University of Rijeka

About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.

RoboNet-II: Follow-up observations of microlensing events with a robotic network of telescopes

Abstract: RoboNet-II uses a global network of robotic telescopes to perform follow-up observations of microlensing events in the Galactic Bulge. The current network consists of three 2m telescopes located in Hawaii and Australia (owned by Las Cumbres Observatory) and the Canary Islands (owned by Liverpool John Moores University). In future years the network will be expanded by deploying clusters of 1m telescopes in other suitable locations. A principal scientific aim of the RoboNet-II project is the detection of cool extra-solar planets by the method of gravitational microlensing. These detections will provide crucial constraints to models of planetary formation and orbital migration. RoboNet-II acts in coordination with the PLANET microlensing follow-up network and uses an optimization algorithm ("web-PLOP") to select the targets and a distributed scheduling paradigm (eSTAR) to execute the observations. Continuous automated assessment of the observations and anomaly detection is provided by the ARTEMiS system.

Exploring the Relationship between Service Quality and Customer Satisfaction in Croatian Hotel Industry

Abstract: Purpose – The purpose of the present study was to examine the relationship between service quality and customer satisfaction. The main objective was to discuss the impact of perceived service quality dimensions on customer satisfaction in the hotel industry in Croatia. Methodology – The data were collected us in self-administered questionnaire. The questionnaire consisted of three parts. First, perceived service quality was measured using modified SERVQUAL model. Second, customer satisfaction was operationalized with one variable, representing overall satisfaction measure. Third, demographic variables were included. Questionnaires were distributed to domestic and international hotel guests in the Opatija Riviera (Croatia). Descriptive analysis, factor analysis, reliability analysis, correlation analysis, and multiple regression analysis were performed to analyze the data. Findings – Factor analysis identified four dimensions of perceived service quality, namely reliability, empathy and competence of staff, accessibility and tangibles. Multiple regression analysis showed that reliability, accessibility and tangibles had a significant and positive effect on overall customer satisfaction. On the other hand, empathy and competence of staff positively influenced hotel guests’ satisfaction, but this impact was not statistically significant when other dimensions were involved. These results indicate that hotel service quality is indeed a significant predictor of customer satisfaction. Thus, improving hotel service quality, results with higher satisfaction levels of hotel guests. Value/Originality – The present study focuses on determining relative importance of perceived hotel service quality dimensions in relation to customer satisfaction, reporting the findings from Croatia. Therefore, it contributes to the existing literature on service quality and customer satisfaction relationship in hotel industry.