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Sex tourism is well documented in the literature, but what about porn tourism? Whether it is a Ping Pong show in Phuket or the Banana show in Amsterdam, porn and tourism have an encounter and gaze no different from the Mona Lisa in the Louvre or magnificent views of New Zealand’s Southern Alps. The paper aims to discuss these issues.

This paper explores the intersections of tourism, porn and the future as a conceptual framework.

Four intersections are derived from the conceptual framework. Intersection 1, the Future of Tourism, portrays the evolution of tourism and explores its technological future. Interaction 2, Porn in Tourism, distinguishes between soft- and hard-core porn tourism. Intersection 3, Portraying Porn as a Future Dimension, delves into futurism, science fiction and fantasy. The fourth intersection, the Future Gaze, conveys the thrust of the paper by exploring how technological advancement blends with authenticity and reality. Thus the porn tourist seeks both the visual and the visceral pleasures of desire. The paper concludes with four future gazes of porn tourism, The Allure of Porn, The Porn Bubble, Porn as Liminal Experience and Hardcore.

The originality of this paper is that this is the first paper to systematically examine porn tourism beyond sex tourism overlaying with a futures dimension. Porn tourists actively seek to experience both visual and visceral pleasures. Tourism and pornography both begin with the gaze. The gaze is an integral component of futures thinking. Technology is changing us, making us smarter, driving our thirst for liminal experiences. Like the transition from silent movies to talking pictures the porn tourism experience of the future is likely to involve more of the bodily senses.

Soft systems methodology (SSM) is well documented in the academic and management literature. Over the last 40 years, the methodology has come to be adapted depending on the tool users’ skills and experience in order to fit the problem. The purpose of this paper is to demonstrate good teaching and learning practice from a pedagogical perspective.

Dr Ian Yeoman of Victoria University of Wellington provides a personal reflection of how the methodology is used in the teaching and learning of TOUR301 Tourism Policy and Planning as a policy and scenario analysis method.

The paper articulates the seven stages of SSM from problem situation unstructured, through to Rich Pictures, vision and guiding principles, policy solutions, comparisons, feasibility and implementation stages. The paper uses a series of teaching tasks to breakdown the complexity of the methodology thus guiding students and teachers in how to deploy the methodology in the classroom.

The value of the paper demonstrates the reflective practice of SSM in action as an exemplar of good practice. The paper clearly articulates the stages of the methodology so students and teachers can adopt this approach in classroom environments following a scaffolding learning approach. The use of teaching tasks throughout the paper helps bring clarity and order thus enabling the teacher to effectively teach the subject and the students to learn. The most significant contribution of this paper is the articulation of good teaching practice in policy and scenario analysis which articulated through four learning lessons: facilitating a learning environment; the impact of visual thinking; political theory; the importance of incremental learning; and problem-based learning and international students.

The COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.

Positioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.

The matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.

The paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.

First, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.