https://m2.mtmt.hu/ eng 2026-04-16 21:38 JournalArticle 34478440 VALIDATED true Department of Business Information Technology, Faculty of Finance and Accountancy, Budapest Business University, Budapest, 1149, Hungary Department of Management and Entrepreneurship, Faculty of Finance and Accountancy, Budapest Business University, Budapest, H 1149, Hungary Export Date: 12 September 2024; Cited By: 0 0 false 2026-02-06T11:41:44.292+0000 2024-08-22T11:24:09.467+0000 2024-01-04T18:52:48.403+0000 true 10037836 Szabó László /api/author/10037836 Author László Szabó (menedzsment, ellátási lánc menedzsment) true 10037836 2024-09-12T16:27:59.894+0000 2024-09-12T16:27:59.894+0000 2024-01-31T11:04:11.938+0000 true 10060435 Kozákné Szabó Claudia /api/admin/10060435 Admin Claudia Kozákné Szabó (BGE PSZK admin 5) true 10060435 true false true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Journal Article 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Article (Journal Article) 101 true 10000059 true 1 /api/category/1 Category Scientific true 1 Szabó, Károly true true /api/journal/10087988 REVIEWED LOGISTICS (BASEL) 2305-6290 true false 10087988 false 10087988 true 2305-6290 Journal FOREIGN 8 1 7 7 2024 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. true 2024 true true true false true false GOLD 2026-02-06 false http://www.mdpi.com/journal/logistics 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 6 6 Folyóiratcikk Journal Article 24 1 Könyvrészlet Chapter in Book 25 0 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2025 0 1 1 1 1 Q2 false false false false 2024-01-30T11:04:11.390+0000 Budapesti Gazdasági Egyetem; Gazdaságinformatika Tanszék (BGE / PSZK); Menedzsment és Vállalkozás Tanszék (BGE / PSZK) 3 39 3 3 0 true Language 10002 /api/language/10002 English Angol English true 2 true PersonAuthorship 113640314 /api/authorship/113640314 Szabó, Károly [Szabó, Károly (menedzsment, logi...), author] Budapesti Gazdasági Egyetem 1 0.333 true false false Author 10068114 /api/author/10068114 Károly Szabó (menedzsment, logisztika) Szabó Károly true true Szabó Károly true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 113640315 /api/authorship/113640315 Szabó, László [Szabó, László (menedzsment, ellá...), author] Gazdaságinformatika Tanszék (BUEB / PSZK) 2 0.333 false false false Author 10037836 /api/author/10037836 László Szabó (menedzsment, ellátási lánc menedzsment) Szabó László true 10037836 true Szabó László true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PersonAuthorship 113640316 /api/authorship/113640316 Kása, Richárd [Kása, Richárd (Menedzsment), author] Department of Management and Entrepreneurship (BUEB / PSZK) 3 0.333 false true false Author 10023411 /api/author/10023411 Richárd Kása (Menedzsment) Kása Richárd true 10023411 true Kása Richárd true false false AuthorshipType 1 /api/authorshiptype/1 Author 0 true 0 true false true PublicationIdentifier 25220238 /api/publicationidentifier/25220238 DOI: 10.3390/logistics8010007 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.3390/logistics8010007 https://doi.org/10.3390/logistics8010007 false true PublicationIdentifier 26450571 /api/publicationidentifier/26450571 WoS: 001192736300001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001192736300001 https://www.webofscience.com/wos/woscc/full-record/001192736300001 false true PublicationIdentifier 26947845 /api/publicationidentifier/26947845 Scopus: 85188899477 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85188899477 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85188899477 