[AISWorld] CfP: HICSS (2022) - Judgement, Big Data-Analytics, and Decision-makingMinitrack

[Nazim Taskin]

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-systems/#judgement-big-data-analytics-and-decision-making-minitrack



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 at massey.ac.nz

Dr Nazim Taskin, Bogazici University, nazim.taskin at boun.edu.tr

Dr Kasuni Weerasinghe, Massey University, w.m.k.g.weerasinghe at massey.ac.nz

Dr Ali Intezari, University of Queensland, a.intezari at uq.edu.au