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This paper aims to adopt the strategy-structure-performance (SSP) framework to explore how proactive social strategy could motivate firms to collaborate with suppliers on social sustainability initiatives, and how such collaborative efforts could unlock a win-win opportunity for both noneconomic (social performance) and economic (operational performance) performance. Additionally, drawing on the tenets of the social exchange theory, the different moderating effects of distributive justice and procedural justice on the social collaboration-performance relationship are also examined.

This study uses survey data collected from 215 manufacturing companies in China. The proposed hypotheses are tested using multiple linear regression models as well as the PROCESS macro within SPSS.

The results suggest that (1) a proactive social strategy could motivate firms to collaborate with suppliers on joint social activities and (2) social collaboration with suppliers can have a significant positive effect on both social and operational performance. The moderation results suggest that distributive justice has a differential effect on the collaboration-performance link. Particularly, distributive justice strengthens the relationship between social collaboration and operational performance, while it weakens the relationship between social collaboration and social performance. Surprisingly, procedural justice did not have a significant moderating effect on the social collaboration-performance link.

This paper extends the SSP framework to the social sustainability context by not only stressing the importance of proactivity in managing sustainability, but also revealing collaboration as a structural aspect that could achieve superior performance benefits. This study also contributes to sustainable supply chain literature by exploring the moderating roles of justice elements.

How does university-firm collaboration affect the performance of both universities and firms? The purpose of this paper is to evaluate university-firm collaborations aimed at expanding the treatment effects of collaboration ambition on university academic performance as well as collaboration ambition focused on the firm’s production of innovation and financial performance for the top 110 US universities and the top 200 US R&D performing firms.

“Two studies, based on the three archival data sets (National Bureau of Economic Research-Rensselaer Scientific Papers Database and the Harvard Dataverse Network (DVN) US Patent Citations database and Compustat database), are undertaken in the top 110 US universities and the top 200 US R&D performing firms.” The study introduces a theoretical model that explicitly addresses collaboration diversity, number of collaborations, knowledge stock and the endogeneity problem that is generated by self-selection of collaboration ambition in university and firm’s performance.

The results suggest that the effects of adopting proactive collaboration decision on academic performance are insignificant in the firm subsample. However, more interestingly, the authors find supporting evidence of the negative impact of collaboration on university groups. The authors also find that collaboration diversity, knowledge stock and collaboration ambition lead to stronger firm performance but the number of collaborations is smaller on firm performance. Furthermore, the authors find that collaboration ambition moderates the positive effect of the number of collaborations on firm performance.

University-firm collaboration is a multifaceted relationship, suggesting that the empirical analysis can be interpreted through the university and the firm view to enhance the understanding of the collaboration for performance creation. This study articulates the positive role of collaboration diversity, knowledge stock and collaboration ambition and the negative role of the number of collaborations on university-firm collaboration in terms of university and firm performance. Moreover, proactive collaboration ambition has the positive effect of a higher number of collaborations on firm performance. The authors conclude that policy should refrain from overly focusing on collaboration diversity, number of collaborations, knowledge stock and collaboration ambition, and the authors consider the interactions between the number of collaborations and collaboration ambition on university-firm collaboration when discussing their effects on mutual performance.

This study demonstrates the effects of university-firm collaboration on academic performance. In addition, the authors discuss the factors that influence collaboration to help the firm to increase its innovation and financial performance. Therefore, it would be interesting to see simultaneously how university-firm collaboration affects the performance of both partners.

The purpose of this paper is to analyze the effect of collaboration, capability and information sharing (IS) on logistic performance, the effect of collaboration and IS on capabilities, the effect of collaboration on logistic performance through capabilities, the influence of IS on logistic performance through capabilities and the effect of logistics capabilities on logistics performance.

This study uses a quantitative approach and is included in explanatory research. This research uses cross section research design. The research populations are all companies incorporated in GAFEKSI (Joint Forwarder and Expedition Indonesia) of East Java. Sampling in this research is by using a purposive sample. The sample of this study amounted to 47 forwarder and expedition companies. Data analysis method used is partial least square.

