Md Maruf Hossan Chowdhury, University of Technology Sydney

Shahriar Akter, University of Wollongong

Mohammad Alamgir Hossain, RMIT University

Kristijan Mirkovski, Deakin University

Supply chains face mounting pressures from climate change, geopolitical tensions, and pandemic risks, while stakeholders demand greater sustainability. Digital technologies like artificial intelligence and blockchain offer solutions for enhancing visibility and improving environmental and social outcomes.

The integration of digital innovation with sustainability and resilience strategies enables supply chains to reduce systemic risks while strengthening their ability to recover from disruptions. However, significant gaps remain in understanding how these technologies influence ESG performance and interact with contextual factors.

This special issue seeks high-quality contributions exploring how digital and emerging technologies enable or constrain sustainable, resilient, and regenerative supply chain strategies, offering theoretical insights and practical implications for researchers, practitioners, and policymakers.

Appel publié par The International Journal of Logistics Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Emerging digital technologies for sustainability and resilience in supply chain management
• Data-driven decarbonisation strategies and emissions transparency
• Digital enablers of circular supply chains and closed-loop systems
• Digital transformation and sustainable supply chain risk management
• Technology-enabled supply chain resilience capabilities
• Blockchain-based traceability and ethical sourcing
• Digital product passports and lifecycle data integration
• Governance, ethics, data integrity, and cybersecurity in digital supply chains
• Institutional and regulatory influences on technology-led sustainability
• Digital platforms for supplier sustainability assessment
• Techno-nationalism and sovereign AI in global supply chains
• Technology-sustainability-resilience linkages theory
• Regenerative practices in supply chains

Timeline

• September 15, 2026: Opening date for manuscripts submissions
• March 15, 2027: Closing date for manuscripts submission

Minhao Zhang, University of Bristol

Yuanzhu Zhan, University of Birmingham

Iana Jackson, University of Arkansas

Zhijun Yan, Beijing Institute of Technology

Emerging technologies promise operational improvements, but their scaling often generates complex trade-offs that become more acute across organisational boundaries and levels. The special issue addresses operational tensions—persistent conflicts between competing demands such as centralisation versus decentralisation, efficiency versus flexibility, and autonomy versus control—that emerge when technologies reconfigure processes, resource allocation and governance. These tensions extend beyond individual implementations to affect supply networks, infrastructure systems and institutional contexts, with implications for resilience, governance and sustainability.

The call invites research examining how organisations navigate these tensions at three levels: within organisations, across supply networks and platforms, and at system-wide scales involving regulation, cybersecurity and resource constraints. Particular interest lies in contexts facing disruption or resource scarcity, such as healthcare and humanitarian operations, where technology adoption may enhance visibility and coordination yet intensify tensions around resource allocation and inter-organisational accountability.

Appel publié par International Journal of Operations & Production Management. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• How do emerging technologies reconfigure operational processes, routines and decision rights during adoption and scaling?
• What operational capabilities, performance measurement systems and managerial practices enable organisations to balance experimentation, learning and operational reliability?
• How do organisations manage operational tensions arising from the simultaneous scaling of emerging technologies and the maintenance, integration or phase-out of legacy technologies?
• How does the scaling of emerging technologies across supply networks reshape coordination, collaboration, trust, power and dependency relationships?
• How do organisations manage tensions between transparency and confidentiality, decentralisation and strategic control, or local optimisation and network-wide performance?
• How do AI-enabled ecosystems, intelligent intermediaries and algorithmic brokers transform supply network structures, relational dynamics and orchestration practices?
• How do differences in digital maturity, resources and strategic priorities among supply chain partners affect technology scaling, governance and risks of digital exclusion or inequality?
• How do emerging technologies create tensions between operational performance improvement and system-level constraints such as resilience, cybersecurity, regulation, infrastructure capacity, energy consumption and sustainability?
• How do technology-enabled operations redistribute risks, costs and operational burdens across firms, supply networks, workers, suppliers, customers and operational locations?
• How are technologies scaled under disruptive, resource-constrained or recovery-oriented operating conditions, and how do organisations manage tensions between speed and control, improvisation and standardisation, risk-taking and accountability, or local responsiveness and system-wide coordination?

