Purpose The purpose of this paper is to investigate the association between the strength of intellectual capital (IC) and small- and medium-sized enterprise (SME) innovation performance. Design/methodology/approach Primary data of 150 SMEs belonging to manufacturing medium-high tech industries were collected through a survey. The methodology consists of a confirmatory factor analysis and a cluster analysis, complemented by a t-test, to assess whether there is a significant difference in terms of innovation performance of SMEs characterized by a different strength of IC. Findings Overall, the findings show that SMEs of the sample can be divided into two groups characterized by a different strength of IC, and those SMEs disclosing a higher strength of IC, in terms of human capital, innovation capital and relational capital, exhibit a significantly higher radical and incremental innovation performance. Practical implications The present study provides SME entrepreneurs and managers with an empirical evidence that possessing strong IC in its three dimensions seems to help SMEs reinforce their ability to generate both radical and incremental innovation. This calls that SME entrepreneurs and managers need to identify and effectively manage IC in order to strengthen and effectively leverage their investments on IC. Originality/value This study is particularly relevant because, instead of focusing on single categories of IC as previous studies mainly do, it adopts an overarching perspective of the dimensions of IC and their impact on both radical and incremental innovation performance. Moreover, it focuses on the SME context which has been less investigated than large firms within the domain of IC.

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Purpose The purpose of this paper is to investigate whether the financial resources invested in advanced manufacturing technologies (AMTs) and social capital (SC), in terms of the set of internal and external relationships a firm holds, have a positive effect on the adoption of Industry 4.0 (I4.0) technologies. Furthermore, it tests whether the organizational context strengthens these relationships. Design/methodology/approach The authors used regression models to analyze data collected through an international survey carried out within the scope of a European project involving six Central European regions. Findings Results show that small- and medium-sized enterprises (SMEs) having stronger internal and external SC have a higher propensity to adopt I4.0 technologies, and both management support and absorptive capacity (AC) strengthen these relationships, whereas investments in AMTs within the manufacturing area and internal SC have a positive association with the intensity of I4.0 adoption. However, in presence of a high level of management support and AC, the relationship between external SC and I4.0 adoption becomes positive and significant. Management support also moderates the impact that investments in AMTs in the manufacturing area and internal SC have on the intensity of adoption of I4.0 technologies. Originality/value This paper is one of the first to investigate the context of SMEs that, having fewer resources, face some difficulties in exploiting the potential of I4.0 revolution. Moreover, it adopts a broad perspective on the factors that facilitate the adoption of I4.0.

Purpose In today’s knowledge economy the ability to innovate and develop new products is a key factor to sustain firm performance. Within this context, analysing the role of different components of intellectual capital (IC) becomes of foremost importance, as well as an under-investigated issue for small- and medium-sized enterprises (SMEs). The purpose of this paper is to investigate the impact of human, organisational and relational capital (RC) on radical innovation performance (RIP), as well as to examine whether organisational capital (OC) and RC mediate the relationship between human capital (HC) and RIP and whether OC moderates the relationship between RC and RIP. Design/methodology/approach The methodology consisted of a factor analysis and different regression models to test for mediation and moderation. The analyses are carried out on a sample of 150 micro firms and SMEs involved in the production of machinery or instruments and located in Italy. Findings Results show that HC is directly associated to RIP, as well as OC and RC that totally mediate the relationship between HC and RIP. Moreover, OC positively moderates the relationship between RC and RIP. Originality/value This study is particularly interesting because it adopts an overarching perspective on IC testing the interplay between the different components of IC. In addition, it focusses on the SME context which is under-investigated as far as IC and performance measurement is concerned.

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