University of California, Irvine
Discussion
Started 10 November 2024
Call for Chapters: Data Science for Decision Makers: Leveraging Business Analytics, Intelligence, and AI for Organizational Success
Publisher:
Emerald Publishing
Book Title:
Data Science for Decision Makers: Leveraging Business Analytics, Intelligence, and AI for Organizational Success
Editors:
· Dr. Miltiadis D. Lytras, The American College of Greece, Greece
· Dr. Lily Popova Zhuhadar, Western Kentucky University, USA
Book Description
As the digital landscape evolves, the integration of Business Analytics (BA), Business Intelligence (BI), and Artificial Intelligence (AI) is revolutionizing Decision-Making processes across industries. Data Science for Decision Makers serves as a comprehensive resource, exploring these fields' convergence to optimize organizational success. With the continuous advancements in AI and data science, this book is both timely and essential for business leaders, managers, and academics looking to harness these technologies for enhanced Decision-Making and strategic growth.
This book combines theoretical insights with practical applications, addressing current and future challenges and providing actionable guidance. It aims to bridge the gap between advanced analytical theories and their applications in real-world business scenarios, featuring contributions from global experts and detailed case studies from various industries.
Book Sections and Chapter Topics
Section 1: Foundations of Business Analytics and Intelligence
· The evolution of business analytics and intelligence
· Key concepts and definitions in BA and BI
· Data management and governance
· Analytical methods and tools
· The role of descriptive, predictive, and prescriptive analytics
Section 2: Artificial Intelligence in Business
· Overview of AI technologies in business
· AI for data mining and pattern recognition
· Machine learning algorithms for predictive analytics
· Natural language processing for business intelligence
· AI-driven decision support systems
Section 3: Integrating AI with Business Analytics and Intelligence
· Strategic integration of AI in business systems
· Case studies on AI and BI synergies
· Overcoming challenges in AI adoption
· The impact of AI on business reporting and visualization
· Best practices for AI and BI integration
Section 4: Advanced Analytics Techniques
· Advanced statistical models for business analytics
· Deep learning applications in BI
· Sentiment analysis and consumer behavior
· Realtime analytics and streaming data
· Predictive and prescriptive analytics case studies
Section 5: Ethical, Legal, and Social Implications
· Data privacy and security in AI and BI
· Ethical considerations in data use
· Regulatory compliance and standards
· Social implications of AI in business
· Building trust and transparency in analytics
Section 6: Future Trends and Directions
· The future of AI in business analytics
· Emerging technologies and their potential impact
· Evolving business models driven by AI and analytics
· The role of AI in sustainable business practices
· Preparing for the next wave of digital transformation
Objectives of the Book
· Provide a deep understanding of AI’s role in transforming business analytics and intelligence.
· Present strategies for integrating AI to enhance Decision-Making and operational efficiency.
· Address ethical and regulatory considerations in data analytics.
· Serve as a practical guide for executives, data scientists, and academics in a data-driven economy.
Important Dates
· Chapter Proposal Submission Deadline: 25 November 2024
· Full Chapter Submission Deadline: 31 January 2025
· Revisions Due: 4 April 2025
· Submission to Publisher: 1 May 2025
· Anticipated Publication: Winter 2025
Target Audience
· Business Professionals and Executives: Seeking insights to improve Decision-Making.
· Data Scientists and Business Analysts: Expanding their toolkit with AI and analytics techniques.
· Academic Researchers and Educators: Using it as a resource for teaching and research.
· IT and MIS Professionals: Enhancing their understanding of BI systems and data management.
· Policy Makers and Regulatory Bodies: Understanding the social and regulatory impacts of AI and analytics.
Keywords
· Artificial Intelligence
· Business Analytics
· Business Intelligence
· Data Science
· Decision-Making
Submission Guidelines
We invite chapter proposals that align with the outlined sections and objectives. Proposals should include:
· Title
· Authors and affiliations
· Abstract (200-250 words)
· Keywords
Contact Information
Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com
Dr. Lily Popova Zhuhadar: lily.popova.zhuhadar@wku.edu
All replies (2)
Miltiadis D. Lytras I emailed an abstract and a chapter proposal just now. Looking forward to collaborating together.
