Logistics Service Research Articles

Planning the customer service process of a logistics company based on implementing green technologies

The peculiarities of planning environmentally oriented customer service for a logistics company based on implementing "green" technologies are discussed in the article. It has been researched that planning is an integral part of the successful management of any company, especially in the logistics sector, where customer satisfaction and operational efficiency are key factors. Under modern conditions, to respond to customer requests, logistics companies must take into account the impact of their activities on the environment and implement appropriate methods to minimize the negative impact on the environment, and accordingly, the process of planning customer service in a logistics company should include an environmental component. Given this, the importance of integrating environmental factors and business processes at each stage of planning to ensure sustainable development of a logistics company based on forming a cyclic approach to planning environmentally oriented customer service is substantiated. The method of iterative planning that allows a logistics company not only to improve the quality of customer service but also to integrate environmental practices into its activities, which meets the modern requirements of sustainable development and social responsibility of business has been established. The developed model of environmentally-oriented planning of customer service combines business processes of logistics service and "green" technologies, transforms the operational efficiency of a logistics company in the context of sustainable development, substantiates the integration of environmentally sustainable solutions at all stages of the logistics chain - from initial planning to the final delivery of goods to consumers. To support the proposed model, the implementation of Power-to-X technology is recommended, which allows the conversion of excess renewable energy into energy specifically for logistics and transportation purposes. The implementation of this measure enables the logistics company to reduce emissions and increase energy efficiency, to form a comprehensive approach to the development and integration of environmentally friendly technologies in the company's logistics operations to increase efficiency and competitiveness. It is emphasized that the proposed model demonstrates a comprehensive approach to building a highly efficient and at the same time environmentally sustainable logistics system of the company by integrating innovative "green" technologies.

A PURPOSE CONCEPTUAL FRAMEWORK TO EXAMINE THE CORRELATON OF LOGISTICS SERVICE QUALITY, LOGISTICS PERFORMANCE & COMPETITIVE ADVANTAGE OF LOGISTICS SERVICE PROVIDERS IN THAILAND

The logistics service offers a crucial role in the process of developing into the worldwide market. Several nations must enhance their logistics service operations to achieve strong performance and attain a competitive edge in the market. Logistics service quality is a crucial element in Thailand's logistics operations. It is a major feature in developing a new conceptual model for logistics service performance, which is essential for achieving competitiveness in the logistics sector. The aim of this study is to investigate the relationship between the framework of logistics service quality, logistics performance and competitive advantage of logistics service provider (LSPs) firms in Thailand. This study utilizes primary data and applies a quantitative methodology, involving the collecting and analysis of research data using a strategy that emphasizes quantification. The sample will be LSPs companies in Thailand. The future data in this study will be analyzed using the statistical software packages SPSS and Smart PLS. Partial least squares structural equation modelling (PLS-SEM) is a statistical method employed for data analysis, with the primary goal of enhancing the research model. Thus, the study presents a conceptual framework that suggests that enhancing service quality can improve the logistics performance and competitive advantage of the logistics service provider business in Thailand.

The Impact of Organizational Culture on Employee Performance: A Case Study at Foreign-Invested Logistics Service Enterprises Approaching Sustainability Development

The Impact of Organizational Culture on Employee Performance: A Case Study at Foreign-Invested Logistics Service Enterprises Approaching Sustainability Development

The Effectiveness of Implementing Warehouse Management System on Productivity Improvement and Stock Accuracy (A Case Study on FMCG Logistic Service Companies in Palembang, Indonesia)

This study investigates the effectiveness of implementing Warehouse Management Systems (WMS) on productivity improvement and stock accuracy in FMCG logistics service companies in Palembang, Indonesia. By comparing manual, outsourced, and in-house WMS, the research analyzes their impact on key performance indicators through a quantitative research design using descriptive analytics and multiple regression analysis. Data collection involved measuring productivity per person per hour and stock accuracy per SKU, complemented by interviews with employees. The findings reveal that in-house WMS significantly enhance productivity and stock accuracy compared to outsourced and manual systems. This research provides valuable insights for logistics companies aiming to optimize their warehouse operations and improve overall efficiency.

