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Open Access

Editorial to the Inaugural Issue

željko stević
Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina
Journal of Intelligent Management Decision
Volume 1, Issue 1, 2022
Page 1-1
Received: 09-03-2022,
Revised: 09-03-2022,
Accepted: 09-03-2022,
Available online: 09-29-2022
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Dear editors, reviewers, authors, readers, and other members of the whole scientific and professional community,

Welcome to this inaugural issue of Journal of Intelligent Management Decision (JIMD)!

On behalf of the editorial office, I am writing with great pleasure and sincere privilege to present the first issue of the journal JIMD.

In the last few years, there is a growing necessity for advanced intelligent management decisions, especially with the extensive application of artificial intelligence in virtually all fields of science, economy, and life. It can be observed that many conflicting indicators are involved in the complex nature and society systems. The conflicting aims need to be balanced by developing and applying intelligent management decision models, which represents a significant challenge in uncertain environments, given the limited resources, time, and funds available.  In addition, an important task in modern society is the possibility to make adequate decisions in real time through quantitative and qualitative analysis. Such analysis enables decision-makers to make real-time decisions by looking at the real needs of the companies and the market at any moment.

This first issue aims to give answers to many important questions related to the scope of the journal. This issue consists of seven very interesting high-quality papers, which apply decision models in various fields: in the green agriculture supply chain using a fuzzy approach, in the supply chain network based on blockchain technology, in the management of human capital development in the era of digitalization. In addition, digital marketing, quality models, MCDM model, and intelligent models related to Covid are discussed in this issue, shedding new lights on various management problems.

Journal of Intelligent Management Decision (JIMD) (ISSN 2958-0072) is a fully refereed international open access journal focusing on the state-of-the-art research of the intelligent management of various organizations that adopt information systems. The mission of JIMD is to advance intelligent management and decision-making with insightful contents and powerful implications for researchers, business leaders, and senior managers across the globe. We welcome original submissions in various forms, including reviews, regular research papers, and short communications as well as Special Issues on particular topics. We consider submissions representing a wide range of scholarship, which provides an increased understanding of the use intelligent information system in organizations and entities. The aim of JIMD is to encourage scientists to publish their theoretical and experimental results in as much detail as possible.

We follow principle of international diversity regarding the editorial board, reviewers and authors. Therefore, we invite and welcome submissions from around the world. All information related to JIMD journal are available in our website:


Željko Stević

University of East Sarajevo, Bosnia and Herzegovina

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Stević, Ž. (2022). Editorial to the Inaugural Issue. J. Intell. Manag. Decis., 1(1), 1-1.
Ž. Stević, "Editorial to the Inaugural Issue," J. Intell. Manag. Decis., vol. 1, no. 1, pp. 1-1, 2022.
title={Editorial to the Inaugural Issue},
author={žEljko Stević},
journal={Journal of Intelligent Management Decision},
žEljko Stević, et al. "Editorial to the Inaugural Issue." Journal of Intelligent Management Decision, v 1, pp 1-1. doi:
žEljko Stević. "Editorial to the Inaugural Issue." Journal of Intelligent Management Decision, 1, (2022): 1-1. doi:
©2022 by the authors. Published by Acadlore Publishing Services Limited, Hong Kong. This article is available for free download and can be reused and cited, provided that the original published version is credited, under the CC BY 4.0 license.