Call for Papers – Thematic Issue: "Business Process management in the Age of Digital Transformation"

2026-05-12

Business Process Management (BPM) has evolved from a modelling- and workflow-oriented field into an interdisciplinary research domain concerned with the design, governance, analysis, improvement, automation and transformation of organizational processes. Contemporary BPM connects management science, information systems, operations management, organizational studies, data science and artificial intelligence. In digital transformation, process-oriented thinking is central to understanding how organizations create value, coordinate work, build capabilities and respond to change.

Recent developments in process mining, object-centric process mining, intelligent workflow automation, robotic process automation, digital twins, generative AI and agentic AI are reshaping how processes are discovered, modelled, executed, monitored and improved. These developments raise theoretical, methodological and managerial questions about BPM capabilities, human-AI collaboration, autonomous agents, algorithmic decision-making, process governance and responsible management in complex socio-technical systems.

This English-language thematic issue invites submissions that advance theoretical, methodological and empirical knowledge on BPM in the age of digital transformation. Contributions may develop new theoretical perspectives, provide empirical evidence, propose and evaluate methods or artefacts, or examine BPM applications in organizational, industrial, national or European contexts. Only manuscripts written in English will be considered.

Possible topics include, but are not limited to:

  • BPM in digital transformation: capabilities, organizational redesign, process governance, strategic alignment and value creation.
  • Process mining and process intelligence: discovery, conformance checking, performance analysis, predictive and prescriptive monitoring, object-centric process mining and data-driven process improvement.
  • AI-enhanced and agentic BPM: generative AI, large language models, autonomous agents, human-AI collaboration, AI-supported modelling, execution, decision-making, governance and risk management.
  • Workflow automation and process-aware information systems: robotic process automation, low-code/no-code BPM, hyperautomation, process orchestration and enterprise systems.
  • BPM in industrial and operational contexts: Industry 4.0/5.0, manufacturing, logistics, supply chains, healthcare, public services, digital twins, quality management and process innovation beyond traditional business workflows.
  • Human, organizational and managerial dimensions of BPM: process culture, leadership, change management, routines, capabilities, maturity, resilience, compliance, sustainability and responsible process management.
  • BPM education, research and practice in Europe and Hungary: teaching, curricula, institutionalization, adoption, applications and comparative or local case studies.

We welcome empirical, or methodologically sound conceptual and interdisciplinary papers. Qualitative, quantitative, mixed-method, computational and design-oriented studies are encouraged, including case studies, action research, surveys, experiments, simulation, design science research, systematic literature reviews and bibliometric analyses. Submissions should articulate their contribution to international literature, demonstrate rigor, and explain implications for BPM research and management practice.

Manuscripts should be 6,000-9,000 words in length, approximately 12-15 journal pages, and should follow the journal's author guidelines (https://journals.lib.uni-corvinus.hu/index.php/vezetestudomany/about/submissions), including requirements concerning abstracts, keywords, references, anonymization, and double-blind peer review.

Guest editors:

  • Dr. habil. Richárd Kása, Head of Department, Associate Professor, Budapest University of Economics and Business,
    Faculty of Management, Department of Process Management, kasa.richard@uni-bge.hu
  • Kristóf Antal, Lecturer, Corvinus University of Budapest, Institute of Data Analytics and Information Systems;
    Scientific Director, BPM-H Business Process Management Professional Association of Hungary, kristof.antal@uni-corvinus.hu

Important dates:

  • Full paper submission deadline: 31 July 2026
  • Expected publication: first half of 2027

Submission information:

Manuscripts should be submitted through the journal's online manuscript management system under the thematic issue section "BPM" For professional inquiries, please contact the Guest Editors, for technical questions, please contact the editorial office (titkarsag.veztud@uni-corvinus.hu).