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.

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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Purpose This study aims to demonstrate the application of computer-aided text analysis (CATA) software in identifying primary associations and impressions of a specified tourist destination. Design/methodology/approach The Leximancer software is applied on primary information to analyze the concepts evoked by a destination. Because no specific planning has been done for destination image marketing strategies for rural tourism in Andalusia, this study visualizes and determines clusters of the main attributes associated with this destination. Findings The analysis identifies the main clusters among associations and impressions of the destination that can be useful in developing strategies. Research limitations/implications Only a target segment is studied, with a relatively small sample size. Practical implications Leximancer can not only be applied to online user-generated content, but primary information can also be mapped to generate a holistic destination image. Furthermore, identification of the relevant attributes and impressions can serve to identify unique assets to help tourism organizations develop a destination. Social implications Several implications concerning destination marketing are outlined. Originality/value Although previous studies have applied Leximancer and other CATA software, the present research uses a new approach. Deriving the primary information on destination image using an unstructured methodology, the concepts evoked by a destination are mapped. Because there is a lack of research on rural tourism in Andalusia and its destination image, its associated attributes are studied.

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