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The purpose of this paper is to propose a new model of leadership in a volatile, uncertain, complex and ambiguous (VUCA) context, paying special attention to human resource management.

The paper is conceptual. It presents the challenges of the VUCA environment that from which technically empowered democracy movements around the world have emerged, needing a new leadership model that aligns human resources tools to the new leadership model.

New tools for human resource management are proposed.

The paper links technological changes and leadership skills, providing a novel framework that can provide a basis for further research into the profound nature of leadership. Implications useful for managers and leaders are discussed.

The purpose of this paper is to analyze the relation between values and virtues and the principles of Total Quality Management (TQM) and thus to propose a tentative framework of relationships.

The paper is conceptual. It reviews some lists of values present in literature, and summarizes them in a more comprehensive list. Then the list of values is summarized in conjunction with a list of core virtues. Thus, it tries to explain the relation between them and the principles of TQM, passing through the two mediating variables passion and trust.

A model of TQM based on core virtues is proposed.

The lack of empirical data that can validate the model.

Considering the emphasis placed on virtues, the model can have some practical implications in the field of recruitment, promotion, and leadership.

The paper attempts to link values and virtues to the principles of TQM by developing a model of interactions. A novel framework that can provide a basis for further research into the profound nature of quality management has been proposed. Furthermore, some implications that should be useful for recruiters and managers are discussed.

Hempseed oil is a valuable emerging food product with recognized health positivity due to its composition. The paper aims to propose a multi-methodological chemical profiling of nine organic hempseed oil samples (different brands and prices) from the retail market, followed by multivariate data analysis.

Fatty acids, tocopherols, squalene, total carotenoids content, phenolic compounds, total phenolic content and anti-radical activity (DPPH• and ABTS•+ assays) were determined through chromatographic and spectrophotometric techniques. Multivariate (explorative and discriminant) analyses were applied to the profiling results to classify samples according to information claimed on the label, i.e. geographical origin (EU vs. non-EU), extraction procedure (cold-pressed vs. not cold-pressed) and price (lower or higher than 10 € per 250 mL).

The chemical analysis confirmed the 3 to 1 ?-6:?-3 ratio and the excellent content in antioxidant species. However, no specific trend of results can be stressed. PCA (after variables selection) highlighted a natural grouping of samples, so three discriminant analyses were performed: kNN, Naïve Bayes and LDA. The best classification efficiency was reached for the extraction procedure verification (93–100% correct classification), followed by geographical origin (83–94%) and prices (81.6–90%).

The integrated approach of chemical profiling coupled with multivariate analyses allowed the assessment of label information of the analyzed organic hempseed oil samples, despite the wide heterogeneity of the selected samples.