E-mail: rsickles@rice.edu

Scientific Committee:
• William Greene, New York University, USA
• Almas Heshmati, Jonkoping International Business School, Sweden
• Subal C. Kumbhakar, Binghamton University, USA
• Christopher Parmeter, University of Miami, USA
• Robin Sickles, Rice University, USA

Keynote Speakers:
• M. Hashem Pesaran – Cambridge University. “Long-Term Macroeconomic Effects of Climate Change: A Cross-Country Analysis.”
• Subal Kumbhakar – Binghamton University. “Recent Advances in the Panel Stochastic Frontier Models: Endogeneity, Heteroskedasticity, Dependence.”
• KLaus F. Zimmermann – Global Labor Organization. “Ethnic Identity and Productivity.”
• William Greene – New York University. “Remarks on linear and nonlinear estimation of binary choice models.”
• Steve Kayizzi Mugerwa – Georgetown University. “The Developmental State in Africa in the 21st Century: Relevance and Plausibility.”
• Menale Kassie – International Center of Insect Physiology and Ecology. “Agricultural Technology Adoption? To be Announced.”

Special Issue: Frontier Methods for Sustainability Challenges

Journal cover for Sustainability Analytics and Modeling

ISSN: 2667-2596

Sustainability Analytics and ModelingSubmit your PaperGuide for authorsTrack your paper

Special Issue: Frontier Methods for Sustainability Challenges

July 2021

1. AIMS AND SCOPE

The assessment and promotion of sustainable development is an issue with growing importance among scientific and policy-making communities. Efforts from the academy and governmental institutions lead to a better understanding of how local communities, industries, cities, and countries are performing compared to their peers and encouraging the monitoring of progress over time. In recent years, efforts to monitor these components have generated many indicators intended to measure performance on aspects about emissions, waste production, green space, safety, income, health, education, etc. Countries and supranational organizations collect data on these indicators. Still, the amount of data generated is often too large, and it is not sufficiently clear to provide helpful information and practical guidance to attend to the needs of the policymakers. Efforts to measure and quantify the results of policies aiming at sustainable development improvements are necessary to guide decision-making. Thus, there remains a need for advancing existing tools and designing new ones for promoting sustainability improvements. This special issue aims to explore and advance Frontier Methods’ latest achievements to tackle sustainability challenges by publishing articles that address topics, such as:

  • Theoretical developments of frontier estimation models addressing sustainability challenges
  • Innovative applications of Data Envelopment Analysis and Stochastic Frontier Analysis to Sustainable Development challenges
  • Quantitative methods targeting the assessment of the three pillars of Sustainable Development: People (social sustainability), Planet (environmental sustainability), and Prosperity (economic sustainability)
  • Assessments focused on the Sustainable Development Goals of the UN Agenda 2030.
  • Cross-national comparisons in the examination of sustainable development
  • Theoretical and methodological challenges in understanding the determinants of sustainable development in the key sectors (e.g., education, health, justice, water and sanitation, energy, or others)
  • Convergence in the achievement of Sustainable Development at regional, national, or worldwide level

2. SUBMISSION GUIDELINES

The APC (Article Publishing Charge) will be covered by IFORS for all papers submitted by 31st December 2022. Submitted papers should be original works and should not have been previously published or currently considered for publication elsewhere. The manuscripts should be prepared according to the Guide for Authors available at:

https://www.elsevier.com/journals/sustainability-analytics-and-modeling/2667-2596/guide-for-authors.

All manuscripts should be submitted electronically using the journal’s online manuscript submission system at:

https://www.editorialmanager.com/samod/default.aspx.

When prompted for the article type, please select “Special issue on Frontier Methods for Sustainability Challenges“.

On the Attach Files screen, please submit the Manuscript, Highlights, Cover Letter summarizing the contributions of the paper, and Conflict of Interest Declaration (template available at https://service.elsevier.com/app/answers/detail/a_id/286/supporthub/publishing/).

In the review preferences screen, you may suggest potential reviewers for this submission and provide specific reasons for your suggestion in the comments box for each person.