Similar questions and discussions
Call for Papers - PQMI 2024
Anandi Karunaratne
CALL FOR PAPERS - PQMI 2024: http://processquerying.com/pqmi2024/
The 9th International Workshop on Process Querying, Manipulation, and Intelligence
Copenhagen, Denmark, October 14, 2024
To be held in conjunction with ICPM 2024: https://icpmconference.org/2024/
==========================================================
SELECTED PAPERS WILL BE INVITED FOR A SPECIAL ISSUE IN THE PROCESS SCIENCE JOURNAL.
==========================================================
Dear colleagues,
We invite you to submit your recent work to the 9th International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2024) and to distribute this invitation among your colleagues and research students.
PQMI 2024 is organized in conjunction with the 6th International Conference on Process Mining (ICPM 2024), set to take place at the Technical University of Denmark in Copenhagen from October 14 to 18, 2024.
The PQMI workshop endeavors to offer a platform facilitating scholarly discussion and knowledge dissemination within the research and professional community.
The Call for Papers is accessible here: http://processquerying.com/pqmi2024/.
Best regards,
PQMI 2024 Organizers
-----------------------------------------------------------------------------------
***** SUBMISSION INSTRUCTIONS *****
Prospective authors are invited to submit papers for presentation in any of the areas listed above. The paper selection will be based on the relevance of a paper to the main topics and on its quality and potential to generate relevant discussion. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer (http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0). Submissions must be in English and must not exceed 12 pages (including figures, bibliography, and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the main topics (preferably using the list of topics above), clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. Papers should be submitted electronically as a self-contained PDF file via the submission system (https://easychair.org/conferences/?conf=icpm2024). When submitting your paper, in the submission system, please select the name of the workshop track, Workshop: Process Querying, Manipulation, and Intelligence. Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop.
***** PUBLICATION *****
All workshop papers will be published by Springer as a post-workshop proceedings volume in the Lecture Notes in Business Information Processing (LNBIP) series. These proceedings will be made available to all registered participants approximately four months after the workshop, while preliminary proceedings will be distributed during the workshop. For each accepted paper, at least one author must register for the workshop and present the paper.
***** SPECIAL ISSUE *****
Authors of selected papers in PQMI 2024 will be invited to submit revised and extended versions of their work for a special issue in the Process Science journal. Upon acceptance, the journal will offer an open-access fee waiver.
***** BEST PAPER AWARD *****
One accepted paper will receive the best paper award sponsored by the ICPM 2024 conference organizers. The winner will be selected based on the paper reviews. If several papers receive similar review scores, the workshop organizers will select the award winner.
***** KEY DATES *****
Abstract submission deadline: 8 August 2024
Paper submission deadline: 15 August 2024
Acceptance notification: 2 September 2024
Camera-ready submission: 23 September 2024
Workshop: 14 October 2024
***** ORGANIZERS *****
Artem Polyvyanyy, The University of Melbourne
Claudio Di Ciccio, Utrecht University
Antonella Guzzo, University of Calabria
Arthur H. M. ter Hofstede, Queensland University of Technology
***** PROGRAM COMMITTEE (TENTATIVE) *****
Eugenio Vocaturo, University of Calabria
Seppe vanden Broucke, Katholieke Universiteit Leuven
Minseok Song, Pohang University of Science and Technology
Stefan Schönig, University of Regensburg
Chun Ouyang, Queensland University of Technology
Fabrizio Maria Maggi, Free University of Bozen-Bolzano
Agnes Koschmider, University of Bayreuth
Timotheus Kampik, SAP, Umeå University
Anna Kalenkova, The University of Adelaide
Kanika Goel, James Cook University
Luciano García-Bañuelos, Tecnologico de Monterrey
Jochen De Weerdt, KU Leuven
Ahmed Awad, The British University in Dubai
Abel Armas Cervantes, The University of Melbourne
**** CONTACT DETAILS ****
Inquiries regarding PQMI 2024 can be addressed to workshop [at] processquerying [dot] com
[Call for paper]2025 4th International Conference on Computer, Artificial Intelligence and Control Engineering (CAICE 2025) | Hefei, China
Kiuling Lai
2025 4th International Conference on Computer, Artificial Intelligence and Control Engineering (CAICE 2025) is to be held in Hefei, China in January 10-12, 2025.
