Javascript is required
Search
/
/
Journal of Intelligent Management Decision
JII
Journal of Intelligent Management Decision (JIMD)
JISC
10.56578
ISSN (print): 2958-0072
ISSN (online): 2958-0080
Submit to JIMD
Review for JIMD
Propose a Special Issue
Current State
Issue
Volume
2023: Vol. 2
Archive
JIMD Flyer
Home

Journal of Intelligent Management Decision (JIMD) is a peer-reviewed, open access academic journal on intelligent management, intelligent decision-making, and the related fields. It is published quarterly by Acadlore. The publication dates of the four issues usually fall in March, June, September, and December each year.

  • Professional service - All articles submitted go through rigorous yet rapid peer review and editing, following the strictest publication standards.

  • Fast publication - All articles accepted are quickly published, thanks to our expertise in organizing peer-review, editing, and production.

  • Open access - All articles published are immediately available to global audience, and freely sharable anywhere, anytime.

  • Additional benefits - All articles accepted enjoy free English editing, and face no length limit or color charges.

Editor(s)-in-chief(2)
željko stević
University of East Sarajevo, Bosnia and Herzegovina
zeljko.stevic@sf.ues.rs.ba | website
Research interests: Logistics; Supply Chain Management; Transport; Traffic Engineering; Soft Computing; Multi-Criteria Decision-Making Problems; Rough Set Theory; Sustainability; Fuzzy Set Theory; Neutrosophic Set Theory; Circular Economy
jiafu su
Chongqing Technology and Business University, China
jeff.su@cqu.edu.cn | website
Research interests: Innovation Management; Knowledge Management; Supply Chain Management

Aims & Scope

Aims

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. Therefore, the journal has no restrictions regarding the length of papers. Full details should be provided so that the results can be reproduced. In addition, the journal has the following features:

  • Authors from emerging countries enjoy the same high-quality services as those from the developed world.
  • Following a rigorous review process, the accepted papers are published quickly to minimize the time from submission to publication.
  • The published papers have maximum exposure under our open access policy.

Scope

The scope of the journal covers, but is not limited to the following topics:

  • Application of innovative technologies
  • Strategic enterprise architecture
  • Business policy and strategic management
  • Data mining, marketing and value creation
  • E-business models
  • E-learning and training
  • E-Marketing
  • Entrepreneurship and social enterprise
  • Information strategy analysis
  • Competitive advantage and information technology
  • Industry-based information systems
  • Intelligent decision-making theory and application
  • Alignment between information systems and organizational strategies
  • Organizational behavior and HRM
  • Knowledge management
  • Logistics management
  • Operations management
  • Fuzzy systems and decision
  • Security strategies
  • Supply chain management
  • CRM systems
Articles
Recent Articles
Most Downloaded
Most Cited

Abstract

Full Text|PDF|XML
The interrelation between logistics and international trade is crucial for understanding a country's ability to increase its share in global trade. An adequate and well-integrated logistics sector and infrastructure are required for this purpose. This study employs the novel Multi-Criteria Decision Analysis (MCDA) approach known as REF-III and two distinct models to investigate the activities of countries in terms of infrastructure, logistics, international trade, and economic growth. The results from both models indicate that China and Russia are leading the rankings. However, when focusing on the efficiency of trade and economic growth, the United States occupies the first place. Notably, several Caucasian and Balkan countries rank poorly in both models, possibly due to the multiple crises, wars, and turmoil they have experienced over the past forty years. The investments and improvements made in infrastructure and logistics by the countries excelling in global trade and logistics should serve as a model for other nations to emulate.
Open Access
Research article
Impact of corporate venture capital on digital business transformation: A case study in Germany
nadine ladnar ,
daniel harder ,
ricardo palomo ,
alexander zureck
|
Available online: 05-31-2023

Abstract

Full Text|PDF|XML
With the growing need for digital business transformation, corporate venture capital (CVC) investors have been faced with the challenge of how to deal with this trend. Although digital business transformation and CVC are highly relevant, previous studies have investigated them separately instead of their relationships. Therefore, this research aimed to study the impact of CVC on digital business transformation to fill this research gap. Based on an exploratory research design, eleven experts from different industries were interviewed. The following results were found in this study: (1) after the CVC unit collaborated with an Open Innovation (OI) unit, the CVC activities were integrated into the decentralized OI activities, and a dedicated team in the CVC unit was responsible for OI and venture client-based OI activities, thus achieving digital OI; (2) CVC was used to pursue ambidexterity, digital exploration or exploitation; (3) CVC supported digital business transformation at the organizational, social, and technical levels, which provided an answer to the overarching research question of how CVC supported innovation processes. Theoretical implications of this study lied in enhancing the understanding between CVC and digital business transformation, thus extending the understanding of CVC organization and impact. Furthermore, this study provided practical implications and recommendations on organizing CVC and using it to achieve digital business transformation according to strategic objectives.

Abstract

Full Text|PDF|XML
Responsible use of social media requires a level of culture and awareness on the part of the user themselves that allows them to understand and absorb the enormous amount of information they receive through these mediums, verify it, and then share it with their friends and users. This leads to numerous problems related to public health and safety. This research aims to identify the most significant effects of the dissemination of fake news in times of crisis on public health and safety, as well as to propose strategies to overcome this phenomenon. A hybrid Grey-ARAS (Additive Ratio Assessment) model was used to rank the potential impacts and propose strategies to overcome them. Four experts in the field of public health, data analysis, and contagious diseases participated in this study to determine the weights. Eight factors affecting public health and safety were proposed, along with seven strategies to mitigate these impacts. The results showed that the most important factors are creating panic and anxiety among people along with the contribution to the misleading public policy decisions. The results also showed that the most appropriate strategies to overcome the impact of fake news are to encourage people to check facts and monitor social media. A sensitivity analysis of the results obtained was also performed, proposing 20 different scenarios to adjust the relative weights of the criteria. The results showed a certain stability when using different scenarios.

