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The purpose of this paper is to portray the future of tourism in New Zealand based upon a philosophy of sustainability and cultural identity as a response to the present 2025 Tourism Strategy.

The research deployed a scenario planning methodology resulting in four portraits of the future.

Environmental issues and global migration are the key issues that will shape the future of New Zealand tourism. In order to address these issues four scenarios were constructed. New Zealand Wonderland portrays a future based upon a grounded international reputation for environmentalism driven by good governance, climate change targets and ecotourism. Indiana Jones and the Search for Cultural Identity position a future driven by rapid growth and unregulated air travel resulting in environmental degradation. A Peaceful Mixture is a balance of socio‐cultural and environmental dimensions of sustainability at the centre of a tourism product shaped upon Maori culture and economic prosperity. The final scenario, New Zealand in Depression, is the worst possible outcome for New Zealand's tourism industry as the three dimensions of economy, community, and environment are not at equilibrium. New Zealand would be over‐polluted with an uncontrolled number of migrants.

The research was a social construction of ten experts’ views on the future of sustainable tourism.

New Zealand's present approach to the future of tourism is shaped by the 2025 Tourism Framework (http://tourism2025.org.nz/). This is derived from a business perspective and a neoliberal political philosophy and it is void of the words ecotourism and sustainability. This paper argues that the present strategy will fail because of community disengagement that proposes a range of alternative directions based upon a political discourse of sustainability and shaped by environmental credentials and cultural identity.

This early grades lesson set for the age group of 4–8 years explores the concepts of diversity, inclusion and friendship, involving three young students who are recent immigrants. The lesson set uses two companion books. In the book I am New Here, three recently immigrated young children from Guatemala, Korea and Somalia step into and experience their new school in their new country, the USA. In the companion book Someone New, their classmates explore how to reach out to and become friends with these new peers. The companion books are a resource for this lesson set, as they portray typical young learners who are immigrants exploring their identities and sources of support and how their presence and experiences challenge their classmates to find ways to support them in their new environment.

Students are guided to see themselves and others as unique individuals, with a range of abilities including the ability to speak different languages, to read and write in different ways so that they may initiate discussion and connect with classmates. Students occupy both the roles of new immigrant students and domestic students while they read the books, model how to interact with a new friend and represent their experiences in the lesson set.

The books promote young learners' interactions within and across groups. Both the domestic and immigrant students are encouraged to approach the experience of difference in school spaces as mutually beneficial, providing opportunities to learn more about self and others, as well as to develop a sense of inclusivity and friendship.

Someone New and I am New Here are companion books that together present a story of diversity, inclusion and friendship rendered in different perspectives. Efforts are made by three young students, who are immigrants from Guatemala, Korea and Somalia, and their classmates to understand and relate to each other. The books promote young learners’ interactions within and across groups.

The purpose of this study is to prepare composite of chitosan-modified smectite clays consisting of montmorillonite and saponite clay minerals and their urea adsorption–desorption study. Prepared materials were designed for slow-release fertilizer application.

Preparation of the composites was conducted by a simple intercalation of chitosan solution and clay suspension followed by hydrogel beads formation. Physicochemical characterization of materials was performed by X-ray diffraction, gas sorption analysis by using Brunauer–Emmett–Teller surface areas and pore volume, water absorbency and Fourier transform-infrared. Urea adsorption and desorption studies of prepared materials were conducted by using batch method, and the adsorbed and desorbed urea content was analyzed by using high-performance liquid chromatography method.

The results revealed that the composites have higher absorptivity and lower absorptivity toward urea from and into water solution compared to raw clay minerals. Adsorption capacity and slow desorption rate of urea from the composites suggested the potential application of the composites as slow urea-releasing agent.

There are many papers that study the formation of chitosan-clay composites, but the study on the urea adsorption–desorption properties based on chitosan-smectite minerals have not been reported. Intensive study related to physicochemical properties and its related kinetics study is an important basic finding for further applications.

This study aims to assess the effectiveness of a resilience-building program in reducing social anxiety among victimized adolescents and examining the mediating role of resilience in the relationship between peer victimization and social anxiety.

A nonequivalent control group pre-post quasi-experimental design was used, with participants divided into an intervention group receiving resilience training and a wait-list control group. This study involved Jordanian adolescents who had experienced peer victimization and reported elevated social anxiety symptoms. The intervention utilized the Youth Resilience Program, a nonclinical psychosocial method.

