Call for papers

Guest Editors 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:

Guest Editors

Call for papers

Guest Editors 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

Guest Editors

Guest Editors

Ali Emrouznejad, Surrey Business School, University of Surrey, UK
Victor Podinovski^* Loughborough Business School, Loughborough University, UK

	New Developments in Data Envelopment Analysis and its Applications in Memoriam of Prof. Rajiv Banker (1953–2023)
	http://deazone.com/en/anor-rajivbanker

Professor Rajiv Banker passed away on March 1, 2023. As an exceptional scholar in the field of Data Envelopment Analysis (DEA), Professor Banker made unparalleled contributions to the field and the wider academic community. His outstanding research, expertise, and unwavering dedication to advancing the field of DEA will be remembered for generations to come.

Professor Banker’s legacy will undoubtedly live on through his published works and the countless students and colleagues he mentored and inspired. This special issue seeks to publish papers that build directly or indirectly on Rajiv Banker’s work on Data Envelopment Analysis (DEA). We are especially looking for papers that develop new ideas in DEA.

We welcome submissions on a wide range of topics related to DEA, including but not limited to:

• Methodology and models
• Applications in finance, healthcare, education, agriculture and other sectors
• DEA approaches incorporating AI, machine learning, big data

We also encourage submissions that provide new insights into Professor Banker’s work, or that pay tribute to his contributions to the field.  

Submission Guidelines:

Authors should submit a cover letter and a manuscript by the deadline, 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.

Instructions for Authors:

When submitting your full paper, please follow the author guidelines and formatting requirements provided on the Journal’s website. When prompted for the article type, please select Original Research. On the Additional Information screen, you will be asked if the manuscript belongs to a special issue, please choose yes and the special issue’s title, In Memoriam of Professor Rajiv Banker on the New Developments in Data Envelopment Analysis and Its Applications, to ensure that it will be reviewed for this issue.

Papers should be original research articles that have not been published or submitted for publication elsewhere.

Important Date

Guest Editors

Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intellgence and Machine Learning

Special issue on: Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning

Journal: Machine Learning with Applications  

Guest Editors:
Professor Ali Emrouznejad, Director of Centre for Business Analytics in Practice, Surrey Business School, University of Surrey, Guildford, Surrey, UK, a.emrouznejad@surrey.ac.uk

Professor Vincent Charles, University of Bradford, Bradford, UK, c.vincent3@bradford.ac.uk

Details: https://bit.ly/MLWA-SearchEngine

Intelligent Search Engines

In recent years, intelligent search engines have transformed the way we search, discover, and consume information online by utilising Artificial Intelligence (AI) and Machine Learning (ML) technologies to deliver search results that are more precise, relevant, and personalised. While traditional search engines rely on predefined algorithms based on keyword matching and ranking factors that can often result in irrelevant or incomplete search results, intelligent search engines use AI and ML algorithms to comprehend the intention behind a user’s search query and offer more accurate, relevant, and personalised results, leading to more efficient and effective information retrieval, and consequently, increased user adoption. Natural Language Processing (NLP), Natural Language Understanding (NLU), and analysis of various signals such as search history, location, device type, preferences, and user behaviour are used by intelligent search algorithms to better understand what users are looking for. Moreover, existing AI- and ML-based search engines often exhibit biases, which are a result of the training data, the algorithms and sample used, and the user behaviour, among others. Hence, developing new AI- and ML-based search engines that are unbiased, transparent, inclusive, and ethical is crucial for ensuring fair and equitable access to information, and require a multi-faceted approach that involves careful attention to the design, development, and evaluation of such intelligent search engines. As the complexity of intelligent search engines increases, it is also important to consider issues related to the privacy and security of users’ sensitive personal data collected by the engines, along with transparency and accountability issues. Thus, developing intelligent search engines with enhanced transparency, privacy, and security systems is imperative.

The aim of this special issue on “Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning” is to bring together cutting-edge research on the latest advancements in intelligent search engines and their potential to revolutionise the search experience for users. We welcome researchers and practitioners to submit their contributions and share their innovative research on the latest advancements in intelligent search engines.

Scope of the Special Issue: Topics include, but are not limited to:

• AI and ML algorithms for search relevance and personalisation
• AI and ML algorithms for search engine optimisation
• AI and ML algorithms for more inclusive and equitable search engines
• AI and ML algorithms for enhancing the transparency, privacy, and security of search engines
• Recommender systems for search engines
• NLP and NLU techniques for intelligent search
• Semantic web and knowledge graphs for intelligent search
• User behaviour analysis for personalised search
• Search intent and context analysis
• Conversational search and chatbots
• Integration of intelligent search engines with other technologies, such as voice search and virtual assistants
• Use cases and real-world applications of intelligent search engines in various domains, such as e-commerce, finance, marketing and advertising, healthcare, education, travel and hospitality, and government and public services, among others
• Evaluation metrics for intelligent search, including new evaluation metrics for assessing the fairness and inclusivity of search engines

We welcome both theoretical and practical contributions from academia and industry. All submitted papers will be peer-reviewed and selected based on their originality, significance, and technical quality.

About MLWA journal and Publication fee:

Although the journal Machine Learning with Applications is an Open Access journal, publication fees will be waived for the articles published in this Special Issue. More on the MLWA journal can be found at: https://www.sciencedirect.com/journal/machine-learning-with-applications.

Important Dates:

• Submission deadline: August 31, 2023
• Notification of first round of review results: October 31, 2023
• Submission of revised papers: November 20, 2023
• Final acceptance decisions notifications: December 21, 2023

Submission Guidelines:

All papers must be submitted through the journal’s online submission system. Please follow the journal’s author guidelines for formatting and other details at: https://www.editorialmanager.com/mlwa/.

When submitting your manuscript please select the name of the special issue: “VSI: Intelligent Search Engines”

Details: http://DEAzone.com/MLWA-SearchEngine

Why publish in this Special Issue?

• Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
• Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
• Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
• All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
• Learn more about the benefits of publishing in a special issue:
   https://www.elsevier.com/authors/submit-your-paper/special-issues 

Call for Papers: Papers will be considered for the conference based on a 300 word abstract for oral presentation. Abstracts should be submitted by Monday 19 December 2022

Submission Info:
https://ima.org.uk/20140/4thmathsofor/

You can submit your paper to the IMA Journal of Management Mathematics (IMAMAN). https://academic.oup.com/imaman