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The purpose of this paper is to assess the efficiency, effectiveness and performance of logistics companies in Singapore and Malaysia which are the growing logistics hubs in Asia by using a triangular data envelopment analysis (DEA). It also identifies various factors that significantly affect the efficiency, effectiveness and performance of the Singaporean and Malaysian logistics companies and proposes ways to improve their competitiveness.

First, this study employs a triangular DEA to evaluate the efficiency and effectiveness of the companies. Second, Tobit regression is used to explore the factors that affect logistics performance. Third, the managerial decision-making matrix is addressed and suggestions made to help logistics managers improve performance.

The results reveal that small firms, on average have more potential than the large ones. The results also demonstrate that investment influences firm performance significantly.

This paper is the first attempt to apply a triangular DEA-based approach by decomposing performance into efficiency and effectiveness for logistics companies in Singapore and Malaysia.

Green economy and economic development with high quality have set higher requirements for the development of the urban logistics industry. It can grasp the recent development level of the urban logistics industry by measuring its environmental efficiency to guide its future development direction. The purpose of this study is to improve the environmental efficiency and development level of the urban logistics industry by using a reasonable evaluation method.

This paper uses information entropy to directly aggregate index weights from different models to acquire comprehensive index weights (CIWs) for calculating peer-evaluation efficiency. Then, we weight self and peer-efficiencies to obtain final efficiency. The environmental efficiencies of the urban logistics industry in Anhui Province in 2019 are obtained according to the above method.

Several findings are summarized below. The logistics industry in Anhui is in urgent need of improving environmental efficiency. The environmental efficiency of the logistics industry in North Anhui is the highest one, showing that the logistics industry in North Anhui has achieved a relative balance between economic development and environmental protection. Their final cross-efficiency values based on the CIWs are smaller than those based on the comprehensive efficiency. And the environmental efficiency of almost all urban logistics industries is lower than its economic efficiency. The findings show that the proposed method is feasible and more reasonable. More economic implications and suggestions are proposed.

This paper proposes an extended cross-efficiency evaluation method based on information entropy to measure the environmental efficiency of the urban logistics industry, effectively avoiding the overestimation of efficiency results.

The purpose of this paper is to identify and analyse how different ways of organising transport and logistics activities in construction impact on efficiency. The paper scrutinises three particular transport and logistics configurations: the de-centralised coordinated configuration, the on-site coordinated configuration and the supply network coordinated configuration.

Three configurations are derived from the literature and from case studies. The efficiency of the three configurations is analysed on three levels of analysis: the construction site, the supply chain, and across supply chains and construction sites.

The paper concludes that there are possibilities to enhance efficiency on all three levels of analysis by widening the scope of coordination beyond the individual construction site.

The analysis points to efficiency potentials in applying the supply network coordinated configuration, although this configuration puts high demands on collaboration amongst the actors involved.

The paper provides illustration, and explanation, of the efficiency potentials involved in the three configurations.

This study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprises

A multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.

According to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.

This paper discusses logistics service providers' (LSPs’) energy efficiency initiatives for sustainable development, both from an evolutionary perspective and based on a framework consisting of actions, processes (i.e. at the operations interface) and services (i.e. at the customer interface).

Following a qualitative research design, semi-structured interviews were conducted with sustainability managers at LSPs and the data were analysed via inductive coding. Based on the results and the literature, the authors developed a maturity model for LSPs' transitions to environmental sustainability.

LSPs' sustainable development occurs via operational processes, services at the customer interface, and actions that support those processes and services. Energy efficiency efforts are characterised by process depth that helps LSPs to align with their customers' energy efficiency improvement processes. While services related to energy efficiency connect LSPs and their customers, actions in support vary depending on the logistics activities in which LSPs participate.

Further research is needed to test and verify the maturity model and to clarify the interdependency of its three dimensions.

By categorising energy efficiency initiatives and proposing a maturity model for LSPs' sustainable development via energy efficiency, the authors have developed a tool for logistics actors to assess their progress towards improved sustainability.

The paper contributes to the literature by providing a three-pillar framework to understand the sustainability transitions of LSPs through energy efficiency. Developing a maturity model using this framework also contributes to the literature with an approach to assess sustainability advancement in the logistics industry.

Service modularity promotes efficiency at the provider end of the supply chain and customisation at the customer end. The purpose of this paper is to investigate how logistics service modularity contributes to sustainable development through the means of energy efficiency. This is analysed in the context of logistics services for household waste collection.

A single case study methodology with embedded units is adopted where semi-structured interviews were conducted with a waste service provider (WSP) and buyers (municipalities) in Sweden, focussing on five types of logistics services for waste collection: collection of food and residual waste at apartments and one-family houses, as well as collection of gardening waste. Service modules are identified and analysed by blueprinting the service.

The findings show different service modules – standardised or customised – and their contribution to sustainable development operationalised through energy efficiency. Principles for an energy-centric service design are proposed.

The research is limited to Swedish household waste collection setting. Promising efficiency through standardisation, logistics service modularity has a potential to improve energy efficiency as well. This neglected link between sustainability and service modularity offers fruitful research avenues.