A total of 137 participants completed the study, with no significant baseline differences between the intervention and control groups in resilience, social anxiety or peer victimization scores. The intervention group showed significant improvements in resilience and reductions in social anxiety and peer victimization compared to the control group. Resilience partially mediated the relationship between peer victimization and social anxiety, indicating that higher resilience reduced the impact of victimization on social anxiety, although victimization still had a direct effect on social anxiety.

The resilience-building program was effective in enhancing resilience and reducing social anxiety among victimized adolescents. However, while resilience reduced the impact of victimization, it did not entirely eliminate the anxiety associated with victimization, indicating the need for comprehensive interventions that address both resilience and other factors contributing to social anxiety. This study contributes to the understanding of the complex interplay between peer victimization, social anxiety and resilience in Arab adolescents and underscores the importance of culturally sensitive interventions in promoting adolescent mental health.

Within the Arab Jordanian context, the intricate relationship between social anxiety and peer victimization is profoundly influenced by the unique sociocultural factors and family dynamics of the Arab societies, which often place a strong emphasis on collectivism and conformity (Obeidat et al., 2012). Arab families often expect their children to adhere to societal norms and maintain harmonious relationships within the family and community. This emphasis on conformity can intensify social anxiety among adolescents, as the fear of deviating from the expected norms and bringing shame to the family can be overwhelming. However, the scenarios are grounded in hypotheses derived from prior Arab research examining various related variables. It is important to note that existing evidence regarding the role of adolescent resilience in shaping the relationship between peer victimization and social anxiety primarily stems from Western literature, using Western samples. No studies have yet investigated how these factors interact and influence one another among Arab adolescents.

This study aims to analyse the condition of the elderly in poor households which includes two things. The first is the characteristics of the elderly in poor households and the effect of poverty on the economic activities of the elderly.

This research uses secondary data from the 2020 National Social Economic Survey.

Poverty status of households is proven to have an effect on the participation of the workforce and the work participation of the elderly. The poor elderly tend to have a greater chance of participation in economic activities than the non-poor elderly. The absence of pension and old age insurance also causes the elderly to continue working until old age. Working is one of the survival mechanisms for the elderly.

This research has analysed the two population problems, which are the aging population and poverty.

The purpose of this paper is to examine the long-run profitability of rice milling operation in Malaysia and see how sensitive it is to changes in paddy purchases, rice recovery ratio and paddy price.

Using a purposive sampling technique and semi-structured interviews, seven rice mills in Malaysia were selected to obtain data on operational details and business accounts. The paper provides a qualitative and descriptive account of the rice mill’s profitability by using cost curves, a simple linear regression and the Monte Carlo simulation.

The rice milling operation in Malaysia is profitable in the long run, provided that there is a market for by-products. Large private mills have lower average costs, helping them obtain higher profit margins. Public mills that receive a rice miller subsidy are more protected than small private mills that operate without the rice miller subsidy and under price controls. Changes in paddy purchases, paddy price and recovery ratio affect the profitability to varying degrees.

Incomplete information provided by the interviewees. The analysis result is only a rough estimate. However, it may provide a useful insight into the Malaysian rice milling sector and its competitiveness.

There are few economic studies of the rice milling sector in Malaysia. However, it plays an important role along the rice supply chain. There is a need for better understanding of the industry in order to obtain economic sustainability and effective policies. This paper provides the gap by providing an insight into the long-run profitability of rice milling operation in Malaysia.

The term knowledge refers to the part of the world investigated by a specific discipline and that includes a specific taxonomy, vocabulary, concepts, theories, research methods and standards of justification. Our approach uses domain knowledge to improve the quality of business process models (BPMs) by exploiting the domain knowledge provided by large language models (LLMs). Among these models, ChatGPT stands out as a notable example of an LLM capable of providing in-depth domain knowledge. The lack of coverage presents a limitation in each approach, as it hinders the ability to fully capture and represent the domain’s knowledge. To solve such limitations, we aim to exploit GPT-3.5 knowledge. Our approach does not ask GPT-3.5 to create a visual representation; instead, it needs to suggest missing concepts, thus helping the modeler improve his/her model. The GPT-3.5 may need to refine its suggestions based on feedback from the modeler.