3. IMPORTANT DATES

Submission deadline: 31 December 2021

Notification of the first round review (for guidance only): 1 April 2022

Revised submission due (for guidance only): 1 June 2022

Final notice of acceptance/reject (for guidance only): 1 August 2022

Papers will be subject to a review process managed by the Guest Editors. The primary acceptance criteria for submission are the quality and originality of the research, the paper’s analytical contributions, and the relevance of the research topic.

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.

GUEST EDITORS

  • Prof. Ana Camanho, Department of Industrial Engineering and Management, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal. E-mail: acamanho@fe.up.pt
  • Dr. Giovanna D’Inverno, Faculty of Economics and Business KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium. E-mail: giovanna.dinverno@kuleuven.be
  • Prof. Dr. Rossana Riccardi, Department of Economics and Management, University of Brescia, Via San Faustino 74/b, 25121 Brescia, Italy. E-mail: rossana.riccardi@unibs.it
  • Dr. Hervé Dakpo, Université Paris-Saclay, INRAE, AgroParisTech, Economie Publique, 78850, Thiverval-Grignon, France. E-mail: k-herve.dakpo@inrae.fr
  • Prof. Dr. Gerhard-Wilhelm Weber, Faculty of Engineering Management, Poznan University of Technology, ul. Jacka Rychlewskiego 2. 60965 Pozna?, Poland. E-mail: gerhard.weber@put.poznan.pl

A special issue of Journal of Smart Environments and Green Computing

Topic: Multi-Attribute Decision-Making Models and Applications in Green Manufacturing

A special issue of Journal of Smart Environments and Green Computing

ISSN 2767-6595 (Online)

Submission deadline: 31 Mar 2022

Guest Editor(s)

  • Prof. Dr. Madjid TavanaLa Salle University, Philadelphia, PA, USA.Website | E-mail
  • Prof. Dr. Debora Di CaprioDepartment of Economics and Management, University of Trento, Trento, Italy.Website | E-mail
  • Prof. Dr. Francisco J. Santos-ArteagaFaculty of Economics and Management, Free University of Bolzano, Bolzano, Italy.Website | E-mail

Special Issue Introduction

Green manufacturing is the process of establishing eco-friendly production practices and taking advantage of renewable resources in the production of goods and materials. These eco-friendly practices could be used for manufacturing green products or greening the manufacturing process, and reducing pollution and waste. Establishing green manufacturing systems requires complex models with multiple and often conflicting sustainability attributes.

Multi-attribute decision-making models can be used to quantify trade-offs between economic, social, and environmental dimensions and select the most suitable green manufacturing options. This special issue provides state-of-the-art information for academic researchers, policy-makers, and practitioners concerned with developing new methodologies, tools, and technologies to formulate and solve multi-attribute problems in green manufacturing. We invite researchers and practitioners to submit high-quality research papers on multi-attribute operational and strategic approaches to support green manufacturing, distribution, and inventory decisions. Topics of interest include but are not limited to:
Advanced Green Manufacturing Technology
Analytic Hierarchy Process (AHP)
Analytic Network Process (ANP)
Attribute Weight
Best-Worst Method (BWM)
Closed-Loop Supply Chain Management
Decision Analysis
Decision Analytics
Decision Theory
ELimination Et Choice Translating Reality (ELECTRE)
Environmental Impact Assessment
Green Initiatives
Green Manufacturing
Green Practices
Green Supply Chain
Multi-Attribute Decision-Making (MADM)
Multi-Attribute Utility Theory (MAUT)
Multi-Attribute Value Theory (MAVT)
Multi-Scale Decision Analysis
Preference Ranking
Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)
Simple Multi-Attribute Rating Technique (SMART)
Simple Multi-Attribute Rating Technique with Swing weight
Sustainability Measurement
Sustainable Design
Sustainable Distribution
Sustainable Manufacturing
Sustainable Performance
Sustainable Production
Techniques for Order Preference by Similarity to Identical Solution (TOPSIS)
Total Quality Management
VIseKriterijumska Optimizacija I Kompromisno Resenjea (VIKOR)

