Spiritual Functions of Leisure and Spiritual Well-Being: Coping with Time Pressure

The purpose of this study was to develop a model of leisure style and spiritual well-being relationships, and the processes (spiritual functions of leisure) by which leisure can influence spiritual well-being. Also, the role of leisure in ameliorating the effects of time pressure on spiritual well-being was examined. Structural equation modeling using AMOS was employed to test direct and indirect effects models of the relationships among components of leisure style (leisure activity participation, leisure motivation, and leisure time), spiritual functions of leisure (sacrilization, repression avoidance, sense of place) and spiritual well-being (both behavioral and subjective). The model developed suggests that some components of people's leisure styles lead to certain behaviors and experiences (spiritual functions of leisure) that maintain or enhance spiritual well-being. These spiritual functions of leisure may also serve as coping strategies to ameliorate the negative influence of time pressure on spiritual well-being.     

Understanding tourist space at a historic site through space syntax analysis: The case of Gulangyu,China

Although tourist development appears to be an effective approach for the further development of historic towns, researchers have often contended that a balance is difficult to maintain between protection and development. This article applies space syntax analysis to provide an understanding of tourist space at historic sites on Gulangyu Island. The relationship between street network integration and the urban fabric as well as tourist preferences collated from data mining are explored and verified. Then, results of the space syntax analysis along with the proposed historic site plan are compared to provide suggestions in plan evaluation. This research provides a visualized and quantitative approach to the field of tourist management via the application of Geographic Information System (GIS) to urban morphological features, tourist preferences and results gathered by way of planning practice. The effectiveness and limitations of this proposed new approach are also debated and substantiated.     

Do perceptions of time affect outbound-travel motivations and intention? An investigation among Chinese seniors

How people conceptualise time can play a critical role in their travel intention. However, relatively little research attention has been directed to the links between time perspective, outbound-travel motivation and outbound-travel intention. In this study, survey data from a sample of Chinese seniors were analysed to test hypotheses regarding these links. The results showed that present-time perspective and future-time perspective were directly related to travel motivation, and that the associations between present and future perspectives and travel intention were fully mediated by travel motivation. These findings not only highlight the relevance of time-perspective styles to travel research, but also have specific implications for tourism-destination marketers with senior audiences.     

Modifying and applying time and cost blocks: The case of E-Da theme park,Kaohsiung, Taiwan

The main purpose of this study is to modify and apply a management tool called time and cost blocks (TCB). The model was modified to adjust how the “benefit indicator” was measured and further enhanced by inclusion of visitor satisfaction scores and revisiting intention. Data collection was accomplished by means of a diary-type semi-structured questionnaire, which was administered in face-to-face interviews with 655 visitors of the E-Da World theme park in Kaohsiung, Taiwan. The results indicate that participation intensity (PI) and benefit indicator (BI) have a significant relationship with satisfaction and revisiting intention.     

Forecasting accuracy evaluation of tourist arrivals

This paper evaluates the use of several parametric and nonparametric forecasting techniques for predicting tourism demand in selected European countries. We find that no single model can provide the best forecasts for any of the countries in the short-, medium- and long-run. The results, which are tested for statistical significance, enable forecasters to choose the most suitable model (from those evaluated here) based on the country and horizon for forecasting tourism demand. Should a single model be of interest, then, across all selected countries and horizons the Recurrent Singular Spectrum Analysis model is found to be the most efficient based on lowest overall forecasting error. Neural Networks and ARFIMA are found to be the worst performing models.     

Random regret minimization for consumer choice modeling: Assessment of empirical evidence

This paper introduces to the field of marketing a regret-based discrete choice model for the analysis of multi-attribute consumer choices from multinomial choice sets. This random regret minimization (RRM) model, which has recently been introduced in the field of transport, forms a regret-based counterpart of the canonical random utility maximization (RUM) paradigm. This paper assesses empirical results based on 43 comparisons reported in peer-reviewed journal articles and book chapters, with the aim of finding out to what extent, when, and how RRM can form a viable addition to the consumer choice modeler's toolkit. The paper shows that RRM and hybrid RRM–RUM models outperform RUM counterparts in a majority of cases, in terms of model fit and predictive ability. Although differences in performance are quite small, the two paradigms often result in markedly different managerial implications due to considerable differences in, for example, market share forecasts.     

Going for gold: Investigating the (non)sense of increased advertising around major sports events

Major sports events draw unsurpassed media attention. Companies are motivated to increase their advertising investments around these events to reach large audiences in a short period. Is such an advertising surge actually beneficial though, or should companies avoid advertising in these periods because of negative effects of competitive interference? This study investigates when consumer packaged goods companies should invest in advertising to increase sales: before, during, or after the event or outside these event periods. The author estimates short- and long-term own- and cross-advertising elasticities for 206 brands using four years of weekly data. Although considerable heterogeneity exists across brands, own-advertising effectiveness diminishes especially before and during major sports events, in both the short and the long run. In addition, brands benefit less from category-demand effects through competitors' advertising. Conversely, greater increases in advertising spending resulting in significant growth in share of voice around focused, single-sport events are a successful strategy to overcome this overall general negative trend.     

Sexual Selection and Economic Positioning

Synopsis In their recent survey of Darwinian aesthetics, Grammer et al. (2003) note the surprising lack of a connection between studies related to human beauty and the theory of sexual selection. Understanding this missing link sheds new light on recent research that indicates positional concerns Pingle & Mitchell 2002, Solnick & Hemenway 1998, are important factors in the decision-making process. Integrating the theory of sexual selection into the decision framework found in economics makes it possible to explain why individuals are potentially willing to accept less, as long as it places them in a superior position relative to others.     

Design of Digital Agricultural Extension Tools: Perspectives from Extension Agents in Nigeria

Given the marked heterogeneous conditions in smallholder agriculture in Sub-Saharan Africa, there is a growing policy interest in site-specific extension advice and the use of digital extension tools to provide site-specific information. Empirical ex-ante studies on the design of digital extension tools and their use are rare. Using data from a choice experiment in Nigeria, we elicit and analyze the preferences of extension agents for major design features of ICT-enabled decision support tools (DSTs) aimed at site-specific nutrient management extension advice. We estimate different models, including mixed logit, latent class and attribute non-attendance models. We find that extension agents are generally willing to use such DSTs and prefer a DST with a more user-friendly interface that requires less time to generate results. We also find that preferences are heterogeneous: some extension agents care more about the effectiveness-related features of DSTs, such as information accuracy and level of detail, while others prioritise practical features, such as tool platform, language and interface ease-of-use. Recognising and accommodating such preference differences may facilitate the adoption of DSTs by extension agents and thus enhance the scope for such tools to impact the agricultural production decisions of farmers.     

A management orientated approach to combination forecasting of tourism demand

Volatility, exponential smoothing, regression and Naïve 2 models are considered singly and in combination in terms of forecasting demand for international tourism. These models generate accurate predictions of tourism flows, but their prime utility is when combined with other models. Usually, models are combined by means of purely statistical criteria. We show that goal programming (GP) offers an alternative, flexible approach to model combination. GP offers planners a practical solution to tourism forecasting problems, since the method is more adaptable than conventional minimisation of prediction error, by permitting practitioners to prioritise a series of management related goals. Forecasters can focus on longer- and short-term goals, minimising forecast under- and over-estimation and/or concentrate on prediction errors in tourism flows at various times of the year.