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The study investigates the effect of technological capabilities, organizational capabilities and environmental capabilities on Logistics 4.0 capabilities and also examines the effect of Logistics 4.0 capabilities on firm performance.

The proposed theoretical framework is tested using WarpPLS 6.0 software. We selected samples from the Automotive Component and Allied Manufacturers in South Africa. Initially, we sent the structured questionnaire online using Google forms to 800 potential respondents. After doing follow ups, we received 230 completed survey responses. Further, data preparation is done using established scientific approach and we checked suitability of its use in structural equation modelling. After ensuring all necessary checks are completed, the results are found satisfactory to further proceed with testing of research hypotheses.

It is observed that technological capabilities, organizational capabilities and environmental capabilities show significant effect on Logistics 4.0 capabilities. However, the outcome of technological capabilities and environmental capabilities on Logistics 4.0 capabilities (ß = 0.27) is found stronger than organizational capabilities. Logistics 4.0 capabilities shows significant effect on firm performance.

It is important that the sustainability goals are aligned with Logistics 4.0 strategies. Managers need to increase focus towards development of Logistics 4.0 dynamic capabilities that enhance agility and responsiveness in the supply chain. Managers should check the financial performance and market conditions continuously to further review logistics performance as this can influence the overall firm performance.

This study advances the literature on Logistics 4.0 applications in operations management by investigating the key links such as Logistics 4.0 capability development and firm performance.

Logistics capability is an important ability for transport and logistics firms to deliver the value and services to the customers. In contrast, supply chain uncertainty and risk is an issue in supply chain and logistics to obstruct the delivery. The purpose of this paper is to evaluate and understand the logistics capability, and to provide empirical evidence for logistics capability mitigating supply chain uncertainty and risk in the Australian courier firms.

This study examines the relationship between logistics capability and supply chain uncertainty and risk. Partial least squares approach for structural equation modelling is applied for data analysis involving the interplay of theoretical thinking and empirical data. Empirical data are collected through a web-based survey. Total 98 Australian courier firms are identified and invited in the study.

Based on the factor analysis, the authors identify the key factors of logistics capability for the Australian courier firms. This would help both academics and practitioners to have a better understanding of logistics capability in the transport ad logistics firms. In addition, results indicate that there is a negative relationship between logistics capability and supply chain uncertainty and risk in the Australian courier firms.

The result in support of logistics capability mitigating supply chain uncertainty and risk. It also makes a contribution to logistics risk management literature. The paper focuses on the Australian courier industry. Therefore, any generalisation to other countries or sectors must be made with caution.

This paper provides an insight into supply chain uncertainties and risks management. This would result in the development of a practical guidance for practitioners developing and deploying logistics capability to support and enable supply chain risk management strategies.

The purpose of this paper is twofold. First, it intends to explore the link between internal social capital, logistics capabilities, supply chain risk management (SCRM) capabilities and supplier performance. Second, the mediating effect of logistics capabilities between internal social capital and SCRM capabilities, and that of SCRM capabilities between logistics capabilities and supplier performance are also examined.

A theoretical model developed from the extant literature was empirically validated through a cross-sectional survey of 122 respondents in 52 public healthcare facilities in Uganda. The data were analysed using partial least square structural equation modeling (PLS-SEM).

The study found that internal social capital and SCRM capabilities are significant predictors of supplier performance. Internal social capital is positively and significantly related to logistics capabilities, and logistics capabilities are positively and significantly related to SCRM capabilities. The authors also found non-significant relationships between internal social capital and SCRM capabilities, and between logistics capabilities and supplier performance. Furthermore, it was revealed that logistics capabilities play a partial mediating role in the relationship between internal social capital and SCRM capabilities, while SCRM capabilities fully mediate between logistics capabilities and supplier performance.

Further to providing empirical evidence of the antecedents of supplier performance in the public healthcare in a developing economy, which has been evidently scant, this study provides initial empirical evidence of the mediating role of logistics capabilities in the relationship between internal social capital and SCRM capabilities and that of SCRM capabilities in the relationship between logistics capabilities and supplier performance. This is important for understanding the mechanism through which supplier performance can be enhanced.

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.

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.

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.

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.

IDCOs can enhance customer service and financial performance by developing logistics learning capability and specifically focussing efforts on supply chain partner learning.

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.

The purpose of this paper is to investigate how different logistics resources and resource patterns, such as logistics infrastructure, logistics location, logistics knowledge and logistics information, affect logistics capabilities and operational performance.

Based on data collected from 273 companies in China, this study examines impacts of individual logistics resource dimensions on resource integration capability, customer service capability and operational performance through contingency approach. Furthermore, three logistics resource patterns are identified and linked with resource integration capability and operational performance through configuration approach.

Contingency results show that different logistics resources have different impacts on resource integration capability and operational performance. Configuration results reveal that companies’ capabilities and operational performance vary for different logistics resource patterns: the high-uniform pattern has a better resource integration capability and operational performance than other patterns, while all logistics resource patterns have similar customer service capability levels.

Future studies should examine other resource capabilities and performance indicators of companies and extend this study to other countries and regions.

This study contributes to the logistics resource literature through empirically investigating relationships among logistics resources, resource integration capability and operational performance using contingency approach, and through identifying different logistics resource patterns based on configuration approach. The findings extend the logistics resource literature, particularly on research of logistics parks in China.

The 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.

Factor 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.

The findings show that interfirm relationships and logistics service capabilities act as mediator variables between intrafirm resources and LP.

The 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.

Container 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.

This 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.

