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As companies seek to continually innovate to remain globally competitive, they also need to be mindful of the impact of the potential associated supply chain risks. Hence, the purpose of this study is to explore the causal nexus of relationships linking supply chain risk management (SCRM) and strategic technology partnering (STP) capabilities (i.e. organizational capabilities, technological and innovative capabilities, learning and exploitation capabilities, complementary capabilities and network and partnership capabilities) as identified by Kilubi (2016).

The authors investigate STP capabilities that may positively influence SCRM and in turn foster organizational performance. By using conceptual theory building, the authors create a conceptual framework and use it to guide future investigation through research propositions. Social capital theory serves as the theoretical background.

Five STP capabilities have been identified as positive mediators for the relationship between SCRM and organizational performance, in particular flexibility and responsiveness.

This paper focuses on bridging the gap and identifying commonalities between two principal research disciplines, STP and SCRM, examining how these can be used to assist in the controlling and management of future risks. This study contributes to the ongoing development of SCRM and STP by integrating insights from social capital theory, supply chain management and strategic management.

Strategic technology partnering (STP) is considered to be significant for the access to novel technologies that are unknown to organisations. However, the performance heterogeneities within organisations can be explained by STP capabilities. Hence, the purpose of this paper is threefold: first, to provide a classificatory framework by categorising the various STP capabilities; second, to draw conclusions from the analysis of the empirical findings; and third, to guide further publications and identify future research needs.

The present paper adopts a systematic literature review (SLR) methodology. In this research, the extant empirical research on STP capabilities will first be classified and integrated within a classificatory framework. Lastly, the review insights will provide methodological suggestions along with theoretical themes for future research that have not been yet explored.

The study findings show that there is a strong need for a clear and unified terminology for the distinctive capabilities of STP and research has mainly highlighted certain common capabilities while other essential ones lack analysis. The SLR further reveals that most research has been quantitative in nature relying on secondary database research.

This SLR provides a thorough overview of prior research on STP capabilities investigating 65 articles published in highly ranked peer-reviewed journals, spanning a 22-year period from 1992 to 2014. In sum, his review structures extant STP capabilities literature into a proposed classificatory framework referred to as “CLONT-framework” and highlights its critical importance in strategic management and innovation research from a theoretical, empirical, and practical point of view.

The purpose of this paper is to analyse the intellectual structure and research fronts of discipline of supply chain risk management (SCRM), in order to identify the knowledge groups in the research area to date, as well as to reveal any relationships between these subfields and the central influential trends.

By means of a bibliometric study, the 32 most co-cited articles on SCRM published in 16 top business-related academic journals are analysed using multivariate statistical techniques, i.e. multi-dimensional scaling, cluster analysis and correspondence factor analysis.

The results demonstrate a clearly identifiable structure as a result of the performed co-citation analysis. The conducted cluster analysis and factor bring forward that the research field is arranged in five different areas of interest: explaining supply chain (SC) risk phenomena, concepts, frameworks and insights of SCRM; modelling risks for SCs; inventory risks affecting supply efficiency; SC and product design methods; and SC risk mitigating strategies.

Overall, the intellectual structure of SCRM is first examined through a bibliometric approach using quantitative techniques – for improved understanding of its origins, and to identify the state of the science – and to offer suggestions for future studies that could cover current gaps. This study represents the potential to advance the SCRM literature landscape.