Qiang (Steven) Lu, University of Sydney

Jian Ni, Virginia Tech

Yanwen Wang, University of British Columbia

Ranjit Voola, University of Sydney

Junbin Gao, University of Sydney

This special issue examines how algorithmic systems shape markets, organizations, and consumer behavior beyond their technical applications. The focus extends to understanding how these systems influence competition, value distribution, market access, consumer decision-making, and broader societal outcomes including fairness, inclusion, and sustainability.

The call invites research across three interconnected domains: markets, consumers, and organizations. A key emphasis is balancing economic performance with social value creation, addressing algorithmic bias, pricing practices, and inequalities while identifying conditions under which algorithmic integration benefits society.

The special issue prioritizes practical research bridging marketing theory with real-world algorithmic system design and governance. Studies using diverse methodologies are welcomed, particularly those offering actionable insights for managers and policymakers.

Appel publié par European Journal of Marketing. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Algorithmic market shaping and platform ecosystems
• Consumer-algorithm interactions, trust and resistance
• Algorithmic personalisation and customer experience
• Pricing and fairness in algorithmic systems
• Bias, discrimination and inequality in algorithms
• Transparency, ethics, accountability and regulatory responses
• Strategic marketing capabilities and organisational adaptation
• Responsible AI adoption and implementation
• Sustainability and financial inclusion
• Societal impact and policy implications
• Managerial decision-making
• Interdisciplinary and industry-engaged research

Timeline

• September 25, 2026: Opening date for manuscripts submissions
• February 28, 2027: Closing date for manuscripts submission

Shahriar Akter, University of Wollongong

Carolyn Strong, Cardiff University

Marketing is experiencing rapid transformation through AI adoption, yet over 80% of AI initiatives fail to deliver expected financial returns. Despite most CMOs experimenting with AI, fewer than 10% have successfully scaled it across marketing workflows. The gap between AI potential and actual value creation highlights the need for marketing processes centered on humans orchestrating AI, channels, and personalization as a continuous growth engine.

This special issue seeks high-quality research examining how human-centered AI can enhance strategic decision-making in marketing. It welcomes papers addressing responsible AI principles such as beneficence, autonomy, security, justice, and explicability, alongside practical challenges in marketing-specific AI governance, security risks in autonomous agents, algorithmic bias mitigation, and the reskilling of marketing teams for effective human-AI collaboration.

Appel publié par Journal of Strategic Marketing. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Continuous insights: Using multiple data sources for segmentation, campaign execution, and analytics with AI collaboration to predict consumer behaviours
• Security in Agentic creativity: Addressing data breaches, cyberattacks, and security risks in agentic AI systems, including automatic campaign scaling and optimization
• Trust and algorithmic biases: Implementing auditing protocols to identify and correct distortions in data and models
• AI governance and ethical principles: Establishing AI governance frameworks and marketing-specific ethical guidelines for socially beneficial AI adoption
• Human-centred marketing skills: Reskilling and upskilling marketing talent in data analytics, hyper-personalisation, chatbots, and virtual assistants for strategic decision-making
• AI failures: Understanding why AI projects fail due to data quality, customer needs identification, expectations management, and cultural readiness in human-AI collaboration

Timeline

• October 30, 2026: Abstract deadline
• March 31, 2027: Manuscript deadline

Zuzana Virglerova, Tomas Bata University in Zlín

Nicola Capolupo, San Raffaele Roma University

The aim of this special issue is to explore how algorithmic and behavioral biases influence the adoption, use, and outcomes of Artificial Intelligence (AI) in organizational settings. As AI systems increasingly shape decision-making, human resource management, operational processes, and strategic planning, understanding how biases emerge and interact within socio-technical systems has become a critical scholarly and societal challenge.

The special issue seeks to integrate interdisciplinary perspectives to explain how biases arise both from AI systems and from the human and organizational decisions that design, implement, interpret, and govern them. It offers an original contribution by bridging two research streams that are often treated separately: algorithmic biases embedded in data, models, and computational architectures, and behavioral biases rooted in human cognition, organizational routines, and institutional structures. Building on socio-technical systems theory, AI is conceived as co-constructed by technologies, individuals, and the environments.

Appel publié par Business Process Management Journal. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Algorithmic biases in AI systems applied to HR and decision-making processes
• Cognitive and behavioral biases of users interacting with AI systems
• Governance, ethics, and regulation of AI in organizations
• Methodologies for identifying and mitigating socio-technical biases in work processes
• Organizational and social impacts of AI on equity, environment, inclusion, and job quality

Timeline

• June 1, 2026: Opening date for manuscripts submissions
• July 31, 2027: Closing date for manuscripts submission