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This paper aims to explore value co-creation between manufacturing firms and third-party logistics providers (3PLs). The specific focus is on resources and value co-creation with the aim to examine a set of relationships among the 3PL’s resource commitment, collaboration and innovation, and their performance outcomes.

Survey data consisting of 142 UK manufacturing firms are used to study the 3PL and manufacturing customer value co-creation. The confirmatory factor model (CFA) and subsequent structural equation model were tested using EQS 6.1.

The findings show that collaboration between the manufacturers and the 3PLs mediates the relationship between resource commitment and innovation, and performance. 3PLs are becoming much more of a collaborative partner which support the idea of value co-creation strategy.

The study is cross-sectional; temporal evolution of value co-creation should be studied in the future.

When manufacturers and 3PLs collaborate to target efforts strategically, the 3PL’s resource commitment can be directed towards the development of new innovative approaches.

The study contributes to the discussion of forms of co-creation, and theoretical frameworks which would enable us to understand how customers and other actors engage with the companies in collaborative value creation activities.

This paper uses the relational capabilities perspective to provide new insights into the mediating role of relational capabilities and their performance implications. Specially, this paper aims to explain how characteristics of a partnership influence relational capabilities that in turn enhance firm performance.

Using data from an original survey of 156 partnership projects between buyers and suppliers in the Thai manufacturing sector, the authors use a structural model to test their hypotheses.

The empirical analysis shows that the impact of relational and economic attributes of a partnership on firm performance is mediated by knowledge sharing routines and complementary capability. However, the impact varies between operational and strategic performance, as relational capabilities are strongly associated with operational performance but only indirectly associated with strategic performance.

The need to coordinate and mobilize complementary resources not only increases the interdependence between buyers and suppliers but also contributes to firm performance. Specifically, operations can be enhanced by knowledge sharing routines and complementary capability. At a strategic level, operational effectiveness enables firms to benefit from inter-organizational relationships.

The authors contribute to industrial marketing knowledge by shedding light on mediation of relational capabilities between inter-organizational attributes and firm performance. The findings demonstrate the value of the relationship between a firm’s supply chain and its relational capabilities which in turn drive project performance.

Collaboration has been referred to as the driving force behind effective supply chain management and may be the ultimate core capability. However, there is a fairly widespread belief that few firms have truly capitalized on its potential. A study was undertaken to assess the current level of supply chain collaboration and identify best practice.

Supply chain executives provided insights into collaboration. Survey data, personal interviews, and a review of the collaboration literature were used to develop a conceptual model profiling behavior, culture, and relational interactions associated with successful collaboration.

Positive collaboration‐related outcomes include enhancements to efficiency, effectiveness, and market positions for the respondents' firms.

The small sample size represents a limitation, but is balanced by the quality of the respondent base and their expertise/experience. Another limitation involves securing input from only one party to the collaborative relationships. Developing a longitudinal study would help determine how collaboration‐related factors and relationships change over time.

Several respondents mentioned a “blurring of lines” between organizations contrasted to an “us vs them” approach. This was expressed in a number of different ways – treating the arrangements as if they both were part of the same operation, treating them as co‐owned, and employing a new focus on the best common solution. Many of the respondents indicating rewards are not distributed evenly still admitted they get enough “out of” the collaborative arrangements to make it worthwhile.

Real‐world practical experiences are recounted involving many of today's top companies.

Exporting manufacturers that pursue international expansion via foreign distributors face a trade off. Their decision to utilize international distributors as a market entry mode reduces some risks; however, the manufacturers do not enjoy control of the foreign channel. Given heterogeneity in global environments and often a significant geopolitical separation between manufacturers and international distributors, the ability to control the behavior of channel partners is inherently reduced. Consequently, natural conditions for opportunistic behavior are created (Karunaratna & Johnson, 1997; Klein & Roth, 1990).

This paper reports simulation research that empirically investigates and compares supply chain performance under varying conditions of information exchange and demand uncertainty. Specifically, the research objective is to quantitatively document the characteristics and performance impact of information exchange among supply chain entities. The findings suggest that the response‐based supply chain model consistently outperforms the anticipatory model in terms of customer service delivered under conditions of both low and high demand variation. Comparisons of inventory holdings across supply chain models demonstrate that the retailers' inventory burden is significantly lower in the response‐based scenario. The inventory savings enjoyed by retailers in the response‐based model are substantial enough to lower system‐wide inventories. In sum, the study supports the feasibility of achieving both improved service and lower inventories as a result of information sharing.