The Effect of Service Quality, Cargo Handling Rates, and Infrastructure Facilities on Customer Satisfaction in Aircraft Cargo Expedition Services Pt Angkasa Pura Logistik Yogyakarta

The demand for logistics services is currently high, evidenced by increased imports to Indonesia from 2022 to 2023. Logistics service providers, such as PT Angkasa Pura Logistik Yogyakarta, must consistently maintain customer satisfaction. Therefore, this study examines how service quality, pricing, and infrastructure influence customer satisfaction at PT Angkasa Pura Logistik Yogyakarta. This research investigates the impact of service quality, cargo handling tariffs, and infrastructure on customer satisfaction with air freight services provided by PT Angkasa Pura Logistik Yogyakarta. This study employs a quantitative approach, utilizing accidental sampling. The sample size consists of 80 respondents. Data analysis is conducted through multiple linear regression analysis (SPSS software version 26). The results indicate that service quality, cargo handling tariffs, and infrastructure positively and significantly impact customer satisfaction, both partially and simultaneously. The most significant variable influencing customer satisfaction is service quality.

Customer Satisfaction and Repurchase Intention in Terms of E-Commerce Logistics Service Quality and Recovery Service

Abstract The shift from traditional markets to digital markets makes the community's need for expedition services very high. The increasing number of business competitors in electronic services requires companies to always pay attention to consumer needs and try to meet consumer expectations by providing quality electronic services that can create customer satisfaction. This study aims to determine the effect of E-Service Quality and E-Recovery Service on Repurchase Intention through Customer Satisfaction as a mediating variable. The type of research used is explanatory research with a quantitative approach. The sample is 100 respondents who are J&T Express Indonesia customers who have submitted complaints to the X @jntexpressid. Data analysis used is PLS- SEM analysis with mediating effect. The results showed that: the E-Service Quality had a significant direct and indirect effect on Repurchase Intention through Customer Satisfaction;variable E-Recovery Service is not a significant direct effect on Repurchase Intention but an indirect significant effect on Repurchase Intention through Customer Satisfaction; Customer Satisfaction as a mediating variable significant effect on Repurchase Intention. Abstrak Pergeseran pasar tradisional ke pasar digital menjadikan kebutuhan masyarakat akan jasa ekspedisi sangat tinggi. Meningkatnya jumlah pesaing bisnis dalam layanan elektronik menuntut perusahaan untuk selalu memperhatikan kebutuhan konsumen serta berusaha memenuhi harapan konsumen dengan memberikan kualitas pelayanan elektronik yang dapat menciptakan kepuasan konsumen. Penelitian ini bertujuan untuk mengetahui pengaruh E-Service Quality dan E-Recovery Service terhadap Repurchase Intention melalui Customer Satisfaction sebagai variabel mediasi. Jenis penelitian yang digunakan adalah explanatory research dengan pendekatan kuantitatif. Sampel sebanyak 100 responden yang merupakan pelanggan J&T Express Indonesia yang pernah mengajukan keluhan kepada akun X @jntexpressid. Analisis data yang digunakan adalah analisis PLS-SEM dengan efek mediasi. Hasil penelitian menunjukkan bahwa: variabel E-Service Quality berpengaruh signifikan secara langsung dan tidak langsung terhadap Repurchase Intention melalui Customer Satisfaction; variabel E-Recovery Service tidak berpengaruh signifikan secara langsung terhadap Repurchase Intention namun berpengaruh signifikan secara tidak langsung terhadap Repurchase Intention melalui Customer Satisfaction; Customer Satisfaction sebagai variabel mediasi berpengaruh signifikan terhadap Repurchase Intention.

The Impact of Digital Transformation on the Competitive Advantage of Businesses: Case Study of Businesses Providing Logistic Services in HCMC, Vietnam

The Impact of Digital Transformation on the Competitive Advantage of Businesses: Case Study of Businesses Providing Logistic Services in HCMC, Vietnam

Impact of transport and logistics services on transformation of regional economic system

Transformational changes arise as a result of the impact of internal and external factors on the socio-economic system of the region. In the current economic conditions, transport and logistics services have an impact on the movement of resources and human capital and contribute to the intensification of production and market processes in the subjects of the country.

