Since the 1960s, Halal industry and Islamic Finance have grown in parallel without implementing adequate synergies. Halal tourism is a fast-growing sector of Halal industry, and the connection with Islamic Finance has hardly been researched. The aim of this paper is to analyse whether Islamic Finance can play an active role in developing Halal Tourism. This topic has not been empirically researched in the literature. The methodology is based on a fuzzy hybrid multi-criteria method that satisfactorily handles the imprecise nature associated with the information provided by Likert scales. Our results show how culture has a direct moderating effect on the degree of agreement that respondents have over the active role that IF can play, finding that English respondents agree more than Spanish and Arabs respondents. Similarly, our results also show that the knowledge of the Halal concept makes respondents agree more with the active role of Islamic finance. This study provides insights to the main stakeholders, and it can be strategically used to foster adequate synergy between Islamic Finance and the development of Halal tourist products as a way to specialize in a more sustainable tourism.

The media and election campaign managers conduct several polls in the days leading up to the presidential elections. These preelection polls have a different predictive capacity, despite the fact that under a Big Data approach, sources that indicate voting intention can be found. In this article, we propose a free method to anticipate the winner of the presidential election based on this approach. To demonstrate the predictive capacity of this method, we conducted the study for two countries: the United States of America and Canada. To this end, we analysed which candidate had the most Google searches in the months leading up to the polling day. In this article, we have taken into account the past four elections in the United States and the past five in Canada, since Google first published its search statistics in 2004. The results show that this method has predicted the real winner in all the elections held since 2004 and highlights that it is necessary to monitor the next elections for the presidency of the United States in November 2020 and to have more accurate information on the future results.

This research aims to determine the effect of corporate social responsibility (CSR) disclosure on the firm performance (FP) of Spanish‐listed companies considering the mediation produced by the economic dimension. Using their sustainability reports, partial least squares structural equation modeling is employed for a content analysis. This study provides evidence on the mediating role of the disclosure of economic dimension practices and the intensity shown in the relationships between social and environmental dimensions and FP, allowing for a deeper understanding of the relationships between the various CSR dimensions. Findings show that the disclosure of social and environmental actions, aligned with appropriate standards in the economic dimension, can lead to an improvement in the FP of the company.