[AISWorld] CFP -- JDM Special Issue on Artificial Intelligence, Machine Learning, Automation, and Digital Transformation

[Siau, Keng L.]

********************* CALL FOR PAPERS *********************

JOURNAL OF DATABASE MANAGEMENT
Editor-in-Chief: Keng Siau, Missouri University of Science and Technology
https://www.igi-global.com/journal/journal-database-management/1072

SPECIAL ISSUE ON Artificial Intelligence, Machine Learning, Automation, and Digital Transformation

Special Issue Guest Editors

John Erickson, Department of Management, University of Nebraska Omaha, USA
Email: johnerickson at unomaha.edu<mailto:johnerickson at unomaha.edu>

Keng Siau, Department of Business and Information Technology, Missouri University of Science and Technology, USA
Email: siauk at mst.edu<mailto:siauk at mst.edu>


SPECIAL ISSUE SUBMISSION DUE DATE September 1, 2020

INTRODUCTION

Artificial Intelligence (AI) is assuming an increasingly important role in business and our everyday life. The advancement in the areas of machine learning, automation, robotics, analytics, statistical analyses, and a variety of AI-related topics will impact the future of work and the future of humanity. This special issue provides a venue for researchers to publish their works in basic AI discovery investigations, applied research investigating the use of AI in business, and tool or platform development associated with large data sets for machine learning or other AI-related areas.


RECOMMENDED TOPICS

Potential areas include but are not limited to:
•             AI and ML in business applications
•             AL and ML applications in FINTECH
•             AL and ML applications in Natural Language Processing (NLP)
•             AL and ML applications in business analytics and data science
•             AL and ML applications in cybersecurity and information assurance
•             Al, ML, and Digital Transformation
•             Artificial Narrow Intelligence (ANI) and Artificial General Intelligence (AGI)
•             Automation
•             Chatbots
•             Deep Learning
•             Digital Ecosystem
•             Digital Transformation
•             Future of work
•             Future of humanity
•             Economic impact of AL, ML, and Automation
•             Ethical and Moral Issues related to AI
•             Industry 4.0
•             Machine Learning
•             Robotics
•             Robotic Process Automation (RPA)
•             Supervised and Unsupervised Learning


SUBMISSION PROCEDURE:
Researchers and practitioners are invited to submit papers to this special theme issue on Artificial Intelligence, Machine Learning, Automation, and Digital Transformation on or before September 1, 2020. The aim is to have the special issue published in 2021.

All submissions must be original and may not be under review at another publication. Interested authors should consult the journal’s guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow the APA style for reference citations.

Please note that all manuscripts MUST be submitted through the eEditorial Discovery® online submission manager. Manuscripts submitted outside of the system will not be considered for publication. Submit your manuscripts at https://www.igi-global.com/submission/submit-manuscript/

All inquires should be directed to the attention of:

Professor Keng Siau
E-mail: jdm at mst.edu<mailto:jdm at mst.edu>

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References
Siau, K. and Wang, W. 2020. “Artificial Intelligence (AI) Ethics – Ethics of AI and Ethical AI,” Journal of Database Management (31:2), 74-87.
Siau K. and Wang, W. 2018. “Building Trust in Artificial Intelligence, Machine Learning, and Robotics,” Cutter Business Technology Journal, (31:2), 47-53.
Wang, W. and Siau, K. 2019. “Industry 4.0: Ethical and Moral Predicaments,” Cutter Business Technology Journal (32:6), 36-45.
Wang, W. and Siau, K. 2019. “Artificial Intelligence, Machine Learning, Automation, Robotics, Future of Work, and Future of Humanity – A Review and Research Agenda,” Journal of Database Management, (30:1), 61-79.