true true PublicationIdentifier 25220239 /api/publicationidentifier/25220239 Other URL: https://www.mdpi.com/2305-6290/8/1/7 PlainSource 40 /api/publicationsource/40 Other URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://www.mdpi.com/2305-6290/8/1/7 https://www.mdpi.com/2305-6290/8/1/7 false true SjrRating 11473973 /api/sjrrating/11473973 sjr:Q2 (2024) Scopus - Information Systems and Management LOGISTICS (BASEL) 2305-6290 40 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 1802 /api/classificationexternal/1802 Scopus - Information Systems and Management true 1802 true Q2 DIRECT true true Reference 48438584 /api/reference/48438584 1. Herczeg 2020: The Effect of the COVID-19 on the Automotive Supply Chains., Stud. Univ. Babes-Bolyai Oeconomica, 65, p. 1, DOI: 10.2478/subboec-2020-0006 1 10.2478/subboec-2020-0006 false true Reference 48438585 /api/reference/48438585 2. Kot 2017: Simulation of Complex Logistical Service Processes., Manag. Prod. Eng. Rev., 8, p. 19 2 false true Reference 48438586 /api/reference/48438586 3. 2020: Territorial examination of the logistics processes of enterprises., Prosperitas, 7, p. 66, DOI: 10.31570/Prosp_2020_01_6 3 10.31570/Prosp_2020_01_6 false true Reference 48438587 /api/reference/48438587 4. 2023: Measurement of logistics processes for potential optimization purposes at enterprises based in a Hungarian county., Prosperitas, 10, p. 4 4 false true Reference 48438588 /api/reference/48438588 5. Scukanec 2007: Bullwhip effect in supply chains., Promet-Traffic Transp., 19, p. 289 5 false true Reference 48438589 /api/reference/48438589 6. Moon 2017: Key drivers of an agile, collaborative fast fashion supply chain Dongdaemun fashion market., J. Fash. Mark. Manag., 21, p. 278 6 false true Reference 48438590 /api/reference/48438590 7. Shu, T., Chen, S., Lai, K.K., Xie, C., and Wang, S.Y. (2006, January 21–23). A study of collaborative planning forecasting replenishment mechanism of agile virtual enterprises. Proceedings of the 2006 IEEE International Conference on Management of Innovation and Technology, Singapore., DOI: 10.1109/ICMIT.2006.262351 7 10.1109/ICMIT.2006.262351 false true Reference 48438591 /api/reference/48438591 8. Arango 2017: Multiobjective Model for The Simultaneous Optimization of Transportation Costs, Inventory Costs and Service Level in Goods Distribution., IEEE Lat. Am. Trans., 15, p. 129, DOI: 10.1109/TLA.2017.7827916 8 10.1109/TLA.2017.7827916 false true Reference 48438592 /api/reference/48438592 9. Forgerini 2021: Flow optimization process in a transportation network., Mod. Phys. Lett. B, 35, p. 2150113, DOI: 10.1142/S021798492150113X 9 10.1142/S021798492150113X false true Reference 48438593 /api/reference/48438593 10. Szentesi, S., Illes, B., Cservenak, A., Skapinyecz, R., and Tamas, P. (2021). Multi-Level Optimization Process for Rationalizing the Distribution Logistics Process of Companies Selling Dietary Supplements. Processes, 9., DOI: 10.3390/pr9091480 10 10.3390/pr9091480 false true Reference 48438594 /api/reference/48438594 11. Tarapata 2020: Data-Driven Machine Learning System for Optimization of Processes Supporting the Distribution of Goods Services—A case study., Procedia Manuf., 44, p. 60, DOI: 10.1016/j.promfg.2020.02.205 11 10.1016/j.promfg.2020.02.205 false true Reference 48438595 /api/reference/48438595 12. Ekren 2023: Additive manufacturing integration in E-commerce supply chain network to improve resilience and competitiveness., Simul. Model. Pract. Theory, 122, p. 102676, DOI: 10.1016/j.simpat.2022.102676 