[AISWorld] Call for case studies

[Luca Iandoli]

Would it be possible to share this call for case studies?
Thank you

Book Title: Digital entrepreneurship in an AI, Data, and algorithm-driven economy
Publisher: Edward Elgar (UK), https://www.e-elgar.com (publication expected by Spring 2026 both in print and online)
Editors: Dr. Carmine P. Gibaldi; gibaldic at stjohns.edu<mailto:gibaldic at stjohns.edu> or Dr. Luca Iandoli: iandolil at stjohns.edu<mailto:iandolil at stjohns.edu>


Deadline for Submission: Dec 30th, 2024

Summary and scope

Artificial intelligence (AI) and data-driven business opportunities are emerging as transformative forces in today's dynamic business landscape. AI, data, and algorithms are reshaping industries, redefining business strategies, and opening new avenues for entrepreneurial growth and innovation. As AI continues to evolve and be democratized, its impact on entrepreneurship is profound, creating opportunities and challenges for businesses of all sizes.
We invite you to contribute to our upcoming book, exploring how an economy driven by data, algorithms, and intelligent machines influences entrepreneurship. We seek case studies highlighting how small businesses and startups use AI and data science to drive growth, innovate, and navigate the challenges of modern markets. The cases will serve as valuable resources for teaching and learning in business education, particularly in entrepreneurship, innovation, strategy, and technology management courses.

This book (serving as a second volume to Cases on Digital Entrepreneurship: How Digital Technologies are Transforming the Entrepreneurial Process in Existing Businesses and Start-ups ) follows our first book addressing digital entrepreneurship and will provide case studies in various industries of entrepreneurial venture that have used and are using AI to drive their businesses to success.
The cases in this book will serve as teaching and learning tools, not only for Professors and students, but also for entrepreneurs themselves.  Cases will be drawn from various sectors, parts of the world, on ventures of different size (micro, small and medium) and type (small businesses, start-ups).
We seek contributions on how AI and data impact any of the spheres of entrepreneurial behavior and action, such as:

1 - Enhancing Decision-Making with Data & AI
2- Automation and Operational Efficiency
3 - Personalization and Customer Experience
4 - Innovation and Product Development (AI as a product and as an enabler)
5 - Optimizing Marketing and Advertising
6 - Supply Chain Management and Logistics
7 - Risk Management and Cybersecurity
8 – AI & Data-driven Business Models
9 - Ethical Considerations and Human-AI Collaboration
10 – Data and AI literacy and the new digital divide

Submission guidelines and important dates
We are open to including different types of cases, including case histories, as long as they include open situations where students must make decisions and suggest proposals. We seek agile cases (3000-5000 words, all included) with the following structure:

  *   Abstract
  *   Case learning objectives (a bullet list of 3 to 5 points immediately after the abstract)
  *   Introduction (Opening story)
  *   Business and Industry Overview
  *   Problem description
  *   Student Challenge (e.g., discussion questions, assignments, etc.)
  *   References
  *   Appendixes
We will prefer cases that include visuals and links to video materials and that require students to combine data-driven and analytical reasoning with more creative thinking styles. Each case author will also be responsible for constructing a teaching note (max 3000 words and for instructor’s use only) with the following structure:

  *   Case summary for instructors
  *   Teaching Objectives
  *   Teaching Strategy and assignment suggestions (differentiated for undergraduate and graduate courses)
  *   Reference and additional materials (videos are encouraged)

The deadline for submission is December 30th, 2024. All cases will be reviewed, and authors will be notified on or before April 1st, 2025. Revised cases will have to be submitted by June 1st, 2025. To submit your cases or for any questions, please email the editors:

Carmine Gibaldi is a Professor of Management & Organizational Psychology. He also has an ongoing consulting practice that addresses issues related to organizational change, leadership, training & development, and executive coaching. He is an expert in areas related to better understanding people in the workplace, managing people at work, higher education, & understanding the adult learner. Carmine has delivered over 40 papers at international conferences addressing issues related to Management & Organizational Behavior, and Higher Education & College Teaching. Dr. Gibaldi has received received awards for service, and teaching excellence. He presently serves as the board Chair for the Sansone Foundation a NYC not-for-profit foundation providing social service referral services, supporting education to the less advantaged, and working to foster and build tolerance in NYC.

Luca Iandoli is the Dean of the Collins College of Professional Studies and a Professor in the Computer Science, Mathematics, and Science Division. Dr. Iandoli served as an Associate Professor at the University of Naples Federico II (Italy), A Fulbright fellow at the MIT Center for Collective Intelligence, and as a Visiting Research Professor at the Stevens Institute of Technology. His research focuses on collective intelligence, interaction design, and product aesthetics. He served as President of the European Council for Small Business and Entrepreneurship (ECSB) and of the International Council for Small Business (ICSB). He has received prestigious awards, including the Wilfred White and ECSB fellowships.

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