Timeline

• January 8, 2027: Opening date for manuscripts submissions
• April 8, 2027: Closing date for manuscripts submission

This special issue examines the governance frameworks and international regulatory approaches necessary to manage emerging ocean technologies in the context of climate action. It addresses how artificial intelligence and spatial computing applications can be effectively regulated within marine policy to support sustainable ocean management and climate mitigation goals.

Appel publié par Marine Policy. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• October 30, 2026: Submission deadline

Entrepreneurship education must adapt to rapid technological change, as emerging innovations like AI, blockchain, and immersive platforms are fundamentally transforming how entrepreneurs identify opportunities, develop prototypes, and scale businesses. While these technologies offer unprecedented pedagogical potential through simulations and gamified learning, many educational programs continue using traditional, Western-centric approaches that prioritize information delivery over experiential learning.

This special issue addresses the urgent need to critically examine how entrepreneurship education can effectively integrate emerging technologies while remaining responsive to the entrepreneurial realities students will face. The issue is particularly relevant for emerging economies, where digital tools can overcome infrastructure limitations and resource constraints to democratize access to quality entrepreneurship education, though success requires institutional capacity building, thoughtful curriculum design, and supporting policies.

Appel publié par Journal of Entrepreneurship in Emerging Economies. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Emerging Technologies in Entrepreneurship Education - Application of AI, VR/AR, blockchain, and IoT in entrepreneurship teaching; effectiveness of technology integration in resource-limited settings; impact of digital tools on student engagement and learning outcomes; role of gamification and simulation in developing entrepreneurial competencies
• Institutional Integration and Capacity Building - Organizational capabilities enabling technology adoption; leadership and faculty preparedness; university-industry collaboration models; digital infrastructure development; government policies and regulatory frameworks; creating entrepreneurial ecosystems beyond traditional classrooms
• Curriculum Design and Assessment Innovation - Assessment methods for technology-integrated learning environments; addressing generative AI in student evaluation; metrics for measuring impact on learning outcomes and business creation; longitudinal studies on career development; cost-effectiveness evaluation; educator training and professional development models

Timeline

• April 1, 2026: Opening date for manuscript submissions
• September 30, 2026: Closing date for manuscript submissions

Aude Rychalski, ESSCA School of Management

Varsha Jain, ESSCA School of Management

Elodie Jouny-Rivier, ESSCA School of Management

Anupama Ambika, IMT

This Special Issue invites interdisciplinary contributions exploring how emerging technologies like AI, AR, VR, XR, and others dynamically shape consumer emotions, eventually influencing identity and behaviour. The issue welcomes theoretical, empirical, and methodological paper submissions from consumer behaviour, consumer psychology, human technology interaction, digital media, and related areas.

The focus is on exploring the mechanisms, processes, and consequences in the context of technology-enabled emotion engineering. Additionally, discussions are encouraged on consumer autonomy, well-being, and broader implications of emotionally engineered consumer behaviour.

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

Potential topics

• How emerging technologies (AI, AR, VR, XR, and others) shape consumer emotions
• Influence of technology-induced emotions on consumer identity and behaviour
• Mechanisms and processes of technology-enabled emotion engineering
• Consequences of emotionally engineered consumer behaviour
• Consumer autonomy in the context of emotional technology design
• Consumer well-being implications of emotion engineering
• Broader societal implications of emotionally engineered consumer behaviour

Timeline

• November 1, 2026: Submissions window opens
• December 30, 2026: Submissions window closes

