Series 3 convenes scholars and practitioners to examine how artificial intelligence changes narrative authority, work, ecology, inclusion, strategy, and answerability—and to develop stories that do not surrender human judgment.
Working proposals
These volumes are working proposals, not fixed assignments. They will be refined collaboratively through the Wednesday Lab as editors and contributors develop the questions, relationships, and chapters that the field requires.
Possible editors: David M. Boje and Grace Ann Rosile
Explores quantum antenarratives, living-machine storying, ethical guardrails, and the organizational futures produced when generative systems become actors in sensemaking.
Farzaneh Fatemi, University of Tabriz, with D. M. Boje
This submitted chapter is the proposed how-to backbone of the volume: a teachable bridge between data analysis and storytelling. Farzaneh Fatemi will present this chapter proposal for ten minutes at the September 30 World Scientific Encyclopedia Series 3 Working Lab.
Stories legitimate organizations, move markets, and increasingly reach people already narrated by AI systems — yet narrative is often dismissed as too soft to measure. This chapter presents two complementary, paired traditions: qualimetrics, which codes and counts symbolic patterns, and antenarrative analysis, which reads the unfinished, fragmentary story-strands that counting cannot capture. Together they let a researcher both measure a narrative and interpret how meaning is made, reframed, or suppressed. Written as a practical reference, it introduces the toolkit — discourse coding schemes, structured probe batteries, scoring rubrics (ABCD / ABCD+E), antenarrative reading, and Bakhtinian answerability protocols — and walks step by step through corpus and probe design, coding, AI-assisted verification, and reliability, before showing how to move from counts to meaning. The Ghost Vortex — the leadership shadow embedded in an AI product — serves as a signature illustration of what this reading can surface. Worked cases are drawn from the authors’ research program on AI, storytelling, and answerability. The chapter closes with guidance on studying narrative in the age of AI, where AI is both an analytic aid and an object of study.
It is the how-to backbone of the volume — the teachable bridge between “data analysis” and “storytelling.”
A clear, replicable, teachable method for turning organizational stories into evidence — a reference entry, grounded in a coherent body of studies, that researchers and students can actually follow.
Proposed volume editor: Jillian Saylors
Examines AI-supported cognition, disability and neurodiversity, authorship, scholarly labour, expertise, provenance, trust, surveillance, and governance—asking who may think, know, decide, and count as a legitimate knower.
Proposed volume editor and contributing author: Oscar Edwards
Investigates diversity, equity, inclusion, belonging, representation, and voice in AI-mediated organizations, using True Storytelling to ask whose experiences are amplified, stereotyped, excluded, or made answerable.
Proposed volume editor: Anton Shufutinsky
Centers human factors, sociotechnical systems, and human-systems integration. Contemporary Sociotechnical Systems Theory provides a path for examining when AI augments rather than displaces human judgment.
Proposed editor or co-editor: Yue Cai · Introduction in development: Mark Hillon
Draws together strategic renewal, storytelling in multinational corporations, financial-story deconstruction, management ethics and aesthetics, socio-economic world-building, and community-based prosperity. The developing introduction connects these chapters to the Age of AI and positions grounded storytelling as an antidote to cognitive surrender.
Editorial team to be decided · Amandine Savall, Véronique Zardet, and Marc Bonnet will contribute as editors and/or authors
This volume brings the Socio-Economic Approach to Management (SEAM) into direct conversation with AI transformation. It would examine consultation, hidden costs, untapped human potential, work design, and socially responsible capitalism in organizations adopting AI. Rather than treating technology as a reason for human replacement, the volume would develop practical and answerable ways to co-design AI-enabled change with the people and communities affected by it.
Open working session
Editors, prospective authors, and interested colleagues shape Series 3 together: volume themes, frameworks, chapter ideas, and relations among the volumes remain open for thoughtful development.
Begins September 30, 2026 · Zoom ID 895 079 5007 · Passcode: Boje
Four ten-minute presentations are scheduled so that Eventbrite participants have protected time to ask questions and offer comments.
Other colleagues ready to present are warmly invited to request a later ten-minute Wednesday slot through the contact and invite page; this preserves substantive audience dialogue in the September 30 session.
Public event and book
Free 60-minute webinar · 9:00 a.m. Pacific / 10:00 a.m. Mountain / 12:00 noon Eastern. Registration, the book, slides, and glossary offer an accessible entry to the ideas informing Series 3.
Background inquiry
Series 3 begins from a simple premise: every AI story has infrastructures, labour, water, energy, communities, and institutional choices beneath it. These public tools help make those conditions visible.
Join Zoom Lab — 60-90 min — Monday folks welcome — This is your Wednesday reminder.
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Set 2 of A World Scientific Encyclopedia of Business Storytelling is titled Methodologies and Big Data Analysis of Business Storytelling and comprises five specific volumes focused on applied narrative science:
Working focus: Narrative Authority, Cognitive Access, and Institutional Legitimacy in the Age of AI. This volume examines generative AI as a cultural, institutional, and storytelling force rather than merely a technical tool. It would bring antenarrative and the seven Bs into conversation with disability and neurodiversity, AI-supported cognition, authorship, scholarly labour, expertise, provenance, trust, surveillance, and governance. Its central question is how human–AI arrangements reorganize who may think, know, decide, and count as a legitimate knower while competing stories of liberation, access, plagiarism, replacement, collaboration, and accountability are still emerging.
This volume would explore how AI-mediated storytelling changes diversity, equity, inclusion, belonging, representation, and voice in organizations. It would use True Storytelling to ask whose experiences are amplified, stereotyped, excluded, or made answerable when algorithmic systems shape organizational communication, hiring, evaluation, and public narratives. Contributors would examine practical and ethical pathways for inclusive storying that resists the reduction of people and communities to data categories or synthetic corporate speech.
This volume centers human factors, sociotechnical systems, and human-systems integration in the co-creation of organizational futures with AI. Building from Contemporary Sociotechnical Systems Theory and the work of Trist and Lewin, it would investigate human–technical interaction, integration, and the conditions under which AI augments rather than displaces human judgment. A proposed introductory chapter would connect these theoretical advances to the organizational stories through which people make sense of AI-enabled work, entrepreneurship, and strategy.
Drawing on chapters already developed for Yue Cai’s strategy-storytelling volume, this volume offers an antidote to the AI demand for cognitive surrender. Its proposed contents include strategic renewal in a small family-run business; storytelling in multinational corporations as a socially accomplished activity; the deconstruction of financial stories during global crisis; the convergence of management, ethics, and aesthetics in True Storytelling; socio-economic world-building; and Wilma Dykeman’s community-based account of prosperity, sacred place, existential meaning, and answerability. Mark Hillon is developing an introduction that connects these chapters to the Age of AI theme; Yue Cai may serve as editor or co-editor and/or contribute a chapter.
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frameworks in Lab
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