Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2015)
Volume 11 (2014)
Volume 9 (2012)
Volume 10 (2012)
Volume 8 (2010)
Volume 6 (2007)
Volume 5 (2006)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)

Number of Issues

76

Article View

1,259,087

PDF Download

1,118,781

View Per Article

2240.37

PDF Download Per Article

1990.71

Number of Submissions

1,966

Rejected Submissions

1,384

Reject Rate

70

Accepted Submissions

211

Acceptance Rate

11

Time to Accept (Days)

392

Number of Indexing Databases

15

Number of Reviewers

150

Industrial Management Studies is an open-access, double-blind, peer-reviewed journal published by Allameh Tabataba’i University, the leading university in Humanities and Social Sciences in Iran. Industrial Management Studies has been established to provide an intellectual platform for national and international researchers working on issues related to industrial management. The Journal was founded in as a response to quick advancements in industrial management and was dedicated to the publication of highest-quality research studies that report findings on issues of great concern to the profession of industrial management .   

To allow for easy and worldwide access to the most updated research findings, the journal is set to be an open-access journal. 

The journal charges two million Rials to compensate a part of the arbitration fee, and if the article is accepted, additionally four million Rials will be charged from the authors for a part of the costs of processing the articles, the rest of the costs will be financially supported by Allameh Tabatabai University.

Non-Iranian authors are free of mentioned charges.

The journal is published in both a print version and an online version.

uncertainty
Optimal decisions for forming and allocation of a cryptocurrency investment portfolio considering both risk and return simultaneously

Iman Ebrahimi; Hadi Mokhtari; Mohammad Taghi Rezvan

Volume 23, Issue 77 , August 2025

https://doi.org/10.22054/jims.2025.84024.2950

Abstract
  The cryptocurrency market, known for being one of the most volatile financial markets, has recently attracted significant attention. While some investors avoid entering this market due to fear of losses, others are eager to pursue substantial profits. This research employs scientific analysis and advanced ...  Read More

multiple-criteria decision-making
Evaluation of Suppliers in Modular Megaprojects Using LOPCOW-ARTASI in an Uncertain Environment

Ali Memarpour Ghiaci; morteza abbasi; Jafar Gheidar-Kheljani

Volume 23, Issue 77 , August 2025

https://doi.org/10.22054/jims.2025.85695.2968

Abstract
  Suppliers evaluation plays a pivotal role in the success of modular megaprojects, as these projects require capable suppliers due to the necessity for complex coordination among various subsystems and the precise integration of modules. This study proposes an integrated framework for the evaluation of ...  Read More

Modeling the Market Analysis Process through the SD-DES Hybrid Simulation Approach (Case Study: Mobile Market of Iran)
Volume 19, Issue 62 , September 2021, , Pages 23-66

https://doi.org/10.22054/jims.2021.57172.2583

Abstract
  Nowadays, more successful businesses are those that keep their customers satisfied and in addition to the macro level of their policies, also pay serious attention to the micro level and details of the market. In this article, in order to study the influential factors in the mobile phone market, the ...  Read More

Prioritizing of Strategy Implementation Obstacles among Energy sector's Contractors Using Fuzzy TOPSIS Method
Volume 11, Issue 29 , July 2013, , Pages 113-137

Abstract
  The main purpose of this practical survey is devoted to identify the obstacles of strategic plan implementation among energy sector's contractors and then, to present a classification of identified obstacles on the basis of their priorities. In order to achieve this purpose, 8 factors were chosen as ...  Read More

An evolutionary method for credit scoring; Preference Disaggregation approach
Volume 13, Issue 39 , January 2016, , Pages 1-34

Abstract
  Outranking based models as one of the most important multicriteria decision methods need the definition of large amount of preferential information called “parameters” from decision maker. Because of the multiplicity of parameters, their confusing interpretation in problem context and the ...  Read More

Design of Bi-Level Programming Model for a Decentralized Production-Distribution Supply Chain with Cooperative Advertising
Volume 14, Issue 41 , July 2016, , Pages 1-38

https://doi.org/10.22054/jims.2016.4167

Abstract
  In this paper, we investigate a decentralized manufacturer-distributer supply chain. In addition to global advertisement, the manufacturer participates in the local advertising expenditures of distributer. Bi-level programming approach is applied to model the relationship between the manufacturer and ...  Read More

Designing a Green Closed-loop Supply Chain Simulation Model and Product Pricing in The Presence of a Competitor
Volume 17, Issue 52 , April 2019, , Pages 153-202

https://doi.org/10.22054/jims.2018.34709.2125

Abstract
  The increasing concern about the deteriorating effects of supply chains related activities on the environment has led to the growing attention to develop green closed-loop supply chains in order to minimize greenhouse gases emission. This paper presents a green closed-loop supply chain model developed ...  Read More

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