We are pleased to invite you to submit a paper for presentation in our dedicated session, “Data Envelopment Analysis (DEA): Mathematical Foundations and Managerial Applications,” at the upcoming 5th IMA and OR Society Conference on the Mathematics of Operational Research. This event will take place from April 30 to May 2, 2025, at Aston University, UK.
Session Organizers:
Professor Ali Emrouznejad, University of Surrey, UK
Dr. Akram Dehnokhalaji, Aston University, UK
Dr. Majid Azadi, Aston University, UK
Session Description:
This session aims to bring together experts and researchers to discuss recent advances in Data Envelopment Analysis. We invite theoretical papers and innovative applications that explore DEA’s mathematical foundations and its relevance to managerial practices. Papers that address mathematical modeling for insights into benchmarking, resource allocation, operational performance, or DEA’s role in public policy are highly encouraged. Selected submissions will be considered for recommendation to the IMA Journal of Management Mathematics.
Submission Guidelines:
To submit, please email your paper title and abstract to:
DEA2024: International Conference on Data Envelopment Analysis, Delhi, India | November 18–21, 2024
We are excited to announce the call for papers for the upcoming book,
Title: Advancing DEA: Bridging Theory and Practice Editors: Ali Emrouznejad, Subhash Ray, Gokulnanda Patel Publisher: Springer (Lecture Notes in Operations Research)
Important Dates: Abstract Submission Deadline: September 15, 2024 Full Paper Submission Deadline: October 31, 2024 For more details:
Dear Colleagues, We cordially invite you to participate in the special track on ” AI for Sustainable Performance Analytics” as part of the 7th International Conference of Entrepreneurship for Sustainability & Impact (ESI). This conference will be held in Doha, Qatar, from November 23rd to 26th 2024. We welcome contributions from both academic and non-academic communities.
The “AI for Sustainable Performance Analytics” track encourages collaboration among researchers, practitioners, and policymakers to explore innovative approaches at the intersection of AI and sustainability analytics, emphasizing Performance Analytics. We invite contributions across theoretical frameworks, methodological advancements, case studies, and practical applications in areas like energy management, supply chain optimization, and environmental monitoring. Join us in shaping the conversation on leveraging AI for sustainable performance analytics, driving positive change towards a more resilient and environmentally conscious future.
We are especially interested in contributions that explore the integration of AI with mathematical modelling, including Data Envelopment Analysis (DEA), Best Worth Model (BWM), Analytic Hierarchy Process (AHP), machine learning algorithms, sustainability principles, decision-making unit performance, big data analytics, comprehensive sustainability assessments, synergy, practical case studies, and achieving sustainable outcomes.
Please ensure that your submissions adhere to the conference guidelines and formatting instructions provided on the conference website.
The conference will be recognizing outstanding contributions with the following awards: Best Paper Awards: the winner will be awarded the sum of $1,500 and the runner-up will be awarded $1,000. Best Case Study Awards: the winner will be awarded the sum of $1,500 and the runner-up will be awarded $1,000. Outstanding PhD Dissertation-Based Paper Award: the winner will be awarded the sum of $1,000. Best Master/MBA-Dissertation Based Paper Awards: the winner will be awarded the sum of $1,000.
Abstract submission deadline: August 10, 2024
Registration and Fees: All paper presentations will take place in person and on-site. At least one author must register and attend the conference in person to present. Qatar University supports the ESI 2024 conference by covering the registration fees for accepted papers. For more information and paper submission, please visit https://www.qu.edu.qa/conference/ESI2024. We look forward to your valuable contributions and active participation in the special track on ” AI for Sustainable Performance Analytics” at ESI 2024.
Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review, IMA Journal of Management Mathematics (doi).
Azadi, M., R, Kazemi Matin, A. Emrouznejad, and W. Ho(2023) Evaluating Sustainably Resilient Supply Chains: A Stochastic Double Frontier Analytic Model Considering NetZero. Annals of Operations Research (doi).
Taleb, M., , R. Khalid, A. Emrouznejad, R. Ramli (2023). Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero. Environment, Development and Sustainability (doi).
