Time: November 4, 2020 01:00 PM (UK time)
Join Ali Emrouznejad, Professor of Business Analytics, Aston University, for an introduction to Data Envelopment Analysis (DEA).
In this webinar he will share his top performance measurement tips using advanced DEA models and introduce features of the Performance Improvement Management Software (PIM-DEA).
This stream is perfect for anyone interested in learning more about Data Envelopment Analysis (DEA). It will provide an introduction to DEA, demonstrate how DEA is used in benchmarking and regulation, and showcase how PIM-DEA software can be used in benchmarking. It is an excellent starting point for anyone looking to further their knowledge of productivity analysis or performance management.
Ali Emrouznejad will provide an introduction to DEA, before Emmanuel Thanassoulis and Srini Parthasarathy speak about DEA in regulation. The session will finish with a demonstration of how PIM-DEA software can be applied in regulation and a Q&A session.
Utility companies provide services like water, energy and telecommunications etc. They have virtual monopoly power relative to clients and are therefore regulated to simulate market conditions. There is a prevailing view that markets either do not exist or are not competitive enough in the case of utilities. In essence, the Regulator is there to protect the consumer from excessive costs for the services provided by utilities.
The need for utilities to make large capital-intensive infrastructure investments, coupled with the absence of substitutes and inelastic demand, tends to generate natural monopolies. Given this market structure, governments have set up regulatory systems to control prices and incentivise investment, continuity of supply and improvement in the quality of service. The regulatory systems have largely developed in tandem with the privatisation of previously publicly owned and managed utilities such as gas, electricity, water and telecommunications.
This talk will give an overview of benchmarking and its purpose in the regulation of utilities in Europe and the UK. It will then outline how DEA has been integrated into Regulatory systems and offer insight into how DEA can be extended to improve the incentives within regulation.
Ali Emrouznejad – a.emrouznejad@aston.ac.uk
Special issue on:
Call for papers
Special issue of “Sustainability”, entitled, “Policies for Sustainable
Agricultural Productivity and Efficiency”.
Guest editor: Dr Boon L. Lee
I would like to invite you to contribute to this Special Issue, which
addresses matters such as whether current farm practices and
productivity is able to meet the objectives of food security. How new
innovative farming techniques can increase farm output while reducing
greenhouse gases. Whether current agricultural policies are achieving
the goals of sustainable farm production or are there policies that may
achieve these goals? Or any other issues that aligns with sustainable
efficiency and productivity in agriculture.
The website for the special issue is found below:
https://urldefense.com/v3/__https://www.mdpi.com/journal/sustainability/special_issues/Agricultural_Productivity_Efficiency__;!!NVzLfOphnbDXSw!QH-auBdn2mu_S8ykqJ9brfD7JxYYoQAg7aPLCCtKeOerJ9Nei1bFQcZmUn1Y3kfx$
Best regards,
Boon
Dr Boon L. Lee (FHEA) | Senior Lecturer | School of Economics and Finance
QUT Business School | QUT | Email: bl.lee@qut.edu.au
Special issue on:
Ali Emrouznejad, Aston Business School, Aston University, Birmingham, UK
Gholam R Amin, Faculty of Business, University of New Brunswick at Saint John, Canada
Data Envelopment Analysis (DEA) as developed by Charles Coopers, Rhodes (1978) is an optimization method of mathematical programming to generalize the Farrell (1957) single-input/ single-output technical efficiency measure to the multiple-input/ multiple-output case by constructing a relative efficiency score as the ratio of a single virtual output to a single virtual input.
The standard DEA models measure the relative efficiency of decision-making units (DMUs). They do not reveal the level of inputs and outputs that would allow a business firm to realize a given efficiency target. This requires solving an inverse problem which is beyond the scope of DEA models and requires appropriate mathematical models relate to inverse optimisation to be developed.
Recent years have seen the potential of inverse DEA (InvDEA) in solving different decision-making problems in the areas such as environmental efficiency, greenhouse gas emissions optimization, resource allocation, firms restructuring, and mergers’ gains estimation. Despite the wide range applicability of DEA, there are few applications of InvDEA in the literature.
In this issue, we consider state-of-the-art papers spanning all areas of analytical and empirical research related to new developments in InvDEA models and applications of performance and efficiency analysis in the real world as long as the article provides significant new insights to advance the practices of InvDEA.
Specifically, this special issue aims to invite scholars and practitioners to develop theory and application of InvDEA in the areas such as climate change, environmental efficiency, pollution minimization, carbon tax policy, firms restructuring, resource allocation, as well as potential merger and acquisition application of InvDEA for the post-Coronavirus market.
