The purpose of this track is to provide a forum for academics and practitioners to identify and explore the issues, opportunities, and solutions using Artificial Intelligence, computational ontologies, data driven IS, and intelligence related to business and systems including the social web, intelligent systems design, implementation, integration and deployment. An increasing number of artificial intelligence-based systems are being developed in different application domains employing a variety of tools and technologies. This track is intended to increase cross-fertilization of ideas from these areas, share lessons learned and stimulate areas for further research.

Schedule
2020
Monday, August 10th
12:00 AM

A Design Science Research to Correct Inherent Biases in Natural Language Applications

Jasmin Manseau, Queens University
Ikenna Mbuko, Queens University

12:00 AM

A Design Theoretic Approach for Smarter Advising using Educational Data Mining

Caleb Bradberry, Radford University
Jeff Pittges, Radford University

12:00 AM

A Semantic Data Lake for Harmonizing Data from Cross-Platform Digital Workspaces using Ontology-Based Data Access

Florian Schwade, University of Koblenz-Landau
Petra Schubert, University of Koblenz-Landau

12:00 AM

A Service-based Model for Customer Intelligence in the Age of Big Data

Nguyen Anh Khoa Dam, Université du Québec à Trois-Rivières
Thang Le Dinh, Université du Québec à Trois-Rivières
William Menvielle, Université du Québec à Trois-Rivières

12:00 AM

An AI-based ECT Perspective for Voice-Activated Smart Phone Assistants

Maarif Sohail, McMaster University

12:00 AM

An Enhancement of Kohonen Neural Networks for Predictive Analytics: Self-Organizing Prediction Maps

Janusz Morajda, Cracow University of Economics
Grażyna Paliwoda-Pękosz, Cracow University of Economics

12:00 AM

Analyzing the Impacts of Activation Functions on the Performance of Convolutional Neural Network Models

Gerald Onwujekwegn, Virginia Commonwealth University
Victoria Y Yoon, Virginia Commonwealth University

12:00 AM

Are Anthropomorphic Intelligent Agents More Intelligent?

Christopher Haas, Carnegie Mellon University
Sara Moussawi, Carnegie Mellon University

12:00 AM

Are we Ready for Artificially Intelligent Leaders? A Comparative Analysis of Employee Perceptions Regarding Artificially Intelligent and Human Supervisors

Jan-Gerrit Grotenhermen, University of Muenster
Maike Bruckes, University of Muenster
Gerhard Schewe, University of Muenster

12:00 AM

Artificially Intelligent (AI) Drones for First Responders

Sambhav Gupta, San Jose State University
Yu Chen, San Jose State University
Yanxia Zhang, FXPAL
Richard Sessions, San Jose State University

12:00 AM

Detecting and Quantifying Political Bias and Credibility in Written Communications using an LSTM-Based Deep Neural Network

Daniel Soper, California State University, Fullerton

12:00 AM

Effects of Abilities of Data Analyst Teams and AI Development

Madhav Sharma, Oklahoma State University
David Biros, Oklahoma State University

12:00 AM

Federated Deep Learning: A Conceptual Model and Applied Framework for Industry 4.0

Samaa Elnagar, Virginia commonwealth university
Manoj A. Thomas, University of Sydney Business School

12:00 AM

Human-AI Hybrids and Individual Performance in the Context of Enterprise Systems Use

Agrim Sachdeva, Indiana University
Hillol Bala, Indiana University

12:00 AM

Investigating Data Visualization Decision Errors: Do Tools Enable Users to Make Bad Decisions and more confidently?

Jim Jenkins, University of North Carolina at Greensboro
Rahul Singh, UNC Greensboro

12:00 AM

Leveraging Cross Domain Recommendation Models to Alleviate Filter Bubble Problems

Jianshan Sun, Hefei University of Technology
Jian Song, Hefei University of Technology
Yuanchun Jiang, School of Management, Hefei University of Technology
Yezheng Liu, School of Management, Hefei University of Technology
Mingyue Zhu, Hefei University of Technology

12:00 AM

Multi-Stage Transfer Learning System with Light-weight Architectures in Medical Image Classification

Rajesh Godasu, Dakota State University
Omar El-Gayar, Dakota State University
Kruttika Sutrave, Dakota State University

12:00 AM

RecTwitter: A Rule-Based Semantic Recommender System for Twitter Users

Paulo Roberto de Souza, Federal University of Bahia
Frederico Araujo Durao, Federal University of Bahia

12:00 AM

Selecting the Best Subset of Features Using a Game-theoretic Approach: Applications in Information Systems

Kimia Keshanian, MUMA COLLEGE OF BUSINESS
Kaushik Dutta, MUMA College of Business, University of South Florida

12:00 AM

The Impact of Artificial Intelligence Investment on Market Value: An Event Study

Ariel K. H. Lui, Swinburne University of Technology
Maggie C. M. Lee, The Hong Kong Polytechnic Unviersity
Eric W. T. Ngai, Hong Kong Polytechnic University

12:00 AM

The Role of AI in Perceptions of Distributive, Procedural, and Interactional Justice

Kevin Kim, University of North Texas
Russell Torres, University of North Texas

12:00 AM

Toward Voice-Enabled Robotic Advisory for Personalized Wealth Management

Nadine Kathrin Ostern, Management Department
Joe Schöler, GCA Altium
Jürgen Moormann, Frankfurt School of Finance & Management

12:00 AM

Towards the Use of Clustering Algorithms in Recommender Systems

Leandro Miranda, Fluminense Federal University
Jose Viterbo, Fluminense Federal University
Flávia Bernardini, Fluminense Federal University

12:00 AM

Value Creation in Connectionist Artificial Intelligence – A Research Agenda

Rainer Schmidt, Munich University of Applied Sciences
ALFRED ZIMMERMANN, School of Computer Science
Michael Moehring, Munich University of Applied Sciences
Barbara Keller, Munich University of Applied Sciences

12:00 AM