El artículo tiene como objetivo evaluar el nivel de desarrollo de la capacidad de absorción realizada (RACAP) en las Pyme colombianas. Se parte de una muestra de 363 Pyme colombianas (Dane,2012), se usa una revisión de literatura con apoyo del análisis de contenido y un modelo de regresión lineal, que permiten mostrar la existencia de una correlación lineal positiva entre la adquisición y asimilación del conocimiento externo en las organizaciones objeto de estudio,. Palabras clave: Capacidades de absorción, capacidades de absorción potencial, medición de las capacidades de absorción ABSTRACT:

Measurement of potential absorption capacity in Colombia's innovative companies [Medición de la capacidad de absorción potencial en las empresas innovadoras de Colombia]

Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods across a variety of disciplines, including knowledge management (KM). Following the path initiated by different domains in business research, this paper aims to examine how PLS-SEM has been applied in KM research, also providing some new guidelines how to improve PLS-SEM report analysis.,To ensure an objective way to analyse relevant works in the field of KM, this study conducted a systematic literature review of 63 publications in three SSCI-indexed and specific KM journals between 2015 and 2017.,Our results show that over the past three years, a significant amount of KM works has empirically used PLS-SEM. The findings also suggest that in light of recent developments of PLS-SEM reporting, some common misconceptions among KM researchers occurred mainly related to the reasons for using PLS-SEM, the purposes of PLS-SEM analysis, data characteristics, model characteristics and the evaluation of the structural models.,This study contributes to that vast KM literature by documenting the PLS-SEM-related problems and misconceptions. Therefore, it will shed light for better reports in PLS-SEM studies in the KM field.

Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management

Translating the impact of knowledge management processes into knowledge-based innovation: The neglected and mediating role of knowledge-worker productivity

The mediating role of knowledge application in the relationship between knowledge management practices and firm innovation

Purpose




The purpose of this paper is to explore the moderation effect of strategic knowledge management (SKM) on the relationship between three components of intellectual capital (IC) and firm innovation and market performance. The authors argue that specific combinations of IC components and SKM activities can lead to higher innovation and market performance. It is also trying to assist companies to capitalize on both their IC and SKM.




Design/methodology/approach




Survey data have been collected from 101 Serbian companies, and these have been analyzed by using structural equation modelling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) techniques.




Findings




The SEM results show that structural capital and relational capital have a direct effect on innovation performance. Although, there is no significant direct effect of human capital on innovation performance, the relationship becomes significant when moderated by SKM. The effects of human and structural capital on innovation performance are negatively moderated by SKM activities, while SKM positively moderates the effect of relational capital on innovation performance, but remained insignificant. Moreover, the insights from fsQCA show a clear pattern of equifinality, in that there are multiple combinations of static and dynamic conditions that can lead to higher innovation and market performance.




Originality/value




Two separate research fields of “static” IC and “dynamic” knowledge management have been combined in one integrated framework. From a methodological perspective, symmetric and asymmetric statistical tools have been combined to better understand contingency and interactions. This approach contributes to the literature and potentially offers a better understanding of how static intangible assets should be enabled by dynamic knowledge-based managerial activities to achieve high performance. The paper demonstrates that SKM capability matters with only a specific constellation of IC resources and therefore suggests a novel explanation for performance variances.

How strategic knowledge management drives intellectual capital to superior innovation and market performance

Purpose




The purpose of this paper is to review current literature on knowledge management processes considering the relationship between the key knowledge processes of acquisition, sharing, storage, codification, creation, application and different types of innovation, through a systematic literature review.




Design/methodology/approach




This study follows systematic review protocols for management and organisational sciences and analyses 45 full papers on knowledge management processes and innovation.




Findings




Results not only show that all knowledge processes can directly support innovation but also that other organisational variables (e.g. organisational learning, absorptive capacity) mediate this relationship. Moreover, knowledge creation and knowledge application appear as two central processes through which knowledge acquisition, sharing, codification and storage influence innovation. Knowledge acquisition and knowledge sharing are the most frequently studied knowledge processes. The majority of the sample papers present traditional innovation definitions (product vs process, radical vs incremental and technical vs administrative). However, organisational innovation, innovation capability and innovation performance approaches emerge from the papers’ analysis.




Research limitations/implications




The present review includes major scientific papers; however, the search is limited to the Web of ScienceTM platform.




Originality/value




This literature review analyses high-quality, peer-reviewed papers, following a systematic methodology that can be tested and updated. Papers were divided based upon the knowledge process(es) being analysed and the innovation type/approach, providing a twofold contribution to knowledge management and innovation literature.

