Research Article: 2017 Vol: 20 Issue: 1
Chia-Lin Chang, Department of Applied Economics and Department of Finance National Chung Hsing University, Taiwan
Michael McAleer, Department of Quantitative Finance, National Tsing Hua University, Taiwan
Sang-Bing Tsai, Management School University of Electronic Science and Technology of China, Guangdong, China
Wing Keung Wong, Department of Finance and Big Data Research Center, Asia University, Taiwan
MANAGEMENT INFORMATION AND DECISION SCIENCES (JMIDS)
Journal of Management Information and Decision Sciences (JMIDS) is a highly reputable open access journal that is affiliated with the Allied Business Academies. The journal focuses on disseminating the latest innovative research in the fields of management information system and its role in decision making, as well as their relationships to cognate disciplines, including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research, and Engineering. The intention of JMIDS is to publish innovative and high quality theoretical and applied papers, including case studies, on a wide range of topics in management information and decision sciences that are directly relevant for academics, researchers and practitioners alike.
JMIDS seeks academically rigorous papers that will appeal to theoreticians and will also have direct relevance to practitioners in management information and decision sciences. Papers that use rigorous mathematical and statistical methods in the empirical testing of theory and models in health and medical economics are strongly encouraged. Case studies that will enable portability of the findings in management information and decision sciences to other studies and disciplines are also welcome.
JMIDS caters to the needs of leading business executives and managerial force that is actively involved in management and decision making. The journal also publishes extensively for managerial IT professionals, and industry practitioners in the fields of business management, information systems, and decision analysis. Sponsored by the Academy of Management Information and Decision Sciences, JMIDS encourages theoretical and empirical research in the fields of Management Information and Decision Sciences, and their relationships to cognate disciplines.
JMIDS encompasses a wide spectrum of innovative topics in the field of management information and decision sciences, and cognate disciplines that include, but are not limited to:
Time Series Analysis
Cross Section Data Analysis
Dynamic Panel Data Models
Published articles in JMIDS have covered, but have not been restricted to, the following topics:
Sustainable Supply Chain Management
Collective Decision Making
Multi-Attribute Utility Theory
Information System and Decision Making
Fuzzy Models of Decision Making
Integer and Binary Programming
Multi-Tier Supply Chain Management
Dynamic and Naturalistic Decision Making
General Decision Making
Applications of Decision Aids
Behavioural Aspects of Decision Making
International Decision Making
North American Decision Making Framework
Resource Dependence Theory
Environmental Management Systems
Marketing Information Systems
Financial Decision Making
Financial Risk Analysis
Financial Risk Management
Economic Decision Making
Renewable and Sustainable Energy
20th ANNIVERSARY SPECIAL ISSUE, 20(A), IN 2017
JMIDS was inaugurated in 1998, and 2017 marks the 20th Anniversary of the journal. In 2017, JMIDS will publish a 20th Anniversary special issue, indicated as 20(A), as a single volume. Papers are invited for publication in Volume 20(A) for accelerated review. JMIDS invites authors to submit manuscripts to be considered for inclusion in Volume 20(A), as well as in future volumes and issues.
The journal welcomes participants in its associated conferences to submit their manuscripts for accelerated review. The journal adheres to a stringent double blind review policy to maintain publication quality. With an acceptance of rate of 25% manuscripts, the journal encourages recent discoveries and innovations comprising theoretical, conceptual and empirical research in Information Systems, Decision Sciences, and cognate disciplines.
Further details on the types of manuscripts published and the categories of accepted research are displayed in the Journal Matrix section of the website. For further information about submitting a manuscript for possible publication, please visit our ?submit manuscript page? in the website.
There will be an Article Processing charge (APC) of USD 300 for all papers that are accepted for publication, beginning with Volume 21 in 2018. There are no submission fees or page charges.
International Advisory Board and Editorial Board
JMIDS has a distinguished International Advisory Board, comprising leading academics from leading international institutions. The Editorial Board of JMIDS exercises complete control over the editorial content of the journal, which is currently published twice each year
JMIDS is always seeking to expand membership of the International Advisory Board, and welcomes a wide range of members of the Editorial Board and editorial reviewing panels. The journal?s mission is to expand the horizon of the academic disciplines of Management Information and Decision Sciences through a broad dissemination of innovations and knowledge sharing to expand understanding of the management information and decision making sciences, and cognate disciplines.
It is a genuine challenge, and an honour and pleasure for the four co-editorialists to have been appointed the Co-Editor-in-Chief, Chair of the Editorial Board, Co-Editor-in-Chief, and Editor-in-Chief, respectively, of the Journal of Management Information and Decision Sciences (JMIDS).
We look forward to working with the active and vibrant members of the International Advisory Board, Editorial Board, extensive reviewing panels, and contributors to make JMIDS an accessible and leading outlet for high quality academic, theoretical, and practical research in all areas of management information and decision sciences, and their relationships to cognate disciplines.
For financial support, the authors wish to thank the National Science Council, Ministry of Science and Technology (MOST), Taiwan, and the Australian Research Council.