Submission Deadline

31 Mar 2022

Submission Information

Articles of special issue are free of charge for article processing.
For Author Instructions, please refer to http://jsegcjournal.com/pages/view/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=jsegc/?IssueId=JSEGC210819
Submission Deadline: 31 Mar 2022
Contacts: Wendy Gong, Assistant Editor, wendy@oaepublish.com

EWEPA XVII – The 17th European Workshop on Efficiency and Productivity Analysis, 27 to 29 June 2022

We are pleased to announce that EWEPA XVII will take place in the beautiful city of Porto, Portugal. Católica Porto Business School will host this event from the 27th to the 29th of June 2022.  The event will include plenary sessions, regular parallel sessions, thematic parallel sessions, and also special sessions for PHD students whose papers will be discussed by a senior researcher. We hope to be able to also provide memorable social events.

EWEPA is the leading biennial conference devoted to the methodology and application of productivity, efficiency and performance analysis of organisations, joining academics and practitioners from all continents. We welcome submissions of methodology and application papers concerned with the issues of measurement, understanding, and improving the performance of firms, public services, and industries.

If you are willing to organise a thematic session please let us know and we will try to accommodate that in the program,

We invite submission of abstracts with no more than 1800 characters (including spaces) at https://www.ewepa.org/. Note that only one abstract per author will be accepted, and the speaker should be identified.

Key Dates
Deadline for submission of abstract: 15th January 2022
Deadline for  full paper submission: 31st January 2022  
Early-bird Registration: 31st March 2022 

In 2024 EWEPA will also be held in Portugal, but this time in the beautiful city of Faro in the South of the country.

We hope to meet you all in Porto next June!
Ana Camanho
(acamanho@fe.up.pt
Faculty of Engineering, University of Porto   Carla Amado
(camado@ualg.pt)
Economics faculty of Algarve University Maria Silva
(csilva@ucp.pt)
Católica Porto Business School   Sérgio Santos
(ssantos@ualg.pt
Economics faculty of Algarve University

Webinar: Using DEA to identify efficiency markers in the delivery of healthcare

Webinar: Using DEA to identify efficiency markers in the delivery of healthcare

Professor Emmanuel Thanassoulis, Aston University

September 29, 2021 01:00 PM (UK time)
BOOK HERE 

The healthcare industry is one of the largest in the world, using nearly 10% of global GDP. Due to an ageing population and increased prevalence of chronic diseases, costs and patient numbers in the healthcare sector continue to grow. The need for health care providers to operate more efficiently and optimise productivity is, therefore, very important.  

This talk reports on an approach to improving the cost-efficiency of inpatient health care delivery through systematic identification and dissemination of best practice. It will discuss how this is demonstrated using data on inpatient spells for thoracic empyema or Pyothorax at a major UK Children’s hospital. The method developed will allow a hospital to assess retrospectively performance in terms of cost at the granular level of inpatient spells. The use of this approach will allow the determination of a summary figure of cost efficiency, expressed here in the form of the potential reduction in the Length of Stay (LOS) of the spell.  

This webinar is suitable for academics, consultants, those working in the private sector and researchers. Attendees will learn how to model in a Data Envelopment Analysis (DEA) context in health care delivery. They will also understand how to look for factors conducive to improving cost efficiency in health care delivery. The webinar will demonstrate the advantages and limitations of DEA in modelling health care delivery and delegates will leave with a broader understanding of productivity studies using DEA. 

Emmanuel is Emeritus Professor in Management Sciences at Aston University, Birmingham, UK. He is a world authority on the key method of Data Envelopment Analysis (DEA) and its use within the field of efficiency and productivity measurement. He has published numerous papers on DEA in top-rated academic journals and is on the Editorial Board of the European Journal of Operational Research, a top-rated journal for learned publications in the field of efficiency and productivity analysis. He has co-developed DEA Software and has offered advice on efficiency measurement to a variety of organisations including the Department for Education and Skills, the Home Office, OFWAT, Severn Trent Water, and many more.  

This webinar is designed for academics and public and private sector professionals who are interested in Data Envelopment Analysis. 

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/

goin up