Conference Programme 2026

This Conference will take place at the University of Salford at 43 Crescent, Salford M5 4WT, United Kingdom from the 16-17 of June 2026

Session Details

* = unconfirmed / not yet registered

Session 1A: AI Adoption, Internal Processes and Organisational Change

Chair: Dr. Tahir Rashid

  • Robert Menger: The hidden treasure deep in files – Anonymous classification of technical information inside of files (Discussant: Ainsley Casement-Sparrow) 
  • Orest Firsov: AI and internal governance of the firm: exploring power dynamics in French industrial manufacturing firms
  • Ainsley Casement-Sparrow: Internal Adoption of Artificial Intelligence Tools Within Large Corporations: A Proposed Methodology to Measure Internal Adoption (Discussant: Orest Firsov)
 
 

Session 2A: Skills, Education and Labour Market Transformation in the Age of AI

Chair: Professor Andy Miah

  • Tom Stables: Cognitive and Creative Transformation in AI-Augmented Work: Rethinking Cognitive and Creative Transformation in AI-Augmented Work: Rethinking Skills, Decision-Making and Value Creation in Marketing Practice (Discussant: Professor Khatira Huseynova) 
  • Professor Arif Qayyum: Generative Artificial Intelligence (GAI) Self-Efficacy in Higher Education (Discussant: Tom Stables) 
  • Subrah Krishnan-Harihara: Upskilling for the Unknown? Young People’s Perceptions of AI Skills, Employability and Future Work Readiness (Discussant: Professor Arif Qayyum) 
  • (Online) Professor Khatira Huseynova: Transformation of Skills and Jobs in Business and Economics (Discussant: Subrah Krishnan-Harihara)

Session 3A: AI, Labour Economics and Macroeconomic Dynamics

Chair: Dr. Peter Reeves

  • Claudio Zucca: Automation and the Broken Career Ladder: A Coordination Failure (Discussant: Dr. Daehyun Yoo) 
  • Professor Helen Popper: Artificial Intelligence in the Macroeconomy: Pricing, Adoption, and Distribution (Discussant: Claudio Zucca) 
  • Dr. Michalis Kourtidis: From Labouring Humans to Techno-Anthropes: AI and the Posthuman Challenge to Labour Economics (Discussant: Professor Helen Popper) 
  • Dr. Daehyun Yoo: AI Adoption and Labour Market Adjustment: Insider-Outsider Dynamics (Discussant: Dr. Michalis Kourtidis)

Session 4A: AI-Driven Business Models, Entrepreneurship and Labour Data

Chair: Professor Marie Griffiths

  • *  Rebeccah Ndungi: An AI-Agent for Labor Market Intelligence: Business Model Innovation and Economic Analysis in the East African Digital Economy 
  • * Diana Krieger: AI-Technology Acceptance Analysis in Small and Medium-Sized Enterprises – Results of a Qualitative and Quantitative Case Study in a German Company (Discussant: Rebeccah Ndungi) 
  • Professor Michael Vogelsang and Tom Staab: AI task domains – Developing a Clustering Method of Embedded Online Vacancy Postings (Discussant: Diana Krieger) 
  • (Online) Medina Klicic and Professor Simone Roth: A GenAI-Supported and Participatory Approach to Business Model Development: Evidence from Toolbox to Ecosystem (Discussants:  Professor Michael Vogelsang and Tom Staab)

Session 1B: AI in Marketing, Consumer Perception and Generative Content

Chair: Dr. Yun Chen

  • Dennis Liedtke: Virtual Influencers as Credible Sources: Eye-Tracking and Survey Evidence from Instagram Advertising (Discussant: Irina Simon) 
  • Dr. Jiayan Huang: Why Consumers Resist AI: Psychological Discomfort in Human–AI Interaction 
  • (Online) Professor Julia Thalmann: AI Disclosure on Instagram: Attention, Transparency, and Scepticism 
  • Dr. Irina Simon: From Deus-Ex-Machina to Eccyclema: Using Narrative Prompting Techniques to Generate Business-Related Case Studies (Discussant:  Dr. Jiayan Huang)

Session 2B: AI Adoption, Productivity and Financial Strategy

Chair: Dr. Peter Reeves

  • (Online) Dr. Shensi Wang: Is the AI Bubble Another Dot-com Crash? A Comparative Review of Two Technology-Driven Investment Booms (Discussant: Stavros Pantos) 
  • Dr. Christoph Bierbrauer: Is AI Productivity Mediated by User Skill? (Discussant: Dr. Shensi Wang) 
  • (Online) Stavros Pantos: The AI Principles Framework: A General Insurance Playbook
 
 
 
 
 

Session 3B: AI in Organisational Functions: HR, Reporting and Supply Chains

Chairs: Geoffrey Evans and Kingsley Omon

  • (Online) Professor Thomas Rautenstrauch: From Pilots to Governance: An Empirical Framework for Responsible GenAI Adoption in HR Controlling (Discussant: Dr. Vahid Babaveisi) 
  • Professor Isabel Lausberg: Recalibrating AI Maturity in Management Reporting (Discussant: Professor Thomas Rautenstrauch) 
  • Dr. Vahid Babaveisi: AI-driven Approach for Waste Classification in the Construction and Demolition Waste Supply Chain (Discussant: Professor Isabel Lausberg)
 

Session 4B: Governance, Regulation, Competition and Emerging AI Risks

Chair: Dave Fallon

  • Dr. Peter Reeves: Potential UK Government Policy with respect to Artificial Intelligence (AI): Prospects for middle ground regulation? (Discussant: Dr. Soumya Banerjee) 
  • * Theshaya Naidoo: Beyond Concerted Practice: Autonomous Algorithms and Transnational Competition Harm 
  • * Theshaya Naidoo: When Code Governs Capital: Rethinking Fiduciary Duties for AI-Driven Firms 
  • Dr. Soumya Banerjee: Unconventional Sources of Risk in Open-Source Large Language Models (Discussant: Theshaya Naidoo)
 
 
 
 
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