Purpose-The aim of this paper is to analyse leadership cycles based on knowledge creation, with learning and culture as key elements for reaching leadership. Following Ikujiro Nonaka's viewpoint about knowledge creation in Japanese firms, this paper seeks to provide a link between knowledge management and change in leaders. Design/methodology/approach-The developed analysis is theoretical and it links the real case of Hoshiden Electronics' homemade breadmaking machine to knowledge distribution in order to attain leadership and using Nonaka's knowledge interplay. Findings-The paper provides a fresh look on leadership, presenting two types according to how change in leaders is handled and how every leader establishes his/her own knowledge cycle: knowledge amplification and knowledge modulation cycle. Originality/value-Knowledge leadership cycles establish an insight for future studies and provide a theoretical framework for researchers and managers, identifying how a successful leader is developed.

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(1) Background: this paper analyzes the relationship between entrepreneurship and sustainability following the worldwide reference of the 2030 Sustainable Development Goals (SDGs) framework set by the United Nations. Nowadays, these SDGs are the inspiration for many types of entrepreneurship that combine value creation with conservation and social protection. (2) Methods: using the indicators provided by Eurostat in its section called “Sustainable development indicators”, we have developed a dataset of 21 variables applied to the European Union (EU27) for the period 2013–2017. (3) Results: the results hold that these SDGs have favored a climate of change in the European economies towards more responsible behavior on the part of society, institutions, and their business fabric, creating new sustainable entrepreneurship. (4) Conclusions: the promotion of the SDGs has contributed to increasing the rate of entrepreneurial activity in the period 2013–2017.

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This paper proposes a statistical model for identifying which contexts favour the growth of populism in European democracies by analysing the relationship between the Human Development Index (HDI) and the Corruption Perception Index (CPI). With the aid of United Nations (UN), Transparency International Organization and Institute for Global Change data for the years 2013-2017, and after applying statistical convergence, our study identifies different clusters of European democracies where populism has grown after serious episodes of social conflict in the wake of one of the most important financial and economic crises in recent history. The study's findings provide new insights which help to identify weaknesses in democracies where populist parties could grow.

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In this paper, the most general bivariate distribution with Lognormal conditionals is fully characterized, using the methodology proposed by Arnold, Castillo and Sarabia (1999). The properties of the new family are studied in detail, including marginal and conditional distributions, regression functions, dependence measures, moments and inequality measures. The new distribution is very wide, and contains as particular case the bivariate Lognormal distribution. Several subfamilies are studied. Some extensions and variations of the basic model are discussed. Finally, we present an empirical application. We estimate and compare the models proposed in the paper, using data from the European Community Household Panel (ECHP) in different periods of time.