Importance of perfect logistics service during transportation

The importance of logistics in an enterprise is comparable to the general concept and functions. The use of multimodal transportation assumes to pay special attention to the perfect logistics service with a zero level of marriage. The paper reveals the concept of logistics service, examines the content of its operations, describes the quality criteria and highlights the prospects for application.

Cloud technologies in transport logistics

Recently, manufacturers and suppliers of logistics services have been increasingly using cloud technologies in order to reduce their costs and optimize business operations. In clouds there is an opportunity to create a single platform for cargo owners and contractors. The article discusses tracking (tracking the movement of cargo along the route), which helps the company to calculate the exact time of arrival of the vehicle at the point of delivery. With this data, it is possible to plan cargo deliveries. In addition, by means of the cloud, the problem of identifying potholes in roads is solved. Tracking helps to evaluate the quality of the carrier.

Penerapan Metode Vouching Pada Audit Investigatif Atas Siklus Pengeluaran

Business competition is increasing from time to time, encouraging companies to make financial reports as accurate as possible. These conditions cause companies to try various ways to create good financial reports by acting outside the limits, such as manipulating financial statements which are classified as fraud. The effort that must be made to detect and disclose fraud is an investigative audit that is carried out to detect fraud by collecting and analyzing evidence. PT XYZ as a client of KAP Y is a company in the field of logistics services that requires investigative audit services to reveal indications of fraud that occurred. This research aims to analyze the application of the vouching method in the investigative audit process of the expense cycle. The approach used in this research is a case study-based qualitative approach. The data used is secondary data through interviews with KAP Y auditors. Through the vouching method, the auditor can find fraud that occurs at PT XYZ in the expenditure cycle. The auditor found that there was a large amount of funds spent for unknown reasons and there was no valid evidence that could explain the use of these funds.

Enhancing Supply Chain Safety and Security: A Novel AI-Assisted Supplier Selection Method

The "Make or Buy” decision and the supplier selection are critical steps for the efficient operation of companies' supply chains. Safety and security are paramount considerations, especially in industries like logistics, where supply chains are vulnerable to external threats and disruptions. In this scientific article, we present a novel Artificial Intelligence (AI)-assisted supplier selection method that significantly enhances the safety and security of suppliers. During our research project, we have created an expert system and a corresponding knowledge base with the relevant rules to support supply chain decision-makers in selecting logistics service providers for warehousing services. The foundation of the AI-assisted supplier selection method is advanced data analytics and the application of expert systems, enabling companies to evaluate potential suppliers in detail from a safety and security perspective. The applied expert systems can identify potential risks and make predictions about supplier performance in the future. In the turbulent environment of the global supply chain, selecting long-term partners like warehousing services providers is critical for the success of the organization. A wrong supplier selection can hardly be reversed in warehousing services, as the cost of change is usually high. The article demonstrates the practical application of the expert system-assisted supplier selection method in a real-world supply chain environment and thoroughly analyzes the achieved results and advantages. The results show that the expert system-assisted method not only increases supplier safety and security but also contributes to improving the efficiency and sustainability of the supply chain. This article provides valuable guidance and solutions for companies looking to enhance their supplier selection using expert system technologies, thereby increasing the safety and security of their supply chains.

Transportation management, inventory management, and logistics service: Basis for improved supply chain management

Transportation management, inventory management, and logistics service: Basis for improved supply chain management

The impact of foreign direct investment on exports in the kingdom of Saudi Arabia (an empirical study)

This study is considered one of the few studies that attempted to explore the relationship between exports and foreign direct investment in the Kingdom of Saudi Arabia. The study aims to determine the nature of the relationship between exports and foreign direct investment in the Kingdom of Saudi Arabia during the period between (1990–2023). Employing Ender’s methodology using cointegration and error correction model. The study also relies on data on Saudi exports and foreign direct investment inflows from the World Bank databases. The results indicate the existence of Cointegration between foreign direct investment (FDI) inflows and the Saudi exports in the period (1990–2023), as for the causal relationship between the two variables, the results showed the causal relation between exports and FDI inflows from the direction of exports only, which means that Saudi exports cause FDI inflows in Saudi Arabia, and the study recommends giving more incentives to attract foreign investors in different sector rather than oil sector, besides improving the logistical services which is vital to any investment attraction strategy.

