Logistics Service Capability Research Articles

FUTURE-PROOFING LOGISTICS: AN EMPIRICAL INSIGHTS ON INNOVATION-DRIVEN LOGISTICS SERVICE PROVIDERS PERFORMANCE

Logistics service providers (LSPs) are a significant individual in supply chain management services. The escalating competitive pressures are placing considerable strain on LSP particularly those operating at the local level, as competition arises from both domestic and international. It becomes crucial for LSP to enhance their performance by aiming for growth and long-term sustainability in this industry. Thence, this study explores the direct influence of logistics service capacity on LSP performance, as well as the mediation influence of innovation linking logistics service capability to logistics performance. This study involved the participation of 127 LSP through survey methodology in Malaysia. The study employed Structural Equation Modelling (SEM) using Partial Least Squares (PLS) estimation to examine and test the hypotheses posited in this study. The results provide valuable understandings for LSPs to enhance their logistics services in alignment with highest performance and customer satisfaction. The findings also show that innovation failed to connect the model of logistics performance The findings are necessary to establish a reliable policy in attaining better logistics performance especially during unprecedented situation. This study extends the degree of knowledge regarding logistical performance during the COVID-19 epidemic and to the innovation as mediation to attain performance in logistics field.

Research on the Development of Cold Chain Logistics in China and Countermeasures in the Post-Epidemic Era

Cold chain logistics has developed rapidly and the scale of the industry has been expanding. Go deep into the front line, the per capita cold chain resources in China’s cold chain logistics are low, there is a shortage of cold chain goods, blindly start construction in various places to expand storage and transportation capacity, the lack of top-level overall planning and design of industry development, repeated construction, uneven distribution of cold chain logistics service capabilities, lack of efficient and unified information sharing platform, imperfect information sharing mechanism, unsmooth flow of market information, insufficient support from industry authorities, poor stability of industry development and other prominent problems, and analyze their causes.

Framework for service quality evaluation of international logistics enterprises from the perspective of cross-border e-commerce supply chain under spherical fuzzy sets

With the rapid development and application of internet technology, cross-border e-commerce (CBEC) has begun to popularize globally and play an important role in China’s foreign trade. The Chinese government has successively introduced multiple policies and regulations to strongly support its rapid development. Compared to the booming trend of CBEC, the development of its supply chain is slightly lacking in momentum, which has formed a certain obstacle to the overall development of CBEC. The supply chain is the foundation of successful CBEC transactions, and the foundation of the supply chain is logistics. The primary task to improve the backwardness of supply chain development is to solve logistics problems. Therefore, while enjoying the dividends brought by the rapid development of CBEC, international logistics enterprises should continuously improve their logistics service capabilities, effectively evaluate their service quality, and then identify problems based on the evaluation results, analyze and improve them. The service quality evaluation of international logistics enterprises from the perspective of CBEC supply chain is a classical multiple attribute group decision making (MAGDM). The Spherical fuzzy sets (SFSs) provide more free space for DMs to portray uncertain information during the service quality evaluation of international logistics enterprises from the perspective of CBEC supply chain. Therefore, this paper expands the partitioned Maclaurin symmetric mean (PPMSM) operator and IOWA operator to SFSs based on the power average (PA) technique and construct induced spherical fuzzy weighted power partitioned MSM (I-SFWPPMSM) technique. Subsequently, a novel MAGDM method is constructed based on I-SFWPPMSM technique and SFNWG technique under SFSs. Finally, a numerical example for service quality evaluation of international logistics enterprises from the perspective of CBEC supply chain is employed to verify the constructed method, and comparative analysis with some existing techniques to testy the validity and superiority of the I-SFWPPMSM technique.

The Use of an Internet of Things Data Management System Using Data Mining Association Algorithm in an E-Commerce Platform

The development of e-commerce has greatly changed the development of social retail formats. Business-to-consumer (B2C) e-commerce model is important. Due to the characteristics of high consumer trust and commodities dominated by electronic products and brand commodities, the income and profits generated are also very considerable. Therefore, the major e-commerce giants have increased the development of B2C formats. Logistics service capability and level have become an important driving force for the development of B2C e-commerce. How to optimize the inventory of B2C e-commerce and realize the organic balance between the economy and service capacity of the whole logistics chain has become a very urgent problem faced by major e-commerce giants. From the perspective of big data, first, the overview of the dataset used is analyzed based on the real operation data of a business to consumer (B2C) e-commerce platform.