Emrouznejad A., G. L. Yang and G. R. Amin (2019) A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries, Journal of the Operational Research Society, 70 (7): 1079-1090. (doi). Production, 223 (20): 641-650. (doi).
Emrouznejad, A., G. L. Yang (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index, Energy Policy96: 397–410. (doi).
Emrouznejad, A., G. L. Yang (2016) A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries, Energy 115 (1): 840-856. (doi)
We are pleased to announce the organization of a Performance Analytics Workshop focusing on the intersection of Data Envelopment Analysis (DEA), Artificial Intelligence (AI), and Sustainability. This workshop is organized by the Centre for Business Analytics in Practice at the University of Surrey and aims to provide a platform for researchers, practitioners, and enthusiasts to exchange ideas, share insights, and discuss recent advancements in DEA methodologies (as well as parametric models such as SFA) and their applications in the context of sustainability and AI.
Theme: DEA, AI, and Sustainability
Topics of Interest Include, but are not Limited to:
Integration of AI techniques with DEA
Machine learning and deep learning approaches in DEA
Predictive analytics and forecasting in DEA applications
Big data analytics for DEA
Explainable AI techniques for interpreting DEA results
Optimization algorithms for enhancing DEA efficiency
Integration of clustering and classifications in DEA applications
Sustainability assessment using DEA
Modelig undesirable outputs in DEA
Applications of DEA in renewable energy, environmental management, and sustainable development
Challenges and opportunities in applying DEA to sustainable practices
Hybrid DEA-AI models for sustainability analysis
Case studies and best practices in integrating AI with DEA for sustainable outcomes
Submission Guidelines: Authors are invited to submit original research papers or presentations related to the workshop theme. Submissions should adhere to the following guidelines:
Abstracts should be no more than 300 words.
Please include a title, list of authors, affiliations, and contact information with your submission.
All submissions will undergo a peer-review process.
Abstract Submission Deadline: March 31, 2024 (Please CLICK HERE to submit an abstract)
Notification of Acceptance: April 15, 2024
Workshop Date: May 30-31, 2024
Registration
Once your paper has been accepted, the registration link will be emailed to you.
Registration Deadline: May 1, 2024 (Registration Fee: £50).
Early registration is encouraged as we have a limited number of availability. Registration will close after we receive 30 registrations.
If you have any questions about registration, please contact cbap@surrey.ac.uk
Program:
Day 1:
10.30-11.00: Registration 11.00-12.30: Opening + tutorials
12.30-13.30: Lunch 13.30-15.00: Paper presentations
15.00-15.30: Coffee break 15.30-17.00: Paper presentations
18.30-21.00: Dinner and Networking
Day 2: 09.00-10.30: Paper presentations
10.30-11.00: Coffee break 11.00-12.30: Paper presentations
12.30-13.30: Lunch 13.30-15.00: Paper presentations
15.00-15.30: Coffee break and closing session
Submission Process: Please CLICK HERE to submit an abstract.
Workshop Format: The workshop will consist of keynote presentations, paper presentations, panel discussions, and interactive sessions. We encourage active participation from all attendees to foster engaging discussions and collaborations.
Venue: Surrey Business School, University of Surrey, Guildford, UK
Workshop Chair: Ali Emrouznejad, Director of the Centre for Business Analytics in Practice, Surrey Business School, University of Surrey, Guildford, UK
Workshop Organizing Committee: Ali Emrouznejad, Mehdi Toloo, Dimitris Giraleas, Xun Zhou, Emma Clear
We look forward to your contributions and participation in the DEA Workshop on “Performance Analytics, AI, and Sustainability.” Together, let’s explore the transformative potential of DEA methodologies in advancing sustainability goals through the integration of AI techniques.
Sincerely,
Ali Emrouznejad, Mehdi Toloo, Dimitris Giraleas, Xun Zhou
DEA stream at 33rd EUROPEAN CONFERENCE ON OPERATIONAL RESEARCH
Abstract submission deadline: March 3, 2024 Conference dates: June 30th – July 3rd, 2024 Early-bird Registration Deadline: March 24, 2024 Registration Deadline: April 21, 2024
We are pleased to invite you to participate in the “Data Envelopment Analysis and its applications” Stream of the EURO2024 Conference. This conference will be held from June 30th to July 3rd 2024, at the Technical University of Denmark (DTU) in Copenhagen. Contributions from both academic and non-academic communities are welcomed.
