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The purpose of this paper is to investigate effects of two integrative mechanisms of third-party logistics (3PL) integration (i.e. information sharing and process coordination) between users and providers on relationship satisfaction, and further explores how partnership-surrounding (e.g. legal unprotectability) and partnership-specific barriers (e.g. measurement difficulty and cooperation difficulty) influence 3PL integration in the context of Chinese 3PL practices.

Using data collected from 247 3PL users in China, this study uses the structural equation modeling method to empirically examine the relationship among partnership-surrounding/specific barriers, 3PL integration and relationship satisfaction.

The results show that information sharing has no significant effect on relationship satisfaction, while process coordination has a positive effect on relationship satisfaction and partially mediates the relationship between information sharing and relationship satisfaction. Furthermore, as partnership-specific barrier, measurement difficulty and cooperation difficulty are negatively related to information sharing and process coordination. Surprisingly, as partnership-surrounding barrier, legal unprotectability is not significantly related to information sharing but is positively related to process coordination.

As a comprehensive study on 3PL user-provider relationship in China, this study extends existing 3PL literature by providing evidence about the importance of 3PL integration and different types of barriers to 3PL integration, also providing managerial implications for 3PL users, providers, law and regulation makers about how to better implement 3PL integration in China.

The purpose of this paper is to investigate relationships among dependence, trust, and integration in the Chinese 3PL context. 3PL integration is manifested in two key dimensions: information sharing and process coordination.

This study develops a dependence-trust-3PL integration-performance model and tests it using structural equation modeling with survey data collected from 361 companies in the Greater China area (i.e. mainland China, Hong Kong, and Taiwan).

The results show that switch dependence is indirectly related to information sharing and process coordination through goodwill trust, while goal dependence has direct links with both integrative behaviors. The authors also found that only goodwill trust mediates the relationship between dependence and integrative behaviors, while ability trust does not mediate any relationships. Finally, the analysis validated the direct link between process coordination and financial performance, but did not find a significant link between information sharing and financial performance.

Different from most previous studies on similar topics, this study examines the impacts of different types of dependence and trust on different 3PL integration dimensions. As a result, the findings are more specific and have direct relevance to effective 3PL relationship management in China.

Supply chain resilience (SCR) is essential to the success of firms. However, very few studies have focused on the relationships between different types of integration, SCR and service performance from the perspective of third-party logistics providers (3PLs). The purpose of this paper is to develop and assesses a conceptual model for these relationships.

A total of 161 3PLs in Taiwan were surveyed and their responses were analyzed using partial least squares structural equation modeling (PLS-SEM/PLS).

The responses of respondents demonstrated that, of the three types of integration (internal integration, customer integration and logistics collaborator integration) used by 3PLs, internal integration had the greatest effect on SCR. Customer integration was found to have three fully mediating effects on the relationships between internal integration and service performance, between logistics collaborator integration and SCR, and between logistics collaborator integration and service performance.

This study provides useful information on how different types of integration manifest in the SCR and service performance of 3PLs.

The purpose of this paper is to develop a theoretical framework involving dependence, relationship commitment, logistics outsourcing and service quality to exhibit the roles of the relational factors involved in logistics outsourcing and their outcomes.

Based on data collected from 361 companies in Greater China, the authors use the structural equation model approach to examine the hypothesized relationships.

Both normative and instrumental relationship commitment are necessary for third party logistics (3PL) users to cope with their goal dependence on 3PL providers. However, only normative relationship commitment is necessary when users perceive switch dependence. Normative relationship commitment also plays a more important role than instrumental relationship commitment in facilitating the adoption of 3PL logistic outsourcing. In addition, both basic and advanced outsourcing practices have a positive effect on service quality.

This study contributes to both 3PL theories and practices by clarifying how relationships between 3PL users and providers in China are managed.

The purpose of this paper is to advance knowledge of the transformative potential of big data on city-based transport models. The central question guiding this paper is: how could big data transform smart city transport operations? In answering this question the authors present initial results from a Markov study. However the authors also suggest caution in the transformation potential of big data and highlight the risks of city and organizational adoption. A theoretical framework is presented together with an associated scenario which guides the development of a Markov model.

A model with several scenarios is developed to explore a theoretical framework focussed on matching the transport demands (of people and freight mobility) with city transport service provision using big data. This model was designed to illustrate how sharing transport load (and capacity) in a smart city can improve efficiencies in meeting demand for city services.

This modelling study is an initial preliminary stage of the investigation in how big data could be used to redefine and enable new operational models. The study provides new understanding about load sharing and optimization in a smart city context. Basically the authors demonstrate how big data could be used to improve transport efficiency and lower externalities in a smart city. Further how improvement could take place by having a car free city environment, autonomous vehicles and shared resource capacity among providers.

The research relied on a Markov model and the numerical solution of its steady state probabilities vector to illustrate the transformation of transport operations management (OM) in the future city context. More in depth analysis and more discrete modelling are clearly needed to assist in the implementation of big data initiatives and facilitate new innovations in OM. The work complements and extends that of Setia and Patel (2013), who theoretically link together information system design to operation absorptive capacity capabilities.

The study implies that transport operations would actually need to be re-organized so as to deal with lowering CO₂ footprint. The logistic aspects could be seen as a move from individual firms optimizing their own transportation supply to a shared collaborative load and resourced system. Such ideas are radical changes driven by, or leading to more decentralized rather than having centralized transport solutions (Caplice, 2013).

The growth of cities and urban areas in the twenty-first century has put more pressure on resources and conditions of urban life. This paper is an initial first step in building theory, knowledge and critical understanding of the social implications being posed by the growth in cities and the role that big data and smart cities could play in developing a resilient and sustainable transport city system.

