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This article shows the numerical results and the analysis of households’ degree of knowledge about the urban water cycle, needs, and values regarding water in an intermediary city with low water stress, such as Huelva (Andalusia, Spain). Results are also presented regarding how households maintain the acceptance of reclaimed water and new technologies to achieve more efficient and sustainable consumption. Surveys were sent to households, and different statistical analysis techniques were applied. The use of clustering as a mathematical tool has served to obtain three clusters of households with similar characteristics with respect to the previous factors. The first cluster corresponded to households with high knowledge of the integral water cycle and positive attitude to smart devices at home. The second cluster showed low knowledge of the integral water cycle and high sensitivity to price. The third one had average knowledge and predisposition to have a closer relationship with the water company. This classification allows implementing different water demand management strategies tailored to each cluster. Applying a Design Thinking methodology, a web-based prototype has been designed as an ICT tool concerning households. The goal is to achieve greater engagement of households concerning water and align citizens with their city’s sustainability.

PurposeThis study aims at shedding light on entrepreneurial aspirations on both developed and developing economies, in terms of contextual and individual values. Among the former, economic development and inequalities are sought after, while among the latter national culture is the variable under study.Design/methodology/approachThe data used are extracted from the Global Entrepreneurship Monitor for a panel of countries, where the entrepreneurial aspirations of individuals of each country are measured through the Total early-stage Entrepreneurial Activity (TEA). The influence of cultural values as defined by Hofstede (individualism-collectivism (IDV), masculinity–femininity (MAS) and uncertainty avoidance (UAI)), moderated by the development level of the country and the existing inequalities are analyzed through artificial neural network (ANN) and multilayer perceptron (MLP) techniques.FindingsResults show that in the post-crisis era, entrepreneurial aspirations are negatively linked to individualism in developing countries. In developed countries, however, entrepreneurship is not linked to individualism but to inequalities.Originality/valueEntrepreneurial aspirations have not been thoroughly studied in the post-crisis era. We prove that entrepreneurial orientations have changed, together with the world, in the last decade. Cultural differences between countries tend to moderate, especially among developed ones, which speak of homogenization of national cultures. In this regard, inequalities are the determining factor. Contrarily, in developing countries, the differences in individualism are noticeable when it comes to analyzing entrepreneurial aspirations.

Innovation permeates the financial sector by means of collaborative finance. Crowdfunding, as an activity based on peer-to-peer lending through a platform, is an innovative way to finance start-ups. A better understanding is needed of the motivational factors of backers to participate in crowdfunding campaigns. This study used the empirical data to investigate this issue, paying attention to the participation in four platform types (reward-based, lending-based, equity-based, and donation-based crowdfunding). Results indicate that the extrinsic and intrinsic motivators are constructs that drive actual behaviors. Extrinsic motivators are the prevalent driver of participants in crowdfunding, regardless of which platform type is used.

This study validates empirically the components of the Global Entrepreneurship Monitor Conceptual Framework (GEMCF) related (1) to the educational background of the entrepreneur, (2) the society's perception of entrepreneurship and (3) the individual's perceived capabilities. These factors' ability to explain entrepreneurship within a specific entrepreneurial ecosystem (New Technology-Based Firms, NTBF) is sought after. A structured methodology is designed, including the definition of components of the model to be validated, definition of observed variables of those components, data collection through surveys, and analyses of the data. In particular, Exploratory Factor Analysis for validation of chosen observed variables, Structural Equation Modelling (SEM) for validation of correlation among components (using Confirmatory Factor Analysis) and validation of causal relationships between components and entrepreneurship (using Structural Modelling) as proposed by the GEMCF have been used.Results obtained prove the robustness of the GEMCF.

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This paper uses the numerical results of surveys sent to Huelva’s (Andalusia, Spain) households to determine the degree of knowledge they have about the urban water cycle, needs, values, and attitudes regarding water in an intermediary city with low water stress. In previous research, we achieved three different households’ clusters. The first one grouped households with high knowledge of the integral water cycle and a positive attitude to smart devices at home. The second cluster described households with low knowledge of the integral water cycle and high sensitivity to price. The third one showed average knowledge and predisposition to have a closer relationship with the water company. This paper continues with this research line, applying Classification and Regression Trees (CART) to determine which hierarchy of variables/factors/independent components obtained from the surveys are the decisive ones to predict the range of household water consumption in Huelva. Positive attitudes towards improved cleaning habits for personal or household purposes are the highest hierarchy component to predict the water consumption range. Second in the hierarchy, the variable Knowledge Global Score about the integral urban water cycle, associated with water literacy, also contributes to predicting the water consumption range. Together with the three clusters obtained previously, these results will allow us to design water demand management strategies (WDM) fit for purpose that enable Huelva’s households to use water more efficiently.

CAPÍTULO 4. METODOLOGÍA, ESCALAS DE MEDICIÓN Y OBTENCIÓN DE DATOS 4.1. Justificación Metodológica 4.2. Población y Muestra 4.3. Instrumentos y Recolección de Datos 4.4. Análisis Estadísticos de los Ítems v 4.5. Fiabilidad y Validez de la Escala 94 4.6 Modelado Estadístico 96 CAPÍTULO 5. ANÁLISIS ESTADÍSTICO Y CONTRASTE DEL MODELO 5.1 Población y Muestra 5.2. Caracterización de la Muestra 5.3. Validez y Fiabilidad de las Escalas de Medida 5.4. Resumen del análisis del modelo de media