Evaluation of the Service Capability of Maritime Logistics Enterprises Based on the Big Data of the Internet of Things Supply Chain System

Marine logistics is one of the main forms of transnational transportation, and the transportation of goods between multinational companies and even countries must be realized through marine logistics. Since maritime logistics involves various factors, such as overseas tariffs and transportation routes, the logistics service capabilities of maritime logistics companies cannot be evaluated by a single standard. This article aims to study the service capabilities of maritime logistics enterprises based on the supply chain system of the Internet of Things big data. In the context of the Internet of Things, the workflow of the intelligent logistics supply chain management system plays an important role, and its main line is the flow of information. Based on the evaluation of logistics service ability and related research on shipping logistics, this paper establishes the evaluation index system of logistics service ability of shipping enterprises and the analytic hierarchy process of logistics service ability evaluation by analyzing the logistics service cases of relevant shipping enterprises. The results show that the logistics capability evaluation method of this study is more targeted for the evaluation of maritime logistics services, with an evaluation accuracy of 97%.

Analysis on Influencing Factors of Cold Chain Logistics of Fresh E-commerce under the New Retail Model

With the development of social economy and the wide application of information technology, online e-commerce and physical retailers have certain limitations in the distribution process, and retail mode faces huge challenges and opportunities under the concept of diversified consumption. The new retail model of "online+offline+logistics", which is based on the Internet, the Internet of Things, intelligent logistics and artificial intelligence advanced technologies, emerged at the historic moment to promote the reform of people's shopping methods, which improve shopping experience. The diversification of shopping forms and channels will certainly force fresh e-commerce enterprises to upgrade their comprehensive cold chain logistics service capabilities to a higher level. Taking the cold chain logistics development direction of fresh food e-commerce under the new retail model as the subject, explore the collaborative development direction of fresh food e-commerce and cold chain logistics, and solve the urgent needs of new retail fresh food e-commerce enterprises.

Design and Implementation of a Logistics Decision Support Platform Based on Global Manufacturing From the Perspective of the Belt and Road Initiative

The belt and road initiative development strategy proposed by Secretary General Xi Jinping is currently being carried out. The world economy will work more closely together, and the logistics industry will advance to higher level of development. In this paper, to help realize improved world-wide logistics, a decision-making platform based on global manufacturing was built from a survey and an analysis of the overall competitiveness of the logistics industry in terms of demand for logistics services and logistics service capabilities. The platform was found to offer good performance and meet the application requirements.

Game Theory Based Decision Coordination Strategy of Agricultural Logistics Service Information System

Under the background of “Internet plus” rapid development, the agricultural logistics industry should apply information technology to every link of the agricultural product logistics industry chain. By making full use of the decision making module of the agricultural logistics information system, we can realize the full sharing of information and data resources, which makes the decision-making scheme of the agricultural logistics information system more optimized. In real economic society, the uncertainty and mismatch between the customer’s logistics service demand and the logistics service capability that the logistics service function provider can provide, that is, when the two information are asymmetric, how to use the third-party contract to coordinate the income and profit distribution of the two, to make the information system decision making more reasonable? This paper mainly studies the coordination scheme of agricultural logistics information system decision making under uncertain output and demand information by introducing the spot market. A joint coordination strategy based on revenue sharing and penalty feedback contracts proposes decentralized decision making based on game theory. Experiments show that the flexible ordering strategy proposed in this paper can reduce the logistics service supply chain’s uncertainty and significantly improve the logistics service supply chain’s overall income level through coordination contracts.

Research on the Selection of Green Cold Chain Logistics Service Providers Based on Combined Weighting-Cloud Model

For enterprises whose products need to be frozen and refrigerated transportation, the selection of green cold chain logistics service providers is one of the indispensable links, cold chain logistics service providers are involved in many different levels, so how to reasonably select cold chain logistics service providers is particularly critical. In this paper, the evaluation criteria system of green cold chain logistics service providers is established from five dimensions: cold chain logistics service quality, cold chain logistics service cost, cold chain logistics service capability, cold chain logistics green competitiveness and cold chain logistics enterprise management status. Combined weighting method based on minimum information discrimination principle, including BWM method and CRITIC method to determine comprehensive weight, avoids the limitation of single weighting method to determine index weight. Aiming at the randomness and fuzziness in the evaluation process of green cold chain logistics providers, a cloud model evaluation method of cold chain logistics providers is proposed. The case study shows that the proposed combined weighting method overcomes the one-sidedness of the single weighting method and improves the rationality of the weights. The cloud model evaluation method of cold chain logistics suppliers proposed in this paper is helpful to deal with the randomness and fuzziness in the process of weight combination, and improve the effectiveness and scientific rationality of the weight combination results.