12 10.1016/j.simpat.2022.102676 false true Reference 48438596 /api/reference/48438596 13. Jiang 2023: Digital empowerment to improve the operational profitability in e-commerce supply chain., Electron. Commer. Res. Appl., 58, p. 101253, DOI: 10.1016/j.elerap.2023.101253 13 10.1016/j.elerap.2023.101253 false true Reference 48438597 /api/reference/48438597 14. Sodhi 2021: Supply Chain Management for Extreme Conditions: Research Opportunities., J. Supply Chain. Manag., 57, p. 7, DOI: 10.1111/jscm.12255 14 10.1111/jscm.12255 false true Reference 48438598 /api/reference/48438598 15. Wang 2021: Integrated Production and Transportation Scheduling in E-Commerce Supply Chain with Carbon Emission Constraints., J. Theor. Appl. Electron. Commer. Res., 16, p. 2554, DOI: 10.3390/jtaer16070140 15 10.3390/jtaer16070140 false true Reference 48438599 /api/reference/48438599 16. Garcia 2015: Supply chain design and optimization: Challenges and opportunities., Comput. Chem. Eng., 81, p. 153, DOI: 10.1016/j.compchemeng.2015.03.015 16 10.1016/j.compchemeng.2015.03.015 false true Reference 48438600 /api/reference/48438600 17. Kassmann 2006: Supply Chain Design, Management and Optimization., Comput. Aided Chem. Eng., 21, p. 101, DOI: 10.1016/S1570-7946(06)80031-3 17 10.1016/S1570-7946(06)80031-3 false true Reference 48438601 /api/reference/48438601 18. Sun 2020: A Review on Optimization Methods for Biomass Supply Chain: Models and Algorithms, Sustainable Issues, and Challenges and Opportunities., Process Integr. Optim. Sustain., 4, p. 203, DOI: 10.1007/s41660-020-00108-9 18 10.1007/s41660-020-00108-9 false true Reference 48438602 /api/reference/48438602 19. Chen 2022: Robust Inventory Management: A Cycle-Based Approach., M SOM-Manuf. Serv. Oper. Manag., 25, p. 371 19 false true Reference 48438603 /api/reference/48438603 20. Gijsbrechts 2022: Reward shaping to improve the performance of deep reinforcement learning in perishable inventory management., Eur. J. Oper. Res., 301, p. 535, DOI: 10.1016/j.ejor.2021.10.045 20 10.1016/j.ejor.2021.10.045 false true Reference 48438604 /api/reference/48438604 21. Khan, M., Alshahrani, A.N., and Jacquemod, J. (2023). Digital Platforms and Supply Chain Traceability for Robust Information and Effective Inventory Management: The Mediating Role of Transparency. Logistics, 7., DOI: 10.3390/logistics7020025 21 10.3390/logistics7020025 false true Reference 48438605 /api/reference/48438605 22. Panigrahi 2022: Management of inventory for firms’ efficiency—A study on steel manufacturing industry., J. Adv. Manag. Res., 19, p. 443, DOI: 10.1108/JAMR-08-2021-0273 22 10.1108/JAMR-08-2021-0273 false true Reference 48438606 /api/reference/48438606 23. Nagashima 2015: Impacts of adaptive collaboration on demand forecasting accuracy of different product categories throughout the product life cycle., Supply Chain. Manag.-Int. J., 20, p. 415, DOI: 10.1108/SCM-03-2014-0088 23 10.1108/SCM-03-2014-0088 false true Reference 48438607 /api/reference/48438607 24. Aamer 2023: Demand forecasting accuracy in the pharmaceutical supply chain: A machine learning approach., Int. J. Pharm. Healthc. Mark., 17, p. 1, DOI: 10.1108/IJPHM-05-2021-0056 24 10.1108/IJPHM-05-2021-0056 false true Reference 48438608 /api/reference/48438608 25. Bandaly 2016: Impact of lead time variability in supply chain risk management., Int. J. Prod. Econ., 180, p. 88, DOI: 10.1016/j.ijpe.2016.07.014 25 10.1016/j.ijpe.2016.07.014 false true Reference 48438609 /api/reference/48438609 26. Dominguez 2020: On the dynamics of closed-loop supply chains under