This stream encompasses papers focusing on efficiency and productivity analysis and performance management. Both parametric and non-parametric papers will be considered. We particularly encourage submissions 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 real-world contexts, such as banking, healthcare, education, transportation, and others.
If you are interested in presenting, please submit your presentation title no later than March 3, 2024, using the following session code: “6b622598” at https://www.euro-online.org/conf/euro33/.
Call for papers: DEA2024: International Conference of Data Envelopment Analysis, BIMTECH, Noida, Delhi, India, from November 18 to 21, 2024
Dear Colleagues,
We are pleased to announce the DEA2024: International Conference of Data Envelopment Analysis, scheduled to take place at Birla Institute of Management Technology (BIMTECH Noida), Delhi, India, from November 18 to 21, 2024. This conference is jointly organized by BIMTECH Noida and the Centre for Business Analytics in Practice (CBAP) at Surrey Business School, UK.
Data Envelopment Analysis (DEA), developed by Charnes, Cooper, and Rhodes in 1978, is a non-parametric method assessing the efficiency of decision-making units (DMUs) with multiple inputs and outputs. Unlike parametric methods, DEA avoids prior assumptions on functional form or distribution. It establishes an empirical production frontier from observed DMU data, representing the pinnacle of input-output relationships. Each DMU is evaluated against this frontier to determine efficiency. DEA’s versatility spans economics, management science, operations research, and public sector evaluation, especially in cases involving multiple inputs/outputs or nonlinear relationships. Key advantages include non-parametricity, handling multiple inputs/outputs, benchmarking potential, and flexibility in addressing efficiency issues like cost, production, and allocative efficiency.
The theme of this conference is “Advancing DEA: Bridging Theory and Practice”. We cordially invite researchers, academics, and practitioners to submit original research papers across disciplines that explore DEA applications, model development, and its utilization to address policy matters.
Important Dates:
Workshops and PhD/DBA consortiums day: November 18, 2024
Conference date: November 19-21, 2024
Abstract Submission Deadline: June, 30, 2024
About BIMTECH, Nodia, Delhi, India
Birla Institute of Management Technology was established in 1988 under the aegis of the Birla Academy of Art and Culture, and supported by the Birla group of companies with the vision of developing ethical leaders with entrepreneurial mindset. BIMTECH is like a school where international business endeavors are also made. BIMTECH holds accreditations from AACSB, NBA, and NAAC. It provides a highly conducive academic environment, interaction with hard-working and industry-academia mix professors, proximity to the strategy makers of the industry and practitioners of the service and manufacturing companies, and exposure to international universities and companies.
We look forward to seeing you at the I Conference in Delhi, India!
With warm regards,
Ali Emrouznejad, University of Surrey, UK
Subhash Ray, University of Connecticut USA
Prabina Rajib, BIMTECH, Delhi NCR, India
Harivansh Chaturvedi, Chief Education Advisor to Birla Group of Institutions and Alternate President of Education Promotion Society for India (EPSI), India
Call for papers: Socio-Economic Planning Sciences – Special Issue: “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organisations
Guest Editors:
Victor Podinovski, Loughborough Business School, UK Grammatoula Papaioannou, Loughborough Business School, UK
Special issue information: Performance and efficiency assessment of the public sector organisations is an important and fast-growing area of research. Data envelopment analysis (DEA) is a major methodology used for the analysis of efficiency of public organisations. This is partly because of the complex nature of such organisations and the contexts in which they operate, and also because of the multidimensional nature of the resources used and services provided by them. This special issue will be a natural outlet for the papers seeking to develop novel mathematical models and methodologies for efficiency evaluation in the public sector. These methodologies will address ways to account for complex organisational structures, different socio-economic environments, different types of data, multiple perspectives of several stakeholders in the decision-making process, and other factors and considerations.
Scope This special issue will show development of new models and methodologies addressing common issues and complexities arising in applications of DEA to public sector organisations. These include, but are not limited to, complex organisational structures, differences in socio-economic environment, use of different types of data (e.g., categorical or ratio types), preferences of the stakeholders, quality characteristics of the services, equity and equality aspects of the assessment and decision-making processes, and so on. It is expected that papers in this special issue will cover the above topics, with fully developed or illustrative applications in such sectors as education, health care and various public services.
