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Capturing and retaining tourists are the main driving forces behind tourism marketing research. Nevertheless, research on how to retain tourists and why they persist in repeating the same destination is not consensual. Following the early work of Ehrenberg and the recency–frequency–monetary value paradigm, this study applies a Poisson distribution model to estimate the past frequency of revisiting Portugal based on information collected from international repeat visitors surveyed at all airports of Portugal in 2012. Results from estimating the model show mixed effects for recency, country of origin and destination region. Recommendation behaviour could not be identified as an explanatory variable for past visitation frequency.

Quality Management and Employees' Attitudes: An Example from Certified EnterprisesThis study investigates the implications of practices of the quality management system (QMS) in employees' attitudes in relation to job involvement, job satisfaction, career satisfaction and organizational commitment. This study was accomplished through the use of a survey by questionnaire. Twenty hypotheses related to QMS practices and the employees´ attitudes were formulated and tested.The results indicate that responsibility and teamwork have a significant and positive correlation with job involvement, job satisfaction, career satisfaction, as well as organizational commitment. Ongoing improvement and problem solving have significant implications in organizational commitment. In addition, training and education, as well as customer focus, did not demonstrate any favorable contribution to the employees' attitudes.In practical terms, the study recommends that management be more committed to the development of quality practices as a means to sustain and enhance employees' positive attitudes towards their job. Such practices are a competitive strategy to attract and retain competent employees.

Previous covering models for emergency service consider all the calls to be of the same importance and impose the same waiting time constraints independently of the service's priority. This type of constraint is clearly inappropriate in many contexts. For example, in urban medical emergency services, calls that involve danger to human life deserve higher priority over calls for more routine incidents. A realistic model in such a context should allow prioritizing the calls for service. In this paper a covering model which considers different priority levels is formulated and solved. The model heritages its formulation from previous research on Maximum Coverage Models and incorporates results from Queuing Theory, in particular Priority Queuing. The additional complexity incorporated in the model justifies the use of a heuristic procedure.