remanufacturing lead time variability., Omega-Int. J. Manag. Sci., 97, p. 102106, DOI: 10.1016/j.omega.2019.102106 26 10.1016/j.omega.2019.102106 false true Reference 48438610 /api/reference/48438610 27. Islam 2022: An inventory model for a three-stage supply chain with random capacities considering disruptions and supplier reliability., Ann. Oper. Res., 315, p. 1703, DOI: 10.1007/s10479-020-03639-z 27 10.1007/s10479-020-03639-z false true Reference 48438611 /api/reference/48438611 28. Kamalahmadi 2016: Developing a resilient supply chain through supplier flexibility and reliability assessment., Int. J. Prod. Res., 54, p. 302, DOI: 10.1080/00207543.2015.1088971 28 10.1080/00207543.2015.1088971 false true Reference 48438612 /api/reference/48438612 29. Wang, C., Li, M.C., and Cui, N.F. (2023). Improving reliability of assembly supply chains with disruption risk: Stakeholders’ subsidy interplay. Int. J. Prod. Res., DOI: 10.1080/00207543.2023.2183718 29 10.1080/00207543.2023.2183718 false true Reference 48438613 /api/reference/48438613 30. Shukla 2018: Sensing endogenous seasonality in the case of a coffee supply chain., Int. J. Logist.-Res. Appl., 21, p. 279, DOI: 10.1080/13675567.2017.1395829 30 10.1080/13675567.2017.1395829 false true Reference 48438614 /api/reference/48438614 31. Shukla 2012: Rogue seasonality detection in supply chains., Int. J. Prod. Econ., 138, p. 254, DOI: 10.1016/j.ijpe.2012.03.026 31 10.1016/j.ijpe.2012.03.026 false true Reference 48438615 /api/reference/48438615 32. Valle, M., Lehmhus, D., Gianoglio, C., Ragusa, E., Seminara, L., Bosse, S., and Thoben, K.D. (2023). Advances in System-Integrated Intelligence, SYSINT 2022, Springer., DOI: 10.1007/978-3-031-16281-7 32 10.1007/978-3-031-16281-7 false true Reference 48438616 /api/reference/48438616 33. Hong 2016: Multiple-vendor, multiple-retailer based vendor-managed inventory., Ann. Oper. Res., 238, p. 277, DOI: 10.1007/s10479-015-2040-0 33 10.1007/s10479-015-2040-0 false true Reference 48438617 /api/reference/48438617 34. Lin 2016: Investing in lead-time variability reduction in a collaborative vendor-buyer supply chain model with stochastic lead time., Comput. Oper. Res., 72, p. 43, DOI: 10.1016/j.cor.2016.02.002 34 10.1016/j.cor.2016.02.002 false true Reference 48438618 /api/reference/48438618 35. Wen, C.L., Wee, H.M., and Wu, S.M. (2014, January 21–22). Revisiting Lean Manufacturing Process with Vendor Managed Inventory System. Proceedings of the 5th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2014), Xi’an, China., DOI: 10.2991/iemi-14.2014.21 35 10.2991/iemi-14.2014.21 false true Reference 48438619 /api/reference/48438619 36. Guan 2020: Demand information sharing in competing supply chains with manufacturer-provided service., Int. J. Prod. Econ., 220, p. 107450, DOI: 10.1016/j.ijpe.2019.07.023 36 10.1016/j.ijpe.2019.07.023 false true Reference 48438620 /api/reference/48438620 37. Lee, T.S., and Zhou, Q. (2010, January 25–31). The Effect of Supply Information Sharing in a Supply Chain. Proceedings of the Fourth International Conference on Operations and Supply Chain Management (ICOSCM 2010), Hong Kong and Guiangzhou, China. 