References:
Important Dates
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Extended to 31 March 2021 |
Submission deadline |
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31 April 2021 |
Notification of status & acceptance of paper |
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31 August 2021 |
Revised manuscripts |
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31 December 2021 |
Final submissions |
Guest Editors
List of Editors’ related paper on “Inverse DEA”:
Courses on: Performance Measurement Using Data Envelopment Analysis (DEA) at Aston University, UK
Presenters:
Professor Emmanuel Thanassoulis, Professor Ali Emrouznejad, Dr Dimitris Giraleas
 DEA course: July 6-7, 2020 |
SFA course: July 8-9, 2020 |
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28 February 2021 |
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Submission of Abstract |
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15 June 2021 |
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Notification of acceptance or invitation for revision of paper |
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30 September 2021 |
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Deadline for submission of revision |
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30 November 2021 |
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Notification of acceptance |
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
Professor Ali Emrouznejad (a.emrouznejad@aston.ac.uk )
Head of Business Analytics Group at Aston Business School,
Aston University,
Birmingham B4 7ET,
United Kingdom
Other Publications in this area:
Call for Papers: Data Envelopment Analysis (DEA) and its ApplicationsOR62: Annual Conference, September 15-17, 2020, University of Warwick, UKAbstract submission: CLICK HERE (deadline: 31st May, 2020) Dear Colleague, We would like to issue an invitation to take part in the Data Envelopment Analysis (DEA) Stream of the OR62 Conference. This conference will be held in University of Warwick, UK from 15th to 17th September 2020. Contributions from both the academic and the non-academic communities are welcome. This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, Energy, and so on. If you are interested in making a presentation, please submit a title and abstarct of your talk no later than 31st May 2020. See details at: at http://deazone.com/en/or62. Deadline for abstract submission: May 31, 2020 Details about the venue: CLICK HERE Kind regards, __________________________________________________________________________ DEA & SFA course at Aston University, July 2020:
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Special issue on:
Ali Emrouznejad, Soumyadeb Chowdhury, Prasanta Dey, Aston University, United Kingdom
Click HERE for details
Blockchain technology (BCT) has emerged as an enabling technology that can provide traceability, provenance and transparency in business operations, across complex global supply chain ecosystems, where leanness, agility, and speed are crucial, in addition to achieving social sustainability. It is considered one of the most disruptive technologies representing decentralised environment for transactions, self-executing digital contracts (smart contracts) and intelligent asset management over the Internet, providing a single-view to the entities (users) involved in the transaction. Therefore, the key characteristics of BCT will significantly impact the organisational governance, supply-chain relationships, operations strategy, digital transformation pathway and existing supply-chain business models. BCT when integrated with other technologies such as the Internet of Things, big data analytics, and artificial intelligence, will help to increase the efficiency of supply chain through agile data-driven decision-making based on high quality data (stored in Blockchain) and further facilitating supply chain transparency that will also afford product traceability, authenticity and legitimacy, and enhance sub-supplier transparency that will alleviate social sustainability problem in multi-tier supply networks.
Despite the potential of BCT for the field of Operations and Supply Chain Management (OSCM), it has thus far received extremely limited attention in the OSCM literature, except for a few studies reporting a systematic review of literature reflecting on the characteristics of the technology, potential drivers in a business environment and technical challenges to deploy it. However, empirical evidence and research on developing new models and contemporary tools to assess several elements related to the technology, including and not limited to, performance, organisational readiness, risk assessment, operations strategy, integration with existing ERP systems and supply chain business models, will facilitate deeper understanding of the benefits offered by the technology that in-turn will help managers and relevant decision-makers to systematically assess the impact of BCT on their respective organisation and supply chain model. Furthermore, research into application of BCT within OSCM literature will require examining the relevance of existing theories and either developing new theories or extending existing theories that will facilitate better understanding of this contemporary phenomenon and its impact on supply chain relationships, operations strategy, workforce management, business partnerships, value creation, social legislations and business transparency.
For this special issue, we expect original research papers reporting empirical evidence, models and tools, and developing new theories contributing to the application of BCT in OSCM.
The main topics of interest include but are not limited to:
Instructions for Authors can be found at:
https://www.springer.com/journal/10479/submission-guidelines
Authors should submit a cover letter and a manuscript by September 31, 2020, via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.
Please see the Author instructions on the web site if you have not yet submitted a paper through Springer’s web-based system, Editorial Manager. When prompted, please select the special issue’s title, Blockchain in Operations and Supply Chain Management, to ensure that it will be reviewed for this special issue.
Papers will be subject to a strict review process under the supervision of the Guest Editors, and accepted papers will be published online individually, before print publication.
