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This paper aims to categorise the approaches to knowledge management (KM) by companies. In the literature, there is no consensus on a universal or “best” approach to KM. Especially, this paper singles out and discusses the variegated features that characterise the implementation of KM by small- and medium-sized enterprises (SMEs) having different characteristics.

A cluster analysis was used to detect the possible distinct traits of companies that have different approaches to KM. The unit of analysis is represented by small- and medium-sized knowledge intensive business services (KIBS) firms. Data were collected by means of an extensive survey of 223 companies in different European countries and sectors.

Three clusters were identified: Companies showing a relative “unconscious” attention to KM and implementing KM practices without particular awareness; Companies adopting a more conscious approach and using a significant number of KM practices; and companies with a marginal propensity towards KM.

This study considers only KIBS, and future research should include other economic sectors. In addition, a convenience sample was used.

This paper improves awareness of managers of small companies concerning different KM approaches that can be adopted. It highlights that a conscious adoption of a KM strategy involves the introduction of a set of consistent practices.

The topic of KM approaches by small companies is still underdeveloped in the literature. Also, the paper proposes a multi-contextual investigation that makes it possible to highlight the transversality of KM approaches across different countries or sectors.

This study analyses the relationship between the use of work–family benefits and job satisfaction (JS). Furthermore, it proposes that work-to-family conflict (WFC) and work-to-family enrichment (WFE) play a mediating role in this relationship. The purpose of this paper is to address these issues.

Data are gathered from 1,051 employees of Colombian organisations. Partial least squares path modelling is used.

The results show that the perception of WFE to a greater extent and the WFC perception, to a lesser extent, are significant mediators in the relationship between the use of benefits and JS.

This study justifies investments and initiatives on the adoption and promotion of work–family benefits. Moreover, it provides practical clues on how to boost JS: WFC and WFE are variables to be considered.

This study proposes a multiple mediation model to analyse the relationship between the actual use of work–family benefits and JS from a family perspective. It contributes to the literature in examining antecedents of JS, highlighting the role of WFE.

To determine how to best deploy the Triple-A supply chain (SC) capabilities (AAA-agility, adaptability and alignment) to improve competitive advantage (CA) by identifying the Triple-A SC model with the highest CA predictive capability.

Assessment of in-sample and out-of-sample predictive capacity of Triple-A-CA models (considering AAA as individual constructs) to find which has the highest CA predictive capacity. BIC, BIC-Akaike weights and PLSpredict are used in a multi-country, multi-informant, multi-sector 304 plant sample.

Greater direct relationship model (DRM) in-sample and out-of-sample CA predictive capacity suggests DRM's greater likelihood of achieving a higher CA predictive capacity than mediated relationship model (MRM). So, DRM can be considered a benchmark for research/practice and the Triple-A SC capabilities as independent levers of performance/CA.

DRM emerges as a reference for analysing how to trigger the three Triple-A SC levers for better performance/CA predictive capacity. Therefore, MRM proposals should be compared to DRM to determine whether their performance is significantly better considering the study's aim.

Results with our sample justify how managers can suitably deploy the Triple-A SC capabilities to improve CA by implementing AAA as independent levers. Single capability deployment does not require levels to be reached in others.

First research considering Triple-A SC capability deployment to better improve performance/CA focusing on model's predictive capability (essential for decision-making), further highlighting the lack of theory and contrasted models for Lee's Triple-A framework.