Conference Website: https://ais.cn/u/YNfu22
---Call for papers---
The topics of interest for submission include, but are not limited to:
(I) Computer
· Edge Computing and Distributed Cloud
· Architecture, Storage and Virtualization
· Cloud Computing Technologies
· Deep Learning and Big Data
· Computer networks
......
(II) Artificial Intelligence
· Artificial Intelligence Applications
· Pattern Recognition and Machine Learning
· AI Languages and Programming Techniques
· Cybersecurity and AI
· Artificial Intelligence and Evolutionary Algorithms
......
(III) Control Engineering
· Automatic Control Principles and Technology
· Design, modeling and control of precision motion systems
· Vibration analysis and control
· Fuzzy control and its applications
· Fractional order system and control
· Flexible robotics, soft robotics
· Smart automation
---Publication---
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in ACM conference proceeding, and submitted to EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: December 19, 2024
Notification Date: December 25, 2024
Registration Date: December 29, 2024
Conference Dates: January 10-12, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
[Call for paper]2025 International Conference on Artificial Intelligence and Product Design (AIPD 2025) | Malaysia
Kiuling Lai
2025 International Conference on Artificial Intelligence and Product Design (AIPD 2025) will be held in Malaysia from February 14-16, 2025.
Conference Website: https://ais.cn/u/vEV3qq
---Call for papers---
The topics of interest for submission include, but are not limited to:
Computer science and Technology
Intelligent science and technology
Robot engineering
Software engineering
Data science and Big Data technology
Mechanical design and automation
Pattern recognition and intelligent systems
Robot technology and application
Computer vision and image processing
Product design management
User centered product design
Sustainability considerations in product design
Application of innovative materials in product design
......
---Publication---
All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers will be published in the Conference Proceedings, and submitted to EI Compendex, Scopus for indexing.
---Important Dates---
Full Paper Submission Date: January 16, 2025
Registration Date: January 26, 2025
Final Paper Submission Date: February 06, 2025
Conference Dates: February 14-16, 2025
--- Paper Submission---
Please send the full paper(word+pdf) to Submission System:
CALL FOR CHAPTERS Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business
Miltiadis D. Lytras
Publishers: Emerald Publishing
CALL FOR CHAPTERS
Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business
Editors
Dr. Miltiadis D. Lytras, Effat University, Saudi Arabia
Dr. Andreea Claudia Șerban, Bucharest University of Economic Studies, Romania
Dr. Patricia Ordóñez de Pablos, Universidad de Oviedo, Spain
Dr. Afnan Alkhaldi, Arab Open University, Kuwait
Dr. Sawsan Malik, Arab Open University, Kuwait
Book Description
In an era defined by rapid technological advances and shifting market dynamics, the need for digital transformation is essential for business sustainability. Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business offers a comprehensive exploration of contemporary management theories and practices, emphasizing their alignment with digital innovation.
This book equips business leaders, managers, and academics with actionable insights to embrace emerging technologies, enhance operational performance, and gain a sustainable competitive edge. It bridges theoretical foundations with practical applications, addressing crucial topics such as operational efficiency, digital engagement strategies, and anticipating future trends.
With case studies and best practices, the book offers readers a deep understanding of how digital transformation can become a cornerstone for resilience and growth.