Mediation Model of Logistics Service Supply Chain (LSSC) Factors Affecting Organisational Performance

This paper presents the modelling of significant Logistics Service Supply Chain (LSSC) factors affecting oil and gas industry performance in the UAE. Data collection involved the projects of Abu Dhabi National Oil Company (ADNOC). The model consisted of six independent constructs, one mediator’s construct and one dependent construct. The six independent constructs are Transport Management; Inventory Management; Order Process Management; Information Flow Management; Agility of logistics service and Integration capabilities of logistics. The mediator construct is logistic information, and the dependent construct is organization performance. The modelling used the AMOS-SEM approach, which indicates the graphical interaction of the factors toward the company performance. The data used to develop the model was gathered through the structured questionnaire survey amongst the selected respondents from the ADNOC oil and gas company in UAE, with a response rate of 90%, indicating strong participation from the population. Total 379 questionnaire forms were collected and used for analysis. The model was constructed according to the conceptual model and assessed at the measurement and structural level of the model. All the individual measurement models achieved the threshold criteria while the structural model reached the required fitness index. Then the model was run for hypothesis testing and found that four of the paths which are Transport Management; Inventory Management; Order Process Management; Information Flow Management have achieved a significant level. Also, Logistics Information Systems has not mediating effect to the relationship of Logistics Service Supply Chain (LSSC) factors affecting oil and gas industry performance in the UAE. This model contributed to the body of knowledge in presenting the relationship of factors affecting the performance of logistics in the oil and gas industry. It is hoped that the oil and gas practitioners can gain from this model to be applied in their profession.

Study on Performance Evaluation of Service Supply Chain by Extension Method

With the rapid development of the service industry, the service supply chain has become one of the most popular areas. With the logistics service supply chain being an important branch of the service supply chain, we should pay attention to the role of logistics service supply chain in enterprises. How to evaluate the logistics service supply chain comprehensively and rationally has become an important task for related enterprises to solve urgently. This paper, through extensive literature analysis and research on logistics service supply chain projects, established an indicator system composed of 18 secondary indicators from three perspectives of customer satisfaction, logistics service capabilities, and co-development ability, using the analytic hierarchy process (AHP) to determine the weight of each index and matter-element analysis to establish a logistics service supply chain performance evaluation model. At the end of the paper, the performance of S logistics enterprise is evaluated. The result turns out to be good, which is consistent with the actual situation, indicating that the evaluation system and method are effective and reliable.

Logistics integration in the supply chain: a resource dependence theory perspective

Firms have strategically used cooperative linkages to establish competitiveness. In this study, we incorporated the resource dependency theory view to assess how trust, satisfaction, and commitment affect firms’ decisions on logistics integration. Also, we examined the link between logistics integration and supply chain performance. The study collected data from 250 South Korean manufacturers for analysis. The results revealed positive impacts of trust, satisfaction, and commitment on logistics integration between manufacturing firms and logistics service providers that enhances logistics service capabilities of the firms. Furthermore, our study showed that building a strategic relationship for logistics services helps the manufacturing firms improve their business and operations performances in their supply chain. Implications and suggestions for future research are discussed.

Exploring the opportunity of digital voice assistants in the logistics and transportation industry

PurposeThe logistics industry has benefited hugely from the growth of e-commerce. The logistics and transportation industry operators have realized that higher-quality service and logistics management provides the competitive edge as the primary channel of communication with consumers. Digital voice assistants (DVA) is an information system based on an artificial intelligence framework that can interact through voice, such that a deliveryman can query for or use information in a relatively short time. The purpose of this paper is to explore the value of DVA in logistic service.Design/methodology/approachThis study aims to develop a framework for innovation and logistics service capabilities of logistics and transportation services to structure a model based on the analysis hierarchy process method to discuss the factors considered when adopting DVA.FindingsThe results of this study implied that common problem and expectations of current operators in the delivery of goods and their expectations of DVA.Practical implicationsInnovative operations and planning are possible with information technology-enabled logistic services. It is important to identify relevant DVA development avenues.Originality/valueThe purpose of this study is to show which factors are significant to the logistics and transportation industry using DVA to aid the deliverymen, and it provides guidance for manager evaluating adopted DVA and its object.

