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In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance.

A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0.

The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable.

The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology.

The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

This article explores the connections between the entrepreneur's global mindset and entrepreneurial motivation in the quest for determining the underlying relationships among these constructs. The aim of the study resides in the advancement of various entrepreneurial profiles which imply specific configurations of the global mindset and motivational drivers, by also covering their correlations with the business outcomes.

Data were collected in 2022 from over 100 entrepreneurs operating in the Romanian SMEs sector, using a questionnaire-based survey.

The results posit that at least three statistically relevant clusters can be observed in the studied population, stemming from the particularities of the entrepreneurs' global mindset. The findings reveal that the levels of development of the entrepreneur's social capital, psychological capital and intellectual capital are linked to different entrepreneurial motivations and impact the company in specific manners.

The research offers useful cues to the entrepreneurs for identifying prospective partners for their local or cross-border operations.

The results foster a new topical framework for discussion on the motivational configurations of entrepreneurs and the global mindset.

The study sets out to explore the mediating role of intellectual capital (IC) dimensions (i.e. human, structural and relational) between scholars' affiliation to online academic networks and institutional knowledge capitalization. Online academic networks are tackled through the lens of knowledge networks which have been of primary importance for new relevant knowledge acquisition during the COVID-19 pandemic.

A questionnaire-based survey of 305 academics from 35 different countries was conducted from July to December 2021, employing a partial least squares structural equation modelling technique. The database was initially filtered to ensure the adequacy of the sample, and data were analyzed using the statistics software package SmartPLS 3.0.

Evidence was brought forward that the proposed conceptual model accounted for 52.5% of the variance in institutional knowledge capitalization, the structural and relational capital availed by knowledge networks exerting strong positive influence on the dependent variable.

The study has both research and managerial implications in that it approaches a topical phenomenon, namely the capitalization of online academic networks in the COVID-19 context, which has dramatically altered the way that research and teaching are conducted worldwide.

The most important contribution of the paper resides in the comprehensive research model advanced which covers individual, organizational and network multifaced layers, starting with the personal and institutional motives to join a specialized network, continuing with the opportunities provided by knowledge networks in terms of intellectual capital harnessing, and ending with its influence on higher education organizations.