Yang Feng, California State University, Fullerton

Quan Xie, Southern Methodist University

Joanna Strycharz, University of Amsterdam

Artificial intelligence is transforming advertising at multiple levels: as a tool for creative and strategic work, and as an autonomous agent capable of planning and executing tasks independently. This transformation raises fundamental questions about how advertising professionals collaborate with AI systems, how roles and authorship are being redefined, how consumers respond to AI-driven advertising, and what research methods and ethical safeguards are needed when AI participates in the research process itself.

The special issue invites contributions addressing three interconnected domains: human-AI collaboration in advertising practice and creative work; how AI-generated and AI-personalized advertising affects consumer perception and behavior; and how researchers should adapt their methodologies, standards, and ethical frameworks when collaborating with AI in data collection, stimulus generation, and analysis. Submissions may employ any methodological approach and should move beyond describing tools toward deeper insights about advertising, persuasion, and communication in the age of AI.

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

Potential topics

• Human-AI collaboration in advertising creative processes, including authorship, creative judgment, and practitioner roles across different contexts of advertising
• AI-assisted campaign strategy, optimization, and automated decision-making
• Agentic AI as a proactive partner in advertising practice and its implications for human oversight and accountability
• Governance structures for human-AI collaboration in advertising agencies and brand organizations
• The full range of human-AI collaborative modes, from tool use to co-creation to agentic delegation, and their implications for advertising practice and governance
• Human-AI collaboration in prosocial and public interest advertising
• Consumer perception, emotion, evaluation, and response to AI-generated advertising
• AI-driven personalization and its effects on persuasion, privacy, and consumer trust, consent, data protection, and consumer vulnerability
• Anthropomorphism, virtual influencers, AI digital twins, and AI agents as advertising vehicles
• AI advertising across diverse contexts, such as PSAs, health communication, political advertising, public policy, and nonprofit campaigns
• Ethical implications of AI advertising for vulnerable audiences, including children, older adults, patients, and politically targeted publics
• Consumer awareness, literacy, and resistance in response to AI-driven advertising systems
• Construct validity and stimulus equivalence in advertising experiments using AI-generated materials
• Reliability and replicability standards for AI-assisted advertising research
• Validity of AI-mediated data collection in advertising research
• Research ethics of AI-simulated participants and agentic data collection in advertising studies
• Privacy, consent, and data protection in AI-assisted research, synthetic data, and agentic data collection
• Bias and representational equity introduced through AI-assisted research designs and/or AI-generated advertising content
• Theoretical implications of human-AI collaboration for established advertising frameworks
• Agentic AI in advertising research and the governance structures needed to maintain scholarly rigor

Timeline

• August 1, 2027: Submission window opens
• August 31, 2027: Manuscript deadline

This special issue focuses on the importance of publishing research that yields null or negative findings in corporate social responsibility and corporate social advocacy studies. The issue seeks to challenge the publication bias toward positive results and highlight how non-findings contribute valuable insights to advancing knowledge in these fields.

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

Timeline

• January 5, 2027: Submission deadline

Ahmed Abbasi, University of Notre Dame

Martin Bichler, Technical University of Munich

Ram Gopal, University of Warwick

Elena Karahanna, University of Georgia

Suprateek Sarker, University of Virginia

Generative Artificial Intelligence (GenAI) is rapidly reshaping not only organizations, markets, and technologies, but also the practice of scientific research itself. Large language models, multimodal foundation models, and increasingly agentic AI systems now participate in activities such as literature discovery, theorizing, data analysis, simulation, coding, and writing.

This Special Issue seeks papers that push the boundaries of what can be achieved through innovative, rigorous, and responsible use of Generative AI in the information systems research process. Rather than focusing on GenAI solely as an object of empirical study, the SI emphasizes GenAI as a research collaborator, instrument, and infrastructure.

The ambition of the SI is twofold: to publish a small number of exemplary papers that demonstrate novel research capabilities enabled by GenAI, and to advance shared principles, frameworks, and practices that will shape how information systems research is conducted and reported in an era of human–AI collaboration.