Despite the importance of OM to big data implementation, for both practitioners and researchers, we have yet to see a systematic analysis of its implementation and its absorptive capacity contribution to building capabilities, at either city system or organizational levels. As such the Markov model makes a preliminary contribution to the literature integrating big data capabilities with OM capabilities and the resulting improvements in system absorptive capacity.

Supply chains are becoming more complex and uncertain, yet existing theories are predominately based on empirical research of dyads overlooking triadic settings. This study aims to bridge the gap between supply chain theories and praxis, this study examined multi-sourcing triads in terms of coordination, collaboration and integration.

Transaction cost economics, resource-based view in conjunction with social capital theory and agency theory were used to develop a research framework. Abductive, comparative research examined four triads. The triads comprised four retailers (EU, USA, Japan and one with a global presence), one third-party logistics provider (3PL) and 103 suppliers in textiles and the clothing industry.

All multi-sourcing triads achieved efficient coordination via network configuration showing varying degrees of collaboration and integration. Three research propositions were developed as follows: transaction complexity and dynamics necessitate triad coordination and control by the 3PL; relational and structural embeddedness emerge when actors invest in triad-specific resources and capabilities; information, relational and structural asymmetries may trigger bridge transfer and affect triad integration and performance.

Empirical research on multi-sourcing triads complements existing research on logistics and service, transitive triads to uncover how triad coordination, embeddedness and power asymmetries affect supply chain performance. Future studies should examine the interrelationships between triad embeddedness, asymmetries and relational capital.

Compared to logistics or service triads, B3B triads excel in relational and structural embeddedness and offer unique production-distribution solutions that create value to end-consumers and triad actors.

B3B triads are a unique conceptualization in supply chain management that extends the concepts of logistics triads and service triads.

This paper draws on the perspective of social networks to examine when 3PLs initiate low-carbon supply chain integration (LCSCI) in decarbonising supply chains.

A questionnaire survey was conducted on a sample of 348 Chinese 3PLs. Stepwise regression was adopted to analyse the data.

It is found that LCSCI has a positive effect on firm performance. From the social network perspective, a larger scope of outsourcing increases 3PLs' embeddedness, which increases their chance of success in initiating LCSCI, especially for 3PLs with higher decarbonisation capabilities. Interestingly, although the pressure from government regulation can also motivate LCSCI, it is less effective for 3PLs with higher decarbonisation capabilities because they can be too embedded in the network to freely adapt to regulations.

This study has investigated 3PL-initiated LCSCI only from the view of 3PLs. A dyadic approach which includes the perception of customers would be desirable.

The results highlight the critical role of 3PLs as supply chain orchestrators in decarbonising supply chains, and the effectiveness of LCSCI as a competitive strategy of 3PLs. Coercive pressures from government regulations are not constraints but resources for 3PLs in initiating LCSCI, especially in markets where the 3PLs have insufficient decarbonisation capabilities.

This study contributes to theories on 3PLs' interorganizational low-carbon initiatives, LCSCI, and the paradox of social networks in supply chains.

The purpose of this paper is to provide a systematic literature review and contributes to academic understanding and practitioner needs of third party logistics (3PL) which were developed over the past decade.

Through a structured selection search of the entire English-language academic literature, after final refinement, the authors identified 95 relevant studies in this context. A succinct classification of literature has been performed to collate the entire literature encompassing viewpoints of both academicians and practitioners.

The key finding of this review suggests the opportunities exist in the understanding of the “optimization capabilities” of a 3PL provider. The authors found that when on the one side, constructs such as “supply chain vision”, “creativity”, “impact of geographical reach of services on the selection criteria” need more attention; on the other hand, operational dimensions of 3PL such as packaging ability, repair service, procedural compliance, conflict resolution, role of HR policies and mitigation of external risks provides a chance for future researchers to delve deeper into these domains. Furthermore, the authors also presented a comprehensive research gap framework highlighting potential research topics to be explored in near future.

The paper captures peer-reviewed literature from the past decade and has been selected from the Web of Science database only.

The paper identifies different research gaps, namely, conceptual, contextual and methodological, to understand and develop opportunities for future research in the domain of 3PL. The paper makes a careful attempt by linking the synthesis of this literature review to previous literature reviews to establish the knowledge continuum of third party logistics.

The resources and mechanisms required to complete a value proposition are generally considered as crucial aspects in designing a company business model. However, research in the third party logistics (3PL) arena concerned with studying how 3PL providers define their value creation architecture to meet different shippers’ requirements has so far been inadequate. The purpose of this paper is to fill the gap, providing a detailed investigation on how the 3PL providers’ capabilities and logistics expertise can add value to their shippers’ processes.

A qualitative exploratory research was conducted involving, first, a systematic combining process to understand the main factors and operational strategies whereby 3PL providers can create value and build a comprehensive framework of their value creation architecture. Second, a qualitative survey was conducted on 44 leading 3PL providers operating in Italy to understand how these providers can organise themselves to create value for shippers.

The 3PL providers’ value creation architecture is presented within a clear and comprehensive framework, together with 30 potential operational strategies that can be used by 3PL providers and the related factors that enable value to be created for shippers. Three main value creation models (volume-oriented 3PL providers, process-oriented 3PL providers and innovation-oriented 3PL providers) are identified. The importance of the different factors enabling value creation is highlighted for each model, identifying the distinctive operational strategies and those adopted most frequently.

From a managerial perspective, 3PL providers will find these results useful for developing suitable strategies to compete on the market. From their side, shippers can understand and evaluate how 3PL providers are able to offer value to their logistics processes, allowing them to select the logistics partner who best fits their needs.

The present paper fulfils the identified need of examining the 3PL providers’ business model in detail. A set of distinct value creation models is identified and thoroughly investigated to reveal the different competitive advantages available to shippers.