Small Autonomous Vehicles in Pedestrian Contexts: A First Analysis of Logistics Performances in Terms of Commercial Speed

There is a lot of talk about autonomous vehicles, and Europe is very much focusing on their use and deployment. However, the field use of these vehicles is still very limited. The proposed research refers to a specific category of autonomous vehicles, that is, small ground autonomous vehicles circulating in pedestrian environments, with a focus on their use in operating logistical services. More precisely, this paper presents data collected during a challenging experiment carried out in the city of Trikala, Greece, in the context of the major European project “SHOW”. A statistical analysis of these sampled data concerning service times, in terms of commercial speed, for collecting organic waste from cafeterias is presented. The aim of this paper is to verify whether data collected from autonomous vehicles used for this service are reliable and whether accurate estimates can be derived from these data to be used as standard parameters of these vehicles. For these reasons, we analyze the operational performance of the service performed by small autonomous vehicles, with particular attention to the interactions between them and pedestrians and the ability of users to load and unload small vehicles. More precisely, we verify whether there is an adaptation period in which human–vehicle interactions become smoother and whether commercial speed varies at different times of day, that is, if there are peak periods in which droid speed is limited because of the intensity of interactions with pedestrians. A statistical analysis of these data is proposed to find answers to these research questions. It made it possible to highlight an adaptation curve of humans to droids and that no peak periods emerged where droid speed was limited because of the intensity of interactions with pedestrians. This result is probably related to the fact that stability of service operation was not achieved. Had the period of experimentation been extended, it would probably have been possible to identify peak and off-peak periods and the relative commercial speeds. However, it is important to note that the achievement of service operation stability takes a long time. The results obtained are interesting and contribute to the current state of knowledge. In fact, data analyzed here are collected on public land, refer to interactions that take place between small autonomous ground vehicles and a heterogeneous population, and therefore constitute a starting point for the development of technologies that facilitate human–driver interactions and thus lead to an improvement in the performance of sustainable logistics services managed by autonomous vehicles and facilitate their dissemination.

Logistics input complexity and comparative advantage in manufacturing: based on the perspective of global value chains

ABSTRACT Logistics is an essential service for manufacturing because it supports the coordination and integration of global production activities, ultimately reducing costs and improving efficiency. However, it is not clear that the complex structural relationship between logistics and manufacturing under the Global Value chains (GVCs). Consequently, employing the input-output model, we develop the logistics input complexity (LIC) to capture the complex structural characteristics of logistics services embodied in manufacturing sectors and investigate its role in manufacturing comparative advantage. We find that the logistics input complexity can boost manufacturing competitiveness. Furthermore, we also confirm that the domestic and foreign groups of LIC have at least a partially complementary effect on the export competitiveness of manufacturing. Finally, we identify heterogeneity in the domestic and foreign groups’ five subdivision logistics modes of LIC. It suggests that logistics service providers must precisely match the related manufacturing production chains to cultivate a comparative advantage in manufacturing.

Research on the Optimization of Cross-Border Logistics Routes under the Belt and Road Initiative

Within the framework of the Belt and Road Initiative, optimizing cross-border logistics routes is essential for enhancing the efficiency of logistics services and reducing transportation costs. This paper analyzes the current state of logistics networks in countries along the Belt and Road route, identifying major obstacles to the efficiency of cross-border logistics such as uneven infrastructure development, complex transnational policies and regulations, and significant geographical and political risks. The study further introduces the theoretical foundation of logistics route optimization and discusses the application of various optimization models and algorithms, such as linear programming and network flow analysis. The paper also highlights the role of modern technologies, such as artificial intelligence and the Internet of Things, in route optimization. These technologies enhance route selection and freight scheduling through real-time data processing and predictive models. Based on these analyses, specific strategies and implementation suggestions are proposed to reduce transportation time and costs by optimizing the logistics network configuration.