37 false true Reference 48438621 /api/reference/48438621 38. Baah 2022: Effect of information sharing in supply chains: Understanding the roles of supply chain visibility, agility, collaboration on supply chain performance., Benchmarking-Int. J., 29, p. 434, DOI: 10.1108/BIJ-08-2020-0453 38 10.1108/BIJ-08-2020-0453 false true Reference 48438622 /api/reference/48438622 39. Manavalan 2019: A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements., Comput. Ind. Eng., 127, p. 925, DOI: 10.1016/j.cie.2018.11.030 39 10.1016/j.cie.2018.11.030 false true Reference 48438623 /api/reference/48438623 40. Qureshi, M. (2022). Evaluating Enterprise Resource Planning (ERP) Implementation for Sustainable Supply Chain Management. Sustainability, 14., DOI: 10.3390/su142214779 40 10.3390/su142214779 false true Reference 48438624 /api/reference/48438624 41. Hsiao 2022: Blockchain-Based Supply Chain Information Sharing Mechanism., IEEE Access, 10, p. 78875, DOI: 10.1109/ACCESS.2022.3194157 41 10.1109/ACCESS.2022.3194157 false true Reference 48438625 /api/reference/48438625 42. Xue 2021: Blockchain-driven supply chain decentralized operations—Information sharing perspective., Bus. Process Manag. J., 27, p. 184, DOI: 10.1108/BPMJ-12-2019-0518 42 10.1108/BPMJ-12-2019-0518 false true Reference 48438626 /api/reference/48438626 43. Bratt, C., Sroufe, R., and Broman, G. (2021). Implementing Strategic Sustainable Supply Chain Management. Sustainability, 13., DOI: 10.3390/su13158132 43 10.3390/su13158132 false true Reference 48438627 /api/reference/48438627 44. Yakovleva, N., Frei, R., and Murthy, S.R. (2019). Sustainable Development Goals and Sustainable Supply Chains in the Post-Global Economy, Springer., DOI: 10.1007/978-3-030-15066-2 44 10.1007/978-3-030-15066-2 false true Reference 48438628 /api/reference/48438628 45. Mridha 2023: Joint effects of production quality improvement of biofuel and carbon emissions towards a smart sustainable supply chain management., J. Clean. Prod., 386, p. 135629, DOI: 10.1016/j.jclepro.2022.135629 45 10.1016/j.jclepro.2022.135629 false true Reference 48438629 /api/reference/48438629 46. Sarkar 2021: Combined effects of carbon emission and production quality improvement for fixed lifetime products in a sustainable supply chain management., Int. J. Prod. Econ., 231, p. 107867, DOI: 10.1016/j.ijpe.2020.107867 46 10.1016/j.ijpe.2020.107867 false true Reference 48438630 /api/reference/48438630 47. Yadav 2021: Reduction of waste and carbon emission through the selection of items with cross-price elasticity of demand to form a sustainable supply chain with preservation technology., J. Clean. Prod., 297, p. 126298, DOI: 10.1016/j.jclepro.2021.126298 47 10.1016/j.jclepro.2021.126298 false true Reference 48438631 /api/reference/48438631 48. Kalkha 2023: The Rising Trends of Smart E-Commerce Logistics., IEEE Access, 11, p. 33839, DOI: 10.1109/ACCESS.2023.3252566 48 10.1109/ACCESS.2023.3252566 false true Reference 48438632 /api/reference/48438632 49. Wang 2022: Influence of Environmental Regulation on Corporate Green Supply Chain Management: The Regulating Effect of Environmental Dynamism., Front. Environ. Sci., 10, p. 947022, DOI: 10.3389/fenvs.2022.947022 49 10.3389/fenvs.2022.947022 false true Reference 48438633 /api/reference/48438633 50. Jaegler 2020: Sustainability concerns in luxury supply chains: European brand strategies and French consumer expectations., Bus. Strategy Environ., 29, p. 2715, DOI: 10.1002/bse.2531 50 10.1002/bse.2531 false true Reference 48438634 /api/reference/48438634 51. Le 2023: Linking big data, sustainable supply chain management and corporate performance: The moderating role of circular economy thinking., Int. J. Logist. Manag., 34, p. 744, DOI: 10.1108/IJLM-01-2022-0011 51 10.1108/IJLM-01-2022-0011 false true Reference 48438635 /api/reference/48438635 52. Gkountani 2022: Mapping sustainability assessment methods in agri-food supply chains: A circular economy perspective., Sci. Pap.