This special issue seeks research demonstrating how organizations apply systems theory and cybernetics to create tangible impact. Rather than focusing solely on theoretical development, the issue invites contributions showing practical benefits across management, education, engineering, and other domains where formal systems approaches are relevant. Diverse article types are welcomed, including case studies, practitioner papers, viewpoints, and technical reports, allowing authors to present their work in varied formats while maintaining clear arguments supported by suitable evidence.

The special issue addresses academia's responsibility to engage with grand societal challenges and sustainable development goals. Systems theory and cybernetics offer tools for understanding complex dynamics beyond simplistic solutions, enabling more comprehensive approaches to contemporary problems. Submissions examining applications in the Global South and Eastern Hemisphere, particularly those providing firsthand evidence of systems research's effectiveness in these contexts, are especially encouraged.

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

Potential topics

• Leading change in dynamic societies through complex-adaptive systems models
• Structure, practice, and impact of educational systems on employment, income, social transformation
• Added value of AI, blockchain, and other technical implementations of systems operations
• Effects of systems-oriented consulting services
• Limitations of systems designs and interplay with improvisation and heuristics
• Leadership systems development, application, and assessment
• Cultural differences and specificities affecting the application of formal systems models

Timeline

• January 2, 2026: Opening date for manuscripts submissions
• November 30, 2026: Closing date for manuscripts submission

Zuzana Virglerova, Tomas Bata University in Zlín

Nicola Capolupo, San Raffaele Roma University

The aim of this special issue is to explore how algorithmic and behavioral biases influence the adoption, use, and outcomes of Artificial Intelligence (AI) in organizational settings. As AI systems increasingly shape decision-making, human resource management, operational processes, and strategic planning, understanding how biases emerge and interact within socio-technical systems has become a critical scholarly and societal challenge.

The special issue seeks to integrate interdisciplinary perspectives to explain how biases arise both from AI systems and from the human and organizational decisions that design, implement, interpret, and govern them. It offers an original contribution by bridging two research streams that are often treated separately: algorithmic biases embedded in data, models, and computational architectures, and behavioral biases rooted in human cognition, organizational routines, and institutional structures. Building on socio-technical systems theory, AI is conceived as co-constructed by technologies, individuals, and the environments.

Appel publié par Business Process Management Journal. Lire l'appel complet sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Algorithmic biases in AI systems applied to HR and decision-making processes
• Cognitive and behavioral biases of users interacting with AI systems
• Governance, ethics, and regulation of AI in organizations
• Methodologies for identifying and mitigating socio-technical biases in work processes
• Organizational and social impacts of AI on equity, environment, inclusion, and job quality

Timeline

• June 1, 2026: Opening date for manuscripts submissions
• July 31, 2027: Closing date for manuscripts submission