The creation and dissemination of scientific knowledge have been widely studied. However, studies revealing the influence of peer collaboration on the productivity of academics with widely recognized performance remain scarce. The same can be said about the size of collaboration networks and the expected range of co-authors for maximizing scholarly productivity. In this sense, the present investigation aimed to analyze the possible collaboration-scientific production and collaboration-dissemination elasticities of knowledge. To this end data was collected on the scientific production and collaboration of the 500 authors of the most cited articles on Open Innovation, as well as of all 86 Nobel Laureates in Economics available in the Scopus database.

The data was treated and analyzed using the simple regression statistical technique, based on the Ordinary Least Squares (OLS) method with the incorporation of nonlinearities, characterized by the use of a Log-Log Model. The results point out that collaboration among peers exerts significant influence on the production and dissemination of knowledge, even among the most prominent individuals in their fields, such as Nobel Laureates in Economics, confirming what is found in the literature on the subject. However, despite what the literature points out, especially concerning the idea that the larger the collaboration network, the higher the productivity, the results found suggest that collaboration networks have the same characteristics of an economic production function, to the extent that after a certain point, the addition of one more researcher in the network generates the effect of decreasing marginal productivity.

This study unfolds the nexus between green investment (GI), the sustainable business performance (SBP) of small- and medium-sized enterprises by exploring the mediating role of corporate social responsibility (CSR), and green innovation (GIN) in the context of an emerging economy. A well-structured questionnaire was used for data collection. A total of 556 valid responses from directors and managers were received and used for data analysis.

The Smart PLS version 3.3.2 was employed to analyse and investigate the relationships between the constructs and the latent variables. Our findings provide an insight into how GI can boost SBP in the context of CSR and GIN partially mediating this relationship. This research implies that, businesses, which implement GI, GIN and CSR to promote bringing long-term and sustainable benefits to businesses and stakeholders for SBP to help businesses, develop sustainably in the new context.

Marketing in a family firm context has been increasingly researched over the past years. This study reviews 104 publications at the intersection of marketing and family firms to identify their theoretical roots, research trajectories, and themes and to propose new research avenues. For this, we integrated three bibliometric analyses: co-citation analysis, historical direct citation analysis, and co-occurrence analysis. We also conducted a qualitative review to further examine the obtained quantitative results.

The findings show that the theoretical roots in the marketing and family firm research domain are characterized by two groups of cited references: those representing the earlier (before 2010) and later (after 2012) periods. The two main research trajectories identified are developed under the influence of two pioneering studies. Moreover, five distinct research themes are identified: brand and image, resources and performance, reputation, market orientation, and marketing strategy of family firms. Our results also highlight avenues for further research.

The Europe 2030 project identified the need to create a growth model that is based on a dynamic balance between economic, social, and environmental dimensions. This involves, among other objectives, redirecting the resources that are allocated to the Common Agricultural Plan (CAP) toward more ecological agriculture and livestock. In recent decades, two packages of the European Agricultural Fund for Rural Development (EAFRD) approved funds for projects related to agriculture. This study carried out a regional evaluation of the effects on production and employment that were generated in the Spanish organic farming sector.

For this, a methodology that is frequently used by researchers to analyze territorial differences was used, namely, the shift-share analysis. The main results showed important differences at the regional level in the production of crops. Likewise, constant shift and constant share analyses were used to forecast the evolution of the sector from the recent data. Pending the approval of the new EAFRD 2021-2030, the results obtained in this research allowed for the identification of the regions that showed a favorable evolution to change the agricultural model and to identify the projects that generated employment and ecological production in the sector.

This research explored how strategies and knowledge are used within a medium low-tech industrial cluster to achieve competitive advantages. Firstly, a meta-bibliographical survey of literature was conducted to find theoretical gaps; secondly, an empirical case study was analysed. The dataset comprises collected interviews, several documentation and non-participating observations. Data was analysed through categorisation technique, after being reduced, prioritised and synthetised. Main findings revealed that the cluster’ companies implemented adaptive strategies, according to Chaffee’s typology and differentiation strategies, according to Porter’s, by outsourcing R&D of each inner company to a specialised partnered research centre.

This cluster is characterised with strong tendencies of coopetition, trusted relationships, and planning of conjoint activities to provide and to share learning, effective combination of resources in strategic communities, and profiting from economic efficiency. The main strategic knowledge is considered the consumer market rather than secrets, patents or intellectual properties. Knowledge related to specific expertise is the second key strategic asset that allows competitive advantages to cluster’s companies. This research represents a first attempt to understand industrial dynamics regarding the strategy and knowledge interplay in a context of medium low-tech clusters. Practical implications for cluster governances, policymakers and scholars are addressed.