-Ser. Manag. Econ. Eng. Agric. Rural. Dev., 22, p. 361 52 false true Reference 48438636 /api/reference/48438636 53. Shahparvari 2021: Closing the loop: Redesigning sustainable reverse logistics network in uncertain supply chains., Comput. Ind. Eng., 157, p. 107093, DOI: 10.1016/j.cie.2020.107093 53 10.1016/j.cie.2020.107093 false true Reference 48438637 /api/reference/48438637 54. Tavana 2021: An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics., Environ. Sci. Pollut. Res., 28, p. 53953, DOI: 10.1007/s11356-021-14302-w 54 10.1007/s11356-021-14302-w false true Reference 48438638 /api/reference/48438638 55. Bikfalvi, P., Dudás, L., Hornyák, O., Kulcsár, G., Nehéz, K., and Tóth, T. (2009). Logisztikai Informatika, Nemzeti Tankönyvkiadó. 55 false true Reference 48438639 /api/reference/48438639 56. Goldston 2020: The Evolution of ERP Systems: A Literature Review., Int. J. Innov. Sci. Res. Technol., 5, p. 9, DOI: 10.38124/IJISRT20APR065 56 10.38124/IJISRT20APR065 false true Reference 48438640 /api/reference/48438640 57. Schubert, A. (2007). Az Ellátási Lánc Információs Folyamatai/Information Processes of the Supply Chain (Műhelytanulmányok No. 85), Budapesti Corvinus Egyetem. 57 false true Reference 48438641 /api/reference/48438641 58. Elbahri, F.M., Ismael Al-Sanjary, O., Ali, M.A.M., Ali Naif, Z., Ibrahim, O.A., and Mohammed, M.N. (2019, January 8–9). Difference Comparison of SAP, Oracle, and Microsoft Solutions Based on Cloud ERP Systems: A Review. Proceedings of the 2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA), Penang, Malaysia., DOI: 10.1109/CSPA.2019.8695976 58 10.1109/CSPA.2019.8695976 false true Reference 48438642 /api/reference/48438642 59. Liebetrau, F., and Mockel, A. (2021, January 22–25). Anomaly investigation of electric drive systems using big scattered test stand data on the example of a PMSM traction drive. Proceedings of the 2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Dallas, TX, USA., DOI: 10.1109/SDEMPED51010.2021.9605512 59 10.1109/SDEMPED51010.2021.9605512 false true Reference 48438643 /api/reference/48438643 60. Monroy, C., Domínguez-Martínez, E., Taylor, B., Marin, O.P., Parise, E., and Reid, V.M. (2021). Understanding the causes and consequences of variability in infant ERP editing practices. Dev. Psychobiol., 63., DOI: 10.1002/dev.22217 60 10.1002/dev.22217 false true Reference 48438644 /api/reference/48438644 61. Wilson 2022: The circular economy meets artificial intelligence (AI): Understanding the opportunities of AI for reverse logistics., Manag. Environ. Qual. Int. J., 33, p. 9, DOI: 10.1108/MEQ-10-2020-0222 61 10.1108/MEQ-10-2020-0222 false true Reference 48438645 /api/reference/48438645 62. Yathiraju 2022: Investigating the use of an Artificial Intelligence Model in an ERP Cloud-Based System., Int. J. Electr. Electron. Comput., 7, p. 1, DOI: 10.22161/eec.72.1 62 10.22161/eec.72.1 false true Reference 48438646 /api/reference/48438646 63. 2016: Production Logistics Simulation Supported by Process Description Languages., Manag. Prod. Eng. Rev., 7, p. 13 63 false true Reference 48438647 /api/reference/48438647 64. 