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

Fernando Miramontes Forattini, Dublin City University

Regina Connolly, Dublin City University

This special issue examines how care ethics and relational approaches can advance responsible design and governance of AI-enabled systems. While contemporary AI ethics discourse has focused on fairness, transparency, and compliance frameworks, this call seeks to address the structural, relational, and institutional dimensions of how digital systems affect vulnerability, participation, and human agency.

The special issue invites empirical research, conceptual contributions, design science research, and interdisciplinary perspectives that move beyond procedural approaches to explore responsibility distribution across socio-technical arrangements. Submissions should examine relationships between technology, power, participation, exclusion, and accountability in digital environments, grounded in diverse epistemological and methodological traditions.

Appel publié par Information Systems Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Care ethics and Information Systems design
• Responsible AI and relational accountability
• Ethics of participation, inclusion, and exclusion in digital systems
• Structural ethics and socio-technical governance
• Human-centred and care-centred AI design
• Vulnerability, dependency, and digital infrastructures
• AI governance and institutional legitimacy
• Ethics of repair, maintenance, and redress in digital systems
• Participatory and inclusive approaches to AI governance
• Responsible innovation and structurally aware design
• Public sector AI and questions of care, trust, and legitimacy
• Algorithmic systems and the distribution of risk and burden
• Gender, inequality, and digital governance
• Ethics of automated decision-making
• Relational approaches to trust, transparency, and accountability
• Organizational responsibility in AI-enabled environments
• Care ethics and sustainability in digital transformation

Timeline

• September 30, 2026: Manuscript submission deadline
• November 30, 2026: First review decisions
• February 1, 2027: Revised manuscript submission
• March 15, 2027: Final decisions

Imon Chakraborty, Indian Institute of Technology Madras

Saji K Mathew, Indian Institute of Technology Madras

Nargis Pervin, Indian Institute of Technology Madras

Viswanath Venkatesh, Virginia Polytechnic Institute and State University

Digital technologies like AI, platforms, and IoT are transforming organizations and society, creating both significant value and serious risks including algorithmic bias, privacy violations, and cybersecurity threats. This special issue seeks research on information systems that are simultaneously responsible—fair, transparent, ethical, and respectful of human rights—and resilient, able to withstand disruptions and recover from failures.

The research community needs theoretically grounded and empirically rigorous studies that move beyond simple technology adoption narratives to examine post-adoption use, value realization, human-machine collaboration, and the long-term impacts of digital systems. Information systems researchers are uniquely positioned to explore how responsibility and resilience interplay across individuals, organizations, institutions, and society.

The special issue welcomes submissions using various research methods that advance understanding of responsible and resilient digital futures in specific technological and organizational contexts. It is linked to the InCIS 2027 conference but is also open to all authors through direct submission.

Appel publié par Information Systems Frontiers. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Responsible AI and AI Governance
• Resilient Information Systems and Digital Platforms
• Human–AI Collaboration and Decision Making
• Digital Transformation and Innovation
• User Behaviour in Digital Environment
• Digital Trust, Privacy, and Cybersecurity
• Data Governance and AI-Enabled Decision Making
• Digital Inclusion, Accessibility, and Societal Impact
• Policy and Governance of Digital Technologies
• Design Science Research for Responsible and Resilient IS
• AI and future of work and education
• Opportunities and challenges does AI create for society
• Skills and mindsets that will remain uniquely human in an AI-driven world

Timeline

• September 15, 2027: Submission deadline

Brian King, Texas A&M University

Kyoung Jun Lee, Kyung Hee University

Danae Manika, Brunel University of London

Babak Taheri, Texas A&M University

This special issue seeks to advance understanding of how artificial intelligence can be designed and deployed responsibly and trustworthily within tourism and hospitality sectors. As AI becomes increasingly embedded in service delivery, marketing, operations, and guest experiences, the sector faces both opportunities for innovation and significant ethical challenges regarding fairness, accountability, transparency, and consumer trust.

The special issue invites interdisciplinary research examining the technical, managerial, legal, and societal dimensions of responsible AI adoption. Submissions should explore the design, governance, and impacts of AI-enabled platforms and systems, addressing topics such as algorithmic bias, consumer trust, sustainable AI applications, ethical frameworks, digital transformation, and labor implications within tourism and hospitality contexts.

Appel publié par Electronic Markets. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Ethical AI frameworks in tourism and hospitality: fairness, accountability, transparency, and inclusivity
• AI-driven consumer experiences: balancing personalization, convenience, and privacy
• AI robustness and risk: testing booking, pricing, and chatbot vulnerabilities, modeling threats, and strengthening resilience
• Trust, reliability and safety: building consumer trust, ensuring reliable performance, and managing risks
• Auditing AI systems: ongoing evaluations in pursuit of fairness, accuracy, and compliance
• Generative AI in marketing: pursuing responsibility in branding, engagement, and consumer journeys
• Sociotechnical and cultural dimensions: cross-cultural and historical perspectives on AI adoption
• AI, sustainability, and CSR: supporting or hindering responsible and sustainable practices in tourism and hospitality
• Future directions: conceptual frameworks and policy challenges for responsible and trustworthy AI in service innovation and resilience
• Social and labor impacts: the effects of adopting AI on employment, equity, and workforce well-being
• Frugal AI and digital twins: cost-effective and resource-conscious applications for operations and guest experiences
• Algorithmic transparency and rights: making AI decisions understandable and offering recourse for affected consumers
• Dark side of AI: risks of manipulation, surveillance, over-automation, and addictive design
• Corporate digital responsibility (CDR) in the age of AI within tourism and hospitality
• AI on digital platforms: exploring recommender systems, marketplaces, and platform governance
• Data ecosystems: sharing and leveraging user/usage data across digital travel and hospitality platforms
• Trustworthy AI principles: ensuring AI systems in tourism and hospitality are lawful, ethical, and technically robust
• Verification, validation, and explainability: designing AI that is interpretable and auditable for multiple stakeholders
• Trustworthy AI and consumer journeys: balancing automation with transparency and user empowerment

Timeline

• September 15, 2026: Submission deadline