Revisiting the resource-based view on logistics performance in the shipping industry

PurposeThe purpose of this paper is to evaluate empirically the impact of intrafirm resources, interfirm relationships, and logistics service capabilities on logistics performance (LP) in the context of container logistics.Design/methodology/approachFactor analysis was employed to identify the key intrafirm resources (i.e. tangible assets and intangible assets), interfirm relationships (i.e. communication (COM) and long-term relationships), logistics service capabilities (i.e. service efficiency, service reliability, service flexibility, and value-added service), and LP dimensions. Data were collected from a survey of container shipping service providers, and were analyzed by a structural equation model to test the research hypotheses.FindingsThe findings show that interfirm relationships and logistics service capabilities act as mediator variables between intrafirm resources and LP.Research limitations/implicationsThe results of this research support the application of the general theory on firm-level performance and the resource-based view (RBV) as a lens through which LP can be achieved via logistics service capabilities. In addition, the findings lend empirical support to the capability-building view, which asserts the importance of resource investment and relationship maintenance, and the development of distinctive capabilities to enhance performance.Practical implicationsContainer logistics operators should not view their intrafirm resources (including logistics information technology and teamwork organizational culture) or interfirm relationships (including informal COM with key stakeholders and evergreen relationship with key stakeholders) separately; instead, a systems approach should be used.Originality/valueThis research updates the RBV theory by clearly indicating that the overall performance of shipping firms cannot be decided solely by the firm’s own resources. Interfirm relationships and logistics service capabilities are found to be powerful moderators which help shipping firms allocate their resources effectively and thus improve their LP.

Maritime Transport Logistics Service Capabilities Impact On Customer Service And Financial Performance: An Application In The Turkish Maritime Sector

Due to the globalization of economy, Maritime logistics play a very important role in the field of logistics. The reason for working in this framework is to determine the service capabilities of maritime logistics and to identify the relationships between these capabilities and the company’s performance. For these purposes, research models and hypotheses have been developed based on the literature of business managment, logistics and maritime business managment. The research model and hypotheses have been analyzed using the data obtained from the survey of 377 managers of maritime transport companies, who operate freight forwarders in Turkey. According to the research findings, it was found that there is a significant relationship between maritime logistics service capabilities and financial and customer service performance. In addition, it has been revealed that the ability of information intergration from maritime logistics service capabilities has the greatest influence on financial and customer service performance, and also it has become clear that the speed and reliability of maritime logistics service capabilities have no effect on financial and customer service performance.

Research on the Partner Selection Comprehensive Evaluation of Dynamic Logistics Alliance

Dynamic Logistics Alliance is a new form of organization, and partner selection is the basis of its construction. In this paper, a partner selection comprehensive evaluation index system is established in terms of logistics service capability, logistics service cost, logistics service quality, information technology level and cooperative ability, and then the Fuzzy Analytical Hierarchy Process (FAHP) is introduced to evaluate comprehensively, which was tested in the case of four candidate partners under dynamic logistics alliance.

Logistics Capability, Logistics Performance, And The Moderating Effect Of Firm Size: Empirical Evidence From East Coast Malaysia

Based on the underlying Resource-Based View (RBV) perspective, the main objective of this study is to empirically examine the relationship of logistics capability and logistics performance, and the moderating effect of firm size on this relationship. This study adopted a cross-sectional design and collected quantitative data from a total of 81 logistic service providers (LSP) registered with the Federation of Malaysian Manufacturers (FMM) Directory of Malaysian Industries 2013, from three states (i.e., Kelantan, Terengganu, and Pahang) in Peninsular Malaysia. This study used the Pearson correlation and the moderated multiple regression (MMR) to test if the logistics capability has a significant positive effect on firm performance and the moderating effect of firm size on the relationship between logistics capability and firm performance. Findings of this study revealed that logistics capability has a significant positive relationship with logistics performance. Logistics service capabilities and flexible capabilities delivered by firms are vital for liner shipping services. Moreover, this relationship is significantly affected by firm size, which suggests that, in comparison, the inclusion of firm size (large vs. medium/small LSPs) in the logistics capability – logistics performance relationship has a significant moderating effect in changing the degree (volume) of performance. The moderating effect of firm size is shown to be capable of changing the nature of relationship and explains the conditions in which capability causes LSPs to perform better. The presence of a significant moderating effect of firm size (large and medium/small LSP firms) exceeded the linear relationship between logistics capability and logistics performance. The study has bridged the literature gaps in such a way that it offers empirical evidence on the moderating effect of firm size on the relationship between logistics capability and logistics performance using a Malaysian sample. In order to foster the economic development through effective logistics services, the logistics services development policies and programs should therefore focus on providing a supportive platform for logistics service providers to improve their capacities, which would ultimately lead to better performance and the sustainability of the logistics service providers in Malaysia.