Book Sections and Chapter Topics
Foundations of Modern Management
• Overview of Modern Management Theories
• Principles of Effective Leadership in a Digital Era
• Cultural Change and Digital Transformation
• Strategic Planning and Execution in the Digital Age
Enhancing Business Performance with Technology
• Leveraging Big Data and Analytics
• Innovations in Customer Relationship Management
• Digital Marketing and Social Media Integration
• Operational Efficiency Through Automation
Digital Transformation Strategies
• Blueprint for Digital Transformation
• Technology Adoption and Integration Challenges
• Case Studies: Successful Digital Transformations
• Measuring the Impact of Digital Initiatives
Future Trends and Sustainability
• Emerging Technologies and Their Business Implications
• Sustainability and Ethics in Digital Business
• Building Resilient Business Models
• Leadership in a Future Shaped by AI
Objectives of the Book
• Provide a holistic view of digital transformation’s role in enhancing business performance.
• Offer a practical framework combining traditional management with digital innovation.
• Highlight the critical importance of ethics and sustainability in digital transformation.
• Serve as a guide for business leaders and managers to effectively navigate digital transformation.
Important Dates
• Chapter Proposal Submission Deadline: 25 November 2024
• Notification of Proposal Acceptance: 5 December 2024
• Full Chapter Submission Deadline: 31 January 2025
• Revisions Due: 4 April 2025
• Submission to Publisher: 1 May 2025
• Anticipated Publication: Winter 2025
Target Audience
• Business Executives and Managers: Insights on strategic integration of digital technologies.
• Digital Transformation Consultants: Advanced strategies and best practices.
• IT Professionals and Technology Managers: Aligning technology solutions with business goals.
• Academics and Students in Business and Technology: Supporting education on digital transformation.
Keywords
• Digital Transformation
• Strategic Management
• Business Innovation
• Operational Efficiency
• Change Management
• Agile Management
• Internet of Things (IoT)
• Cybersecurity
• Sustainability
• Artificial Intelligence (AI)
Submission Guidelines
We invite chapter proposals aligned with the sections and objectives outlined in this CFC. Proposals should include:
• Title
• Authors and Affiliations
• Abstract: 200-250 words
• Keywords
Contact Information
Dr. Miltiadis D. Lytras: miltiadis.lytras@gmail.com
Dr. Andreea Claudia Șerban:andreea.serban@economie.ase.ro
Dr. Patricia Ordóñez de Pablos: patriop@uniovi.es
Dr. Afnan Alkhaldi: aalkhaldi@aou.edu.kw
Dr. Sawsan Malik: smalik@aou.edu.kw
Call for Chapters: Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business
Miltiadis D. Lytras
Call for Chapters EDITED VOLUME IN EMERALD PUBLISHING
Future-Proof: Innovative Approaches to Management and Digital Transformation in Modern Business
Important Dates:
- Submission of Chapter Proposals: November 30, 2024
- Full Chapter Submission Due: February 15, 2025
- Revisions Due: April 15, 2025
- Publication: Q4 2025
Editors:
Dr. Miltiadis D. Lytras, PhD
- Affiliations: Effat University, Kingdom of Saudi Arabia; Deree College - The American College of Greece, Greece;
- Biography: Dr. Miltiadis D. Lytras is an expert in advanced computer science, management, and knowledge management. He has co-authored over 120 high-impact factor papers and has edited more than 100 volumes/books on topics like digital transformation, smart cities, and technology-enabled innovation.
Dr. Andreea Claudia Șerban, PhD
- Affiliations: Professor at the Department of Economics and Economic Policies, Faculty of Theoretical and Applied Economics; Director of Doctoral School of Economics, Bucharest University of Economic Studies.
- Biography: Professor Andreea Claudia Șerban holds a PhD in Economics and has an extensive publication record in sustainable development, knowledge economy, and demographic issues. She serves as Associate Editor for international journals and has contributed significantly to economic research.
Dr. Patricia Ordóñez de Pablos
- Affiliation: Facultad de Economia y Empresa, Universidad de Oviedo, Spain
- Biography: Dr. Patricia Ordóñez de Pablos is a professor specializing in knowledge management, healthcare, and technological disruption. She has published over 125 papers and 35 books and holds editorial roles in various high-impact journals.