Collaboration has a positive impact on capabilities (CAP); capability (LOC) positive impact on logistic performance; collaboration does not directly affect the logistics performance; and construct capabilities (LOC) is the mediation of IS in building business logistics performance. Increasing the intensity of IS has no direct contribution to increased flexibility, and collaboration is driven by partnership and network, whereas CT (trust) can be ignored, as it is not proven to make a dominant contribution to collaboration.

The novelty of this research is found in the strategic role of capabilities as the dominant latent variable in building business performance of logistic companies. This study finds dual mediation, where both mediations are expressed as full mediation, because the direct effect of mediator latent variables is significant (Little et al., 2010; Hair et al., 1995).

The purpose of this paper is to identify and assess the interrelationships between various characteristics of information sharing and trust and their criticality for effective information-centred supply chain collaboration initiatives and, in turn, its criticality to overall firm’s performance.

A survey of 189 executives from different firms was conducted and the resulting data were analysed to investigate how collaboration enablers affect effective collaboration and to determine its impacts on organisational performance. Structural equation modelling through partial least squares is used to study the relationships between four enablers (trust, information readiness, information accuracy and information security), perceived collaboration success, and two outcomes (sales growth and overall operational performance).

The empirical results indicate that three collaboration enablers including trust, information readiness and secure sharing of information improve supply chain collaboration. The present study finds that “secure sharing of information” was the most important factor in fostering information sharing-centred collaboration. The present study also demonstrates that effective collaboration positively and significantly influences on firm’s performance.

This study provides researchers and practitioners with a more comprehensive understanding about the information sharing-centred collaboration, its enablers and effects on firms’ performance in a supply chain context. Future research should focus on developing additional constructs that may capture other drivers of effective collaboration.

The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focussing on the enablers of collaboration through information sharing and its impact on firms’ performance.

The purpose of this study is to examine the impact of the implementation of supply chain strategic collaboration (SCSC) on companies’ operating performance.

Based on 181 SCSC announcements of listed companies in China, this study analyzes changes in the operating performance of the sample companies in the 20 quarters after the announcement. The changes in different operating performance metrics for the sample firms are compared against their metrics before the announcement. This study uses a self-control model based on historical performance and uses a combination of adjustment percentage changes and adjustment level changes to measure performance changes.

SCSC helps to improve firm operating performance, although this effect is only evident after two years. Companies that collaborate on product development have better performance improvements than do companies that implement market collaboration. The operating performance of buyer companies is better than that of supplier companies. Finally, strategic collaboration in the service supply chain improves performance more than that in the manufacturing supply chain.

The finding that company performance varies in different situations can help managers better understand and manage SCSC.

This study newly uses secondary data to assess changes in companies’ operating performance brought about by the implementation of SCSC.

The purpose of this paper is to empirically test the joint impact of trust, technology diffusion and organisational capacity on collaboration and investigate the effect of the interaction among them on business performance.

A conceptual model is formulated to achieve the study’s purpose. The research employs quantitative methodology to test the validity of the model. Pilot interviews were used to select applicable attribute for each of the model’s constructs and to revise the survey questionnaire. The survey is addressed to CEOs and senior managers of 500 electrical product manufacturers in Wenzhou province, China. The questionnaire covers 20 attributes of the model’s constructs, which are measured on a seven-point scale. A structured equation modelling software known as AMOS is used to analyse data.

Results indicate that trust is an antecedent factor for successful collaboration, but not as a factor directly affecting business performance. However, the research shows that collaboration plays a full mediator between trust and business performance. The empirical evidence from this research implied that technology diffusion do not translate properly into collaboration and the organisations do not give adequate attention to the process performance in making collaboration with partners. In addition, the electrical Chinese organisations do not consider that the commitments of their partners exceed the expectations.

This research limits investigation in China only and considers one type of industry, that is, the manufacturers of small products.

The conceptual model can be used as an audit tool for evaluating the effect of collaboration on business performance. Thus, managers could recognise weak attributes and plan for improvement.

This study provides new measurement instrument for evaluating the joint impact of collaboration, technology diffusion, trust and organisational capacity on business performance.

Digital transformation shapes industries and influences the forms of collaboration between companies. This study aims to investigate digital business strategy as a key to facilitating collaboration beyond organizational boundaries.

