Knowledge Innovation and Entrepreneurial Systems

The knowledge-based view emphasizes the importance of knowledge for organizations to retain their competitive advantage. The success of knowledge sharing practices is vital because it results in shared intellectual capital. Knowledge sharing success lies in the employees’ capability to share they know and how they know it. Knowledge systems support sharing practices through their ability to identify, capture, organize, store and disseminate ideas, practices and processes that can impact organizational performance. To the extent such systems can be innovative in their approach to managing organizational resources enables strategies that can foster competitive advantage. Entrepreneurial practices pursue and embed innovation. The Knowledge Innovation and

Entrepreneurial Systems track presents research at the intersection of innovative knowledge ideas and practices that enable positive change in organizations. Manuscripts explore systems developed to foster creativity and innovation while facilitating collaboration via knowledge capture, storage and transfer. Evolving infrastructures such as the Internet of Things, the Location of Things and the sharing economy are creating invaluable information assets that, if properly utilized, can deliver positive impacts to organizational performance.

Twelve mini-tracks attracted paper submissions for the KIES research track. The track chairs, mini-track chairs and HICSS administrators seek to preserve and grow the strong community of scholars. We appreciate the efforts of all our colleagues who submitted and/or reviewed papers – as always, the ideas, insights and comments shared through your work are invaluable. Thank you!

2020 Vision of Crowd Science focuses on the study of the organizational use of IT-mediated Crowds as a phenomenon to enhance knowledge work.

Culture, International Business, and Knowledge Systems explores the impact and role of culture on managing knowledge and designing and implementing knowledge systems within groups and organizations

Design and Appropriation Of Knowledge and AI Systems explores how knowledge and AI systems are planned, designed, built, implemented, used, evaluated, supported, upgraded, and evolved; and how knowledge and AI systems impact the context in which they are embedded.

Illuminating The Dark Side of Knowledge explores a “dark side” that holds enormous risks for individuals, communities, organizations and even whole societies.

Innovation and Entrepreneurship Theory and Practice presents research cases on the role that integration of KM principles and systems may play in facilitating entrepreneurial enterprises.

Innovation in Organizations: Learning, Unlearning, and Intentional Forgetting addresses the learning and forgetting paradigms in organizations and information systems. Additionally, the process of unlearning is explored.

Knowledge Flows, Transfer, Sharing, and Exchange presents manuscripts that examine the nature and role of knowledge flows among entities. Technical, managerial, behavioral, organizational, & economic perspectives are explored.

Knowledge and Innovation Management: Connecting Theory to Practice to Business Performance explores how technology developers need to identify key uncertainties of the innovation during the early phases of the technology’s development.

Reports from the Field: Knowledge and Learning Applications in Practice considers KM practices by providing a “bridge” between the KM systems practitioner community and the scholars that build theory and conduct research in that domain.

Security in Knowledge Systems and Knowledge Management investigates issues related to security and protection of intellectual assets and explore how organizations can use security measures to protect their KM practices.

The Technical, Socio-Economic and Ethical Aspects of AI explores how to build and implement AI systems that support humans without expressing bias or other ethical concerns.

Value, Success and Performance Measurements of Knowledge, Innovation and Entrepreneurial Systems explores strategies, methodologies, and stories related to performance measurements that can be used to assess various aspects of and success of KM.

Murray E. Jennex
San Diego State University
mjennex@sdsu.edu

Dave Croasdell
University of Nevada, Reno
dave@unr.edu

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