[AISWorld] CfP: HICSS (2023) - Judgement, Big Data-Analytics, and Decision-making Minitrack

[Nazim Taskin]

Dear colleagues,



Call for Papers



*HICSS (2023) - 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 of
the track 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.



Creating, gathering, analyzing and judging reliable data and information,
and more importantly, transforming them into actionable knowledge is
becoming increasingly critical in decision-making. Equally important is the
need to mitigate the increasingly harmful effects of misinformation and
disinformation. 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, while disregarding misinformation and
disinformation, and eventually transforming them into 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 minitrack 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 minitrack, overly technical
or purely mathematical and algorithmic papers are out of scope of this
minitrack. 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, 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
   - Mitigating the effects of misinformation and disinformation in data
   acquisition and analysis
   - Knowledge management (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, judgements, 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 operational, managerial and
   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
   - Using multi-source heterogenous data for decision making
   - Datamining-based recommendation systems and their use in decision
   making



Conference website: https://hicss.hawaii.edu

Minitrack website:
https://hicss.hawaii.edu/tracks-56/knowledge-innovation-and-entrepreneurial-systems/#judgement-big-data-analytics-and-decision-making-minitrack



Key dates (please check conference website for updates):

·       June 15: Paper Submission Deadline

·       September 22: Final Manuscript Submission Deadline

·       Conference date: January 3-6, 2023


Minitrack Co-Chairs:

*David Pauleen*, Massey University, d.pauleen at massey.ac.nz

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

*Nazim Taskin, *Bogazici University, Nazim.Taskin at boun.edu.tr

*Shafiq Alam, *Massey University, s.alam1 at massey.ac.nz