There are numerous emerging studies addressing big data and its application in different organizational aspects, especially regarding its impact on the business innovation process. This study in particular aims at analyzing the existing relationship between Big Data Analytics Capabilities and Co-innovation. To test the hypothesis model, structural equations by the partial least squares method were used in a sample of 112 Colombian firms. The main findings allow to positively relate Big Data Analytics Capabilities with better and more agile processes of product and service co-creation and with more robust collaboration networks with stakeholders internal and external to the firm.

Purpose This paper aims to analyze the moderating effect of knowledge leakage on the relationship between absorptive capacity and co-innovation, which implies collaborative work and knowledge exchange with external actors on virtual innovation platforms. Design/methodology/approach The research model was tested in a sample of companies through the use of structural equations by the partial least squares method. Findings The results confirm that absorptive capacity is a prior condition for co-innovation. However, the most interesting and surprising result has to do with knowledge leakage, which actually has a negative moderating effect, but whose size is modest, which dismisses the great damages that such leakage could generate. Originality/value This study is pioneering in analyzing knowledge leakage in the context of virtual innovation platforms, which occurs in a different manner as compared to leakage in the context of collaborative research and development, widely analyzed in the literature. However, the main contribution of the paper lies in the fact that the results evidence the existence of an intermediate position between the traditional approach that insists on demonstrating the devastating consequences of the leakage and the emerging approach that dismisses these negative repercussions and conceives leakage as a positive organizational phenomenon, natural and inherent to the interaction of the firm with the environment. The results also contradict recent empirical evidence that completely dismisses the negative repercussions of knowledge leakage in contexts where incremental innovations prevail.

) . * Autor a quien debe dirigirse la correspondencia.Recibido May. 17, 2017; Aceptado Jul. 20, 2017; Versión final Oct. 25, 2017, Publicado Feb. 2018 Resumen El presente artículo estudia la manera como el conocimiento puede ser gestionado dentro de las organizaciones para promover la generación de ideas nuevas y útiles. El objetivo del artículo es evidenciar las prácticas concretas de gestión del conocimiento que tienen incidencia sobre la creatividad organizacional. En lo metodológico se utilizaron ecuaciones estructurales por el método mínimos cuadrados parciales y el análisis bootstrap-percentil para probar la existencia de la mediación en una muestra de 160 empresas. Se encontró que las prácticas de aprendizaje continuo y la gestión de las competencias individuales de los empleados, tienen incidencia significativa sobre la creatividad, considerada una fuente de ventaja competitiva y un elemento indispensable para la supervivencia de las organizaciones. Por lo tanto, se reconoce que la puesta en marcha de prácticas de gestión del conocimiento fomenta el ambiente organizacional, proporciona recursos, y desarrolla procesos que promueven la creatividad organizacional y facilitan el proceso de innovación. Palabras clave: conocimiento organizacional, gestión del conocimiento, creatividad organizacional, aprendizaje continuo, gestión de competencias Impact of Knowledge Management Practices on Organizational Creativity AbstractThis paper studies how knowledge can be managed within the organizations to promote the generation of new and useful ideas. The aim of the paper is to show specific knowledge management practices that have impact on organizational creativity. Structural equations by the partial least squares method and bootstrappercentile analysis to test the existence of mediation in a sample of 160 companies were used. It was found that continuous learning practices and management of individual skills of employees have significant impact on creativity, considered a source of competitive advantage and an indispensable element for the survival of organizations. Therefore, it was recognized that startup of knowledge management practices promotes an organizational environment, provides resources, and develops processes that promote organizational creativity and facilitate the process of innovation.

