Purpose -Despite the proliferation of the governance concept in the broader academic literature, there is little agreement on definitions, scope and what actually constitutes governance. This is arguably due to the fact that empirical research on the topic, with some exceptions, is generally limited to case studies without use of any common conceptual framework. This is certainly the case in other fields of study and is becoming increasingly obvious in tourism research also. Therefore, the purpose of the paper is to explore and synthesize the governance literature with the objective of identifying the key elements and dimensions of governance.Design/methodology/approach -Drawing on the two ''parent'' bodies of literature originating in the political sciences and corporate management fields of study, the paper provides a review and synthesis of the governance concept with the objective of identifying the primary elements and factors that have been employed in studies of governance to date.Findings -A review of 53 published governance studies identified 40 separate dimensions of governance. From this review, the six most frequently included governance dimensions were: accountability, transparency, involvement, structure, effectiveness and power.Originality/value -A synthesis of the governance literature has not been undertaken to date, either in the tourism literature or in other fields of study, and in doing so the authors provide a basis for tourism researchers to draw on a set of comparable conceptual dimensions in future research. Comparable dimensions which can be replicated and tested in empirical research will add additional depth and rigor to studies in this field.

Tourism segmentation research has focused on (1) developing tourist segment profiles using primary and secondary tourist data and (2) understanding which segmentation bases can accurately predict future tourist behaviour. Researchers have not considered how tourism stakeholders are segmenting their tourist markets. This paper presents evidence to suggest that the use of combined segmentation variables to develop tourism profiles is warranted and that a 'one size fits all' approach is not suitable because different tourism stakeholders within a single destination attract different tourists.Furthermore, this research identified that the segments used by the destination marketing organisation failed to holistically describe the tourist groups using the different services provided by tourism stakeholders within a single destination.Destination marketing is complex involving many stakeholders each likely to be attracting different tourist segments and future research endeavours must acknowledge this complexity.

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to: first, illustrate how market segmentation using two-step cluster analysis can be used to identify segments in the context of physical activity; second, identified segments are used to offer practical implications for social marketers working in the area of physical activity. Design/methodology/approach -A total of 1,459 respondents residing within 20 kilometres of the Melbourne Central Business District participated in an online survey. The questions in the survey included items relating to respondents' health perceptions, health knowledge, attitudes, intentions to start a new physical activity, demographics, place of residence and self-reported physical activity. Two-step cluster analysis using the log-likelihood measure was used to reveal natural groupings in the data set. Findings -This research has identified four distinctive segments in the context of physical activity, namely: Young Disinteresteds, Successful Enthusiasts, Vulnerables and Happy Retirees.Research limitations/implications -The study was conducted in March and some sports were not in season at the time of the study, therefore future research should extend the current sample to take seasonality and geography into account and to ensure the clusters are fully representative of the Australian population. Originality/value -This paper contributes to the literature by outlining a two-step cluster analytic approach to segmentation that can be used by social marketers to identify valuable segments when developing social marketing programmes.

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