High level of visitor satisfaction is an important signal of sustained success for tourism destinations. The primary goal of this research study is to identify differences in reported visitor satisfaction that do not accurately reflect differences in the delivery of satisfaction by destinations. Our aim is to reveal the influence of factors, such as weather conditions, that may distort comparisons of tourism destinations when measuring visitors’ satisfaction with their stays. We used a generalized linear model (GLM) to estimate reported satisfaction as a function of various factors, with weather included as a factor. The analysis shows that weather as well as the other extraneous factors play an important role in measuring visitors’ satisfaction. The results suggest that when comparing the relative success of various tourism destinations, adjustments in destination benchmarking are necessary to avoid arbitrary bias caused by differences in the timing and conditions of visitor data collection.
The article aims to improve existing theories of business development and crisis management with a special emphasis on inner dynamics of crises in small and medium enterprises (S.M.E.s). For these purposes, combined perspectives of system dynamics, company life cycles, crisis management, resilience and business continuity management in S.M.E.s have been used. Based on data of about 554 crises from 183 companies collected in the Czech Republic, the most common crises types and their combinations have been identified using association rules mining method. Then, a simulation system dynamics model synthesizing the main findings and allowing scenario analysis to explain and avoid some of the crises in S.M.E.s has been developed for a case study of manufacturing company. Such a simulation model enriches the present knowledge and explains complex dynamics of crises in S.M.E.s in a novel way. When properly calibrated, this model could be used as a supporting tool for decision-making in manufacturing S.M.E.s.
High level of satisfaction of tourists is one of the most common goals of sustainable tourism destinations. The general assumption is that higher level of tourists' satisfaction leads to a higher tourists' loyalty to destinations. This research looks on this relationship from macro level of European Union (EU) countries. We have used data from Eurobarometer-Preferences of Europeans towards Tourism between 2013 and 2016to statistically compare and analyse several satisfaction indicators of European tourists incoming the chosen EU countries. The results show significant differences amongst countries as destinations and could be used to identify strengths and weaknesses of EU countries as tourism destinations. The robust data set enables the benchmarking of EU countries as tourism destinations from the tourists' satisfaction point of view. This study shows the ranking of the EU countries in several dimensions of tourists' satisfaction.
Abstract:The main goal of this study is to answer a question whether the just noticeable difference (JND) related marketing practices could survive in the world with social media and as a part of online marketing. Although the findings are limited, they suggest that using of such practices might be much riskier than it used to be before and marketers should be aware of that and consider their using more thoroughly. It also shows that usage of the agent based modelling (ABM) can be helpful in dealing with problems like this one and can provide further insight into dynamics of processes on consumer markets where the social media play crucial role in spreading of information.
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