Publication

All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted and presented papers will be published in the conference proceedings. The proceedings will be submitted to indexing databases, such as EI Compendex and Scopus, subject to their scope and acceptance criteria.

Introduction: The VINE Journal of Information and Knowledge Management Systems recognizes the reality and need of organizations, both governmental and private, to operate in a highly interdependent world, where collaboration and knowledge/information are the predominant assets for getting things done; and, in many cases, critical for achieving competitive advantage.
A combination of topical themed issues, well-researched, timely, unbiased articles, and practical overviews which can be applied in the workplace ensure that the journal offers lively and topical coverage of developments in the field.
To this end, the 2026 6th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2026) is pleased to announce that, the VINE Journal of Information and Knowledge Management Systems (Emerald Publishing) has approved to be listed as the potential publication venue for submissions from ICBAR 2026. The conference warmly invites scholars working in this field to follow this call for papers and to submit their manuscripts for consideration.
Authors should note that submissions to VINE are subject to the journal's standard double-anonymous peer review process handled by the journal's editorial team. While contributions to the journal are welcome, all manuscripts must successfully complete the review process and therefore acceptance cannot be guaranteed. Final publication decisions remain the responsibility of the journal's Editor-in-Chief.
VINE Journal of Information and Knowledge Management Systems welcomes theoretically grounded and methodologically rigorous research that advances understanding of information and knowledge management in organizational, technological, and societal contexts. Potential topics include, but are not limited to:
Knowledge management processes and practices: Knowledge creation, acquisition, sharing, transfer, integration, application, retention, organizational memory, and knowledge-based collaboration.
Knowledge behaviours and governance: Knowledge hiding, hoarding, protection, leakage, and the organizational, social, and technological mechanisms influencing knowledge-related behaviours.
Intellectual capital and intangible resources: Human, structural, relational, and social capital; intellectual capital development, measurement, management, and value creation, including green intellectual capital.
Information and knowledge management systems: The design, adoption, implementation, use, and organizational implications of knowledge management systems, enterprise content management, decision support systems, and other information systems supporting knowledge-intensive activities.
Data management, analytics, and business intelligence: Data and information governance, information quality, data-driven decision-making, business intelligence, and analytics, with particular attention to their implications for information and knowledge management practices, capabilities, and organizational outcomes.
Artificial intelligence and emerging digital technologies: The implications of AI, generative AI, blockchain, cloud computing, social media, and digital collaboration platforms for knowledge processes, organizational learning, decision-making, and knowledge-intensive work.
Organizational learning, innovation, and knowledge-based capabilities: Organizational learning, absorptive capacity, dynamic capabilities, knowledge-based innovation, and the contribution of knowledge resources and processes to organizational performance and competitive advantage.
Strategic and organizational dimensions of knowledge management: Knowledge management strategies, organizational culture, leadership, organizational structures, knowledge governance, and the management of knowledge-intensive organizations and activities.
Sustainability and responsible information and knowledge management: Green knowledge management, knowledge-based approaches to sustainability, responsible information practices, and the role of information and knowledge management in addressing environmental, social, and governance challenges.
The journal welcomes research conducted across a wide range of organizational, institutional, and geographical contexts, including public administration and digital government, small and medium-sized enterprises, entrepreneurial and family firms, non-profit and international organizations, higher education and research institutions, and knowledge-intensive professional services.
Research focusing on specific industries, sectors, or geographical settings is welcome when it offers insights and contributions that extend beyond the particular context investigated.
The journal welcomes quantitative, qualitative, mixed-methods, conceptual, and computational research approaches, provided they are appropriate to the research questions and demonstrate methodological rigor. Relevant approaches include surveys, experiments, case studies, longitudinal research, structural equation modelling, comparative and mixed-methods designs, systematic literature reviews, bibliometric analyses, and other established or emerging research methods.
Across all topics, contexts, and methodological approaches, submissions should demonstrate a clear and substantive contribution to information and/or knowledge management scholarship.
2026 6th International Conference on Big Data, Artificial Intelligence and Risk Management (ICBAR 2026)
http://icbar.net/
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