This curated collection focuses on how artificial intelligence can contribute positively to the tourism industry while addressing critical ethical, inclusivity, and sustainability concerns. The collection seeks research that explores responsible AI implementation across tourism operations, emphasizing fair and unbiased systems, equitable access for diverse stakeholders, and environmental stewardship. The work invites scholars to examine both the opportunities and challenges associated with integrating AI technologies into tourism contexts, particularly regarding their effects on local communities and ecosystems.

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

Potential topics

• Ethical considerations in AI applications within the tourism sector
• Inclusive AI systems that serve diverse tourist populations and communities
• Sustainability applications of AI in tourism operations and planning
• Responsible innovation and governance frameworks for AI in tourism
• AI-driven solutions addressing social and environmental challenges in tourism
• Algorithmic bias and fairness in tourism recommendation systems and services
• Community engagement and stakeholder perspectives on AI implementation in tourism
• Long-term impacts of AI adoption on tourism destinations and local economies

Timeline

• September 30, 2027: Submission deadline

This special issue examines the evolving legal responsibilities and accountability frameworks that organizations must navigate as artificial intelligence technologies become increasingly sophisticated and integrated into business operations. The focus is on understanding corporate duty of care obligations, liability exposures, and the regulatory landscape that governs AI use in corporate settings.

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

Timeline

• April 1, 2027: Submission deadline

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 how digital transformation and artificial intelligence technologies integrated into accommodation platforms are reshaping destination marketing strategies, governance structures, and local development outcomes. The call invites research exploring the intersection of AI-enabled booking platforms with tourism destination management and community impacts.

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

Timeline

• August 31, 2028: Submission deadline

This special issue invites research on the application of artificial intelligence methods to improve key aspects of modern software systems. The focus encompasses using AI to enhance system performance, increase reliability, and promote sustainability in software engineering and operations.

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

Timeline

• September 30, 2026: Submission deadline

This special issue in the Journal of Systems and Software focuses on the intersection of artificial intelligence, automation, and sustainability within software testing. The call seeks research that explores how AI and automated approaches can be leveraged to improve testing efficiency while addressing environmental and sustainability concerns in the software development lifecycle.

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

Potential topics

• AI in software testing
• Automation in software testing
• Sustainability in software testing
• Integration of AI and automation for testing purposes
• Environmental impact of software testing practices

Timeline

• October 15, 2026: Submission deadline

This special issue examines how data science reshapes project, programme, and portfolio management practices. Rather than focusing on technical algorithmic details, it seeks to understand how managers can translate data and algorithmic insights into better decisions, governance, and value creation across the project lifecycle. The collection emphasizes managerial transformation rather than technology as an add-on.

Contributions should address how data-driven practices improve decision quality and accountability, how governance mechanisms adapt to data-intensive work, and how manager and team competencies evolve. The special issue particularly welcomes research on adoption conditions, implementation challenges, and safeguards for ethical use, bias mitigation, and transparency in decision-making.

Submissions should prioritize actionable insights for practitioners through conceptual frameworks, empirical case studies, and practical artifacts such as decision frameworks, governance templates, and maturity models. Cross-sector studies demonstrating tangible managerial outcomes and connections to organizational strategy and broader societal value are especially encouraged.

Appel publié par International Journal of Managing Projects in Business. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Data-driven decision-making in project environments: Exploring how data science enhances or transforms decision processes across the project lifecycle, including planning, monitoring, and risk management emphasizing chances, challenges and risk.
• Integration of data science methodologies into project management practices: Studies applying or adapting methods such as machine learning, data mining, or predictive analytics to project-specific contexts.
• Data science and project governance, ethics, and accountability: Examining the implications of algorithmic decision-making, data privacy, and ethical use of data in managing projects.
• The evolving role of the project manager in data-rich contexts: Investigating new competencies, skills, and leadership styles required for managing data-intensive or AI-augmented projects. Discussing the relationship between project managers and data science experts in project management.
• Real-time data, dashboards and analytics for project monitoring and control: Contributions on the design and limits, use and evaluation of real-time performance tracking and visualisation tools in project management.
• Data ecosystems and infrastructure in large-scale or complex projects: Studies addressing the architecture, integration, and governance of data sources across distributed project networks.
• Cross-disciplinary applications of data science in projects: Interdisciplinary work linking project management with fields such as operations research, information systems, computational social science, or engineering.
• AI, big data and automation in project scheduling, forecasting, and resource allocation: Empirical or conceptual work on how intelligent systems are used to optimize project efficiency and adaptability.
• Data-enabled project evaluation, benefits realisation, and impact assessment: Using data science to better measure and predict the value, outcomes, and sustainability of projects, including alignment with SDGs.
• Theoretical and conceptual contributions linking data science and project studies: Frameworks and models that critically examine the intersection of data science and project management as evolving disciplines.
• AI-empowered stakeholder engagement in large-scale or complex projects: Leveraging AI to enhance stakeholder analysis, communication, and collaboration in complex projects, optimizing engagement strategies and improving project outcomes through predictive insights and automated interaction tools.