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

Timeline

• December 31, 2026: Full paper submission deadline

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

Timeline

• October 31, 2026: Full paper submission deadline

Linda Tuncay Zayer, Loyola University Chicago

Jing Yang, Boston University

Shu-Chuan (Kelly) Chu, DePaul University

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

Potential topics

• Ethical implications of AI, social media, AR, VR, metaverse, and other emerging technologies
• Ethics and well-being related to AI companions, bots, and virtual influencers
• Personalized content generation and psychological manipulation concerns
• Algorithmic amplification of beneficial versus harmful advertising content
• Anthropomorphic design ethics and emotional manipulation through physical presence of AI/Robot
• Consent and autonomy in human-robot advertising/marketing communication interactions
• Parasocial relationships with advertising/marketing communication robots and their exploitation
• Consumer understanding and control of integrated AI advertising experiences
• Data sharing and privacy concerns across social media platforms and emerging technologies
• Building AI and digital media literacy
• Children's well-being related to AI, social media and new technologies
• Elderly consumers and potential exploitation through advertising systems embodied by emerging technologies
• Consumer involvement in advanced advertising system design and governance
• Professional ethics for AI-automated decision-making
• Deepfakes and synthetic media ethics in commercial contexts
• Synthetic data and digital twins in the advertising context
• Automation and replacement of advertising industry employees by AI
• Bias detection, measurement, and mitigation strategies across digital applications
• Bias and representational harms of AI-generated advertising and other emerging technologies
• Extremism, misogyny, and gender-based violence enabled by AI, social media, and emerging technologies
• Immersive storytelling, embodiment, and consumer well-being in hybrid digital–physical advertising experiences
• Sustainability issues related to the use of AI in advertising industry
• AI, energy consumption, and the carbon footprint of the advertising industry

Timeline

• August 31, 2026: Manuscript deadline

Varun Grover, University of Arkansas

Nik Rushdi Hassan, University of Minnesota Duluth

Tina Blegind Jensen, Copenhagen Business School

Paul Lowry, Virginia Tech

Kalle Lyytinen, Case Western Reserve University

Angsana Techatassanasoontorn, Auckland University of Technology

This special issue addresses the challenge of developing new theoretical frameworks to explain unprecedented digital phenomena reshaping organizations and society. The call emphasizes the need for native IS theories that combine new concepts with existing theoretical foundations to explain the "why" behind digital phenomena, moving beyond descriptive accounts to deeper theoretical understanding.

The issue welcomes both articles that critically engage with existing theories to demonstrate their limitations in explaining contemporary digital phenomena, and articles proposing novel native IS theories grounded in the IS discourse. Theories should contain logically interconnected propositions and address specific "why" questions about emerging phenomena like surveillance capitalism, artificial intelligence, social media impacts, and other disruptions requiring explanation.

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

Potential topics

• Digital technology and its nexus with social and organizational phenomena
• IT-enabled fake news and misinformation/disinformation
• Algorithmic amplification and social tendencies
• Cybersecurity and privacy threats from technology-enabled organizations
• Deepfakes and synthetic media
• Ethical and legal implications of emerging technologies
• Artificial intelligence and generative content
• Societal and political impacts of technology
• Energy informatics and green IS
• Sustainability digital initiatives
• Digital strategy and emerging business models
• Digital transformation and disruption

Timeline

• June 29, 2026: Deadline for Extended Abstracts
• December 1, 2027: Deadline for Paper submissions

Yichuan Wang, University of Sheffield

Minhao Zhang, University of Bristol

Francesco Schiavone, University of Naples Parthenope

This special issue examines how shifting political contexts and policy decisions influence artificial intelligence innovation, governance, and investment globally. The call addresses the interplay between regulatory changes, technological development, and organizational strategy in response to evolving geopolitical uncertainties and governance frameworks around AI.

The issue seeks interdisciplinary research exploring how relaxed or tightened AI regulations affect innovation ecosystems, competitive dynamics, and cross-border collaboration. It welcomes submissions analyzing governance models, investment strategies, and the balance between rapid AI development and ethical considerations such as data protection and algorithmic fairness across different economic and institutional contexts.

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

Potential topics

• How do shifting political contexts and leadership changes shape countries' AI R&D investments and strategic alliances?
• What are the short-term and long-term implications of relaxed AI governance on economic performance, data privacy, and algorithmic bias?
• Under what conditions can reduced AI regulations foster or hinder innovation ecosystems in sectors such as healthcare, finance, manufacturing, and transportation?
• How can policymakers and organizations balance the need for rapid AI innovation with the ethical and social risks arising from limited oversight or fragmented governance?
• How might relaxed AI governance in certain countries influence global competitive dynamics, international collaborations, and the uneven distribution of AI capabilities?
• What strategies can multinational enterprises adopt to navigate complex regulatory landscapes, protect intellectual property, and maintain data security while pursuing AI innovation?
• Which governance models or policy frameworks from different regions most effectively balance innovation, accountability, and social welfare in AI?
• How can scenario planning and forecasting methods be applied to model the impact of political volatility on AI investments, talent flows, and market structures?

Timeline

• November 15, 2026: Manuscript deadline