passive drinking

The threat to health from passive smoking is now well understood. Andrew Wilson, a freelance healthcare journalist, reveals the alarming results of recent research into ‘passive drinking’. Without wishing to cause alarm Economic Affairs wonders how seriously we should treat these new findings?     

Management and the Professions: How Cracked is That Glass Ceiling?

All prestigious or highly-paid occupations in Britain are dominated by men: this is as true of the public sector as it is of industry. This article examines the evidence for discrimination in the public sector. It deals with both the situation at work and the one at home. It looks at various explanations as to why this is the case, as well as the evidence on how men and women deal with the inequality. The author concludes that there are good reasons why men and women do not see or confront the issues discussed in her article. Unless men and women wake up to the fact that we live in an unequal society and wish to see the glass ceiling well and truly broken, little is likely to change.     

Multi-Dimensional Procurement Auctions for Power Reserves: Robust Incentive-Compatible Scoring and Settlement Rules

System operators in the electricity industry purchase reserve capacity in a procurement auction in which suppliers offer two-part bids, one part for making capacity available and another part for supplying incremental energy when called. Key ingredients of an efficient auction design are the scoring rule for comparing bids, and the settlement rule for paying accepted bids. We use the principle of incentive compatibility to establish that very simple rules suffice. In particular, the scoring rule uses only the capacity part of the bid, and energy supplies are paid the spot price. This is the design adopted in California.     

A contrast analysis of online hotel web service purchasers and browsers

Ever since the introduction of Internet technology to general business, websites have played an important role in the business and promotional efforts of hotels. However, the existing tourism and hospitality literature contains only a limited number of articles that examine the perceived importance of the different attributes of a hotel website. This paper reports a study that analyzed the different perceptions of specific hotel website attributes between online purchasers and browsers and between Western and Asian users. The empirical findings reveal a set of attributes that are the most important in developing effective hotel websites. The findings also indicate the necessity of designing English- and Chinese-language hotel websites differently, based on the significant differences in the responses obtained from these two groups of online users.     

mLearning as a softer visitor management approach for sustainable tourism

With increased visitation to protected natural areas over the last four decades, there is a need for implementation of effective visitor management strategies at these sites to mitigate visitor impacts. This study explores the application of mobile learning (mLearning) in environmental interpretation and visitor education within the context of conservation and sustainable tourism. Specifically, it proposes a conceptual framework for mLearning as a visitor management tool for sustainable tourism. Current developments and innovations in mobile broadband networks, smartphone technology, and mobile software applications present opportunities for the utilization of such mobile-driven applications in interpretive programs to encourage free-choice learning and mindful visitor experiences. If effectively implemented, such interpretive programs and mLearning applications can affect visitor perceptions, attitudes, and future intentions toward conservation and environmental protection.     

Examining the efficacy of self-classification approach in segmenting special-interest tourists: food tourism case

Self-classification is used as an a priori approach to tourist typology and market segmentation. However, skepticism still surrounds its ability to incorporate the multidimensionality of tourist behavior. This study seeks to empirically verify the efficacy of a single-item self-classification approach. The robustness of this self-classification measure is examined by comparing it to a data-driven multidimensional psychographic approach in terms of its ability to predict the behaviors of tourists toward food-related destination consumption. Results suggest that the single-item self-classification approach performs equally well as the psychographic approach in segmenting food-related consumption behaviors. The implications and limitations of this study are also discussed.     

A fuzzy comprehensive evaluation algorithm for analyzing electronic word-of-mouth

This study evaluates tourism experiences shared through electronic word-of-mouth (eWOM) across four Chinese attractions. The objective is to develop a framework for evaluating eWOM by constructing an indicator system and implementing an analytic hierarchy process with the use of a fuzzy comprehensive evaluation algorithm. This framework is achieved by mapping more than 6000 websites related to Chinese tourism attractions and filtering over 200,000 useful reviews to measure service performance. Results indicate that ecological–biological attractions failed to make tourists feel “very satisfied” in various aspects, such as overall evaluation, infrastructure, traffic, natural environment, and social environment. Overall, the study contributes by presenting a framework that can be adopted by tourism researchers and industry practitioners to understand tourist preferences and evaluate service performance to improve service quality.     

Identifying changes and trends in Hong Kong outbound tourism

Despite the numerous research endeavors aimed at investigating tourists’ preferences and motivations, it remains very difficult for practitioners to utilize the results of traditional association rule mining methods in tourism management. This research presents a new approach that extends the capability of the association rules technique to contrast targeted association rules with the aim of capturing the changes and trends in outbound tourism. Using datasets collected from five large-scale domestic tourism surveys of Hong Kong residents on outbound pleasure travel, both positive and negative contrasts are identified, thus enabling practitioners and policymakers to make appropriate decisions and develop more appropriate tourism products.