Timeline

• January 4, 2026: Opening date for manuscripts submissions
• July 31, 2026: Closing date for abstract submission
• January 31, 2027: Closing date for manuscripts submission

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

Hew Soon-Hin, Multimedia University

Nigel Morgan, Manchester Metropolitan University

Giuseppe Piero-Guido, University of Calabria

Aleksandra Vujko, Singidunum University

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

Potential topics

• Smart-sensor enabled visitor behaviour analytics for resilient city centre tourism ecosystems
• Behavioural nudging via augmented reality to foster sustainable urban tourism practices
• Data-driven co-creation of urban tourism experiences engaging local residents and visitors
• Mobility platform integration and behavioural adaptation in smart tourism city hubs
• Gamification of eco-tourism behaviour in urban destinations employing IoT technologies
• Personalised micro-itineraries and behavioural segmentation for smart sustainable city tourism
• Digital twin modelling of tourist flows and behavioural responses in city centres
• Ethics, trust and behavioural change in AI-mediated urban tourism services
• Smart governance frameworks enabling behavioural innovation for inclusive urban tourism
• Wearable technologies and tourist behaviour monitoring to optimise smart city tourism
• Blockchain-enabled incentives for sustainable visitor behaviours in urban tourism environments

Timeline

• April 10, 2026: Abstract deadline
• September 20, 2026: Manuscript deadline

Bernd Schmitt, Columbia University

Ming-Hui Huang, National Taiwan University

Sanjay Sood, University of California, Los Angeles

Shuyi Hao, ICN Business School

AI is innovating how service experiences can be designed, curated, and delivered. Service that emphasizes experiential components, such as sensory, affective, cognitive, behavioral and social elements, are considered experiential service. Customer experience is multidimensional across multiple touchpoints, unfolds over the customer journey, can be enabled by various AI technologies, and can establish emotional connections with customers.

This special issue seeks to advance our understanding of how AI can enable experience innovation. By enabling personalization, adaptive interaction, and multisensory engagement, AI allows service providers to create new, innovative experiences and enables customers to participate in journeys that evolve dynamically with their needs and preferences. For examples, augmented and virtual reality technologies (AR/VR) are used in retailing to innovate experiences; extended-reality technologies (XR) are used to bring static museum exhibitions to life, mixed-reality technologies (MR) are used to blend real and virtual skill development, and AI technologies are used to enhance sports or entertainment experiences through digital images and surround sound.

Appel publié par Journal of Service Research. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• How do AI technologies (e.g., generative AI, agentic AI, AR, VR, XR, MR) innovate service experiences, and what design principles help service providers create engaging and meaningful experiences?
• How should AI-enabled experiences be orchestrated across physical, digital, and extended-reality touchpoints throughout the service journey?
• How can service providers create and scale AI-enabled experience innovations for human customers, hybrid human-AI customers, or autonomous AI customers to generate favorable outcomes for customers, providers, and ecosystems?
• What new experiential consequences and innovation outcomes arise from AI, and how can they be conceptualized, measured, and managed over time?
• What ethical, societal, or governance challenges arise and how can AI-enabled experience innovation be designed, governed, and managed responsibly?

Timeline

• August 1, 2026: Submission window opens
• September 3, 2026: Full papers due
• September 30, 2026: Submissions close
• August 1, 2027: Special issue planned publication

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 Management Accounting Research. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• September 30, 2027: Submission deadline

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 Transportation Research Part D: Transport and Environment. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Timeline

• November 30, 2026: Submission deadline

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

Timeline

• December 1, 2026: Submission deadline

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

Timeline

• September 1, 2026: Full paper submission deadline