-------- Forwarded Message -------- Subject: [AISWorld] HICSS (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making Track: Knowledge Innovation and Entrepreneurial Systems Date: Wed, 6 May 2020 20:48:45 +1200 From: Nazim Taskin nazimtaskin@gmail.com To: aisworld@lists.aisnet.org
Dear colleagues,
Call for Papers
HICSS (2021) - Mini-Track: Judgement, Big Data-Analytics and Decision-making
Track: Knowledge Innovation and Entrepreneurial Systems
Gathering, analyzing and judging reliable data and information, and more importantly, transforming them into actionable knowledge is becoming increasingly critical in decision-making. Human judgement, based on experience and knowledge, plays an important role in all facets of decision-making, but may be incomplete in certain decision situations. The study of the transformation of data into useful information and eventually knowledge and wisdom through the use of increasingly sophisticated analytics for management decision making is an important, emerging field of research and deserves further study.
This mini track welcomes empirical research adopting quantitative, qualitative and design science methodologies, as well as conceptual papers that offer theoretical insights into the human- and knowledge-centric aspects of analytics, big data and decision-making. While technology plays a centric role in the research relevant to this mini-track, overly technical or purely mathematical and algorithmic papers are out of scope of this mini-track.
Potential topics that this mini-track will address are (but not limited to):
· 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
· Role of big data and analytics in leveraging intuition, judgment, 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
· Knowledge management, 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 judgment and decision making
· Individual, Intra-, and inter-organizational KM and business analytics technologies
Deadlines:
· April 20: Paper submission begins
· June 15: Paper submission deadline
· August 17: Notification of Acceptance/Rejection
· September 22: Deadline for authors to submit final manuscript for publication
· October 1: Deadline for at least one author of accepted paper to register for the conference
Conference website: https://hicss.hawaii.edu/
Conference Date: January 5-8, 2021
Mini-Track Chairs:
Prof David J Pauleen (Primary Contact Person)
Professor of Technology Management,
School of Management, Massey University, Auckland, New Zealand
d.pauleen@massey.ac.nz
Dr Nazim Taskin
Senior Lecturer
School of Management, Massey University, Auckland, New Zealand
n.taskin@massey.ac.nz
Dr Kasuni Weerasinghe
Lecturer Management Information Systems
School of Management, Massey University, Auckland, New Zealand
w.m.k.g.weerasinghe@massey.ac.nz
Dr Ali Intezari
Lecturer in Management
School of Business, St. Lucia Campus, The University of Queensland, Australia
a.intezari@business.uq.edu.au _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org