-------- Forwarded Message -------- Subject: [AISWorld] HICSS-54 minitrack: Design and Appropriation of Knowledge and AI Systems Date: Tue, 23 Jun 2020 18:39:16 +0000 From: Hadaya, Pierre hadaya.pierre@uqam.ca To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org
LAST CALL (with updated dates)
54th Annual Hawaii International Conference on System Sciences (HICSS-54) January 5-8, 2021 Grand Hyatt Kauai
Important Dates July 15, 2020: Papers due August 23, 2020: Notification to authors September 4, 2020: Revision due for papers accepted with mandatory changes September 11, 2020: Notifications to authors of revised papers September 22, 2020: Final manuscripts due
Minitrack: Design and Appropriation of Knowledge and AI Systems (https://hicss.hawaii.edu/tracks-54/knowledge-innovation-and-entrepreneurial-...) Track: Knowledge Innovation and Entrepreneurial Systems
The objective of this minitrack is to contribute to the body of knowledge that helps scholars and practitioners increase their collective understanding of: - How knowledge and AI systems are planned, designed, built, implemented, used, evaluated, supported, upgraded, and evolved; - How knowledge and AI systems impact the context in which they are embedded; and - The human behaviors reflected within and induced through both (1) and (2)
By knowledge and AI systems, we mean systems in which human participants and/or machines perform work (processes and activities) related to the creation, retention, transfer and/or application of knowledge using information, technology, and other resources to produce informational products and/or services for internal or external customers. Such systems may include, but are not limited to, knowledge management systems, decision systems, social media, expert systems, machine learning systems, and other AI systems as well as any other IT-enabled knowledge processes.
We welcome both design science and design theory research in knowledge and AI systems as well as behavioral research related to the appropriation of knowledge and AI systems in order to span the entire lifecycle of such systems. Topics relevant for submissions include, but are not limited to, the following:
- Theoretical models, methodologies, tools as well as technological and managerial practices for planning, designing, building, implementing, using, evaluating, supporting and upgrading knowledge and AI systems - Case studies focusing on the planning, designing, building, implementing, using, evaluating, supporting and upgrading of knowledge processes and technologies (e.g., virtual reality, social media, expert systems, data analytics, AI, machine learning, e-learning) - Systems design for social knowledge creation and use (e.g. social media system architectures) - Development of frameworks for classifying knowledge and AI systems - Incorporating and/or integrating knowledge services and mashups, social media, Web 2.0/3.0, cloud computing, and/or ubiquitous technologies in knowledge and AI systems - Appropriation and use of social media upon individual users, groups, businesses, and governments for supporting knowledge processes - Diversity aspects of designing and appropriating knowledge and AI systems - Changing organizational cultures and structures through knowledge and AI systems - Design, evaluation, and/or use of processes, semantic technologies, knowledge retrieval and representation methods, and/or systems to map, track and/or visualize social networks and/or work systems in order to facilitate knowledge creation and sharing and quick problem solving (e.g., when unexpected coordination breakdowns emerge) - Risks and challenges of knowledge and AI systems for knowledge practices (e.g. information overload, ‘operator hand-off’ problems, technostress, and protection of information assets) - Design processes, representations, and/or kernel (reference) theories for co-designing and/or co-evolving knowledge and AI systems - Technology-in-practice outcomes and processes across both technology-centric and socio-centric approaches to knowledge and AI systems design (as related to, but not limited to, various affordance and agency/agential frameworks, computer-supported cooperative work, etc.) - Human-computer interaction in a knowledge and AI systems context - Issues in, limitations of and barriers to accessing tacit knowledge with knowledge and AI systems - Human behaviors reflected within human-machine structuration phenomena
For additional information or to submit abstracts, please contact the minitrack co-chairs: Stefan Smolnik (Primary Contact), University of Hagen, Germany, Stefan.Smolnik@FernUni-Hagen.demailto:Stefan.Smolnik@FernUni-Hagen.de Pierre Hadaya, Université du Québec à Montréal, Canada, hadaya.pierre@uqam.camailto:hadaya.pierre@uqam.ca W. David Holford, Université du Québec à Montréal, Canada, holford.w_david@uqam.camailto:holford.w_david@uqam.ca
_________________________________________ Pierre Hadaya, Ph.D., A.S.C Professeur/Professor ESG-UQAM Éditeur en Chef/Editor in Chief Strategy Magazine Tél. (514) 987-3000 ext. 3850
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