Blockchain technology diffusion in tourism:evidence from early enterprise adopters and innovators

The use cases of blockchain as an innovative technology have increasingly captured the attention of tourism enterprises. To date, the literature tends to discuss blockchain's advantages rather than how early enterprise adopters and innovators experience and perceive the technology. As such, the extent of technology diffusion is not well understood. This study critically explores the factors influencing blockchain diffusion in tourism and how blockchain innovation is diffused in tourism. We conducted semistructured interviews with founders and senior executives of tourism enterprises in the United States and Europe who are early adopters and innovators of blockchain in tourism. From the thematic analysis, our empirical findings indicate that blockchain has much to offer despite the nascent link between blockchain's business value to an enterprise's strategic plans and the limited success of use cases in tourism. We summarize the findings in a conceptual framework and offer propositions based on the antecedents (motivators and drivers and challenges and barriers) of blockchain diffusion of innovation for enterprises to achieve competitive advantage. The propositions provide a research agenda to guide the strategic implementation of blockchain.</p

“People are now working together for a common good”:The effect on social capital of participatory design for community-level sanitation infrastructure in urban informal settlements

Communities with higher levels of social capital perform better than communities with lower social capital in community-level water and sanitation interventions and have better health outcomes. Although research recommends bolstering social capital to improve intervention outcomes, few studies provide empirical evidence on the effect of intervention activities on social capital. This study aimed to evaluate the effect of participatory design and community engagement activities on social capital among urban informal settlements in Suva, Fiji and Makassar, Indonesia enrolled in the Revitalizing Informal Settlements and their Environments trial using the Short Adapted Social Capital Assessment Tool. We performed confirmatory factor analyses (CFA) to test tool performance and built structural equation models to assess intervention effect on CFA-informed, sub-scale scores for cognitive and structural social capital. Qualitative in-depth interviews in Fiji and Indonesia and focus group discussions in Fiji provided nuanced understanding of intervention effects on social capital from residents’ perspectives. Results confirmed the hypothesized two-factor solution but revealed differences by country and by gender in Indonesia. The intervention appeared positively related to cognitive social capital among men and women in Indonesia and negatively related to cognitive and structural social capital among men and women in Fiji. While effect sizes were small and cluster-adjustment for a small number of settlements yielded non-significant effects, trends were consistent across models and bivariate analyses and were corroborated by qualitative findings. Several contextual factors may explain these results, including timing and duration of intervention activities and influence of COVID-19. Qualitative data suggested that the relationship between participatory design and social capital may be bidirectional, helping to explain why certain settlements appeared to be better equipped to benefit from intervention activities. Practitioners and program designers should carefully consider the social pre-conditions of communities in which they intend to work to optimize program outcomes and avoid unintended consequences.</p

Sharpening clinical decision support alert and reminder designs with MINDSPACE:A systematic review

Background: Clinical decision support (CDS) alerts and reminders aim to influence clinical decisions, yet they are often designed without considering human decision-making behaviour. While this behaviour is comprehensively described by behavioural economics (BE), the sheer volume of BE literature poses a challenge to designers when identifying behavioural effects with utility to alert and reminder designs. This study tackles this challenge by focusing on the MINDSPACE framework for behaviour change, which collates nine behavioural effects that profoundly influence human decision-making behaviour: Messenger, Incentives, Norms, Defaults, Salience, Priming, Affect, Commitment, and Ego. Method: A systematic review searching MEDLINE, Embase, PsycINFO, and CINAHL Plus to explore (i) the usage of MINDSPACE effects in alert and reminder designs and (ii) the efficacy of those alerts and reminders in influencing clinical decisions. The search queries comprised ten Boolean searches, with nine focusing on the MINDSPACE effects and one focusing on the term mindspace. Results: 50 studies were selected from 1791 peer-reviewed journal articles in English from 1970 to 2022. Except for ego, eight of nine MINDSPACE effects were utilised to design alerts and reminders, with defaults and norms utilised the most in alerts and reminders, respectively. Overall, alerts and reminders informed by MINDSPACE effects showed an average 71% success rate in influencing clinical decisions (alerts 73%, reminders 69%). Most studies utilised a single effect in their design, with higher efficacy for alerts (64%) than reminders (41%). Others utilised multiple effects, showing higher efficacy for reminders (28%) than alerts (9%). Conclusion: This review presents sufficient evidence demonstrating the MINDSPACE framework's merits for designing CDS alerts and reminders with human decision-making considerations. The framework can adequately address challenges in identifying behavioural effects pertinent to the effective design of CDS alerts and reminders. The review also identified opportunities for future research into other relevant effects (e.g., framing).</p

Prospects and policies for new urban settlements in Australia

This chapter examines the state of play of decentralisation development in Australia, reappraising past visions and realised schemes, and exploring possibilities for these to shape Australia’s urban and rural futures. We consider responses to the 2020–22 Covid-19 pandemic, which have resulted in a de-urbanisation that is novel for recent decades and has reversed some of the metropolitan primacy and growth rates that underscored established Australian planning discourse and practice. Reflecting the range of decentralisation discourse itself, we consider claims to recentre cities or to create ‘new’ cities, including schemes both speculative and realised, and reflect on the diverse fates of greenfield versus proximate satellite city schemes

Agreements forbidden by law <i>vis-à-vis</i> agreements to defeat the law:how are they different?

