AI and Digital Transformation Success

The “TMT” framework (Tools, Methods, Theories)

Edited by:
Emmanuel Monod, Paris-Dauphine University
Yuewei Jiang, UCMT

A volume in the series: Emerging Information Technologies: Applications, Innovations, and Research. Editor(s): Sam Goundar, RMIT University.

Call for Chapter Proposals

This call for chapter is related to a book in the series “Emerging Information Technologies: Applications, Innovations, and Research”. Its unique feature is to “document real-world examples and use cases for stakeholders to learn from” (Goundar, 2022). Authors are invited to submit case studies related to emerging technologies included in digital transformation, for instance: AI, AR/VR, cloud computing, robotics, big data, IoT, virtual worlds, metaverse or digital twins.

The question of this book is: How to succeed in AI or digital transformation projects? Most of these projects still fail to achieve a return on investment (Mc Kinsey, 2020). For instance, AI in marketing and sales keeps on falling into the information technology productivity paradox, a common fact between AI conversational agents, AI customer service agents or AI sales assistants. Also, the repeated failures of digital transformation in factories led to the switch from industry 4.0 to industry 5.0. One of the causes of failure is to consider that digital transformation shall start with technologies rather than considering organizational issues to be solved. However, one of the main commonly cited reasons for avoiding failures by McKinsey (2020) is a strong alignment across the organization. In other words, rather than technological innovation only, the improvement of corporate performance requires organizational change. This organizational change is the topic of this call for chapters.

Submissions should first describe the management activities related to the digital transformation:
• Is the digital transformation focused on one department of the company such as sales, production or R&D?
• Or is this transformation taking place across different departments?
• Or is the focus a business process, such as customer relationship management (CRM), supply chain management (SCM) or knowledge management (KM)?
• What are the expected outcomes on these activities? Cost reduction? Customer satisfaction? Quality improvement?

Submissions shall also describe the management tools:
• Are the management tools involved in this digital transformation related to project management or rather to process improvement such as workflow analysis or PDCA?
• Or are these management tools rather business model canvas or operation canvas?
• Do these management tools include performance measurement tools, such as KPIs or balance scorecard?

In addition, submissions should describe the management methods used:
• Are the methods used related to total quality management (TQM) such as lean management or six sigma?
• Or are these methods more radical such as business process reengineering (BPR) or business process management?
• Or are these methods classical business methods such as management by objectives (MBO) or activity-based costing (ABC)?
Finally, which are the management theories that could describe the assumptions and values underlying these management tools and methods?
• Does this transformation undertake the perspective of automation or augmentation?
• Is it rather related to internationalization? Continuous improvement? Or sustainable competitive advantage?

Therefore, this book invites to analyse the success or failures of cases of AI and digital transformation projects through an organizational transformation perspective, also called human-digital competitiveness (Monod et al., 2021) or, in this volume, TMT framework (Tools, Methods and Theories) (Monod and Jiang, 2022). Research methods can be descriptive case studies, action research, or grounded theory.

The proposal must be accompanied by a “Case Proposal Submission Form” which includes the following information:

• Name, Affiliation, Address, Email Address, and Phone Number of Case Author(s).
• Title of the Case
• Case Proposal
• Author’s Brief Bios (30 words or less for each author)

Please email proposals and submission forms to professor Monod ( with the subject line “IAP book on AI and digital transformation” by March 1, 2023 The book editors will review the proposals and invite authors to submit a draft of the entire case by July.

Each completed case should be between 2,000 – 2,500 words (not including references). Following the case, you should include 2-3 discussion questions that readers could use to discuss your case, and you should describe a field-based that will push the reader toward action. The length of each case is intentionally short so that the book can provide the reader with multiple, easy-to-read, short examples. All submissions must be prepared using Microsoft Word for electronic submission and adhere to the guidelines set out in the Publication Manual of the American Psychological Association (APA), 7th Edition. Text should be double spaced, 12-point Times New Roman font with any tables, figures, or visual images placed after the reference section.

Proposals for Cases Due to Book Editors: March 1, 2023
Invitations Sent to Accepted Authors: April 1, 2023
Case Manuscript drafts Due to Book Editors: July 1, 2023
Suggested Revisions and Edits Sent to Authors: December 1, 2023
Revisions Due to Book Editors: February 1, 2024

Send all inquiries to Emmanuel Monod,

  • This title is in development and is not yet available to order online. Please call the IAP office for more information: 704.752.9125
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