Kaifeng Yang, Rutgers University–Newark

Equity in public performance management remains underoperationalized despite being recognized as fundamental to public administration. Recent governmental experiments with equity indicators and disaggregated data offer opportunities to examine how distributional questions can be integrated into organizational decision-making, yet significant gaps remain in understanding the translation from measurement to actual outcomes.

This symposium addresses three urgent challenges: understanding how equity information influences managerial practice, managing implications of artificial intelligence for equity outcomes, and sustaining equity commitments amid shifting political landscapes. The call seeks both academic research and practitioner expertise to bridge research-practice gaps and develop frameworks for public organizations pursuing equitable performance.

The symposium welcomes international perspectives on managing for equitable performance across different contexts. Research using quantitative, qualitative, experimental, and mixed methods is encouraged, including critical and participatory approaches that center marginalized voices.

Appel publié par Public Performance & Management Review. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Equity indicators and disaggregated data in performance management
• Managerial decision-making and equity information
• Street-level discretion and service design
• Leadership and analytic capacity for equity
• Gaming and unintended consequences of equity metrics
• Adoption and implementation of equity initiatives
• Stakeholder power and institutional capacity
• Equity-weighted indicators and gap-closing measures
• Defining equity standards and community voice
• Political polarization and equity goals
• AI and algorithmic equity
• Technology assessment and algorithmic accountability
• Frontline worker interactions with algorithmic tools
• Sustaining equity initiatives under political change
• Equity office institutionalization and relabeling
• Longitudinal studies of equity initiatives
• Communication and framing of equity
• Policy networks and diffusion of equity approaches

Timeline

• November 10, 2026: Abstract deadline
• August 10, 2027: Manuscript deadline

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

Abdel Lisser, Paris-Saclay University

Jia Liu, Xi'an Jiaotong University

Francesca Maggioni, University of Bergamo

S. K. Neogy, Indian Statistical Institute

Vikas Vikram Singh, Indian Institute of Technology Delhi

This special issue brings together recent advances in optimization and decision-making under uncertainty, focusing on theoretical contributions that strengthen the mathematical foundations and algorithmic techniques in operations research. The scope encompasses developments in stochastic, robust, and distributionally robust optimization, game theory, sequential decision-making, and learning-based methods that have expanded modern operations research's applicability.

The special issue welcomes original research presenting new optimization models, theoretical results, computational methodologies, and convergence analyses. While organized alongside ICORSI 2026 held at Indian Institute of Technology Delhi, the issue is open to all researchers in these areas regardless of conference participation.

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

Potential topics

• Mathematical programming
• Convex, nonconvex, and mixed-integer optimization
• Stochastic, robust, and distributionally robust optimization
• Chance-constrained optimization
• Variational inequalities and equilibrium problems
• Game theory and multi-agent optimization
• Markov decision processes and stochastic games
• Reinforcement learning for sequential decision making
• Online and data-driven optimization
• Optimization under risk measures
• Bayesian optimization
• Black-box optimization

Timeline

• March 31, 2028: Submission deadline

Raffaele Filieri, Audencia Business School

Elmira Djafarova, Northumbria University

Margot Racat, IDRAC Business School

Veronika Keller, Szechenyi Istvan University

Rickard Enstroem, MacEwan University

Social media influencer marketing faces uncertainty amid algorithm fatigue, regulatory scrutiny, declining consumer trust, and AI-generated influencers. Traditional theoretical frameworks struggle to explain how AI content, algorithmic curation, and synthetic personas reshape influence dynamics.

This special issue examines whether traditional influencer marketing is ending or undergoing paradigm shift in how influence is constructed, monetized, and governed. It explores how authenticity, artificial intelligence, and algorithmic mediation intersect to reshape influence practices while addressing emerging regulatory frameworks.

The issue welcomes empirically grounded contributions from multiple disciplines including strategy, media studies, consumer behavior, and technology management. It particularly encourages interdisciplinary, globally inclusive research examining non-Western contexts, emerging platforms, and underrepresented influencer communities.

