-------- Forwarded Message -------- Subject: [AISWorld] HICSS-53 minitrack " Design and Appropriation of Knowledge and AI Systems" Date: Thu, 21 Mar 2019 16:40:02 +0000 From: Hadaya, Pierre hadaya.pierre@uqam.ca To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

53rd Annual Hawaii International Conference on System Sciences (HICSS-53) January 7-10, 2020 Grand Wailea, Maui

Important Dates for Paper Submission April 15, 2019: Paper Submission System Launched June 15, 2019: 11:59 pm HST: Paper Submission Deadline August 17, 2019: Notification of Acceptance/Rejection September 4, 2019: Deadline for authors to submit the revised version of papers accepted with mandatory changes (A-M) September 22, 2019: Deadline for Authors to Submit Final Manuscript for Publication October 1, 2019: Deadline for at least one author of each paper to register for HICSS-53

Minitrack: Design and Appropriation of Knowledge and AI Systems (http://hicss.hawaii.edu/tracks-53/knowledge-innovation-and-entrepreneurial-s... 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) (adapted from Benbasat and Zmud 2003).

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 • 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, 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 • 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.de Pierre Hadaya, Université du Québec à Montréal, Canada, hadaya.pierre@uqam.ca W. David Holford, Université du Québec à Montréal, Canada, holford.w_david@uqam.ca

For further submission information, please see the general HICSS-51 Call for Papers (http://hicss.hawaii.edu/tracks-and-minitracks/authors).

Pierre Hadaya, Ph. D. Professeur/Professor Département de Management et Technologie ESG-UQAM Tél. 514 987 3000 #3850 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org