Key knowledge management processes for innovation: a systematic literature review

The present research aims to explore the role of knowledge creation and absorptive capacity as mediating variables between knowledge acquisition, knowledge sharing, and companies' organizational innovation. A theoretical model supporting the hypothesized relationships is developed, and then research hypotheses are tested with a sample of 111 industrial organizations, using partial least squares structural equation modeling. The results show that knowledge creation positively influences innovation and partially mediates the relationship between intra-firm knowledge sharing and innovation. Knowledge acquisition from external partners is not enough to promote innovation results but significantly reinforces absorptive capacity as well as knowledge sharing. Companies' absorptive capacity fosters the creation of knowledge, but does not significantly influence organizational innovation. The small sample size limits generalization of the present findings. Further research should explore the complementary role of knowledge creation and absorptive capacity in both small and medium-sized enterprises and large companies. Knowledge management practitioners should facilitate a knowledge sharing environment, where new ideas and solutions can be developed, and consequently innovation outcomes are likely to occur. This paper follows recent approaches to mediation analysis and covers advanced topics in partial least squares structural equation modeling literature, providing empirical examples of the application of hierarchical component models and mediation analysis using bootstrap. Copyright © 2016 John Wiley & Sons, Ltd.

Knowledge Processes, Absorptive Capacity and Innovation: A Mediation Analysis

The present research explores the role of knowledge storage and documentation and realised absorptive capacity as mediating variables between potential absorptive capacity and internal knowledge creation. The theoretical model is developed and further tested with a sample of 111 organisations from multiple industry sectors. The results show that the technology-driven process of knowledge storage and documentation, as well as the realised absorptive capacity of the respondent companies, reinforces the human-driven process of internal knowledge creation, and mediates, individually and jointly, the relationship between potential absorptive capacity and intra-firm knowledge creation. Mediation analysis relies on the use of bootstrapping confidence intervals. The authors draw practical implications for organisational psychologists and human resources managers. The small sample size and the cross-sectional design limit the generalisation of the present findings. Further research should explore the complementari...

From Potential Absorptive Capacity to Knowledge Creation in Organisations: The Mediating Role of Knowledge Storage and Realised Absorptive Capacity

The purpose of this study was: (1) to assess levels of burnout, work-related quality of life (WRQoL) and mental health symptoms among a sample of active workers living in Portugal; (2) to analyze differences in burnout, WRQoL and mental health symptoms by gender and shift work; (3) to analyze association levels among all variables under study; (4) to determine the predictive effect of burnout and WRQoL on mental health symptoms; and (5) to assess the mediating effect of burnout on the association between WRQoL and mental health symptoms. Eight-hundred and forty-one Portuguese active workers between 18 and 67 years of age participated in this study (Mean = 37.23; SD = 11.99). Results showed that women participants scored higher in burnout and mental health symptoms, and lower in overall WRQoL, than men; additionally, participants who worked in shifts presented higher mental health symptoms. Significant correlations were found for all variables and regression analysis demonstrated that 56% of the overall variance of mental health symptoms was explained by older age, shift work, lower WRQoL, and burnout (exhaustion and cognitive impairment). Finally, the mediation effect of burnout on the association between WRQoL and mental health symptoms was statistically significant. These findings are useful for health professionals and health managers who work in the field of occupational health in identifying variables affecting burnout, WRQoL and mental health symptoms.

Mediating Effect of Burnout on the Association between Work-Related Quality of Life and Mental Health Symptoms.

Not many studies assessing the impact of internet addiction (IA) and job satisfaction (JS) on mental health symptoms (MHS) among active workers exist. Therefore, the purpose of this study was as follows: (a) to assess the presence of criteria for IA among a sample of active workers; (b) to analyze differences in IA, JS and MHS, by gender; (c) to analyze association levels among IA, JS, and MHS; and (d) to determine the predictive effect of IA and JS on MHS. In total, 1064 participants (Mage = 40.66; SD = 12.02) completed a survey containing four categories of measures: demographic information, internet addiction, job satisfaction, and mental health symptoms (anxiety and depression). Results showed a presence of 13.3% for IA among the sample. Male participants showed higher scores of IA and JS but lower scores of overall MSH than female participants did. Significant positive correlations were found between overall IA and MHS, and significant negative correlations were found between IA and JS, and MHS and JS. Hierarchical linear regression analysis showed that strong predictors of MHS were age (being older), gender (being female), not having enough economic funds, being unsatisfied with the leadership in the job, being unsatisfied with the nature of the job, and having higher scores in salience and excessive use regarding IA. In conclusion, addiction to internet technology is a risk factor with implications for occupational satisfaction and mental health.

https://www.mdpi.com/1660-4601/18/13/6943/pdf

Vítor Costa

Papers

Key knowledge management processes for innovation: a systematic literature review

Knowledge Processes, Absorptive Capacity and Innovation: A Mediation Analysis

From Potential Absorptive Capacity to Knowledge Creation in Organisations: The Mediating Role of Knowledge Storage and Realised Absorptive Capacity

Mediating Effect of Burnout on the Association between Work-Related Quality of Life and Mental Health Symptoms.

The Impact of Internet Addiction and Job Satisfaction on Mental Health Symptoms among a Sample of Portuguese Workers.