Important Dates
| 31 July 2021 | Submission deadline (early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted) |
| 31 August 2021 | Notification of status and acceptance of paper |
| 31 November 2021 | Revised manuscripts |
| 31 December 2021 | Final version of paper |
Guest Editors
Ali Emrouznejad (Managing Guest Editor), A.Emrouznejad@aston.ac.uk,
Professor Business Analytics, Operations and Information Management Department, Aston Business School, Aston University
Soumyadeb Chowdhury, S.chowdhury5@aston.ac.uk,
Lecturer Information and Communication Technology, Operations and Information Management Department, Aston Business School, Aston University
Prasanta Dey, deypk@aston.ac.uk,
Professor in Operations and Information Management, Aston Business School, Aston University
Call for PAPERS:
Data Envelopment Analysis (DEA) stream at IFORS2020,
21st – 26th, June 2020, Seoul, Korea
http://deazone.com/en/ifors2020
Dear Colleague,
We would like to issue an invitation to take part in the Data Envelopment Analysis and Performance Measurement Stream of the IFORS2020 Conference. This conference will be held on June 21 (Sun) – 26 (Fri), 2020 at Coex Convention Center in Seoul, South Korea. Contributions from both the academic and the non-academic communities are welcome.
This stream covers papers on the theme of efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We especially welcome papers on the theory, methodology and application of Data Envelopment Analysis and econometric methods in performance management. Of particular interest are successful applications of performance and efficiency analysis in the real world, for example in banking, healthcare, education, transportation, and so on. If you are interested in making a presentation, please submit a title of your talk no later than January 17, 2020 at https://www.euro-online.org/conf/ifors2020/, using the following session code:
“e4ae0ab0” for DEA&SFA: Theory, Methodology and Applications
Further details about the conference is avilable at http://www.ifors2020.kr/
Deadline for submission abstract: 31st January 2020
Early-bird Registration: 28th February 2020
Conference date: 21st to 26th June 2020
Conference Venue: Seoul, Korea
Kind regards,
Ali Emrouznejad, Ana Camanho and Giovanna D’Inverno
Ali Emrouznejad (a.emrouznejad@aston.ac.uk )
Operations & Information Management Depatment,
Aston Business School
Aston University
Birmingham B4 7ET, UK
http://www.DataEnvelopment.com
DEA LinkedIn: https://www.linkedin.com/in/dataenvelopment/
Ana Camanho (acamanho@fe.up.pt)
Industrial Engineering and ManagementFaculty of Engineering,
University of Porto
Portugal
https://sigarra.up.pt/feup/en/func_geral.formview?p_codigo=241223
Giovanna D’Inverno (giovanna.dinverno@kuleuven.be)
Leuven Economics of Education Research
Faculty of Economics and Business
KU Leuven
Leuven, Belgium
https://www.kuleuven.be/wieiswie/en/person/00119559
DEA LinkedIn: https://www.linkedin.com/in/dataenvelopment/
All about DEA: http://www.DataEnvelopment.com
Prof. Dr. Guoliang Yang, Institutes of Science and Development, Chinese Academy of Sciences, P.R. China, glyang@casipm.ac.cn
Prof. Dr. Ali Emrouznejad, Aston Business School, Aston University, United Kingdom, a.emrouznejad@aston.ac.uk
Further details: please click here.
Journal of Management Science and Engineering (JMSE) is a scholarly journal that publishes scientific research on the latest improvement and practice of management science and engineering, an area emphasizing modeling, optimization, computation and data analytics in identifying and solving management problems, making business decisions, and managing risks in complex management systems.
In this issue of the Journal of Management Science and Engineering (JMSE), we invite high quality research papers on Data Envelopment Analysis (DEA) under Big Data.
The aim of this special issue is to publish state-of-the-art papers spanning all areas of analytical and empirical research. Specially, we attract high-quality papers related to new developments in DEA and its applications under big data for publishing in respect to fields listed below:
It will feature problem-oriented theory development and empirical analysis that has characterized DEA, including methodological advances and new models. We also consider Empirical assessment and successful applications of performance and efficiency analysis in the real world as long as the article provides significant new insights to advance the practices of DEA.
Important Dates
| November 30, 2021 | Submission Deadline (early submission recommended, referee process starts once the paper received, accepted papers will be published individually online as they are accepted) |
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Manuscript Preparation
Please refer to the Journal Information and Instruction for Author to get information on manuscript preparation. All manuscripts should be submitted online at https://mc03.manuscriptcentral.com/jmse, when submitting the manuscript please select the article type “Special Issue on New developments in DEA models and applications”
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.
Reviewing
Submitted papers will be peer-reviewed in the same manner as any other submission to a leading international journal. The major acceptance criterion for a submission is the quality and originality of the contribution.
About JMSE
Journal of Management Science and Engineering (ISSN 2096-2320; https://www.sciencedirect.com/journal/journal-of-management-science-and-engineering) is a peer-reviewed open access scholarly journal on all aspects of management science and engineering published quarterly online. JMSE is sponsored by National Natural Science Foundation of China (NSFC), Science Press and Tianjin University. JMSE collaborates with Elsevier through KeAi. All published papers are available on ScienceDirect.
Benefits of publishing with JMSE:
