Examination of Logistics Simulation Demand Related to Enterprises: Focusing on a Hungarian County

Károly Szabó, László Szabó () and Richárd Kása
Additional contact information
Károly Szabó: Department of Business Information Technology, Faculty of Finance and Accountancy, Budapest Business University, H 1149 Budapest, Hungary
László Szabó: Department of Business Information Technology, Faculty of Finance and Accountancy, Budapest Business University, H 1149 Budapest, Hungary
Richárd Kása: Department of Management and Entrepreneurship, Faculty of Finance and Accountancy, Budapest Business University, H 1149 Budapest, Hungary

Logistics, 2024, vol. 8, issue 1, 1-20

Abstract: Background: Despite the fact that some results can be found for the logistics simulation in the literature, there is a lack of an experiment based on inner company data. Therefore, the study aimed to determine the potential need for this kind of solution by Zala County enterprises. Methods: As a first step, the paper presents the existing literature with the help of a literature review. Afterwards, questionnaire sampling was conducted among local enterprises. The paper applies several statistical methods (e.g., descriptive statistics, SPSS, exploratory factor analysis, and structural equation modeling) to the sample for the validation of the reorganization demand. Results: The study obtained a total of 147 complete responses from the 1022 invitations. An overwhelming majority of the respondents indicated regular and significant delays in their logistics processes, as well as the need for a new simulation method. Based on the SEM model, it has been observed that IT solutions are being utilized in an inefficient manner, resulting in logistical system issues and operational damages. Conclusion : The paper successfully identified a research gap, the research of which can have not only theoretical but also many practical benefits. Hopefully, the results will generate other academic research in this field.

Keywords: logistics; Zala County; strategy; planning; simulation (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2305-6290/8/1/7/pdf (application/pdf)
https://www.mdpi.com/2305-6290/8/1/7/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:8:y:2024:i:1:p:7-:d:1313367

Access Statistics for this article

Logistics is currently edited by Ms. Mavis Li

More articles in Logistics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().