2016: Kapacitásmodellezés és az IT-architektúra-tervezés kihívásainak vizsgálata statisztikai és prediktív analitikai eszközökkel., Statisztikai Szle., 94, p. 1149, DOI: 10.20311/stat2016.11-12.hu1149 64 10.20311/stat2016.11-12.hu1149 false true Reference 48438648 /api/reference/48438648 65. Trappey 2021: An intelligent patent recommender adopting machine learning approach for natural language processing: A case study for smart machinery technology mining., Technol. Forecast. Soc. Chang., 164, p. 120511, DOI: 10.1016/j.techfore.2020.120511 65 10.1016/j.techfore.2020.120511 false true Reference 48438649 /api/reference/48438649 66. Adelantado 2022: Internet of Vehicles and Real-Time Optimization Algorithms: Concepts for Vehicle Networking in Smart Cities., Vehicles, 4, p. 1223, DOI: 10.3390/vehicles4040065 66 10.3390/vehicles4040065 false true Reference 48438650 /api/reference/48438650 67. Chen 2021: Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0., Int. J. Prod. Econ., 238, p. 108157, DOI: 10.1016/j.ijpe.2021.108157 67 10.1016/j.ijpe.2021.108157 false true Reference 48438651 /api/reference/48438651 68. Fu, Y., Ma, X., Gao, K., Li, Z., and Dong, H. (2023). Multi-Objective Home Health Care Routing and Scheduling with Sharing Service via a Problem-Specific Knowledge-Based Artificial Bee Colony Algorithm. IEEE Trans. Intell. Transp. Syst., DOI: 10.1109/TITS.2023.3315785 68 10.1109/TITS.2023.3315785 false true Reference 48438652 /api/reference/48438652 69. Wu, Z., Zhou, R., Goh, M., Wang, Y., Xu, Z., and Song, W. (2023). (DT4Smart) a digital twin-based modularized design approach for smart warehouses. Int. J. Comput. Integr. Manuf., 1–22., DOI: 10.1080/0951192X.2023.2278100 69 10.1080/0951192X.2023.2278100 false true Reference 48438653 /api/reference/48438653 70. 2020: Strategic analysis of Zalaegerszeg Proving Ground., J. Eng. Manag. Compet. (JEMC), 10, p. 38 70 false true Reference 48438654 /api/reference/48438654 71. Lewin, K. (1946). Resolving Social Conflicts, Harper and Row. 71 false true Reference 48438655 /api/reference/48438655 72. Sajtos, L., and Mitev, A. (2007). SPSS Kutatási és Adatelemzési Kézikönyv, Alinea Kiadó. 72 false true Reference 48438656 /api/reference/48438656 73. Freedman, D., Pisani, R., and Purves, R. (2005). Statisztika, Typotex. 73 false true Reference 48438657 /api/reference/48438657 74. Snedecor, G.W., and Cochran, W.G. (1989). Statistical Methods, Iowa State University Press. [8th ed.]. 74 false true Reference 48438658 /api/reference/48438658 75. Füstös, L., Kovács, E., Meszéna, G., and Simonné Mosolygó, N. (2007). Alakfelismerés. Sokváltozós Statisztikai Módszerek, Új Mandátum Könyvkiadó. 75 false true Reference 48438659 /api/reference/48438659 76. Khine, M.S. (2013). Application of Structural Equation Modeling in Educational Research and Practice, Sense Publishers., DOI: 10.1007/978-94-6209-332-4 76 10.1007/978-94-6209-332-4 false true Reference 48438660 /api/reference/48438660 77. Sebastian 2015: An overview of the pathway idea and its applications in statistical and physical sciences., Axioms, 4, p. 530, DOI: 10.3390/axioms4040530 77 10.3390/axioms4040530 false true Reference 48438661 /api/reference/48438661 78. 2023: Possibilities of short supply chains in the sustainable logistics in Zala County., J. Eng. Manag. Compet. (JEMC), 13, p. 140 78 false true Reference 48438662 /api/reference/48438662 79. Hunyadi, L., Mundruczó, G., and Vita, L. (2000). Statisztika, Aula Kiadó. 79 false true Reference 48438663 /api/reference/48438663 80. Mosteller, F., and Tukey, J.W. (1977). Data Analisys and Regression, Addison-Wesley. 