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

Potential topics

• Hybrid human–AI workflows for coding, classification, or sensemaking
• GenAI-supported measurement development, construct validation, or scale refinement
• GenAI-supported survey design, sampling, and survey administration
• GenAI-supported experimental design, treatment generation, and implementation
• GenAI-supported computational theory construction
• Simulation, agent-based modeling, or scenario generation
• GenAI-enabled qualitative analysis, theory building, or inductive discovery
• GenAI-assisted econometric modeling, estimation, or robustness analysis
• AI-supported proof search, counterexample generation, or equilibrium exploration
• Discovery or validation of analytical models using generative simulation
• GenAI-assisted testing of operational utility and/or design validity
• Design and evaluation of GenAI-based tools for IS research
• Reproducible pipelines, benchmarks, and evaluation harnesses
• Systems supporting transparency, provenance, and verification

Timeline

• September 7, 2026: Submission deadline
• November 20, 2026: First-round decisions
• December 13, 2026: ICIS Workshop
• January 15, 2027: Optional online workshop
• February 15, 2027: Final version submitted
• May 1, 2027: Final decisions

Wayne Thomas, University of Oklahoma

Alessandro Ghio, ESCP

Accounting Horizons aims to bridge accounting academics and non-academics (e.g., practitioners, standard setters, and regulators) by publishing rigorous academic research and thought-provoking perspectives that are pertinent to the accounting profession. Most accounting research in the past few decades uses archival, experimental, or analytical methods, rather than other research methods, such as literature reviews, surveys, interviews, and field studies. Accounting Horizons recognizes that these other research methods have an important role to play in bridging the gap between academic research and accounting practice.

Literature review articles can inform academics about what knowledge has been discovered and where gaps exist. These articles can be particularly useful to non-academics who are interested in the given topic and seek insights from research. Literature review articles in Accounting Horizons should focus on specific topics relevant to practice and be written for both academics and non-academics who are interested in the topic, using plain language and avoiding jargon.

Appel publié par Accounting Horizons. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Literature review articles on topics relevant to accounting practice
• Survey research on important accounting issues
• Interview-based research gathering input from practitioners and non-academics
• Field studies in accounting contexts
• Qualitative research using positivist, interpretive, or critical paradigmatic lenses
• Research methods beyond traditional archival, experimental, and analytical approaches

Timeline

• December 31, 2026: Deadline for submitting research proposals. This is an open call that will continue accepting submissions until this date.
• February 18, 2027: Deadline for submitting completed article following first-stage approval of research proposal.

Anaïs Boutru, Université Paris-Dauphine, PSL

Linda Rouleau, HEC Montréal

Géraldine Schmidt, Université Paris 1 Panthéon-Sorbonne

Albéric Tellier, Université Paris-Dauphine, PSL

Management research has long been populated by celebrated cases that have achieved the status of founding myths. Cases such as IBM's blindness to personal computing, Xerox's strategic myopia toward the graphical user interface, Nokia's fall to smartphones, the Mann Gulch fire, and Elton Mayo's Hawthorne experiments have become ubiquitous in the field's collective memory. These 'cold cases', endlessly cited and taught, structure ways of thinking and provide a shared foundation of representations that are central to the construction of epistemic communities.

Despite their pervasive influence, few studies scrutinize the empirical robustness, theoretical validity, or performativity of these emblematic cases. In management research, particularly in qualitative research, the risk of circularity is significant. Researchers working with inevitably heterogeneous and incomplete material may, even unconsciously, select data that confirm their theoretical priors, set aside disconfirming evidence, and ultimately favor demonstrations of the 'as if' type.

Appel publié par M@n@gement. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Reexamination and reinterpretation of canonical management cases (IBM, Xerox, Nokia, Kodak, Enron, etc.)
• Empirical robustness and theoretical validity of emblematic cases in management scholarship
• Performativity of famous cases and their role as epistemic artifacts
• Processes of canonization and erasure in disciplinary memory
• Circularity in qualitative management research and issues of confirmation bias
• Role of founding myths in structuring management thinking and epistemic communities
• Halo effects and the stratification of knowledge in management research
• Forgotten cases and alternative narratives in management history
• Critical reexamination of the Hawthorne experiments and other foundational studies
• Replication, falsification, and verification in management research
• Archaeology of management knowledge and disciplinary self-reflexivity

Timeline

• October 14, 2026: Pre-submission workshop (online)
• December 31, 2026: Full paper submission deadline

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

Timeline

• March 31, 2027: Submission deadline