-------- Forwarded Message -------- Subject: [AISWorld] CfP: HICSS (2022) - Judgement, Big Data-Analytics, and Decision-making Minitrack Date: Thu, 15 Apr 2021 01:09:52 +0300 From: Nazim Taskin nazimtaskin@gmail.com To: aisworld@lists.aisnet.org
Dear colleagues,
Call for Papers
*HICSS (2022) - Judgement, Big Data-Analytics, and Decision-making Minitrack under Knowledge Innovation and Entrepreneurial Systems Track*
The goal of this minitrack is to monitor and advance our knowledge of the convergent technologies of big data and analytics and their role in augmenting knowledge for better management decision-making. The emphasis is on the humanistic aspects of knowledge innovation, by investigating how data-analytics, and big data analytics in particular, can be used to support human judgement and organizational knowledge.
This minitrack welcomes empirical research adopting quantitative, qualitative and design science methodologies, as well as conceptual papers that offer significant theoretical insights into the human- and knowledge-centric aspects of analytics, big data and decision-making. While technology plays a central role in the research relevant to this minitrack, overly technical or purely mathematical and algorithmic papers are out of scope of this minitrack.
Potential topics that this minitrack will address are, but not limited to:
· Theoretical and practical conceptualizations linking knowledge and judgement, big data/analytics and decision-making
· Knowledge innovation through emergent and convergent technologies (including big data and analytics)
· Knowledge innovation and the use of big data and analytics for decision makers and entrepreneurs
· Knowledge fallibility and cognitive biases in using big data and analytics
· Epistemic responsibility and its contribution to knowledge innovation
· Role of big data and analytics in leveraging intuition, judgement, and wisdom in organizations and society
· Socio-technical theories and application in the big data era
· Data-driven decision-making and the role of human input
· Analysis of web and social media big data including text mining, sentiment analysis, and emotion analysis for decision-making
· KM, big data and analytics for formulating business strategy and government policy
· Design, development, and use of KM and analytics technologies to support data-driven decisions, judgments, and strategies
· Organizational barriers and enablers of the use of technology for KM and business analytics in managerial and strategic decision- and policy-making
· Data visualization as knowledge tool for decision-making
· Real time analysis of knowledge including wisdom of the crowds-based research
· Data-knowledge transformation for strategic decision-making
· Business analytics and big data challenges in managing data-driven operational, managerial, and strategic decision-making
· Data Mining of tacit and explicit knowledge
· Organizational culture and data-driven organizations
· Issues concerning ethics, legality and security of data in judgement and decision-making
· Individual, Intra-, and inter-organizational KM and business analytics technologies
Conference website: https://hicss.hawaii.edu
Minitrack website: https://hicss.hawaii.edu/tracks-55/knowledge-innovation-and-entrepreneurial-...
Key dates (please check conference website for updates):
- June 15, 2021: Deadline for paper submission - August 17, 2021: Notification of acceptance decision - January 4-7, 2022: Conference
Minitrack co-chairs:
Professor David Pauleen, Massey University, d.pauleen@massey.ac.nz
Dr Nazim Taskin, Bogazici University, nazim.taskin@boun.edu.tr
Dr Kasuni Weerasinghe, Massey University, w.m.k.g.weerasinghe@massey.ac.nz
Dr Ali Intezari, University of Queensland, a.intezari@uq.edu.au _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org