The unprecedented increase in the amount of data available for processing has created novel innovative opportunities for individuals, organizations, and society. This is creating a huge impact across industries (e.g. healthcare, finance, energy, retail and sports) when engaging in complex analytical tasks. The ability to manage big data and generate insights is also leading towards significant organizational transformation. At a higher level, big data and analytics applications are driving positive impact in society in areas, such as health and well-being (e.g. in the fight against Covid19), poverty mitigation, food security, energy, and sustainability. Organizations are allocating greater resources to enhance and develop new innovative applications of advanced analytics capabilities. As organizations transform into data and analytics centric enterprises (e.g. health insurance companies, automobile companies), more research is needed on the technical, behavioral, and organizational aspects of this progress. On one hand, research focused on the creation and application of new data science approaches, like deep learning and cognitive computing, can inform different ways to enhance decision making and improve outcomes. On the other hand, research on organizational issues in the analytics context can inform industry leaders on handling various organizational and technical opportunities along with various challenges associated with building and executing big data driven organization. Examples include data and process governance and ethics and integrity issues, management and leadership, and driving innovation and entrepreneurship.

The track “Data Science and Analytics for Decision Support” seeks original research that promotes technical, theoretical, design science, pedagogical, and behavioral research as well as emerging applications in analytics and big data. Topics include (but are not limited to) data analytics and visualization from varied data sources (e.g. sensors or IoT data, text, multimedia, clickstreams, user-generated content) involving issues dealing with curation; management and infrastructure for (big) data; standards, semantics, privacy, security, legal and ethical issues in big data, analytics and KM (knowledge management); intelligence and scientific discovery using big data; analytics applications in various domains such as smart cities, smart grids, financial fraud detection, digital learning, healthcare, criminal justice, energy, environmental and scientific domains, sustainability; business process management applications such as process discovery, performance analysis, process conformance and mining using analytics and KM, cost-sensitive, value-oriented, and data-driven decision analysis, and optimization. Visionary research on new and emerging topics that make innovative contributions to the field are also welcome.

Track Chairs:
Ciara Heavin, University College Cork, c.heavin@ucc.ie
Aleš Popovič, University of Ljubljana, School of Economics and Business, ales.popovic@ef.uni-lj.si
Vic Matta, Ohio University, matta@ohio.edu
Schedule

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2022
Wednesday, August 10th
12:00 AM

A data analytics organisation’s perspective on the technical enabling factors for organisational AI adoption

Danie Smit, University of Pretoria
Sunet Eybers, University of Pretoria
Alta de Waal, University of Pretoria

12:00 AM

An Exploratory Study of Airbnb Customer Reviews and Impact of COVID - 19

Gopika Malik, Appalachian State University
Indika Dissanayake, The University Of North Carolina At Greensboro
Lakshmi Iyer, Appalachian State University
Jason Xiong, Appalachian State University

12:00 AM

Analyzing Controversial Topics within Facebook

Clifford L. Short, Auburn University
Gabrielle Taylor, Auburn University
Ashish Gupta, Auburn University
Xiao Qin, Auburn University

12:00 AM

Caution or Trust in AI? How to design XAI in sensitive Use Cases?

Anika Kloker, University of Graz
Jürgen Fleiß, University of Graz
Christoph Koeth, Fresenius Kabi Austria GmbH
Thomas Kloiber, Leftshift One Software GmbH
Patrick Ratheiser, Leftshift One Software GmbH
Stefan Thalmann, University of Graz

12:00 AM

Characteristics of Great Workplaces: A Text Mining Approach

Tuncay Bayrak, Western New England University

12:00 AM

Defining Characteristics of The Most Innovative Companies

Tuncay Bayrak, Western New England University

12:00 AM

Does Use of Twitter by Political Leaders Matter in a Health Crisis? The Perspective of COVID-19

Mohammad Moinul Islam Murad, The University of Texas at Arlington
Mahyar Vaghefi, University of Texas at Arlington
Sridhar Nerur, University of Texas at Arlington
Radha Mahapatra, The University of Texas at Arlington

12:00 AM

Identifying Turnover Contagion in Enterprise Social Networks

Xin Wei, Tianjin University, College of Management and Economics
Xi Zhang, Tianjin University
Carol Ou, Tilburg University
Hengshu Zhu, Baidu Inc

12:00 AM

Influence of corporate industry affiliation in Financial Business Forecasting: A data analysis concerning competition

Tobias Nießner, University of Goettingen
Stefan Nießner, University of Goettingen
Matthias Schumann, University of Goettingen

12:00 AM

Information Exchange Decision Support (IEDS) Framework

Ali Mohammed Bazarah, Stonehill College
Yan Li, Claremont Graduate University

12:00 AM

Investigating the Cultural Impacts on Tourists’ Dining Experience

Wei Fan, Aalto University School of Business
Wenjie Fan, Aalto University School of Business
Yanqing Lin, Aalto University School of Business
Jiale Huo, Southwest Jiaotong University
Qiang Yang, Southwest Jiaotong University

12:00 AM

Location Intelligent IS: GIS Decision-making and GISc Innovations

Jayashree Sreedharan, University of Redlands
Dr. CG Franklin, University of Texas at Dallas

12:00 AM

Modeling US Air Passenger Traffic Demand: Dynamic Data

David H. Hopfe, Embry-Riddle Aeronautical University
Kiljae Lee, Embry-Riddle Aeronautical University
Chunyan Yu, Embry-Riddle Aeronautical University

12:00 AM

Prediction and Analysis of Bus Adherence to Scheduled Times: San Antonio Transit System

Mohammad Al-Ramahi, Texas A&M University - San Antonio
Izzat Alsmadi, Texas A&M-San Antonio
Daniel Delgado, Texas A&M-San Antonio
Young Lee, Texas A&M-San Antonio

12:00 AM

Privacy and Security Concerns Associated with mHealth Technologies: A Computational Social Science Approach

Damion R. Mitchell, Dakota State University
Omar El-Gayar, Dakota State University

12:00 AM

Spatial Accessibility of Resources and Services for the Homeless

Hafsa Aasi, Claremont Graduate University

12:00 AM

Spatial Processing in Cloud-Based Architectures

Katarzyna H. Tuszynska, Claremont Graduate University

12:00 AM

Text mining for classifying workplace severe injury events

David M. Goldberg, San Diego State University
Nohel Zaman, Loyola Marymount University

12:00 AM

The Regional Data Platform: A Geospatial Solution that enhances Collaboration of Local and Regional Efforts to Tackle Pressing Issues

Javier Aguilar Aguilar, Claremont Graduate University

12:00 AM

Transparency as a Potential Factor for Implementation of Machine Learning-based Systems

Olga Levina, Brandenburg University of Applied Sceinces

12:00 AM

U.S. Department of the Interior: Sharing FAIR Data Fairly

Jason Duke, University of Arkansas - Little Rock

12:00 AM

Will the Home Team Win? On the Road to 1.5 Billion Tweets and Six Thousand Baseball Games Providing Insight!!!

Anthony Corso, California Baptist University
Nathan A. Corso, California Baptist University

12:00 AM