Encouraging pro-environmental behaviour: the role of sustainability-focused events

Tourism is a potential setting for encouraging sustainable behaviour. One popular mechanism is to stage events with a sustainability focus, aimed at fostering behaviour change amongst attendees. This paper reports on a study of a sustainability-focused event in Australia. The Transtheoretical Model (TTM) was used to explore if and how this event could potentially promote pro-environmental behaviour change amongst attendees. TTM provides a five-stage framework, linked to a series of 10 processes of change, with both attitudinal and behavioural dimensions. The stages comprise pre-contemplation, contemplation, preparation, action and maintenance. Findings suggest that this event attracts individuals already significantly committed to sustainable behaviour who are using the event as a source of encouragement and positive feedback for their lifestyle choices. They are not the audience that the organisers need to reach in order to achieve their aim of behaviour change on a broader scale. This event did, however, support the processes of change, particularly for those in the “action” and “maintenance” stages. This paper considers the implications of these findings and TTM as a research tool for the future promotion and marketing of these events to tourists, possible applications to tourism fairs and exhibitions, and to behavioural change in tourism generally.     

The Effectiveness of Post-Disaster Recovery Marketing Messages—The Case of the 2009 Australian Bushfires

An understanding of how best to communicate with the tourism market in the wake of a disastrous event is essential for destination marketing organizations seeking to manage the misperceptions and media-imposed attitudes held by potential visitors. To date, the literature remains silent in terms of the types of messages destination marketing organizations are best to employ when a disaster has hit and consequently marketers often take an “ad hoc” approach to their post-disaster communications that may or may not be effective in terms of encouraging visitation. In response to this knowledge gap, the research presented in this article adopted an experimental methodology to examine the effectiveness of nine disaster recovery message themes commonly used by destination marketing organizations. The messages were presented to respondents via a print advertisement promoting the Victorian region of Gippsland—a tourism region severely affected by the 2009 Black Saturday Bushfires. The results revealed that a marketing message endorsed by a well-known and well-associated celebrity figure is likely to be most effective in encouraging tourists to return to or visit a disaster-affected destination 12 to 24 months following the event. The findings also revealed a significant relationship between past visitation and the time frame in which visitors will visit a disaster-affected region. Those who had visited the region four times or more were much more likely to return within 6 months of the event than less frequent visitors. A final important message revealed in this study was the fact that the tourism market is not averse to disaster recovery promotional activities, a concern often considered by destination marketers when planning their post-disaster recovery campaigns.     

Inhabited Actors: Internalizing Institutions through Communication and Actorhood Models

We argue that accounts of relationships among actors, actorhood and institutions are predominantly based on a spatial metaphor of actors operating within institutions. We outline how an inversion of this metaphor – i.e., the perspective that institutions inhabit actors – may prove generative for theory, particularly with respect to recent discussions about the microfoundations of institutions. We outline how communication and actorhood models function as transmission mechanisms of institutions from one actor to another. We conclude with a discussion of how the inverted metaphor of institutions inhabiting actors can be useful for future theoretical developments.     

A minimum chi-squared method for indirect parameter estimation from Poisson data

In this paper, we introduce a new algorithm for estimating non-negative parameters from Poisson observations of a linear transformation of the parameters. The proposed objective function fits both a weighted least squares (WLS) and a minimum χ² estimation framework, and results in a convex optimization problem. Unlike conventional WLS methods, the weights do not need to be estimated from the datas, but are incorporated in the objective function. The iterative algorithm is derived from an alternating projection procedure in which "distance" is determined by the chi-squared test statistic, which is interpreted as a measure of the discrepancy between two distributions. This may be viewed as an alternative to the Kullback-Leibler divergence which corresponds to the maximum likelihood (ML) estimation. The algorithm is similar in form to, and shares many properties with, the expectation maximization algorithm for ML estimation. In particular, we show that every limit point of the algorithm is an estimator, and the sequence of projected (by the linear transformation into the data space) means converge. Despite the similarities, we show that the new estimators are quite distinct from ML estimators, and obtain conditions under which they are identical.