[AISWorld] CfP HICSS-54 minitrack on Design and Appropriation of Knowledge and AI Systems - Deadline: June 15

[Stefan Smolnik]

(Apologies for cross-postings of this announcement.)

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CALL FOR PAPERS
54th Annual Hawai'i International Conference on System Sciences (HICSS-54)
January 5-8, 2021 (Tuesday-Friday)
Grand Hyatt Kauai, Kauai (
https://www.hyatt.com/en-US/hotel/hawaii/grand-hyatt-kauai-resort-and-spa/kauai
)

Minitrack: Design and Appropriation of Knowledge and AI Systems
(
https://hicss.hawaii.edu/tracks-54/knowledge-innovation-and-entrepreneurial-systems/#design-and-appropriation-of-knowledge-and-ai-systems-minitrack
)
Part of the Track: Knowledge Innovation and Entrepreneurial Systems

Minitrack description: 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. 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<at>fernuni-hagen.de
Pierre Hadaya, Université du Québec à Montréal, Canada, hadaya.pierre<at>
uqam.ca
David Holford, Université du Québec à Montréal, Canada, holford.w_david<at>
uqam.ca

Important Dates for HICSS-54 Paper Submission:
April 20, 2020: Paper submission begins
June 15, 2020 | 11:59 pm HST: Paper submission deadline
August 17, 2020: Notification of Acceptance/Rejection
September 4, 2020: Deadline for authors to submit the revised version of
papers accepted with mandatory changes (A-M)
September 11, 2020: Notification of Acceptance/Rejection for A-M papers
September 22, 2020: Deadline for authors to submit final manuscript for
publication
October 1, 2020: Deadline for at least one author of each paper to register
for HICSS-54

For further submission information, please see the general HICSS-54 Call
for Papers (https://hicss.hawaii.edu/authors/).