Purpose Acknowledging, on the one hand, the increasing fragility of supply chains and the number of risks involved in supply chain operations and, on the other hand, the role of small- and medium-sized enterprises (SMEs) in supply chains and the high exposure of these firms to risks of different types, this study aims to examine the relationship between supply chain risk management (SCRM) and innovation performance in SMEs. Furthermore, the impact of technological turbulence on this relationship was studied to take into account recent technological changes. Design/methodology/approach Structural equation modelling was carried out on a sample of Turkish SMEs to test the hypotheses developed. Findings The findings presented allow the authors to better understand the link between SCRM and innovation performance in SMEs. More precisely, empirical evidence is provided about the impact of SCRM components such as maturity and ability on innovation performance. Furthermore, the findings show the impact of technological turbulence on both SCRM and innovation performance. Originality/value By focusing on SCRM in SMEs, this paper contributes to the body of knowledge with regard to SCRM in general and with regard to SMEs in particular; research on the latter has only started recently. Moreover, by having studied SMEs from a developing country (other than China), this paper helps to develop a broader and more diverse perspective of SCRM.

Purpose As emphasised by the theory of knowledge-based view, knowledge constitutes the basic element for a firm’s competitive advantage. Consequently, a firm’s knowledge at risk could have an adverse effect on its performance. In this regard, this paper aims to investigate potential knowledge risks present in an (ICT)-supported collaborative project and establishes inter- and multi-relationships among these risks. Design/methodology/approach In this paper, an integrated approach using the total interpretive structural modelling (TISM) technique and MICMAC analysis is implemented to determine the hierarchical inter-relationships among knowledge risks and classify them according to their driving and dependence power. Findings The result reveals seven knowledge risks. The analysis establishes cybercrime and espionage as high drivers of knowledge risks in an ICT-supported collaborative project. Further, a comprehensive model is developed showing the hierarchical structure and multi- and inter-relationships among the analysed risks. Practical implications From a practical viewpoint, the proposed model in this study will be of great importance to practitioners because it highlights the most prominent knowledge risks in an ICT-supported collaborative project. Additionally, it will provide a clue for effective knowledge risk management in a systematic approach. Originality/value To the best of the author’s knowledge, this is one of the first studies to use both the TISM technique and MICMAC analysis to identify and classify knowledge risks in an ICT-supported collaborative project.

Purpose The purpose of this paper is to structure existing research on knowledge management (KM) in small- and medium-sized enterprises (SMEs) to offer a comprehensive overview of research strands and topics in KM in SMEs to determine their evolution over time. Design/methodology/approach The paper, which is considered a follow-up literature review, is based on a systematic literature review that covers 180 scientific papers that were published since the review paper by Durst and Edvardsson in 2012 that covered 36 papers. Findings The findings of this review and those of the aforementioned review are brought together in the form of an overview that structures research on KM in SMEs based on themes that, in turn, allow the derivation of promising research directions and research questions aimed at structuring future research on KM in SMEs. Originality/value By combining the findings of this review with the findings from the review published in this journal in 2012, this paper offers, to the best of the authors’ knowledge, the most comprehensive literature review on KM in SMEs produced to date.

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In this article, we examine how external factors such as demand, security regulation, cyber risks, and relative performance influence supply chain risk management (SCRM) in young and mature small and medium-sized enterprises (SMEs) in Turkey. For this, we utilised fuzzy set qualitative comparative analysis (fsQCA) using data from 137 Turkish SMEs. Our results suggest a single significant path for explaining SCRM in young SMEs, while we found three significant paths for explaining SCRM in mature SMEs. Furthermore, the results indicate that demand risk is the only external factor for young SMEs to realise SCRM success. For mature SMEs, demand risk and/or relative performance are essential to explain SCRM performance. Based on our findings, we theoretically contribute by unravelling the pathways through which external factors influence SCRM performance. Moreover, practitioners could align their strategies towards these pathways when constructing a strategy for achieving SCRM performance.