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The study aims to investigate how tourism actors' methodologies fuel the development of regenerative activities anchored in the reciprocity of nature and humans directed at bringing well-being for all living beings.

To shed light on micro-scale regenerative creation processes in tourism, the authors engage in co-creative case study research with the owners of a small value-driven tourism firm in Arctic Norway in their creation of activities that strengthen the human–nature relation.

The authors found that the values of the tourism firm's owners constitute the soul creating regenerative activities based on the reciprocity of soil and society. Thus, the authors posit that soil, soul and society are at the core of developing regenerative tourism activities. A key finding identified is that it is challenging for small eco-centric driven firms to co-create regenerative tourism activities within a capitalocentric system. For regenerative activities to become regenerative tourism practices, multiple actors across levels of operations must act as responsible gardeners.

The study extends current literature on regenerative tourism by providing in-depth insights into the methodology, illustrated through soil, soul and society, guiding one small tourism firm's development of regenerative tourism activities and what drives these processes. The study also contributes knowledge that broadens the use of well-being in tourism to better address current capitalocentric challenges limiting the development of regenerative practices.

Connecting autonomous drones to ground operations and services is a prerequisite for the adoption of scalable and sustainable drone services in the built environment. Despite the rapid advance in the field of autonomous drones, the development of ground infrastructure has received less attention. Contemporary airport design offers potential solutions for the infrastructure serving autonomous drone services. To that end, this paper aims to construct a framework for connecting air and ground operations for autonomous drone services. Furthermore, the paper defines the minimum facilities needed to support unmanned aerial vehicles for autonomous logistics and the collection of aerial data.

The paper reviews the state-of-the-art in airport design literature as the basis for analysing the guidelines of manned aviation applicable to the development of ground infrastructure for autonomous drone services. Socio-technical system analysis was used for identifying the service needs of drones.

The key findings are functional modularity based on the principles of airport design applies to micro-airports and modular service functions can be connected efficiently with an autonomous ground handling system in a sustainable manner addressing the concerns on maintenance, reliability and lifecycle.

As the study was limited to the airport design literature findings, the evolution of solutions may provide features supporting deviating approaches. The role of autonomy and cloud-based service processes are quintessentially different from the conventional airport design and are likely to impact real-life solutions as the area of future research.

The findings of this study provided a framework for establishing the connection between the airside and the landside for the operations of autonomous aerial services. The lack of such framework and ground infrastructure has hindered the large-scale adoption and easy-to-use solutions for sustainable logistics and aerial data collection for decision-making in the built environment.

The evolution of future autonomous aerial services should be accessible to all users, “democratising” the use of drones. The data collected by drones should comply with the privacy-preserving use of the data. The proposed ground infrastructure can contribute to offloading, storing and handling aerial data to support drone services’ acceptability.

To the best of the authors’ knowledge, the paper describes the first design framework for creating a design concept for a modular and autonomous micro-airport system for unmanned aviation based on the applied functions of full-size conventional airports.

A case study about the creation of four scenarios that were used to make sense of the fast-moving pace of COVID-19 and the consequences for New Zealand tourism.

Adapting global visitor economy scenarios, a set of New Zealand tourism scenarios were constructed using a “back of house Shell” method and were supplemented with an expert panel to test the reliability and validity of the scenarios.

The four scenarios constructed were based on two critical uncertainties, namely economic recession and the moral dilemma of the consumer. Four scenarios were portrayed using film and TV titles to help participants visualise the scenarios. Crazy Rich Asians: Recovery represented many of the attributes of tourism in New Zealand prior to COVID-19 i.e. a focus on high value tourists from Asia. Contagion: Survival of the Fittest represented the reality of the COVID-19 pandemic. This Side of Paradise: ReThinking Tourism focused on rebuilding tourism based upon the principles of sustainability. The Colony: Gated Communities represented fortress destinations trying to keep COVID-19 at bay. Each scenario portrayed several features including a unique narrative, tourism, the tourist, vision, strategy and risks. The paper highlighted the trade-offs and conflicts between the scenarios as COVID-19 unfolded in different directions.

In a fluid situation, the paper reminds readers of the value of scenarios as framing devices to understand the fast-moving pace of COVID-19 when New Zealand was in unchartered waters. Thus, this study highlights how a scenario-planning process builds resilience and foresight to help stakeholders and actors make sense of crisis situations.

Globalization occupies a central research activity and remains an increasingly controversial phenomenon in economics. This phenomenon corresponds to a subject that can be criticized through its impact on national economies. On the other hand, the world economy is evolving in a liberalized environment in which foreign direct investment plays a fundamental role in the economic development of each country. The advent of financial flows – foreign direct investment, remittances and official development assistance – can be a key factor in the development of the economy. The purpose of this study is to analyze the effect of financial flows on economic growth in developing countries. Empirically, different approaches have been used. As part of this study, an attempt was made to use a combined autoregressive distributed lag (ARDL) panel approach to study the short-term and long-run effects of financial flows on economic growth. The results indicate ambiguous effects. Economically, the effect of financial flows on economic growth depends on the investor’s expectations.

To study the short-run and long-run effects of financial flows on economic growth, this paper considers an empirical approach based on the panel ARDL. This model makes it possible to distinguish between the short-run effect and the long-run one. This type of model is based on three estimators, namely, mean group, pooled mean group (PMG) and dynamic fixed effect.

Results confirm the existence of a long-run relationship because the adjustment coefficient (error correction parameter) is negative and statistically significant. This paper finds that the PMG estimator is more consistent and more efficient. In the short-run, foreign direct investment do negatively affect economic growth, the effect is no significant in the long-run. On the other hand, the effect of remittances on economic growth is significant in the short-run. However, it is no significant in the long-run. Finally, the results suggest that the effect of official development assistance on economic growth is insignificant; both in the long-run and in the short-run.

