Purpose The purpose of this paper is to investigate the mediator role that knowledge sharing plays between organisational culture, organisational structure, and technology infrastructure and process improvement in a knowledge management context in manufacturing enterprises operating in the food, beverage and textile industry. Design/methodology/approach An empirical study is conducted with a sample of 200 food, beverage and textile companies. Data are obtained by means of a survey questionnaire applied to general managers in each of the sample firms. The impact of the factors organisational culture, organisational structure and technology infrastructure on process improvement via knowledge sharing is assessed. Structural equation modelling and maximum likelihood estimation are applied to find the direction and strength of the relationships. Findings The main findings indicate the significant relationships between knowledge sharing and process improvement, between organisational culture and knowledge sharing, and between organisational structure and knowledge sharing. The relationship between technology infrastructure and knowledge sharing is found not to be significant. Research limitations/implications The findings of the present study are limited to the food, beverage and textile industry. Future research could incorporate data from other manufacturing sectors or service companies. Practical implications This study provides practical guidance for general managers who wish to implement process improvement programmes. Originality/value Several authors have noted that there are few research studies concerning the interaction between each phase of knowledge management and total quality management practices. This study is interested in knowledge sharing and its impact on process improvement in a knowledge management context.

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* Autor a quien debe ser dirigida la correspondencia.Recibido Mar. 14, 2017; Aceptado May. 16, 2017; Versión final Jul. 5, 2017, Publicado Feb. 2018 Resumen La presente investigación estudia la relación entre los diversos atributos que explican la satisfacción percibida por el turista y su influencia en la intención de repetir la visita turística al Cantón Playas, Ecuador. En el estudio se consideran algunas características socio-demográficas de los encuestados tales como estado civil, edad, ingreso mensual, ciudad de origen y el hecho de viajar solo o acompañado. Se aplicó una encuesta a una muestra final de 556 turistas en dos instancias de feriados locales. Se utilizó un análisis de regresión logística binaria como herramienta para determinar la probabilidad de repetir la visita turística. Los principales resultados del modelo evidenciaron que las variables socio-demográficas nivel de educación, ciudad de origen y viajar acompañado, así como atributos relacionados a la variedad de la oferta turística, precio, clima y los canales de distribución son estadísticamente significativos. En otras palabras, aquellos que respondieron positivamente a los cuatro atributos, tienen un alto grado de estudio, viven en zonas aledañas y viajan acompañados y tienen mayores probabilidades de repetir la visita al cantón Playas. Palabras clave: satisfacción turística; repetición de visita; regresión logística binaria; atributos turísticos. Level of Satisfaction and Intention of Repeating the Touristic Visit. The Case of Canton Playas, in Ecuador AbstractThis work studies the relationship between various attributes that may explain the perceived satisfaction of tourists and their influence on the intention of repeating the visit to the Cantón Playas, Ecuador. The study considers some socio-demographic characteristics of the respondents such as marital status, age, monthly income, city of origin and whether they travel alone or accompanied. A survey was applied to a final sample of 556 tourists in two periods of local holidays. A binary logistic regression analysis was used as a tool to determine the likelihood of repeating the visit. The main results of the model showed that the sociodemographic variables level of education, city of origin and accompanied traveling, as well as attributes related to the variety of the touristic offer, price, climate and distribution channels are statistically significant. In other words, those who responded positively to the four attributes have a high level of education, live in surrounding areas and travel accompanied, are more likely to repeat the visit to Playas.