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Information and communication technologies (ICTs) enable firms to improve their processes to remain competitive and profitable in today’s market. These demands not only value economic results but also social impact and environmental care. In other words, firms must achieve sustainable performance. However, to take on these new sustainability challenges, firms must have dynamic capabilities to take advantage of highly changing technology. Thus, this study aims to examine the mediating role of dynamic capabilities in the relationship between ICT and sustainable performance.

This study was empirical, associative and explanatory, following a latent variable design. The sample of the study consisted of partners, founders, executives and promoters from 102 Colombian new technology-based firms selected through purposive non-probabilistic sampling. Variance-based structural equation modeling or partial least squares was used for the statistical data analysis.

A higher-order model was tested, corroborating that ICT was composed of two dimensions (use and acquisition), dynamic capabilities were composed of three dimensions (absorption, innovation and adaptation), while sustainable performance showed a unidimensional structure. As for the research hypotheses, all the direct effects were supported, as well as the mediating effect of dynamic capability in the relationship between ICT and sustainable performance, this being a complementary mediation.

This study highlights the importance of dynamic capabilities for firms today, especially those working with high levels of technology. Also, considering the results obtained, firms must implement better strategies in the acquisition and use of technology to improve their sustainable performance in dynamic and uncertain environments.

Gears are prone to instantaneous failure when operating under extreme conditions, affecting the machinery’s service life. With numerous types of gear meshing and complex operating conditions, this study focuses on the gear–rack mechanism. This study aims to analyze the effects and optimization of biomimetic texture parameters on the line contact tribological behavior of gear–rack mechanisms under starvation lubrication conditions.

Inspired by the microstructure of shark skin surface, a diamond-shaped biomimetic texture was designed to improve the tribological performance of gear–rack mechanism under starved lubrication conditions. The line contact meshing process of gear–rack mechanisms under lubrication-deficient conditions was simulated by using a block-on-ring test. Using the response surface method, this paper analyzed the effects of bionic texture parameters (width, depth and spacing) on the tribological performance (friction coefficient and wear amount) of tested samples under line contact and starved lubrication conditions.

The experimental results show an optimal proportional relationship between the texture parameters, which made the tribological performance of the tested samples the best. The texture parameters were optimized by using the main objective function method, and the preferred combination of parameters was a width of 69 µm, depth of 24 µm and spacing of 1,162 µm.

The research results have practical guiding significance for designing line contact motion pairs surface texture and provide a theoretical basis for optimizing line contact motion pairs tribological performance under extreme working conditions.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.