Current Issue

Vol. 1 No. 1 (2024): Management Science Advances
					View Vol. 1 No. 1 (2024): Management Science Advances
Published: 2024-11-17

Articles

  • Optimizing Diabetes Data Insights Through Kmapper-Based Topological Networks: A Decision Analytics Approach for Predictive and Prescriptive Modeling

    Muhammad Abid, Muhammad Saqlain (Author)
    1-19
    DOI: https://doi.org/10.31181/msa1120241
  • A Comparative Analysis of AES, RSA, and 3DES Encryption Standards based on Speed and Performance

    Mirza Hamza Munir Baig, Hafiz Burhan Ul Haq, Waleed Habib (Author)
    20-30
    DOI: https://doi.org/10.31181/msa1120244
  • Finding Effective Factor for Circular Economy Using Uncertain MCDM Approach

    Aditi Biswas, Kamal Hossain Gazi, Sankar Prasad Mondal (Author)
    31-52
    DOI: https://doi.org/10.31181/msa1120245
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Management Science Advances (MSA) publishes high quality scientific papers that contribute significantly to the fields of management sciences. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with management and decision making implications to the practice of management and engineering. MSA covers all aspects of decision making in sustainable development, risk management, supply chain management, sustainability and supply chain management, transportation networks and operations management.

Submissions should present the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Preference will be given to papers with implications to the practice of management. Full experimental and methodical details must be provided so that the results can be reproduced. Submissions of purely theoretical papers are discouraged.

Contents include papers exploring the interactions of management techniques with other relevant disciplines such as decision making, artificial intelligence, soft computing and computer science. This is a unique feature of MSA compared to other existing management journals, providing a means to explore new directions in management research in a interdisciplinary context. Overview papers from eminent scientists in significant fields of management that review the state-of-the-art in these fields, are also welcome.

General Journal guidelines for authors

Management Science Advances publishes research articles, reviews, short communications, and case studies. Research articles must include: motivation for the work, an adequate overview of the representative work in the field including up-to-date references, a clear statement of the novelty in the presented research, suitable theoretical background, one or more examples to demonstrate and discuss the presented ideas and, finally, conclusions. Short communications are usually 4-7 pages long, research articles and case studies 8-14 pages, while reviews can be longer. Page number limits are not strict and, with appropriate reasoning, the submitted articles can also be longer or shorter. Authors are requested to follow the MSA guidelines and strictly format their manuscripts as per the article template that is available here.

If extensions of previously published conference papers are submitted, Editors will check if sufficient new material has been added to fulfill the journal standards and qualify the submission for the review process. The added material must have not been previously published. New results are desired but not necessarily required; however, the submission should contain expansions of key ideas, examples, elaborations, etc. of the conference submission.

Aims and Scope: The principal aim of the journal is to bring together the latest research and development in various fields of decision science. We would like to highlight that papers should refer to Aims and scope, but they are not limited to.

Publication Frequency: One issue per year is published online, but processed and accepted papers, with full bibliographic data, are added to the issue continuously over the whole year.

Open Access: This is an open-access journal which means that all content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission from the publisher or the author.

eISSN (Online): 3042-2205

Publication fee: There is no submission charge or publication fee. Publication in MSA is free of charge for the authors.

 

Publisher:

Scientific Oasis
Tekeriška 28a, 11000 Belgrade, Serbia
Tel. +38164-23-77-908
Email: office@scientificoasis.org

 

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