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In recent years, the use of structural equation modeling (SEM) has become widespread in tourism and hospitality research. Because there are two different approaches to SEM (i.e., covariance-based SEM and variance-based, partial least squares SEM), this brings challenges for researchers about which SEM to use and what to report in each SEM approach. Therefore, the purpose of this chapter is to discuss the differences between CB-SEM and PLS-SEM and to provide comprehensive guidelines for researchers on how to apply each SEM. Within this context, the authors first briefly summarize the fundamentals and advantages of using SEM. Then, the authors explain in detail the major issues that should be considered when selecting between CB-SEM and PLS-SEM. Finally, to ensure rigorous research practices, the authors provide step-by-step guidelines for the application of both CB-SEM and PLS-SEM.

The assumption that a set of observed variables is a function of an underlying common factor plus some error has dominated measurement in marketing and the social sciences in general for decades. This view of measurement comes with assumptions, which, however, are rarely discussed in research. In this article, we question the legitimacy of several of these assumptions, arguing that (1) the common factor model is rarely correct in the population, (2) the common factor does not correspond to the quantity the researcher intends to measure, and (3) the measurement error does not fully capture the uncertainty associated with measurement. Our discussions call for a fundamental rethinking of measurement in the social sciences. Adapting an uncertainty-centric approach to measurement, which has become the norm in in the physical sciences, offers a means to address the limitations of current measurement practice in marketing.

One of the most well-known, seminal models in the tourism marketing field is the one proposed more than 40 years ago by Stanley Plog. His venturesomeness model has been widely cited in journal articles, textbooks, and has also been used as a reference for planning and designing tourism marketing projects. However, empirical research on Plog’s psychographic model has yielded varied, inconclusive results, and the postulates of his conceptual framework are still subject to academic scrutiny. While some empirical investigations have corroborated the model, others have found partial or no support for it. Therefore, the purpose of this chapter is to offer an exhaustive review of 26 studies in the literature which have employed Plog´s venturesomeness concept to examine travellers’ personality traits, attitudes, and behaviour, as a way to synthetise empirical findings and draw conclusions from the cumulative results. A discussion of the model’s contribution to the current body of knowledge and managerial implications for tourism marketing practitioners are presented.