We initiate our semantic quality enhancement process of a BPM by first extracting crucial elements including pools, lanes, activities and artifacts, along with their corresponding relationships such as lanes being associated with pools, activities belonging to each lane and artifacts associated with each activity. These data are systematically gathered and structured into ArrayLists, a form of organized collection that allows for efficient data manipulation and retrieval. Once we have this structured data, our methodology involves creating a series of prompts based on each data element. We adopt three approaches to prompting: zero-shot, few-shot and chain of thoughts (CoT) prompts. Each type of prompting is specifically designed to interact with the OpenAI language model in a unique way, aiming to elicit a diverse array of suggestions. As we apply these prompting techniques, the OpenAI model processes each prompt and returns a list of suggestions tailored to that specific element of the BPM. Our approach operates independently of any specific notation and offers semi-automation, allowing modelers to select from a range of suggested options.

This study demonstrates the significant potential of prompt engineering techniques in enhancing the semantic quality of BPMs when integrated with LLMs like ChatGPT. Our analysis of model activity richness and model artifact richness across different prompt techniques and input configurations reveals that carefully tailored prompts can lead to more complete BPMs. This research is a step forward for further exploration into the optimization of LLMs in BPM development.

The limitation is the domain ontology that we are relying on to evaluate the semantic completeness of the new BPM. In our future work, the modeler will have the option to ask for synonyms, hyponyms, hypernyms or keywords. This feature will facilitate the replacement of existing concepts to improve not only the completeness of the BPM but also the clarity and specificity of concepts in BPMs.

To demonstrate our methodology, we take the “Hospitalization” process as an illustrative example. In the scope of our research, we have presented a select set of instructions pertinent to the “chain of thought” and “few-shot prompting.” Due to constraints in presentation and the extensive nature of the instructions, we have not included every detail within the body of this paper. However, they can be found in the previous GitHub link. Two appendices are given at the end. Appendix 1 describes the different prompt instructions. Appendix 2 presents the application of the instructions in our example.

In our research, we rely on the domain application knowledge provided by ChatGPT-3 to enhance the semantic quality of BPMs. Typically, the semantic quality of BPMs may suffer due to the modeler's lack of domain knowledge. To address this issue, our approach employs three prompt engineering methods designed to extract accurate domain knowledge. By utilizing these methods, we can identify and propose missing concepts, such as activities and artifacts. This not only ensures a more comprehensive representation of the business process but also contributes to the overall improvement of the model's semantic quality, leading to more effective and accurate business process management.

The notion of students as change agents have widely been used in the campus sustainability literature, but very little has been done to unpack what it really means in practice. This paper aims to critically investigate university students’ perspectives on their role as a change agent for campus sustainability in the context of Malaysian universities.

In-depth interviews were carried out with 21 students that have been categorized as change agents through selection criteria at three leading universities in the area of campus sustainability in Malaysia. The data collected from the interviews were analysed through content-based and thematic analysis.

Findings demonstrate that students are the backbone behind the implementation of campus sustainability activities. They play the multi-faceted role of leaders, supporters and ambassadors in initiating and driving campus sustainability. The results further suggest that support and freedom to act are the empowering factors that have driven these change agents in carrying out their initiatives. However, without a position, the students’ voices are not significant.

This study provides deeper evidence-based insights on the notion of students as change agents and how it can be operationalized in the context of campus sustainability.

This study scrutinized the synergistic effects of lean manufacturing (LM) on lead time reduction (LR) while investigating the mediating role of manufacturing flexibility (MF) in that relationship within the context of batch and mass customization manufacturers.

This cross-sectional survey involved 160 large batch and mass customization manufacturers in Indonesia. Data were analyzed by using the PLS path modeling approach and multigroup analysis.

The positive synergistic direct effects of LM on LR and MF were revealed in both process types. In mass customization, MF mediates the effect of LM on LR. However, such a mediating effect was not found in the batch process due to the insignificant effect of MF on LR.

The findings offered theoretical and practical insights supporting the manufacturers to grasp potential benefits through the holistic LM implementation as well as the suitable strategies to improve MF and reduce lead time by considering the types of the production process.

This study bridged the gaps regarding the comparison of LM implementation and its influence on MF and LR in mass customization and batch production.

This chapter critically discusses the literature on the subject of circular economy. It defines the circular economy at the outset and advocates its adoption in smart cities. It briefly explains the multiple phases of industrial revolution and the slow and gradual shift from a linear economy which is based on make-use-dispose model to a circular economy which relies on reusing and recycling the products produced in the production cycle. It then critically examines the legal challenges that can be associated with such a system. It draws on the lessons learnt from cities such as Amsterdam which has successfully implemented the system of circular economy. This chapter also delves into the Columbian waste management system to understand the market functioning in the waste management sector which is handled by private enterprises in the country. Moreover, the public–private partnership model in the Chinese city Suzhou is explored, and exciting methods of using this model were found.