Group decision making method for third-party logistics management: An interval rough cloud optimization model

Group decision making in third-party logistics service selection plays an essential role for improving service quality, increasing efficiency and reducing the net cost. Fuzzy and uncertain linguistic variables are commonly used to represent experts‘rankings in optimization problems. To recognize the limits of human cognition and subjectivity of human evaluations, several optimization approaches have been studied to select remanufacturing alternatives in decision making processes, however these methods have certain deficiencies such as lacking manipulation tools of diverse information, randomness, use of predefined parameters increasing uncertainty, interpersonal relations among evaluation criteria. The integration of interval numbers, rough approximations, and cloud model theory plays a significant role to model incomplete and inadequate information occurring in decision making problems. This research paper focuses on the integration of dual interval rough integrated cloud model with best-worst optimization technique, Multi-Attributive Border Approximation area Comparison (MABAC) and Weighted Aggregated Sum Product Assessment (WASPAS) approaches. A novel min–max optimization model based dual interval rough integrated cloud values is designed to compute the weight coefficients and consistency ratio for each criteria. The consistency of proposed optimization model is checked using a consistency ratio test. Secondly, the alternatives are ranked using the proposed DIRI cloud based MABAC and WASPAS approaches using interval clouds based weighted sum and weighted product coefficients, approximation area values and distance formulae. The significance of the proposed model is highlighted with a case study of third-party logistics service management of an electronic firm. The rationality and out-performance of the proposed methodology is studied by a comparative analysis with existing approaches and detailed sensitivity analysis on different variations of criteria weights and parameter.

Innovators and Transformers Revisiting the gap between academia and practice: insights from the green logistics phenomenon

PurposeLogistics and supply chain management (L&SCM) scholars and practitioners have devoted extensive efforts to advancing green logistics practices (GLPs), yet the intersection between the two domains in relation to the topic remains underexplored. To accelerate GLPs’ development amid the escalating climate crisis, this research examines this intersection by comparing the responsiveness of academia and practice to the call for green logistics over time.Design/methodology/approachTo compare between academia and practice, we combined a systematic literature review on the development of GLPs in L&SCM journals (N = 122) with a content analysis of annual and sustainability reports published by the four major global logistics service providers (LSPs: DHL, DB Schenker, UPS and FedEx; N = 156) over the past three decades.FindingsThis research reveals that all the GLPs covered in the L&SCM literature have already been applied and reported by practitioners, both consistently and over a significant period of time. Academic progress, in turn, is delayed by slow-paced empirical methods, elevated research quality standards, prolonged funding and recruitment processes, and extended peer-review intervals. Further, a tendency toward reactive knowledge creation rather than proactive knowledge transfer is evident, obscuring the role of L&SCM scholars in steering the industry’s green advancement.Practical implicationsRecommendations are offered to L&SCM authors, editors, reviewers and university departments to advance pracademic endeavors in green logistics research and increase its responsiveness to global events.Originality/valueThis is one of the first studies to scrutinize the intersection between academia and practice on the evolution of GLPs. The revealed gaps prompted us to suggest a transformative paradigm for academia-practice collaborations targeting the L&SCM discipline at large, combining a bold proactive research stream aimed at knowledge transfer with a more traditional reactive stream aimed at knowledge creation.

Towards Green Transportation Practices Using a Buyer/Supplier Perspective: A Systematic Literature Review

Background: The role of individual supply chain actors in carbon emissions reduction (CER) is well-documented. However, it is critical to identify the conditions required to develop a systemic approach for encouraging these actors to share their visions and align their environmental strategy for CER. This study aims to identify the determinants (motivations, pressures, and incentives) and modalities (practices conducting greening transportation from shippers and logistics service providers (LSP) point of view) necessary for a better environmental alignment between actors for a CER initiative. Methods: We base our argument on a systemic literature review that points out 28 articles written in the period between 2010 and 2023 and fully aligned with the scope of our analysis. Results: The originality of our approach is that we focus on the interplay between shippers and LSPs to better understand the dynamics of green transportation practices. Conclusions: This paper invites researchers to adopt a dyadic approach to the phenomenon in order to better understand how the CER willingness is effectively diffused in the business interactions of shippers and LSP.