The study focuses on the connection between digital business strategy and collaboration performance. The authors identify five types of digital business strategy elements based on the literature: development, objectives, resources, management capabilities, and digital leadership. The authors then studied the implications of these elements for collaboration performance using a survey. The study’s empirical data were collected from manufacturing and service companies, and 202 valid responses were received. The implications of the research elements were tested through regression analysis, which included the moderating effects of digitally enabled performance measurement.

The theoretical research framework identifies digital business strategy as a key determinant of collaboration performance, thus advancing the understanding of how companies can utilize digital business strategies and achieve enhanced collaboration performance. The results also show that the effect of digital business strategy on collaboration performance may be moderated by digitally enabled performance management.

The results suggest that management capabilities associated with digital strategy are a crucial element in positively influencing collaboration performance. Further, digital strategy-related resources can be better managed with digitally enabled performance measurement system, which is reflected in improved collaborative performance. Thus, companies should invest in management capabilities and connect their digital business strategies and performance measurement systems to develop collaboration in digital transformation.

The study is among the first to translate an empirical understanding of the digital transformation of small and medium-sized companies into a conceptual framework of a digital business strategy.

While strategic alliances is a concept increasingly discussed in the field of sustainable supply chain management (SSCM), an emerging and more crucial concept regarding alliances—namely, the alliance portfolio—is mostly ignored in the SSCM context. Mainly drawing on the categorisation–elaboration model (CEM), this research develops a three-layer model to explore the effects of three alliance portfolio diversity facets on the three triple-bottom-line SSCM performances through the mediation of sustainability collaboration.

The field data are collected from 321 Vietnamese manufacturers. Scale accuracy is assessed through the confirmatory factor analysis method. Hierarchical linear regressions are applied to test the proposed model and hypotheses.

Partner, governance, and functional alliance portfolio diversities have a U-shaped, inverted U-shaped, and positive linear effect, respectively, on sustainability collaboration. Sustainability collaboration is in turn found to enhance the SSCM performances in terms of economic, environmental, and social.

This research introduced a new theoretical lens, CEM, to the SSCM field. It also provided findings that can help firms to manage their alliance portfolios more dynamically in terms of the nature and diversity level of the portfolio and in a way that adds to the triple bottom line through the mediating effect of sustainability collaboration.

Supply chain collaboration enables firms to achieve better performance. It requires close arrangements of collaborative practices among the participating members. Searching for better practices and ideas that lead to superior performance means that the chain members also need to benchmark their current collaborative practices to other collaborative supply chains. Benchmarking enables them to identify the highest standards of excellence in customer services and processes and implement necessary improvements to match or exceed these standards. This paper, reports a benchmarking study on supply chain collaboration between retailers and suppliers, which incorporates collaborative practices in information sharing, decision synchronisation, and incentive alignment. An empirical study was carried out to benchmark the profile of collaborative practices and operational performance. The study also compared differences in the use of collaborative practices from retailer and supplier perspectives.

The purpose of this paper is to examine the influence of asymmetric environments on collaboration, integration, and performance during supply chain management processes.

The study conducted in the industrial sector of two markets – Spain and Poland – considering disparate behaviors among organizations and their managers. Using data collected from 133 firms and advanced partial least squares regression modeling, a number of direct and moderating effects are hypothesized and tested.

The authors found that existing asymmetry may prevent achievement of optimum equilibrium. Seven of the ten research hypotheses were validated, providing strong support for the significant role that asymmetry can play in managing supply chains (SCs). This result suggests that managers need to consider whether maximum collaboration or integration with SC partners is possible under the strong influence of asymmetry. The findings provide rational insights to SC managers regarding adequate measures to reduce imbalanced relationships and establish equilibrium between partners under varying contexts of collaboration and integration.

This study was conducted in only two countries, so generalizations are limited. Furthermore, there are improvements to be made in sample design to allow for further validation and enhancement of the model and method.

Findings provide rational insights to managers regarding when it is adequate to reduce imbalanced relationships with partners under varying contexts of collaboration and integration.

Collaboration and integration have been well studied in many fields but this research suggests that managers in asymmetric environments must understand that development of strategies based on integration might be impossible to realize.