This article seeks to ascertain the difference between the agreements forbidden by law under section 24(a) and those intended to defeat the law under section 24(b) of the Malaysian Contracts Act 1950. Even though both subsections (a) and (b) cater to different types of illegality, the courts in Malaysia have often been applying them together without giving reasons why they do so. Their conjoined application prevails perhaps because there has been no convincing explanation of their differences, particularly when considered in the context of the common law doctrine of sham. This article attempts to fill that gap. The article suggests that 24(a) deals with the agreements that are expressly or impliedly forbidden by law, while 24(b) applies to sham contracts. This proposition is based on the analysis of the common law doctrine of sham and recent court decisions.</p

Towards automatic boundary detection for human-AI collaborative hybrid essay in education

The recent large language models (LLMs), e.g., ChatGPT, have been able to generate human-like and fluent responses when provided with specific instructions. While admitting the convenience brought by technological advancement, educators also have concerns that students might leverage LLMs to complete their writing assignments and pass them off as their original work. Although many AI content detection studies have been conducted as a result of such concerns, most of these prior studies modeled AI content detection as a classification problem, assuming that a text is either entirely humanwritten or entirely AI-generated. In this study, we investigated AI content detection in a rarely explored yet realistic setting where the text to be detected is collaboratively written by human and generative LLMs (termed as hybrid text for simplicity). We first formalized the detection task as identifying the transition points between human-written content and AI-generated content from a given hybrid text (boundary detection). We constructed a hybrid essay dataset by partially and randomly removing sentences from the original studentwritten essays and then instructing ChatGPT to fill in for the incomplete essays. Then we proposed a two-step detection approach where we (1) separated AI-generated content from human-written content during the encoder training process; and (2) calculated the distances between every two adjacent prototypes (a prototype is the mean of a set of consecutive sentences from the hybrid text in the embedding space) and assumed that the boundaries exist between the two adjacent prototypes that have the furthest distance from each other. Through extensive experiments, we observed the following main findings: (1) the proposed approach consistently outperformed the baseline methods across different experiment settings; (2) the encoder training process (i.e., step 1 of the above two-step approach) can significantly boost the performance of the proposed approach; (3) when detecting boundaries for single-boundary hybrid essays, the proposed approach could be enhanced by adopting a relatively large prototype size (i.e., the number of sentences needed to calculate a prototype), leading to a 22% improvement (against the best baseline method) in the In-Domain evaluation and an 18% improvement in the Out-of-Domain evaluation.</p

Act of grace payments and the constitution

This article focuses on a hitherto underexplored but increasingly important area of public expenditure: act of grace payments. Act of grace payments are voluntary, highly discretionary gifts of money made by the executive in the absence of any legal duty to do so. The expenditure on such payments in Australia has been significant, and a lack of transparency creates serious risks to integrity. Further, the cases of Pape v Federal Commissioner of Taxation, Williams v Commonwealth and Williams v Commonwealth [No 2] have transformed the constitutional framework for public expenditure. Accordingly, this article conducts a fine-grained analysis of the constitutional legality of act of grace payments at the Commonwealth, state and territory levels. The authors argue that there are significant constitutional issues with act of grace payments at the Commonwealth level, and that many state-based act of grace payments are likely to be illegal. To address these issues, and to reduce the risk that payments will be made illegally, the authors recommend several legislative and soft law changes

Measuring community disaster resilience for sustainable climate change adaptation:lessons from time-series findings in rural Cambodia

Donor-funded climate and disaster resilience programmes and projects aim to help build the capacities and resilience of communities. Measuring resilience is critical, therefore, in providing feedback, evidence, and accountability. This paper presents recent two-year time-series findings from an ongoing multi-partner academic and practical collaboration pertaining to a climate change adaption project with rural communities in Cambodia. To measure community resilience, the study used the Flood Resilience Measurement for Communities, which measures, using mixed methods, disaster resilience capacities across five key dimensions of resilience: human, social, physical, natural, and financial capitals. The study analysed and reported changes in these areas of resilience in the selected villages, generating insights into the strengths and weaknesses of flood resilience capacities in the region. This paper provides valuable guidance as to where investment can be most effective in different communities, confirming the usefulness of the tool in measuring resilience and assessing the effectiveness of the project concerned.</p

PiVe::Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs

Large language models (LLMs) have shown great abilities of solving various natural language tasks in different domains. Due to the training objective of LLMs and their pre-training data, LLMs are not very well equipped for tasks involving structured data generation. We propose a framework, Prompting with Iterative Verification (PiVe), to improve graph-based generative capability of LLMs. We show how a small language model could be trained to act as a verifier module for the output of an LLM(i.e., ChatGPT, GPT-4), and to iteratively improve its performance via fine-grained corrective instructions. We also show how the verifier module could apply iterative corrections offline for a more cost-effective solution to the text-to-graph generation task. Experiments on three graph-based datasets show consistent improvement gained via PiVe. Additionally, we create GenWiki-HIQ and highlight that the verifier module can be used as a data augmentation tool to help improve the quality of automatically generated parallel text-graph dataset

Fijian mentors’ experiences of an international teaching practicum for Australian pre-service teachers:perceptions of a decolonising agenda

Initial teacher education programs across the world continue to support short-term international teaching practicums (ITPs) to build pre-service teachers’ (PSTs’) intercultural knowledge and skills. While much research has endorsed the value of such ITPs, studies have raised questions about ethical issues, including the elitism of programs and the danger of reinforcing PSTs’ colonial prejudices. This qualitative study investigates an innovative ITP for Australian PSTs in Suva, Fiji, showing how Pasifika (talanoa) concepts and decolonising methodologies were used in the design and research of the program. The authors, from partner institutions in Australia and Fiji, surveyed and interviewed 27 Fijian mentor teachers in schools who had supervised Australian PSTs, to investigate how these mentors experienced the decolonising character of the program. Findings affirm the value of embedding decolonising strategies and concepts into the program design and research of ITPs, to facilitate mutual understanding, respect and knowledge exchange across cultures.</p