Knowledge Innovation and Entrepreneurial Systems

The Knowledge, Innovation, and Entrepreneurial Systems (KIES) track aims to explore the factors that influence the development, adoption, use, and success of technological systems, such as culture, measurement, governance and management, storage and communication technologies, process modeling and development. The KIES track has a rich history and a vibrant research community at HICSS. The track originated from a task force that examined organizational memory in HICSS-27 in 1994. Since then, it has evolved into a mini-track, a research cluster, and finally a full research track that covers various topics related to knowledge, innovation, and entrepreneurial systems.

There has been a lot of interest in applied and generative AI since OpenAI released ChatGPT n November 30, 2022. AI and knowledge management (KM) are two fields that have a lot of synergy and potential for innovation. AI is the ability of machines to perform tasks that normally require human intelligence, such as reasoning, learning, and decision making. KM is the process of creating, sharing, and using knowledge within an organization. AI and KM can work together to enhance the creation and utilization of knowledge, as well as to automate and optimize business processes.

Some of the benefits of integrating AI and KM are:

• Improved knowledge discovery and access: AI can help users find the relevant and reliable knowledge they need from a large and complex knowledge base. AI can also provide personalized and contextualized recommendations based on the user's profile, preferences, and goals.
• Enhanced knowledge quality and value: AI can help validate, enrich, and update the knowledge in the knowledge base. AI can also help measure and evaluate the impact and value of the knowledge for the organization and its stakeholders.
• Increased knowledge innovation and creativity: AI can help generate new and novel knowledge based on the existing knowledge and data. AI can also help stimulate and support the creative and innovative thinking of the knowledge workers.
• Reduced knowledge gaps and barriers: AI can help bridge the gaps and overcome the barriers between different sources, formats, and languages of knowledge. AI can also help facilitate the knowledge sharing and collaboration among different groups and individuals.

KIES mini-tracks focus on specific aspects or domains of AI, knowledge, innovation, and entrepreneurial systems. After nearly thirty years at HICSS, we are excited to see the continued interest and growth in research topics relevant to tis track. For HICS57, mini-tracks include:

• Computing Education
• Design and Appropriation of Knowledge, Chatbot and Other AI Systems
• Design and Architectures of Data-Centric and Knowledge Based Systems
• Digitalization of Work
• Edtech and Emerging Technologies
• Game-Based Learning
• Global Digital Business
• Innovation and Entrepreneurship: Theory and Practice
• Knowledge Flows, Transfer, Sharing, and Exchange
• Knowledge and Learning Applications in Practice
• Knowledge Value, Success and Performance Measurements
• Securing Knowledge, Innovation, and Entrepreneurial Systems and Managing Knowledge Risks
• The Future of Knowledge Management: Visions, Opportunities, and Challenges
• The Technical, Socio-Economic, and Ethical Aspects of AI

As always, we are grateful for the significant efforts of our mini-track chairs, submitting authors, reviewers and HICSS administrators who continually seek to build, support and enable this community of scholars and friends. Mahalo! We look forward to seeing you all in person at the next conference. Aloha!

David T. Croasdell
University of Nevada, Reno
davec@unr.edu

Murray Jennex
West Texas A&M University
mjennex@wtamu.edu

*Introduction created with the assistance of a conversation with Bing ChatGPT4.0 11/4/2023