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The first of two articles on the effective planning and organisation of courses in industry. Next month Mr Luce discusses the merits and demerits of the lecture and the discussion

Travel counseling and recommender systems on the Internet have not yet become smart enough to fulfill the elementary functions a fastidious consumer may expect. The EU‐funded project named DieToRecs (http://dietorecs.itc.it/) aims at improving recommender system functionality by incorporating relevant findings from tourist behavior research. The computational intelligence needed to optimize the user‐system encounter greatly depends on how far the user has advanced in his travel decision process. This report elaborates the levels of counseling intelligence, explores the basic marketing paradigm of matching the products/services desired and offered, and ponders on the consequences for devising a recommender or counseling system capable of learning.

Last month the important preliminaries to organising courses in industry were discussed: the objectives, time‐tabling, choice of speakers and organisation of facilities. How the subject matter itself is presented is dealt with in this second half of the article, with special reference to two principal methods used in adult training and education — the lecture and the discussion. Visual aids are also referred to, but not projects, which usually include lectures, discussion and, of course, practical work

This study aims to offer a conceptual framework that elaborates on how tourists’ perception of contradictory features in reviews’ factuality and comprehension – within a single hotel review and across multiple hotel reviews – trigger attitude ambivalence and psychological discomfort, which determine their behaviors – choice deferral and hotel booking intentions. It also investigates the moderating role of anticipated conflicting reactions (ACRs) through contradictory features on consumers’ attitude ambivalence.

Using a Chinese setting, researchers collected data from 524 inbound tourists who were the consumers of hotels in Beijing. The study used IBM Amos 23.0 to test measurement and structural models for the proposed relationships. It also used PROCESS macro 3.4 for the moderation analysis.

The findings reveal a positive association between contradictory features in reviews and the resulting ambivalence that affects consumers’ discomfort and leads to the decision to defer the choice of hotel. Conversely, consumers’ discomfort has a positive impact on the hotel booking intentions. ACRs have positive moderating effects on the associations between contradictory features and consumers’ attitude ambivalence.

By investigating the contradictory features in hotel reviews, this study extends the body of research on dual information processing (i.e. the heuristic–systematic model) and the literature on service management, psychological behaviors, travel intermediaries and hotel firms. Future research directions are recommended for tourism and hospitality researchers.

This chapter examines the role of pharmaceutical patents in the on-going support of pharmaceutical innovation. The social value of pharmaceutical innovation and the importance of its sustained growth are explained. The government buy-outs of patents to reduce drug prices for all American consumers while preserving vital drug innovation are proposed.

This chapter addresses one aspect of the broad issue of the psychological foundations of the dimensions of multidimensional scaling (MDS) solutions. Using empirical data from three independent studies, it is shown that the dimensionality of MDS solutions is negatively related to individual differences in the level of cognitive differentiation and integrative complexity of individuals and positively related to the individual's ability to discriminate within dimensions. MDS dimensionality is also shown to be affected by a variety of task-related variables such as perceived task difficulty, consistency in providing similarity judgments, confidence, familiarity, and importance attached to the stimuli. The chapter concludes by raising the issue of whether MDS can be validly used to describe complex cognitive processes.

We build three stochastic models of garbage can processes in an organization populated by boundedly rational agents. Although short-run behavior in our models can be quite chaotic, they generate systematic, testable predictions about patterns of organizational choice. These predictions are determined, in fairly intuitive ways, by the degree of preference conflict among agents in the organization, by their patterns of attention, and by their tendencies to make errors. We also show that nontrivial temporal orders can arise endogenously in one of our models, but only when some form of intentional order, based on agents’ preferences, is also present.

This article addresses purchasing decisions and the use of total cost of ownership (TCO) information. TCO is based on a monetary quantification of nonfinancial attributes and aggregation into a summary measure (such as cost per hour, per wafer, or per kilometer). From an accounting point-of-view, one intricate issue is the accuracy of the monetary quantification and how this affects decision-making. We distinguish three different kinds of inaccurate monetary quantification, and we investigate the weight that decision makers attach to attributes that are inaccurately monetarily quantified and subsequently included in TCO information. Specifically, we investigate whether this weight depends on reflective thinking and experience. This question is relevant beyond TCO, for all decision-making situations that involve monetary quantification of attributes and subsequent aggregation, such as in activity-based costing, net present value calculations for capital budgeting decisions, or cost-benefit analyses in public administration.

We found support for the hypothesis that reflective thinking increases the weight decision makers attach to the attribute that is included as a minimum cost in the TCO-numbers, but not for the hypothesis that reflective thinking would reduce the weight attached to the attribute that is included as a maximum cost in the TCO-numbers. Students and practitioners differed significantly in the weight they attached to an attribute that was excluded from the TCO-numbers, and practitioners gave less weight to such attributes. Together these results suggest that TCO-numbers should be provided with care and possible inaccuracies should be clarified.