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How do you teach the future when it has not happened yet? The purpose of this paper is to delve into the teaching and learning philosophies of Futurist Dr Ian Yeoman of Victoria University of Wellington who emphasises authenticity, problem-based learning, visuals as creative tools and students’ negotiating problems.

This paper is a reflective account of the Author Dr Ian Yeoman as a human instrument.

The paper overviews three papers taught by the Author Dr Ian Yeoman – TOUR104 is a first-year introductory course addressing how the drivers and trends in the macro environment influence tourism from a political, economic, social, technology and environment perspective. TOUR301 is a third-year course as part of the bachelor of tourism management degree. The course aims to help students develop the skills and knowledge necessary to understand and critically analyse tourism public policy, planning and processes within New Zealand and a wider context. TOUR413 is a scenario planning paper, applied in a tourism context and taught to students in postgraduate programs.

The paper examines different learning tools and strategies in order to deliver the philosophy with scaffolding and incremental learning featuring predominantly in this approach.

This study aims to investigate the associations among decent work (DW), capabilities and the flourishing of employees in a South African context.

A cross-sectional survey was conducted with a convenience sample (N = 436) of early childhood development practitioners from two South African provinces. A demographic questionnaire, the Decent Work Scale, the Capability Set for Work Questionnaire and the Flourishing-at-Work Scale were administered.

Latent class analysis showed four capability sets: robust, relational, knowledge/skills and weak capability sets. Employees with a robust capability set were more inclined to report DW than those with knowledge/skills and weak capability sets. Employees with a weak capability set were significantly less inclined to report organisational values that complement family and social values than the other three capability sets. Employees with a robust capability set reported significantly higher emotional well-being (EWB), psychological well-being (PWB) and social well-being (SWB) levels than those with relational, knowledge/skills and weak capability sets. DW was significantly related to EWB, PWB and SWB.

This study contributes to the literature regarding DW, capabilities and flourishing of employees in a non-western, educated, industrialized, rich and democratic and non-POSH context. The study highlights the need for well-being policies that focus on DW and the capabilities of people in disadvantaged positions. These together would strengthen their agency for converting capabilities into well-being.

This chapter explores the disruptive potential of the Internet to transform illicit drug markets while also challenging stereotypical depictions and superficial understandings of supply and demand. It argues that the digital transformation of illicit drug markets combines, on one hand, a reconfiguration of the scope and impact of how sellers, buyers, and other actors interact within and upon digitally mediated retail drug markets and, on the other hand, continuing trends in the embeddedness of market structures in cultural, economic, political, and legal realms. We develop conceptual ideas for studying the architecture of digital drug markets by drawing on interdisciplinary approaches to digitalisation, markets, and drugs. To understand the functioning of online drug markets, we first need to understand digitalisation. Thus, we draw on scholarship on the digital transformation of society and, second, put forward an understanding of markets that considers how personal relations and social structures enhance and restrict market exchange. Thus, we draw on economic sociology. Third, we build on and extend social science research on illicit drug markets which points out that drug markets exhibit significant variations over time and across jurisdictions. The introduction aims to provide a research agenda that can help us to explore ongoing digital transformations of illicit drug markets. It expands and deepens scholarship on the technological, structural, economic, and cultural factors underlying the resilience and growth of digital drug markets. It also goes beyond a concern with just one type of digital drug market into wider forms of digital environments.

The purpose of this study is to extend the research on fashion renting (FR) by investigating how personal and social motives (i.e. “subjective norms”, “perceived behavioural control”, “sustainable orientation” and “FR benefits”) affect consumers’ attitudes and intentions towards it. In addition, personality traits are investigated as potential antecedents of FR, resulting in the proposal of an overall framework that combines the theory of planned behaviour with the trait theory approach.

Data were collected in Italy from a sample of 694 consumers, mainly females (88%), with an average age of 28.8 years and coming from all over the country. The collected data were then processed via structural equation modelling.

The results indicated that intention towards FR is influenced by attitude, which, in turn, is affected by social norms, perceived behavioural control, sustainable orientation and FR benefits. Furthermore, only fashion leadership acts as a direct antecedent of FR attitude, while the need for uniqueness and materialism plays critical roles as predictors of personal and social motives. Subjective norms and perceived behavioural control also serve as mediators of the significant relationships between personality traits and attitudes towards FR.

The study provides useful implications for fashion rental companies in attracting consumers and offers a foundation for further research on transforming traditional consumption into a more sustainable one.

The study presents new knowledge on the rental phenomenon in the fashion sector by responding to the call to deepen the analysis of factors that influence consumers’ adoption of FR from the perspectives of personal and social motives and personality traits.

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time. However, storing and processing large and varied datasets (known as big data) is challenging to do in real time. In machine learning, streaming feature selection has always been considered a superior technique for selecting the relevant subset features from highly dimensional data and thus reducing learning complexity. In the relevant literature, streaming feature selection refers to the features that arrive consecutively over time; despite a lack of exact figure on the number of features, numbers of instances are well-established. Many scholars in the field have proposed streaming-feature-selection algorithms in attempts to find the proper solution to this problem. This paper presents an exhaustive and methodological introduction of these techniques. This study provides a review of the traditional feature-selection algorithms and then scrutinizes the current algorithms that use streaming feature selection to determine their strengths and weaknesses. The survey also sheds light on the ongoing challenges in big-data research.

This paper aims to present a conceptual model that identifies and relates the different approaches and thematic areas in the research area of tourism and gender.

The design of the conceptual model is based on a critical review of the literature and the evolution of feminist paradigms and theories.

The aforementioned theoretical frameworks are the basis for the further development of feminist studies and a gender perspective in the tourism industry research area, including research design, objectives, methodologies, analysis and result’s presentation.

Based on literature review, is theoretical.

Presentation of a conceptual model around the gender perspective in tourism, that leads to the identification of important research opportunities in this area.

This research evaluated the impact of credit risk, liquidity risk, profitability, economic growth and good governance on the vulnerability of the Islamic banking system in the Association of Southeast Asian Nations (ASEAN).

The panel regression analysis was used to obtain data from five ASEAN countries that had operated Islamic banks from 2010 to 2019.

The results obtained from the vulnerability model indicated that bank liquidity risk, profitability and good governance have significant impacts on vulnerability. Conversely, credit risk and economic growth showed an insignificant effect on susceptibility. Good governance helps increase investment attractiveness for economic growth and development in Islamic banks in ASEAN.

Some of the limitations of this research include its focus on the vulnerability of Islamic banks in ASEAN countries. The average value of six indices is used as a single index per country with good governance. Therefore, further research needs to consider using all six indices of good governance as factors affecting the vulnerability of Islamic banks, such as control of corruption, government effectiveness, political stability, absence of violence, regulatory quality, the rule of law voice and accountability.

This research describes banking financial circumstances and their internal activities. Furthermore, it helps managers or banking practitioners in the proper management of finance, specifically at the vulnerability level, to aid in the early detection of crisis to enable early aversion or minimal impact.

This research is expected to assist governments in ASEAN countries to establish public policies and build good governance to increase investment interest in the Islamic banking industry.

This research is the author's first attempt at discussing the issues of bank vulnerability related to good governance faced by the Islamic banking system in ASEAN.