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Volume 2, Issue 1, 2023

Abstract

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Quality is a key success factor in the market. For the successful performance of a company, it is very important to have high quality and a quality system, and strive for its development and improvement. In this paper, it has been measured the quality of logistics service using the SERVQUAL model in the TC company as one of the most well-known and most used models in the field of quality measurement. The users of the transport service, the respondents, provided certain information on their expectations, as well as their perceptions of the quality of the transport service from the aspect of all five dimensions: reliability, assurance, empathy, tangibles and responsiveness. The SERVQUAL model was chosen to obtain the final results of the quality of service provided to users. The FUCOM method was applied to obtain the final weights of dimensions. The main goal of this paper is to assess the quality of the transport service in the TC company, so that the company has an insight into its current state, and based on it, takes further steps to improve its quality. Increasing service quality results in greater satisfaction of service users, greater satisfaction results in increased loyalty, which further guarantees the positive performance of the company itself and its safe existence and work on the market. The results have shown that the company has negative final values from the aspect of all five dimensions, which tells us that users are not satisfied with the service provided, and the greatest dissatisfaction was expressed from the aspect of the dimension of tangibles.

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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.

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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.

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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.

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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.

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