Leveraging logistics learning capability to enable logistics service capabilities and performance for international distribution center operators in Taiwan

Purpose– The purpose of this paper is to empirically assess the impacts of logistics learning capability on logistics service capability and organizational performance in the context of international distribution center operators (IDCOs) in Taiwan.Design/methodology/approach– Data for this study were collected by questionnaire survey. A two-steps structural equation modeling (SEM) approach was performed in this study to test the research hypotheses. The first step is performing confirmatory factor analysis (CFA) to assess the validity of the measurement model. The second step proceeds to estimate the structural model between latent variables.Findings– A five-dimension scale including open-mindedness (O), commitment to learning (C), system perspective (E), partner learning (A), and shared vision (N) was proposed in this study and was supported by CFA analysis to measure IDCOs’ logistics learning capability in this study. Results of SEM indicated that logistics learning capability is positively related to logistics service capability, whereas logistics service capability is also positively related to organizational performance. Although logistics learning capability has no direct relationship to organizational performance, we found it indirectly affects organizational performance via logistics service capability.Research limitations/implications– This study primarily focusses on the effect of logistics learning on organizational performance. Future research could incorporate environmental uncertainty as a moderator to assess its impact on the relationship between logistics learning capability and organizational performance.Practical implications– IDCOs can enhance customer service and financial performance by developing logistics learning capability and specifically focussing efforts on supply chain partner learning.Originality/value– This study presents the first to examine the effects of logistics learning capability on logistics service capability and organizational performance in the context of IDCOs. Particularly, this study proposes a five-dimension logistics learning capability scale from a supply chain perspective.

Pharmaceutical Logistics Forecasting of Beijing: An Exploratory Study

Pharmaceutical logistics is closely linked to national economy and people's livelihood. As the national medicine circulation industry development outline (2011-2015) and the new Good Supply Practice’s (GSP) promulgation and implementation in China, Beijing’s pharmaceutical logistics is facing great challenge. Analyzing the current pharmaceutical logistics service capability and predicting the future medical service demand can help us responding to future changes. In this paper, we have predicted the population of Beijing, analyzing medicine consumption per capita, predicting the demand of pallet spaces of Beijing’s pharmaceutical logistics in the future by using the Crystal Ball. We have come to the conclusion: the current storage capability of pharmaceutical logistics enterprises in Beijing can meet 77% demand. In 2020, pharmaceutical logistics enterprises in Beijing require 54, 7700 pallets for storage space, increasing 9,7700 pallets for warehouse to store medicine. We also find that the population has less influence on forecasting model. The logistics technology improvement will cause forecasting model unsuitable for future situation.

The Determination of The Relationships Between Maritime Logistics Service Capabilities And Firm Performance: An Application in Maritime Transport Businesses Operating in Turkey

Ekonominin kuresellesmesi nedeniyle, deniz ulastirma lojistigi, lojistik alaninda cok onemli bir rol oynamaktadir. Bu cercevede calismanin amaci, deniz ulastirma lojistigi hizmet yeteneklerinin belirlenmesi, bu yetenekler ile firma performansi arasindaki nedensel iliskileri ortaya cikartilmasidir. Bu amaclara yonelik olarak, isletme yonetimi, lojistik ve denizcilik isletmeleri yonetimi literaturune dayandirilarak arastirma modeli ve hipotezler gelistirilmistir. Arastirma modeli ve hipotezler, Turkiye’de faaliyet gosteren ve ticaret gemileriyle yuk tasimaciligi yapan, deniz ulastirma isletmelerinin 377 yoneticisinden anket yoluyla elde edilen veriler kullanilarak analiz edilmistir. Arastirma bulgularina gore, deniz ulastirma lojistik hizmet yetenekleri ile finansal ve musteri hizmetleri performansi arasinda anlamli iliskiler oldugu tespit edilmistir. Ayrica deniz ulastirma lojistik hizmet yeteneklerinden bilgi entegrasyon yeteneginin finansal ve musteri hizmetleri performansi uzerinde en fazla etkiye sahip yetenek oldugu, bunun yani sira deniz ulastirma lojistik hizmet yeteneklerinden hiz ve guvenilirlik yeteneginin, finansal ve musteri hizmetleri performansi uzerinde bir etkisinin olmadigi ortaya cikmistir.