[AISWorld] CFP - APJIS (SCOPUS-indexed Journal) Special Issue, "DATA ANALYTICS IN ARTIFICIAL INTELLIGENCE ERA"

[Hong Joo Lee]

Asia Pacific Journal of Information Systems (APJIS), a SCOPUS indexed
Journal

Special Issue: DATA ANALYTICS IN ARTIFICIAL INTELLIGENCE ERA

Data analytics and the techniques of artificial intelligence have been
applied to diverse business or decision problems to gain benefits and
extract business insights from the various forms of data. They value for
businesses, organizations, and individuals by helping them make better and
smarter decisions. Many consumer products with intelligent features such as
voice recognition and environmental control have been introduced and
penetrated human life gradually. Also, many services such as chatbots in
customer service and robo-advisors in finance are available due to the
integration of data analytics and AI. The usage of these smart products and
data analytics-driven products leaves digital footprints in various forms,
and we have an opportunity to understand the changes in human behaviour due
to the introduction of the usage. To advance in helping decision making and
automation for business organizations and people, a virtuous cycle of data
analytics and AI is needed. Data analytics is one of the critical parts in
AI research, and the usages of AI services and products will produce lots
of data to be analyzed for gaining insights and making feedbacks to the
services. Also, a way of integrating data analytics and AI research can
provide a breakthrough in both areas. For this special issue, we invite
paper submissions that investigate business applications and impacts of
data analytics and AI or propose a novel way of integrating data analytics
and AI. We welcome papers that address significant business or decision
problems with innovative data analytics methods in a wide range of
contexts, including marketing, healthcare, social network and media,
financial services. Topics of interest include, but are not limited to:


• Data Analytics & AI
• Applications of BI, AI, And Analytics
• Innovative Approaches in incorporating Data Analytics and AI Research
• Applications of Deep Learning in Business Problems
• Methodologies and Processes for Data Analytics and AI Techniques
• Integration of Big Data, Analytics, and AI Research
• Data and Text Mining for Business Analytics
• Text Analytics for Consumer Research
• Text Analytics for Semantic and Sentiment Analysis
• Web Mining and Social Network Analysis
• Web Usage Mining and Web Personalization
• Addressing Societal Challenges with Intelligence and Analytics
• Computational Social Science
• Analytics for Healthcare Services
• Network Analysis for Open Source Software Development
• Sports Analytics
• Machine Learning in Finance
• Machine Learning Applied to Services
• Fraud Analytics for Service Systems
• Recommender Systems for Services
• Social Network Analytics Applied to Services
• Analysis and Prediction of User Behavior in Smart Phone
• Next Generation of Analytics and AI Applications in Business
• Influences of AI on Human Behavior
• Ethical and Privacy Issues in Data/Text/Web Mining
• Privacy Issues Resulting from Data Analytics and AI
• Policies and Law for Applying Data Analytics and AI
• Futuristic Directions for Data/Text/Web Mining in the Era of AI
• Case Studies of Applying Data Analytics and AI


Asia Pacific Journal of Information Systems:

Asia Pacific Journal of Information Systems (APJIS) is the premier journal
on information
systems research in the Asia Pacific region. The journal seeks to advance
knowledge about
 the effective and efficient utilization of information technology by
individuals, groups,
organizations, society, and nations for the improvement of economic and
social welfare. [http://apjis.or.kr/]


SUBMISSION GUIDELINES:

•All papers should be submitted to the submission system
 (http://www.e-apjis.or.kr/journal.do?method=journalintro&journalSeq=J000067
)
•Submissions should follow standard formatting and style guidelines for the
Asia Pacific Journal of Information Systems (
http://apjis.or.kr/common/sub/editorialpolicy03.asp?hoho=1)
•The author(s) should indicate that the submission is for the special issue
(Data Analytics in Artificial Intelligence Era) on the first page of the
manuscript


TIME PLAN

• Submission due: 2019, April 30
• 1st round review decision: 2019, June 30
• Revised submission due: 2019, September 30
• 2nd round final review decision 2019, November 30
• Publication: 2019, December 31



Guest Editors

Hong Joo Lee, Catholic University of Korea, South Korea,
hongjoo at catholic.ac.kr
Habin Lee, Brunel University London, United Kingdom, habin.lee at brunel.ac.uk
Namgyu Kim, Kookmin University, South Korea, ngkim at kookmin.ac.kr <%22mailto>