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Purpose This study aims to examine variables influencing resort hotels’ survival in Spain, which had not previously been analysed. In this country, determining whether the reasons resort hotels close are different from other hotels could be imperative to resort hotels’ survival. Design/methodology/approach The survival analysis used Cox’s semi-parametric proportional hazards regression to determine which variables influence hotel closure and how much each variable increases risk of closure. Findings Resort hotel closure depends on hotel size, location, executive management and the business cycle. Survival is not affected by hotel type or financial structure. Research limitations/implications While this methodology is common in business survival analyses, it has seldom been applied to hotels and has never been used to study the survival of resort hotels. Practical implications Companies need to rethink the location of new hotels. For already-built facilities, good management practices are strategically important for resort hotels’ survival. Originality/value This paper explores the reasons why resort hotels survive. The study’s selection of variables and methodology and its conclusions are unique.

This article has attempted to provide empirical evidence of the relationships between two groups of perceived destination image attributes, tourist satisfaction and tourist loyalty. In order to explore these relationships, two groups of destination image attributes perceived in situ have been studied: "hard ware" and "human ware" attributes of a south Spain destination. A theoretical model is tested on a sample of tourists using structural equations modeling. A positive relationship is detected between the variables. From a practical point of view, recommendations were made on the importance of destination image attributes such us "hard ware attributes" and "human ware attributes" that generate favorable word-of-mouth recommendations and revisit intentions.Keywords: Perceived destination image, customer satisfaction, destination loyalty, corporate image, tourism. ResumenEl presente estudio trata de explorar las relaciones entre los atributos percibidos del destino turístico, y las variables satisfacción y lealtad. Con el fin estudiar dichas relaciones dos grupos de atributos percibidos in situ en relación a la imagen del destino se han analizado ("hard ware" y "human ware"). El modelo de ecuaciones estructurales es probado en una muestra de turistas de un destino del sur de España, detectándose relación positiva entre las variables. Recomendaciones sobre la importancia de la gestión de los atributos del destino e implicaciones para el sector se comentan en las conclusiones.Palabras clave: Imagen del destino, satisfacción, lealtad, turismo, atributos del destino.

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PurposeThe purpose of this research is to identify the main authors, the main influential universities doing research on entrepreneurial intentions (EIs), the main subject areas and the main productive academic journals on this topic. This paper also aims to shed light on the current knowledge and contributions to the field, in particular co-authorships, co-words, research topics and cluster of themes.Design/methodology/approachThe methodology is based on bibliometric techniques using mapping and clustering. The study has been conducted on 377 articles published in journals indexed in the Scopus database for a period of almost 24 years, that is, from 1 January 1993 to 8 July 2016. VOSviewer software was used to conduct the analysis.FindingsFindings highlight the top authors, the ranking of the main journals and universities doing research in the field of EIs. Another relevant contribution is the identification and classification of main research streams and gaps that have been highlighted.Originality/valueThis paper is an attempt to clarify the state of the research study and to analyse the progress of the studies on EIs and to elaborate bibliometric studies that help to give some order to the variety of sources. This is helpful for new researchers approaching EIs for the first time and also for those who are familiar with the field.

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This study sought to develop a model that can predict banks’ profitability and help the corporate governing bodies of financial institutions to define strategies that address possible adverse scenarios. The partial least squares approach to structural equation model (SEM) was used to process data on the 100 largest banks in the world by volume of assets, between 2011 and 2015, as well as macroeconomic variables of the countries in which the banks were headquartered. A model able to predict the banks’ profitability was created using the latent variables of capital adequacy, operations, asset quality, size, and profile of the countries in which the banks were based. The model also relied on indicators of these concepts, namely, 30 accounting, financial, and economic ratios. The results have important practical implications since they enable banks’ corporate governing bodies to make decisions on issues such as size, location, or solvency and facilitate predictions of banks’ profitability. In addition, the approach applied (i.e., SEM analysis) contributes to improving the methodology used in studies of the banking sector as a result of the information that the proposed model provides.