80 false true /api/publication/34478440 Szabó Károly et al. Examination of Logistics Simulation Demand Related to Enterprises: Focusing on a Hungarian County. (2024) LOGISTICS (BASEL) 2305-6290 8 1 p. 7<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10068114"><a href="/gui2/?type=authors&mode=browse&sel=10068114" target="_blank">Szabó Károly (<span class="authorship-author-name">Szabó Károly</span> <span class="authorAux-mtmt"> menedzsment, logisztika</span>) </a> </span> <span class="author-affil">Budapesti Gazdasági Egyetem</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10037836"><a href="/gui2/?type=authors&mode=browse&sel=10037836" target="_blank">Szabó László (<span class="authorship-author-name">Szabó László</span> <span class="authorAux-mtmt"> menedzsment, ellátási lánc menedzsment</span>) </a> </span> <span class="author-affil"><span title="Budapesti Gazdasági Egyetem">BGE</span>/<span title="College of Finance and Accountancy">PSZK</span>/Gazdaságinformatika Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10023411"><a href="/gui2/?type=authors&mode=browse&sel=10023411" target="_blank">Kása Richárd (<span class="authorship-author-name">Kása Richárd</span> <span class="authorAux-mtmt"> Menedzsment</span>) </a> </span> <span class="author-affil"><span title="Budapesti Gazdasági Egyetem">BGE</span>/<span title="College of Finance and Accountancy">PSZK</span>/Department of Management and Entrepreneurship</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;34478440" target="_blank">Examination of Logistics Simulation Demand Related to Enterprises: Focusing on a Hungarian County</a></div> <div> <span class="journal-title">LOGISTICS (BASEL)</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2305-6290">2305-6290</a>)</span>: <span class="journal-volume">8</span> <span class="journal-issue">1</span> <span class="page"> p. 7. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.3390/logistics8010007" target="_blank" href="https://doi.org/10.3390/logistics8010007"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001192736300001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001192736300001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85188899477" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85188899477"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/2305-6290/8/1/7" target="_blank" href="https://www.mdpi.com/2305-6290/8/1/7"> Other URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Journal subject: Scopus - Information Systems and Management&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">Journal subject: Scopus - Management Information Systems&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">Journal subject: Scopus - Management Science and Operations Research&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> <div class="journal-subject">Journal subject: Scopus - Transportation&nbsp;&nbsp;&nbsp;Rank:&nbsp;Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 1</span> | Independent citation: 1 | Self citation: 0 | Unknown citation: 0 | Number of citations in WoS: 1 | Number of citations in Scopus:&nbsp;1 | WoS/Scopus assigned:&nbsp;1 | Number of citations with DOI:&nbsp;1 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;34478440&sort=publishedYear,desc&sort=title"> Number of cited publications: 6 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 34478440</span> | <span class="status-data status-VALIDATED"> Validated </span> Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2024.08.22. 13:24 Ákos Cservenák (mechatronika) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Department of Business Information Technology, Faculty of Finance and Accountancy, Budapest Business University, Budapest, 1149, Hungary Department of Management and Entrepreneurship, Faculty of Finance and Accountancy, Budapest Business University, Budapest, H 1149, Hungary Export Date: 12 September 2024; Cited By: 0</pre> </div></div>