Research on open innovation (OI) has increased in recent years, showing its potential in various areas of knowledge. Its relation to small and medium-sized enterprises has attracted the attention of academics. This article aims to evaluate the intellectual structure of the scientific study of OI, and its close relationship with various scientific fields, through a bibliometric analysis of this academic field using the Scopus database and the application of the VOSviewer software. The methodology comprises a rigorous systematic and transparent process divided into four phases: (i) the establishment of search criteria for the research field, through a literature review for its selection; (ii) the selection of the database, the establishment of the search equation and extraction of information; (iii) the application of inclusion and exclusion criteria for the selected documents and an explanation of the usefulness of the software; and (iv) the analysis of the results through the approaches of scientific output performance and bibliometric mapping. The results show an increasing trend of IO publications in SMEs, consolidated in 396 articles with contributions from 65 countries and 947 authors. The intellectual structure shows seven themes related to firm performance, R&D networks, business management, business models, capabilities and knowledge transfer. This study contributes to the field by providing an overview of IO in SME contexts. It also provides insightful information to policymakers for developing policies for firm economic growth.

Due to its adaptability in being relevant to the economies of different countries, industries, and research fields, the creative economy (CE), a driving force behind the national economy for sustainable development, has recently garnered the attention of the academic community. This research examines the intellectual structure of this field using the Scopus database in the subject area of business, management and accounting. This study uses bibliometric analysis, a cutting-edge and rigorous technique for the exploration of scientific data. The employed methodology entails an organized and open procedure broken down into four phases: (1) search criteria; (2) selection of database and documents; (3) selection of software and data pre-processing; and (4) analysis of results. We use two approaches to learn about their structure by evaluating performance and observing their various connections through bibliometric mapping. The findings indicate that the creative economy is a burgeoning area of research, with 687 articles, 1340 authors, and 64 nations represented. In addition, the creative economy, the cultural industry, human capital, management, entrepreneurship, and business models are research topics. This study has several implications because it offers an up-to-date and comprehensive overview of the trends in this topic, making it a helpful tool for researchers. It also identifies gaps in the literature that lead to possible lines of investigation in future studies.

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The professional success of graduates is closely linked to the value of university performance, perhaps much more so than other indicators. This study analyses the predictive and explanatory capacity of a model on the career success of university alumni in a developing country (Ecuador), which serves as empirical evidence on the subject; we examine the moderating effect of gender on the relationships between constructs in the model. We use a Hierarchical Component Model (HCM) of Partial Least Squares Structural Equations (PLS-SEM) and a permutation-based multigroup analysis for moderation. The used database comprises 444 records from a self-administered survey of graduates of the State Technical University of Quevedo (UTEQ)—Ecuador. On the findings, the model proposed has good explanatory and predictive power for career success. Objective success has a lower incidence of professional success (22% of the variance explained) than subjective success (78% of the variance explained). In none of the latent variable correlations in the model were gender differences between men and women found to be statistically significant. Finally, we also cover the study’s theoretical and practical implications.