Abstract

Full Text|PDF|XML
As environmental awareness grows, consumers' green and low-carbon preferences have become essential factors for market enterprises to consider in decision-making. This paper conducts a literature review of dual-channel supply chain pricing decisions under the influence of consumers' low-carbon preference. The analysis is carried out from two aspects: dual-channel supply chain types and consumers' low-carbon preference. By combining psychological games and analyzing relevant literature, this paper provides insights into the factors that affect consumers' low-carbon preference and explores the synergies among various factors, including government policies. Moreover, this paper suggests future research directions, such as conducting empirical research on relevant models, to support the diversified development of the dual-channel field.
Open Access
Research article
FMEA-QFD Approach for Effective Risk Assessment in Distribution Processes
vukašin pajić ,
milan andrejić ,
marjan sternad
|
Available online: 04-27-2023

Abstract

Full Text|PDF|XML
This study applies the FMEA-QFD approach to assess risks in the distribution process, with a focus on warehouse and transport processes, which are commonly associated with user dissatisfaction and customer loss. The methodology identifies the forms, effects, and causes of failures and determines priorities for each category. In that manner, for the warehousing process, long reception time, additional costs, and lack of experience have the highest priority. In the transportation process, time losses, generating additional costs, and longer vehicle retention time are the three failure effects with the highest priorities. Corrective and preventive measures are also defined. The proposed approach is highly applicable in practice and can be modified for use in other industries. This paper contributes both theoretically and practically to the field of logistics.

Abstract

Full Text|PDF|XML

With the rapid development of industrial technology, the application fields of AGV are constantly expanding. In this article, a differential vehicle is selected to construct a dynamic model of differential vehicle and establish a co-simulation platform of MATLAB/Simulink and ADAMS, which fully considers the nonlinear friction between wheels and the ground, the body mass and its own moment of inertia during steering, simulates the actual motion trajectory of the vehicle under different paths, and compares the ideal trajectory with the actual ADAMS output, which is generally consistent with the theory, and the basic path trend tends to be consistent. The deviation between them also reflects that the differential vehicle is a multi-degree-of-freedom strong nonlinear system, so the platform can better simulate the actual motion process of the vehicle.

Abstract

Full Text|PDF|XML

The road mode of transportation holds a leading position in the world and its upward trend is still noticeable. The aim of this research is to determine the efficiency of the observed transportation company, i.e. efficiency of its business throughout the analyzed period of years, which in this case is from 2018 to 2022. Specifically, in this paper, it has been observed a transportation company located in Bosnia and Herzegovina, which is engaged in road internal and international transportation. An integrated PCA-DEA model was used for efficiency analysis. Six input and four output parameters were defined. Due to the small number of decision-making units, PCA (Principal component analysis) based on 70% of the information of all data collected was first applied, and the number of input-output parameters was reduced to 2 to 1. After that, DEA (Data Envelopment Analysis) was applied to obtain final efficiency values. The results show that the previous year (2022) is the most efficient under the considered conditions and circumstances, and that the company is on the right track, as it increases its efficiency.

Abstract

Full Text|PDF|XML

Due to COVID-19, the trade and circulation of second-hand goods grew rapidly in the past three years, bringing new opportunities to online second-hand Consumer to Consumer (C2C) trading platform. This paper aimed to study the influencing factors of the platform by constructing a questionnaire based on willingness degree influencing factors in probit model. This paper designed analysis framework of influencing factors and variables, including information acquisition before commodity transaction, communication and consultation during transaction, service after transaction, and user's personal characteristics. Then this paper constructed a binary discrete probit model, with consumers on the platform considered as survey objects. Finally, this paper summarized key influencing factors of the C2C platform based on analysis results of the questionnaire, and put forward measures and suggestions to improve the operating efficiency and performance of the platform.

Abstract

Full Text|PDF|XML

Although some of the resources required to meet human needs can be provided by a country, the rest must be supplied from other countries because not every country has all resources. Therefore, the demand for international trade emerges. A country earns incomes by selling its surplus and obtains scarce resources from other countries with these incomes. In this context, some political and economic initiatives have been established by countries, which work in harmony to facilitate and regulate international trade and create a common market. Two of them are Shanghai Pact and the Belt and Road Initiative (BRI). However, even if the initiatives meet certain common needs, it is very important to carry out logistics activities correctly in order to ensure effective and efficient foreign trade. If planned and correctly carried out, logistics activities are expected to make both import and export processes efficient and reduce resource usage. In this study, it is aimed to examine the effects of logistics performance in international trade in countries of Shanghai Pact and the BRI. In order to measure logistics performance in the research, two kinds of data are used, namely, the Logistics Performance Index (LPI) data, published by the World Bank every two years, and the import and export data, also published by the World Bank. With six sub-criteria of LPI modeled as independent variables and import and export as dependent variables, Tobit analysis is made by using EViews 10 software package. According to the analysis results, customs clearance, logistics quality and traceability have effects on export, and infrastructure, customs clearance and logistics quality have effects on import.

load more...
- no more data -
- no more data -