Dr. Afnan Alkhaldi
- Affiliation: Arab Open University - Kuwait Branch
- Biography: Dr. Afnan Alkhaldi is an expert in smart cities, eGovernance, and operational efficiencies, with nearly a decade of experience, and has contributed significantly to Kuwait's smart city projects, including Al-Hareer City.
Dr. Sawsan Malik
- Affiliation: Assistant Professor, Arab-Open University - Kuwait Branch
- Biography: Dr. Sawsan Malik specializes in smart city management, circular economy, and digital transformation, serving as a peer reviewer for numerous esteemed academic journals.
Introduction to the Theme
The digital era has transformed business operations and management practices, necessitating innovative strategies to stay competitive. This book explores how digital transformation reshapes modern management, leveraging advanced technologies, AI, and sustainable practices to drive business performance and growth.
Objectives of the Book
- Understand Modern Management in the Digital Era: Explore how management theories and practices adapt to the digital age.
- Identify Key Digital Transformation Strategies: Examine how emerging technologies, AI, and Big Data enhance business operations.
- Present Case Studies and Best Practices: Provide real-world insights into successful digital transformation initiatives.
- Discuss Future Trends and Ethical Considerations: Analyze the impact of future technologies on sustainable business practices.
Indicative Topics and Sections
Section 1: Foundations of Modern Management
- Overview of Modern Management Theories: Examine the evolution and current trends in management theory, highlighting the shift towards more agile and digitally-focused strategies.
- Principles of Effective Leadership in a Digital Era: Discuss the key qualities and practices of successful leaders who navigate and drive digital transformation.
- Cultural Change and Digital Transformation: Explore how organizational culture influences and is influenced by digital transformation initiatives.
- Strategic Planning and Execution in the Digital Age: Analyze the strategic planning process and how it must adapt to incorporate digital technologies effectively.
Section 2: Enhancing Business Performance with Technology
- Leveraging Big Data and Analytics: Detail how big data and analytics drive business intelligence and performance.
- Innovations in Customer Relationship Management: Discuss technological advancements that enhance customer engagement and retention strategies.
- Digital Marketing and Social Media Integration: Explore integrating digital marketing strategies and social media for enhanced brand presence and user engagement.
- Operational Efficiency Through Automation: Examine the role of automation and AI in improving operational processes and efficiencies.
Section 3: Digital Transformation Strategies
- Blueprint for Digital Transformation: Provide a step-by-step guide for planning and executing a digital transformation strategy.
- Technology Adoption and Integration Challenges: Explore common hurdles in adopting new technologies and strategies to overcome them.
- Case Studies: Successful Digital Transformations: Present multiple case studies from various industries where digital transformation has led to substantial business growth and innovation.
- Measuring the Impact of Digital Initiatives: Discuss methods for assessing the effectiveness and ROI of digital transformation efforts.
Section 4: Future Trends and Sustainability
- Emerging Technologies and Their Business Implications: Predict future technological trends and their potential impacts on business strategies.
- Sustainability and Ethics in Digital Business: Explore how businesses can pursue digital growth while maintaining ethical practices and promoting sustainability.
- Building Resilient Business Models: Offer insights on creating adaptable and resilient business models that can withstand technological shifts.
- Leadership in a Future Shaped by AI: Consider the evolving role of leadership as artificial intelligence becomes a central player in business strategies.
Submission Guidelines
Interested authors are invited to submit a two-page chapter proposal outlining the chapter's goals, methodology, and expected outcomes by November 30, 2024. Full chapters are due by February 15, 2025. All submissions will undergo a double-blind peer-review process.
Contact Information
- Professor Miltiadis D. Lytras: miltiadis.lytras@gmail.com
- Professor Andreea Claudia Șerban: andreea.serban@economie.ase.ro
We look forward to receiving your contributions to this insightful volume on innovative approaches to management and digital transformation.
Related Publications
In this paper, the authors describe a student article writing project run by a Professor in Applied Business Analytics at Boston University’s Metropolitan College. Through this project, students write and self-publish articles on various topics related to data science. The project enables students to build and refine their data modeling skills, and...
The paper concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for developing modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to dis...