Call for Chapters: Risk Management and Continuity Planning for AI-Dependent Organizations

Editors

Puthisat Namdech, North Bangkok University, Thailand
Krisada Chienwattanasook, Rajamangala University of Technology, Thailand

Call for Chapters

Proposals Submission Deadline: May 31, 2026
 Full Chapters Due: September 13, 2026
 Submission Date: September 13, 2026

Introduction

This edited volume addresses a central imperative of modern organizational theory and practice: the strategic integration of human and artificial intelligence. It moves beyond viewing automation as mere replacement, instead focusing on collaborative frameworks where human judgment, creativity, and ethics synergize with machine efficiency, data-processing power, and algorithmic precision. The book will explore the socio-technical systems, governance models, leadership strategies, and organizational structures required to foster effective human-machine teams. It critically examines the redesign of workflows, the evolution of requisite skills (upskilling/reskilling), and the ethical management of algorithmic authority to enhance organizational agility, innovation, and resilience in a digitally-transformed landscape.

Objective

The publication is positioned to significantly impact the research community by establishing a coherent, interdisciplinary knowledge base at the nexus of organizational studies, information systems, and human-computer interaction. It will provide a foundational reference that synthesizes empirical research, conceptual models, and practical case studies, catalyzing new scholarly inquiries into hybrid intelligence systems. By offering evidence-based frameworks, it will guide future research on trust dynamics, performance metrics, and adaptive structures in augmented organizations, thereby advancing both academic discourse and evidence-based managerial practice.

Target Audience

The primary intended audience includes academic scholars and doctoral students in organizational behavior, public administration, business management, and information technology; senior executives, digital transformation officers, and HR strategists in both public and private sectors; and consultants and policymakers focused on the future of work and organizational design in the digital economy.

Recommended Topics

1) Theoretical Foundations of Human-Machine Collaboration and Socio-Technical Systems Theory. 2) Organizational Design and Structure for Hybrid Human-AI Teams. 3) Leadership, Decision-Making, and Authority in Algorithmically-Augmented Organizations. 4) Workforce Transformation: Upskilling, Reskilling, and the Future of Competencies. 5) Ethical Governance, Accountability, and Transparency in Human-Machine Workflows. 6) Designing Collaborative Interfaces and Interaction Protocols for Human-AI Synergy. 7) Trust Dynamics, Change Management, and Cultural Adaptation to AI Integration. 8) Performance Measurement and Evaluation of Human-Machine Collaborative Outcomes. 9) Case Studies in Public and Private Sectors: AI in Policy Analysis, Service Delivery, and Strategic Management. 10) Risk Management, Cybersecurity, and Continuity Planning for AI-Dependent Organizations.

Submission Procedure

Researchers and practitioners are invited to submit on or before May 31, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 14, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by September 13, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Risk Management and Continuity Planning for AI-Dependent Organizations. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 31, 2026: Proposal Submission Deadline
June 14, 2026: Notification of Acceptance
September 13, 2026: Full Chapter Submission
November 15, 2026: Review Results Returned
December 27, 2026: Final Acceptance Notification
January 10, 2027: Final Chapter Submission

Inquiries

Puthisat Namdech North Bangkok University puthisatnamdech@gmail.com Krisada Chienwattanasook Rajamangala University of Technology krisada_c@rmutt.ac.th
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