In today's competitive scenario, effective supply chain management is increasingly dependent on third‐party logistics (3PL) companies' capabilities and performance. The dissemination of information technology (IT) has contributed to change the supply chain role of 3PL companies and IT is considered an important element influencing the performance of modern logistics companies. Therefore, the purpose of this paper is to explore the relationship between IT and 3PLs' performance, assuming that logistics capabilities play a mediating role in this relationship.

Empirical evidence based on a questionnaire survey conducted on a sample of logistics service companies operating in the Italian market was used to test a conceptual resource‐based view (RBV) framework linking IT adoption, logistics capabilities and firm performance. Factor analysis and ordinary least square (OLS) regression analysis have been used to test hypotheses. The focus of the paper is multidisciplinary in nature; management of information systems, strategy, logistics and supply chain management approaches have been combined in the analysis.

The results indicate strong relationships among data gathering technologies, transactional capabilities and firm performance, in terms of both efficiency and effectiveness. Moreover, a positive correlation between enterprise information technologies and 3PL financial performance has been found.

The paper successfully uses the concept of logistics capabilities as mediating factor between IT adoption and firm performance. Objective measures have been proposed for IT adoption and logistics capabilities. Direct and indirect relationships among variables have been successfully tested.

So far, most of the literature on logistics social responsibility (LSR) has prioritized the examination, classification of and adaption toward positive LSR practices instead of investigating necessary logistics service providers’ capabilities to implement LSR strategies. Therefore, the purpose of this paper is to contribute to theory by an assessment of LSR and its linkages to dynamic capabilities theory to gain insights into how logistics service providers can foster an enhanced application of LSR practices.

The paper is conceptual and grounded on dynamic capabilities theory. Relevant literature from logistics management, supply chain management and sustainable supply chain management (SSCM) as well as dynamic capabilities was examined to build upon existing theory by conceptualizing LSR from a dynamic capabilities perspective. In addition, propositions for future research are presented based on the conceptual model.

With regards to the controversial discussion in the literature about the direct link between dynamic capabilities and competitive advantage as well as the necessary degree of heterogeneity of dynamic capabilities, the conceptualization of LSR from a dynamic capabilities perspective adds new elements to this discussion. Considering long-term or even sustainable competitive advantage, the current degree of homogeneity across logistics services might hinder a sustainable advantage in the long run and demands for more advanced logistical capabilities. In this line, it is important to understand and utilize the causal relationships between different logistical resources and capabilities to achieve a unique long-term advantage allowing logistics service providers to further enhance LSR practices.

Due to the current role of logistics service providers, they should not just foster their resources focusing on the relationship to the focal firm, but they should also develop and implement new logistical capabilities derived from SSCM-related dynamic capabilities to design alternative service portfolio extensions and new business models.

Although dynamic capabilities have been studied intensively in the last two decades, the causal relationships between different logistical resources and necessary dynamic capabilities to achieve advantages by enhancing LSR practices still lack conceptualization. To build on the understanding of LSR, the paper at hand presents a conceptual framework explaining LSR and SSCM practices through the lens of dynamic capabilities theory.

The purpose of this paper is to explore the relationship between supply chain management practices, logistics capabilities, logistics integration and competitive advantage of Small and Medium Enterprises (SMEs) in a developing country.

Using a structured questionnaire survey, cross-sectional data collected from 204 SMEs in Kampala – Uganda were analysed using exploratory and confirmatory factor analysis, and Structural Equation Modelling (SEM) using AMOS version 26 to validate the theorised relationships.

The study findings revealed that both supply chain management practices and logistics integration are positively and significantly associated with competitive advantage. Also, both supply chain management practices and logistics capabilities are positively and significantly associated with logistics integration. Additionally, the authors found that logistics integration partially mediates in the relationships between supply chain management practices and competitive advantage, and logistics capabilities and competitive advantage. Conclusively, the three independent variables collectively account for 11% variance in competitive advantage of SMEs.

Given the general observation that SMEs are fundamental to socio-economic development, yet resource constrained, this study uses Resource-based and dynamic capabilities theoretical perspectives to provide an empirical understanding of the supply chain and logistics resources and capabilities necessary for building competitive advantage of SMEs in the context of a developing economy.

Effective and efficient supply chain management is critical to the success of firms engaging in e‐commerce. The purpose of this paper is to examine the impact of logistics capability and logistics outsourcing on firm performance in an e‐commerce market environment.

This research examines the relationship between firm's logistics capability, logistics outsourcing and its performance. Multiple‐item constructs are used to measure the strength of logistics capability and firm performance. The use of logistics outsourcing is represented by a dichotomous variable. Data obtained via a survey were analyzed to investigate relationships among constructs and various hypotheses were tested.

Study results revealed logistics capability to be positively related to firm performance in the e‐commerce market. However, counter‐intuitively, logistics outsourcing and firm performance were not found to be positively linked. Further, the association between logistics capability and outsourcing was not supported. Finally, the interactive effect of logistics outsourcing on the relationship between logistics capability and firm performance was not sustained.

Research findings are constrained, as the study was limited to the computer and consumer electronics retailing industry. However, the importance of logistics capability was confirmed in the e‐commerce supply chain for this segment. And the benefit of using third‐party logistics (3PL) to enhance firm performance was not fully established.

Logistics capability is critical for superior firm performance in e‐commerce. However, study findings lead to the presumption that firms should avoid logistics outsourcing if performance is predicated on competitive advantage due to internally strong logistics capability and competencies.

This research contributes to the study of logistics capability and 3PL in e‐commerce. The development of a logistics capability measurement construct in e‐commerce originated with this research. Also the impact of logistics outsourcing on firm performance is tested for the first time in an e‐commerce market environment.