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:

Economics

Finance

Management

Management Science

Marketing

Accounting Research

Quantitative Methods

Time Series Analysis

Cross Section Data Analysis

Dynamic Panel Data Models

Statistics

Mathematics

Operations Research

Engineering

 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

Linear Programming,

Quadratic Programming

Markov Processes

Mathematical 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

Financial Econometrics

Energy Economics

Energy Finance 

Renewable and Sustainable Energy 

Carbon Emissions 

Operations Research 

Engineering

Financial Engineering

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.

Acknowledgments

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.