Evaluation criteria Submitted manuscripts are expected to advance the modelling of complex evaluation scenarios in the public sector applications, by making a noticeable contribution to either theory or methodology of DEA. The main evaluation criteria will be novelty of the models and methodologies, as well as their sound justification and interpretation in the discussed application context. The writing should be clear, concise and inspiring. Straightforward applications of known DEA techniques to a particular sector, without clear modelling contributions, and also purely mathematical derivations, without a clear practical motivation, may not be a good fit for this special issue.
Manuscript submission information: Planned timeline Manuscript submission opens: 01 December 2023 Manuscript submission closes: 30 June 2024
Submission guidelines Please submit your manuscript through the journal’s submission system, following the guidelines available here. When submitting, please make sure that you select Article Type: “VSI: Data envelopment analysisr”. All submitted manuscripts will be rigorously reviewed according to the editorial policy of Socio-Economic Planning Sciences and in line with the scope of this Special Issue.
Ali Emrouznejad, Professor and Chair in Business Analytics, Director, Centre for Business Analytics in Practice, Surrey Business School, Guildford, UK
Panagiotis (Panos) Zervopoulos, Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE
John Rice, Professor and Director of the DBA Program, College of Business Administration, University of Sharjah, Sharjah, UAE
The College of Business Administration (CoBA) at the University of Sharjah (UAE) and the Centre for Business Analytics (CBAP) at Surrey Business School, UK, will be co-organizing the much-anticipated International Conference on Business Analytics in Practice in January 2024. We are pleased to announce a special issue on “Leveraging Business Analytics and AI in Consumer Behaviour Analysi” in the IMA Journal of Management Mathematics (IMAMAN), published by Oxford University Publisher.
Overview:
In today’s data-driven world, business analytics plays a pivotal role in comprehending complex systems and facilitating well-informed decision-making. This special issue aims to foster a collaborative platform for innovative research that explores the intersection of business analytics, artificial intelligence (AI), and consumer behaviour analysis. We cordially invite researchers, academicians, and industry practitioners to contribute their expertise through original research articles, intriguing case studies, and insightful review papers.
Objective:
The primary objective of this special issue is to showcase the cutting-edge advancements, state-of-the-art methodologies, and practical applications in leveraging business analytics and AI techniques for analysing consumer behaviour. We enthusiastically welcome high-quality contributions that present novel insights, empirical studies, theoretical models, and real-world applications, thereby enhancing our collective understanding of consumer behaviour analysis and decision-making processes.
Scope and Topics:
For this special issue, we invite papers related to the following topics (but not limited to):
Application of machine learning, deep learning, and AI algorithms in consumer behaviour analysis.
Predictive analytics for consumer behaviour modelling and forecasting.
Consumer segmentation and profiling using business analytics techniques.
Recommender systems and personalized marketing strategies.
Sentiment analysis and opinion mining in consumer reviews and social media data.
Social network analysis and influence on consumer behaviour.
Pricing and revenue management based on consumer behaviour analytics.
Consumer churn prediction and proactive retention strategies.
Visualization techniques for consumer behaviour analytics.
Consumer lifetime value estimation and optimization.
Please note: Manuscripts on the above topics should make a clear and unique contribution to Operations Research (OR) through relevant references to OR literature and must contain a section or sub-section on the managerial implications and impact of the research for real-world practice.
Instructions for Authors can be found at:
Authors should submit a cover letter and a manuscript by December 31, 2023, 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 website, when submitting, please select the special issue’s title “CBAP- Leveraging Business Analytics and AI in Consumer Behaviour Analysis”, to ensure that it will be reviewed for this special issue (https://mc.manuscriptcentral.com/imaman).
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Papers will be subject to a strict review process managed by the Guest Editors and accepted papers will be published online individually, before print publication.
Important Dates:
31 December 2023:
Submission deadline. Submit at: https://mc.manuscriptcentral.com/imaman, (early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2024:
Notification of status and acceptance of paper.
