Mix,match & move: Shaping the future of tourism Asia pacific tourism association seventh annual conference Manila,the Philippines, 2001

This research investigates the psychological turnover theory, which is developed based on the Mobley's model, and compares the hotel employees of two culturally different countries: U.S.A. and South Korea. It takes the controversy of transferability of management theories in different cultures into consideration. This study also compares the influencing factors in the particular behavior between the two groups. For both samples, the path analyses using a series of multiple regression analyses have shown the existence of a particular linkage among the four psychological construct variables studied: job satisfaction, organizational commitment, thinking of quitting, and withdrawal intentions, thus supporting the model. Given the possible problems of collinearity between the predicting variables and thereby instability of the regression coefficients, stepwise regression analyses have been employed to serve the second objective of this study, resulting in significant differences between the two samples. In addition, a dummy variable has been created to examine the role of nationality in predicting the turnover behavior, with the nationality turning out to be an important predictor, however, its influence is indirect through organizational or psychological factors.     

Relationships of Perceived Justice to Service Recovery,Service Failure Attributions,Recovery Satisfaction,and Loyalty in the Context of Airline Travelers

In recent years, hospitality and tourism researchers have presented their findings of many studies on website performance and evaluations. Although these prior studies have achieved a certain degree of success for assisting industrial practitioners to develop and maintain their websites, it remains largely unknown how consumers find a specific travel or hotel website. This paper reports a study that investigated the perceived importance of different channels for finding travel or hotel websites from an international travelers' perspective. Empirical results from 153 travel or hotel website users indicated that the Google search engine was the only channel that was perceived as important, and 47.4% of the respondents viewed up to three screens in the list of search results when using search engines. The paper should be of interest to industrial practitioners and academic researchers to understand better the behavior of users of travel and hotel websites during their website search procedure.     

The internet and tourism‐part IV: TravelWeb

Abstract

The sporadic domestic political instability during the last decade, compounded with the ongoing international war on terrorism in Afghanistan and beyond, has created a substantial decline in tourist visits to Nepal. Safety and security are important aspects of travel destination choice and the perceived risk within Nepal and the South Asian region has mired the pace of international tourist arrivals. The objectives of this paper were to examine the state of tourism in Nepal and the negative repercussions of the political instability and international conflict that has thwarted the potential for growth.     

Retirement Choices in Italy: What an Option Value Model Tells Us*

Using Italian data, we estimate an option value model to quantify the effect of financial incentives on retirement choices. As far as we know, this is the first empirical study to estimate the conditional multiple‐years model put forward by Stock and Wise (1990) . This implies that we account for dynamic self‐selection bias. We also present an extended version of this model in which the marginal value of leisure is random. For the female sample, the model is able to predict almost perfectly the age‐specific hazard rates. For the male sample, we obtain a good fit. Dynamic self‐selection results in a downward bias in the estimate of the marginal utility of leisure. We perform a simulation study to gauge the effects of a dramatic pension reform. Underestimation of the value of leisure translates into sizeable over‐prediction of the impact of reform. Due to lack of data, results for males should be interpreted with caution since we are not able to fully correct for dynamic self‐selection bias.     

Lifestyle segmentation and museum/gallery visiting behaviour

A number of variables have been used in the quest to understand better who visits museums and art galleries. This paper proposes the use of lifestyle segmentation in an attempt to understand how museum and art gallery visits fit in with other aspects of the visitors' life. Research to date has tended to focus on those who actually visit, but little has been done to enhance an understanding of non‐visitors. Lifestyle studies, undertaken across a representative sample of a population, offer the potential to understand not only those who visit, but also those who do not. Seven segments result from this lifestyle analysis of New Zealanders, with a significant relationship evident between lifestyle grouping and frequency of visits to museums and art galleries. As each of these lifestyle segments also demonstrates significantly different media characteristics, there are important implications for the placement and tone of promotional messages. Copyright © 2001 Henry Stewart Publications     

The State of Resource Taxation in Australia: ‘An Inexcusable Folly for the Nation’?

This article discusses the principal claims made for the Resource Rent Tax (RRT) by Garnaut and Clunies-Ross (1975, 1979) relating to its efficiency and potential for generating tax revenue relative to other forms of resource taxation, and also their concern about the greater uncertainty of these revenues. An analysis of the risk-return trade-off associated with a shift from ad valorem royalties to an RRT finds this shift to be worthwhile. Estimates are also provided of the foregone tax revenue from the North West Shelf associated with the use of ad valorem royalties rather than the RRT.     

Modern Strategies for Time Series Regression

This paper discusses several modern approaches to regression analysis involving time series data where some of the predictor variables are also indexed by time. We discuss classical statistical approaches as well as methods that have been proposed recently in the machine learning literature. The approaches are compared and contrasted, and it will be seen that there are advantages and disadvantages to most currently available approaches. There is ample room for methodological developments in this area. The work is motivated by an application involving the prediction of water levels as a function of rainfall and other climate variables in an aquifer in eastern Australia.