-------- Forwarded Message --------
Call for Participation
56th Annual Hawaii International Conference on System Sciences
(HICSS-55)
January 3-6, 2023
Hyatt Regency Maui
Important Dates
June 15, 2022: Paper Submission Deadline (11:59 pm HST)
August 17, 2022: Notification of Acceptance/Rejection
September 4, 2022: Deadline for Authors to Submit Final Manuscript
for Publication
October 1, 2022: Deadline for at least one author of to register
for HICSS-54
Minitrack: Design and Appropriation of Knowledge and AI Systems
(
https://hicss.hawaii.edu/tracks-56/knowledge-innovation-and-entrepreneurial-systems/#design-and-appropriation-of-knowledge-and-ai-systems-minitrack
)
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:
1. how knowledge and AI systems are planned, designed, built,
implemented, used, evaluated, supported, upgraded, and evolved;
2. how knowledge and AI systems impact the context in which they
are embedded; and
3. 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 (adapted from Alter 2008). 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 and ethical 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 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.
Minitrack Co-Chairs:
For additional information or to submit abstracts, please contact
the minitrack co-chairs:
Pierre Hadaya, Université du Québec à Montréal, Canada,
hadaya.pierre@uqam.ca<mailto:hadaya.pierre@uqam.ca>
W. David Holford, Université du Québec à Montréal, Canada,
holford.w_david@uqam.ca<mailto:holford.w_david@uqam.ca>
Stefan Smolnik (Primary Contact), University of Hagen, Germany,
Stefan.Smolnik@FernUni-Hagen.de<mailto:Stefan.Smolnik@FernUni-Hagen.de>
[signature_1357851156]
_____________________________
Pierre Hadaya, Ph.D., A.S.C
Professeur ESG-UQAM
Éditeur Strategy Magazine
Tél. (514) 987-3000 ext. 3850