31 July 2024:
Revised manuscripts.
31 October 2024:
Final version of paper.
Guest Editors
Ali Emrouznejad Professor and Chair in Business Analytics, Surrey Business School, University of Surrey, Guildford, UK, a.emrouznejad@surery.ac.uk
Panagiotis (Panos) Zervopoulos Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE, pzervopoulos@sharjah.ac.ae
John Rice Professor and Director of the DBA Program, College of Business Administration, University of Sharjah, Sharjah, UAE jrice@sharjah.ac.ae
Ali Emrouznejad, Professor and Chair in Business Analytics, Director, Centre for Business Analytics in Practice, Surrey Business School, Guildford, UK
Dima Rachid Jamali, Professor and Dean of the College of Business Administration at the University of Sharjah, Sharjah, UAE
Panagiotis (Panos) Zervopoulos, Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE
The College of Business Administration (CoBA) at the University of Sharjah (UAE) and the Centre for Business Analytics (CBAP) at Surrey Business School, UK, will be co-organizing the much-anticipated International Conference on Business Analytics in Practice in January 2024. We are pleased to announce a special issue on “Analytical Models and AI for Sustainable Development: Enhancing Decision-Making” in the Journal of Socio-Economics Planning Sciences (SEPS).
Business analytics plays a crucial role in understanding complex systems and enabling well-informed decision-making. By incorporating artificial intelligence techniques such as machine learning, predictive modelling, and optimization, along with methodologies like Data Envelopment Analysis and Analytical Hierarchy Process, these models excel in handling vast amounts of data, recognizing patterns, and delivering actionable recommendations to decision-makers.
Sustainable development is a global imperative that addresses present needs while safeguarding the interests of future generations. It encompasses environmental, social, and economic dimensions, necessitating holistic approaches to decision-making.
The objective of this special issue is to foster discussions, exchange innovative ideas, and advance the practical applications of business analytics and AI in the realm of sustainable development. Through the dissemination of high-quality research and the exploration of policy implications, we aim to underscore the transformative potential of these disciplines, thereby enhancing decision-making effectiveness in pursuit of sustainable development goals.
Scope and Topics:
We invite researchers, academics, and practitioners to submit original research papers, case studies, and reviews related to the following topics (but not limited to):
Applications of business analytics and AI techniques in sustainable development,
Decision support systems integrating analytical models and AI for sustainable development,
Predictive models for analysing the impact of AI on sustainable development,
Optimization techniques for sustainable decision-making,
Ethical considerations in the use of AI for sustainable development,
AI-driven solutions for environmental conservation and resource management,
Novel case studies demonstrating successful implementation of analytical models and AI in sustainable development projects,
Policy implications and guidelines for utilizing business analytics and AI in decision-making processes for sustainable development.
Please note: Manuscripts on the above topics should make a clear and unique contribution to Operations Research (OR) through relevant references to OR literature.
Instructions for Authors can be found at:
Authors should submit a cover letter and a manuscript by December 31, 2023, 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 website, when submitting, please select the special issue’s title “CBAP- Enhancing Decision-Making”, to ensure that it will be reviewed for this special issue (https://www.editorialmanager.com/seps/default2.aspx).
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Papers will be subject to a strict review process managed by the Guest Editors and accepted papers will be published online individually, before print publication.
Important Dates
31 December 2023:
Submission deadline: submit at: https://www.editorialmanager.com/seps/default2.aspx (early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2024:
Notification of status and acceptance of paper
31 July 2024:
Revised manuscripts
31 October 2024:
Final version of paper
Guest Editors
Ali Emrouznejad Professor and Chair in Business Analytics, Surrey Business School, University of Surrey, Guildford, UK, a.emrouznejad@surery.ac.uk
Dima Rachid Jamali Professor and Dean of the College of Business, Administration at the University of Sharjah, Sharjah, UAE djamali@sharjah.ac.ae
Panagiotis (Panos) Zervopoulos Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE, pzervopoulos@sharjah.ac.ae
Emrouznejad A. & E. Cabanda (2014) Managing Service Productivity : Uses of Frontier Efficiency Methodologies and MCDM for Improving Service Performance, Springer Order at Amazon – Download GAMS codes