PurposeDespite the increase in studies focused on analyzing the potential of big data analytics capability (BDAC) as a driver of product and process innovation, it is still necessary to understand how the use of insights generated by BDAC in innovation may be maximized through articulation with individuals' intellect and other processes involving the assimilation and transformation of knowledge. This study thus aims to analyze the impact of BDAC's deployment on innovation capability (IC – process and product innovation capabilities), taking absorptive capacity (AC) as mediating variable in this relationship.Design/methodology/approachStructural equations were used to test the research model with survey data from 112 firms located in an emerging country that is one of the digital transformation leaders in the region.FindingsThe results show that 37% of process IC variance is explained by the indirect relationship via the variable mediator (AC), while in the case of product IC this percentage is 34%.Originality/valueThese results allow us to ascertain the extent to which individuals continue to be relevant to generating product and process innovation in the digital age at a time when the literature anticipates a total loss of prominence due to the arrival of new digital technologies. However, in the case of the relationship between BDAC and ICs, the existence of a partial mediation of AC indicates that individuals continue to play a role that, albeit not being the most prominent, remains relevant in ensuring that a company maximizes the assimilation and transformation of the insights generated by BDAC in new products and processes.

Big data is heralded as the next big thing for organizations to gain competitive advantages. New data-driven firms need to control key resources in order to develop the new data-driven capabilities they need. The present paper analyzes the relationships between process innovation capability, management innovation and big data analytics capability, covering aspects related to a better understanding of how firms can obtain benefit from their investments in big data. PLS-SEM models with data from 195 firms are used. The main results suggest that management innovation and process innovation capabilities have an important role in the development of big data analytics capability. Big data analytics capability is much more than just investing in technology, collecting vast amounts of data, and allowing the technology department to experiment with analytics. The outcomes of this study present evidence on how innovative managers who promote innovations in process as well as innovations in different aspects of the organization favor the development of capabilities in big data analytics.

Emerging markets have achieved important growth through innovation in services and industrial sectors. However, both research and empirical evidence about innovation development is very limited in Latin America. Innovation-based absorption capacity of different companies is one of the main keys to this growth. This empirical study analysed the relationships between absorption capacity and organisational performance (OP) in a sample of 227 firms in Medellin, Colombia. The findings show that enterprises developing the absorption capacity acquired (ACA) may have better probabilities to improve OP. This study argues that companies whose managers motivate their employees to use information within sources from their industry may have higher probabilities to improve organisational profit and growth.

Autor a quien debe dirigirse la correspondencia. ResumenEl objetivo del artículo es analizar la relación entre la gestión del capital intelectual y el desempeño de grupos de investigación universitarios. Se realizó un análisis clúster y de la varianza (ANOVA con comparaciones post-hoc) para identificar diferencias en medias significativas con datos obtenidos de una muestra de 288 grupos de investigación de universidades en Colombia. Los resultados ponen en evidencia la existencia de tres tipos de grupos: líderes, seguidores y rezagados. Entre ellos encontramos diferencias significativas en cuanto a la publicación de artículos científicos que tienen que ver con dos aspectos específicos de la gestión del capital intelectual: i) la evaluación sistemática de las competencias y el inventario de conocimientos del grupo, y ii) la existencia de una estrategia clara para desarrollar nuevas competencias y adquirir nuevos conocimientos. En conclusión, es necesario revaluar el enfoque tradicional de capital intelectual en universidades que limita la gestión de la construcción y monitoreo de indicadores. Palabras clave: gestión de capital intelectual; grupos de investigación; indicadores de desempeño AbstractThe objective of the article is to analyze the relationship between the management of intellectual capital and the performance of university research groups (PURG). A cluster and variance analysis (ANOVA with posthoc comparisons) was performed to identify differences in significant means with data obtained from a sample of 288 university research groups in Colombia. The results show the existence of three types of groups: leaders, followers and laggards. We find significant differences in the publication of scientific articles among them that have to do with two specific aspects of the management of intellectual capital: i) the systematic evaluation of the competences and knowledge mapping of the group, and ii) the existence of a clear strategy to develop new skills and acquire new knowledge. In conclusion, it is necessary to rethink the traditional approach of intellectual capital for universities, which limits the construction and monitoring of performance indicators.

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