To study the interaction between financial flows and economic growth, some empirical methodology are used such as the dynamic panel data and the autoregressive vector (VAR) model. In this study, we apply the panel ARDL model to analyze the short-run and the long-run effect for each financial flow on economic growth. The objective is to study the heterogeneity on dynamic adjustment in the short-term and long-term.

This study investigates the impact of large-scale teaching in higher education on students’ preparedness for the workforce within the context of evolving labour market demands, the expansion of higher education and the application of high-impact teaching strategies. It synthesizes perspectives on employer work readiness, the challenges and opportunities of large-scale teaching and strategies for fostering a dynamic academia-industry feedback loop. This multifaceted approach ensures the relevance of curricula and graduates’ preparedness while addressing the skills gap through practical recommendations for aligning teaching methodologies with employer expectations.

The research methodically examines the multifaceted challenges and opportunities inherent in large-scale teaching. It focuses on sustaining student engagement, maintaining educational quality, personalizing learning experiences and cultivating essential soft skills in extensive student cohorts.

This study highlights the critical role of transversal skills in work readiness. It also uncovers that despite its challenges, large-scale teaching presents unique opportunities. The diversity of large student groups mirrors modern workplace complexities, and technological tools aid in personalizing learning experiences. Approaches like peer networking, innovative teaching methods, real-world simulations and collaborative resource utilization enrich education. The importance of experiential learning for augmenting large-scale teaching in honing soft skills is emphasized.

This manuscript contributes to the discourse on large-scale teaching, aligning it with employer expectations and the dynamic requirements of the job market. It offers a nuanced perspective on the challenges and opportunities this educational approach presents, providing insights for crafting engaging and effective learning experiences in large cohorts. The study uniquely integrates experiential learning, co-creation in education and industry-academia feedback loops, underscoring their importance in enhancing student work readiness in large-scale teaching.

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.

This paper reviews the possibilities of coronavirus disease 2019 (COVID-19) spreading from infected humans to pet animals and from pet animals to other animals and humans.

A systematic literature review and meta-analysis were performed on research articles from November 2019 to August 2020. This study explored urgently needed research issues on COVID-19 infection spreading across animals and humans and vice versa.

Essential and much needed precautionary measures and necessary preventive steps to protect pet animals from infection were highlighted.

Essential investigation and experiment results were highlighted. The necessary measure to prevent the spread of infection among and across species and people was analyzed.

The purpose of this paper is to widen the understanding of the shifts the tourism industry experienced as it went though the Covid-19 pandemic. To contribute to this question, an empirical comparison is made between the supply of guided tours and sights at an urban destination in the pre- and postpandemic eras, thus gauging the changes in the guiding tours industry after the pandemic.

By conducting a convenience data gathering and a double-level analysis (tours analysis and sights analysis) on the tours and attractions supply at an urban destination, underlying trends come to light, related to the changes in the postpandemic era. This empirical comparison (2019 vs 2022) allows the authors to assess what has and has not changed in the postpandemic context.

Guided tours and attractions supply are evolving in the researched destination, but at a slow pace. Therefore, we conclude that long-term processes in destinations prevail over short-term disruptions, no matter how strong these disturbances are.

The results are of interest to practitioners as they facilitate a better assessment of the impacts of a crisis and greater awareness of the evolution of attractions in urban tourism. While the “staple tours” in a destination are always there, practitioners should keep an eye on new spaces in the city which the sector is opening up and also new touring trends.

This study is one of the few to empirically compare a pre- and postpandemic situation, as far as city-guided tours are concerned. It helps practitioners and authorities in urban destinations to assess the new trends that have emerged in the postpandemic era, and offers a two-level tool for tour analysis that could be applied to any urban destination.

Following the surge of documents laying out organizations' ethical principles for their use of artificial intelligence (AI), there is a growing demand for translating ethical principles to practice through AI governance (AIG). AIG has emerged as a rapidly growing, yet fragmented, research area. This paper synthesizes the organizational AIG literature by outlining research themes and knowledge gaps as well as putting forward future agendas.

The authors undertake a systematic literature review on AIG, addressing the current state of its conceptualization and suggesting future directions for AIG scholarship and practice. The review protocol was developed following recommended guidelines for systematic reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).

The results of the authors’ review confirmed the assumption that AIG is an emerging research topic with few explicit definitions. Moreover, the authors’ review identified four themes in the AIG literature: technology, stakeholders and context, regulation and processes. The central knowledge gaps revealed were the limited understanding of AIG implementation, lack of attention to the AIG context, uncertain effectiveness of ethical principles and regulation, and insufficient operationalization of AIG processes. To address these gaps, the authors present four future AIG agendas: technical, stakeholder and contextual, regulatory, and process. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

To address the identified knowledge gaps, the authors present the following working definition of AIG: AI governance is a system of rules, practices and processes employed to ensure an organization's use of AI technologies aligns with its strategies, objectives, and values, complete with legal requirements, ethical principles and the requirements set by stakeholders. Going forward, the authors propose focused empirical research on organizational AIG processes, the establishment of an AI oversight unit and collaborative governance as a research approach.

For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.

For society, the authors review elucidates the multitude of stakeholders involved in AI governance activities and complexities related to balancing the needs of different stakeholders.

By delineating the AIG concept and the associated research themes, knowledge gaps and future agendas, the authors review builds a foundation for organizational AIG research, calling for broad contextual investigations and a deep understanding of AIG mechanisms. For practitioners, the authors highlight training and awareness, stakeholder management and the crucial role of organizational culture, including senior management commitment.