【学术期刊】JDIM Call for Papers(Journal of Data, Information and Management)

发布时间：2021-03-14浏览次数：126

Owing to the numerous advances in computer and the Internet technology, and now cloud computing services and big data, we are experiencing major changes in our life. Nowadays, the number of factors that influence management is so huge and complex that neither sophisticated theories nor elegant advanced models can offer complete and effective solutions. The challenges are in many ways fundamental that require closer collaboration to draw upon a collective wisdom across different disciplines.Data can enable, encourage and enhance such collaborative linkages.Data Sciences, Information Sciences and Management Sciences are by their very nature interdisciplinary. In our information-intensive era, to remain competitive, maintain constant vigilance and safeguard integrity and security in modern management,we have to rely on big data. Beyond any doubt data analytics has become an integral part of and is integrating

information and management sciences. JDIM is a unique and premiere platform for disseminating most up-to-date research and development in the data-information-management interdisciplinary problems. JDIM will offer the business world a venue that prudently balances practical applicability and theoretical rigour.

Key research areas of JDIM include,but are not restricted to:

Sensoring and identification technology	Data privacy and securityData Technology and Methodology
Applications:
Data processing and storage (hiding,fusion, compression, etc.)	Digital marketing and consumer behavior
Data mining	Data-driven production design and development
Data quality management	Data-driven quality improvement
Granular computing	Data-driven supply chain/logistics optimization
Deep learning	Supply chain finance
Machine learning	Data-driven intelligent manufacturing
Neural networks	Data-driven reliability and maintenance management
other technologies and methodologies	Intelligent transportation with big data
	Online decision-making
	Other applications (Healthcare, government, education, building, etc.)

Editors-in-Chiefs:
Witold Pedrycz, University of	Xiande Zhao, China Europe	Xiang Li, Beijing University of
Alberta, Canada	International Business School, China	Chemical Technology, China
Advisory Board:
Janusz Kacprzyk, Polish Academy	Hau L Lee, Stanford Graduate School	Roman Slowinski, Poznań University of
of Sciences, Warsaw, Poland	of Business, USA	Technology, Poland
Associate Editors:
Chien Chen-fu, National Tsinghua	Shu-Cherng Fang, North Carolina State	Hong Kam Lo, Hong Kong University
University, Taiwan, China	University, USA	of Science and Technology, Hong Kong
M. Inuiguchi, Osaka University,	S.K. Pal, Indian Statistical Institute,	Wong Hau-San, The City University of
Japan	Calcutta, India	Hong Kong, Hong Kong
Benjamin Lev, Drexel University,	Pei Jian, Simon Fraser University,	Qiang Shen, Aberystwyth University,
USA	Canada	UK
Vincenzo Loia, University of	Steven Melnyk, Michigan State	Zhiping Fan, Northeastern University,
Salerno, Italy	University, USA	China

The journal will be published initially quarterly, 4 issues per year, 5-6 papers in each issue

https://www.springer.com/engineering/computational+intelligence+and+complexity/journal/42488