This research is of practical relevance to waste logistics service providers and the municipality by suggesting principles for energy-centric service design. The service blueprint enables using logistics service modularity for improving energy efficiency in different logistics service settings.

This research incorporates an environmentally sustainable development perspective into logistics service modularity and contributes to the literature by exploring how energy efficiency is improved by modular design of logistics services. Furthermore, the study is one of the first to use service blueprinting to analyse logistics service modularity, providing a methodological contribution to that field in general and logistics in particular.

The purpose of this paper is to measure trust that logistics/supply chain management (SCM) managers of supplier firms perceive toward inbound SCM managers of buyer firms, and investigate the effect of trust on supply chain collaboration and logistics efficiency. In doing so, two trust forms are introduced: affective trust and trust in competency. Besides, supply chain collaboration includes the three dimensions: joint decision making, information sharing, and benefit/risk sharing.

A path analysis was used to test whether the two trust forms affect the three dimensions of supply chain collaboration, and then, the three dimensions of supply chain collaboration, in turn, affect the logistics efficiency of supplier firms. An empirical analysis was conducted with Korean firms.

Affective trust has a significant influence on collaboration in information sharing and benefit/risk sharing, whereas trust in competency affects collaboration in joint decision making and benefit/risk sharing. Regarding supply chain collaboration, joint decision making and information sharing are found to affect logistics efficiency. Insignificant relationships are detected between affective trust and joint decision making, between trust in competency and information sharing, and between benefit/risk sharing and logistics efficiency.

By classifying trust into affective trust and trust in competency and by incorporating the three dimensions of collaboration, this paper analyzes the causal effect of suppliers' trust at the inter‐personal level on supply chain collaboration and logistics efficiency, and discusses the results compared to those focusing on buyers' trust.

In today’s multi-channel distribution environment, it is crucial for the competitiveness of retail stores and companies to improve efficiency of dedicated logistics centers (DLCs) servicing types of retail outlets such as large retail-stores, super supermarkets, and convenient stores. This paper derives efficiency improvement strategies for DLCs through efficiency analyses. To this end, this paper empirically analyzes the efficiency of DLCs by applying DEA (data envelopment analysis) approaches using real data from a Korean distribution company. In detail, this paper analyzes operations, finance, and service efficiencies of DLCs and performs a comparison analysis on the efficiency between DLCs. Finally, this paper discusses the analysis results considering the DLCs’ characteristics and derives managerial and operational implications.

Construction logistics is an essential part of construction supply chain management (CSCM). However, limited attention has been paid to this issue in the New Zealand construction industry. The purpose of this paper is to contribute to the knowledge about what hampers efficiency in transporting construction materials and plants to a construction site. The intention is to gain detailed understanding of the practice and obstacles in efficient construction logistics and thus identify interventions to improve logistics efficiency, especially using the numbers of vehicle movements to the construction site as an indicator.

A case study approach was adopted with on-site observations and interviews. Observations were performed during constructions on-site from the start of construction to “hand-over” to the building owner. A selection of construction suppliers and subcontractors involved in the studied project were interviewed.

Data analysis suggested that cost-related factors affecting the construction logistics, both monetary and non-monetary factors were not measured and largely ignored, especially the possible environmental and/or social impact occurred by the truck movement. Factors in the service-related sector were insufficiently managed in the observed site. The main contribution to inefficient construction logistics are related to understanding and implementing CSCM. It is noticed that there is inadequate awareness of CSCM and logistics efficiency largely due to lack of commitment from the management level and skills at the operational level.

Significant intrinsic and extrinsic interventions necessary to enhance construction logistics were acknowledged from the data analysis. These include both qualitative and quantitative data. These intrinsic and extrinsic interventions, such as implementing appropriate logistics tools that suits individual site and introducing traffic management costs, offer plausible explanations regarding how to improve the efficiency in construction logistics through optimising transportation movements to the construction site.

The purpose of this paper is to develop a benchmark of performance standards for Chinese third‐party logistics providers (3PLs) in the emerging market. It also intends to identify various factors that significantly affect the operational efficiency of the Chinese 3PLs and propose ways to improve the competitiveness of 3PLs.

This paper proposes data envelopment analysis (DEA) to measure the operational efficiency of ten leading 3PLs in China, relative to prior periods and their key competitors. In particular, this paper develops both the Charnes, Cooper and Rhodes model and the Banker, Charnes and Cooper model that are designed to derive weights without being fixed in advance. It also uses step‐wise regression analysis to identify factors influencing the performances of Chinese 3PLs.

First, the declining efficiency within some Chinese 3PLs coincides with a steep decline in domestic transportation activities due to the SARS outbreak and the slow adaptation of state‐owned enterprise into a more market‐based economy. Second, the sales opportunity and the level of technical expertise are directly correlated with the operational efficiency of 3PLs, whereas the size of 3PLs has no direct bearing on the 3PL's performance. Third, in contrast with the 3PL industry in the USA, the Chinese 3PLs tend to focus on traditional service offerings such as port management, transportation, and warehousing rather than playing the role as the integrator or the lead service provider.

This paper is the first attempt to utilize DEA to develop performance benchmarks for 3PLs in the emerging foreign market. The proposed DEA can be easily modified or extended to similar settings in other Asian countries such as India and East European countries.