Appel publié par Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Trust, credibility, and authenticity in digital influence
• Algorithmic mediation, platform governance, and market structure
• Consumer resistance, fatigue, and agency
• Virtual influencers, AI, and synthetic content
• Cultural, generational, and global perspectives on influence
• Professionalization, labor, and monetization in the creator economy
• Ethics, power, and the dark side of influencer marketing
• Expanding contexts of influence in B2B, nonprofit, and public sectors
• Strategic navigation of platforms, algorithms, and AI tools across global-local digital markets
• Authenticity and trust negotiation in activism, sustainability, and cause-related marketing

Timeline

• December 31, 2026: Submission Deadline
• March 1, 2027: Final Decisions and Revisions

Aljona Zorina, NEOMA Business School

Ella Hafermalz, Vrije Universiteit Amsterdam

Thomas Grisold, WU Vienna

Aron Lindberg, Stevens Institute of Technology

Mahya Ostovar, University of Galway

Digital visibility—making oneself or others visible through digital technologies—has become central to modern organizing, yet remains theoretically fragmented. Algorithmic systems and digital infrastructures increasingly determine how individuals and collectives become visible, valued, or excluded, fundamentally reshaping coordination, communication, and collaboration. The special issue addresses how visibility has shifted from a secondary organizational feature to a primary mechanism through which strategy, power, identity, and modes of organizing are constructed.

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

Potential topics

• Technologies and infrastructures of visibility, including blockchains, algorithmic social media feeds, AI-generated content, and data infrastructures
• Non-human agents and automated systems, including bots, digital twins, and avatars as participants in constructing visibility
• Data practices and visibility construction, including data capture, inclusion, omission, and the politics of data
• Decision support and critical systems in healthcare, security, engineering, and hiring, and how they influence visibility
• Experiences and social dynamics of digital invisibility, including visibility work, filter bubbles, and hyper-personalization
• Strategy, power, and digital identity management, including algorithmic performance and visibility games
• Non-human governance and political economies, including algorithmic management and blockchain-based systems
• Trust, truth, and security in digitally visible environments, including verification and watermarks
• Individual and societal impacts of digital visibility on well-being, identity, autonomy, and civil liberties
• Organizational and workplace consequences of digital visibility on trust, autonomy, innovation, and knowledge sharing
• Ethical and governance consequences of digital visibility systems, including accountability mechanisms and stakeholder roles

Timeline

• September 7, 2026: Optional abstract submission for Paper Development Workshop
• October 5, 2026: Feedback on abstracts via email
• December 1, 2026: Invited five-page abstract due for Paper Development Workshop
• December 9, 2026: Online Paper Development Workshop
• March 31, 2027: First-round submissions to the journal due
• June 30, 2027: First-round decisions expected
• July 30, 2027: Revision Plan Meeting with SI Editors (optional)
• September 30, 2027: Second-round revisions due
• November 30, 2027: Second-round decisions expected
• February 28, 2028: Third and final revisions submissions due
• April 30, 2028: Final decisions expected

Associate editors

• Andreas Eckhardt, University of Innsbruck
• Robert Fichman, Boston College
• Andreas Hein, University of St. Gallen
• Mayur Joshi, Telfer School of Management
• Lise Justesen, Copenhagen Business School
• Waldemar Kremser, Johannes Kepler University
• Virginia Leavell, Cambridge Judge Business School
• Julian Lehmann, Arizona State University
• Silvia Masiero, University of Oslo
• Afshin Mehrpouya, University of Edinburgh Business School
• Josh Morton, Leeds University Business School
• Stella Pachidi, King's Business School
• Mariia Petryk, George Mason University
• Ursula Plesner, Copenhagen Business School
• Carolina Alves de Lima Salge, University of Georgia
• Karla Sayegh, Cambridge Judge Business School
• Lisen Selander, University of Gothenburg
• Maha Shaikh, ESADE
• Maura Soekijad, Vrije Universiteit Amsterdam
• Marta Stelmaszak-Rosa, UMass Amherst
• Elmira Van den Broek, Stockholm School of Economics
• Joao Veira Da Cunha, IESEG
• Bei Yan, Stevens Institute of Technology