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There is a sparsity of research that considers how to overcome implementation challenges for interventions in special school settings where specialist teaching methods are involved. Successful implementation has often relied on considerable researcher involvement, making them inaccessible and not sustainable for the majority of special schools. The purpose of this study was to implementa train-the-trainer approach to train teaching staff to use the Teaching Early Numeracy to Children with Developmental Disabilities (TEN-DD) programme in a large special school in the UK, thereby significantly reducing researcher involvement in its implementation.

One staff member was trained to become the school lead for TEN-DD and trained other teaching staff in the school on implementation. This study recruited 13 students aged between 12 and 16 years of age with developmental disabilities to receive TEN-DD. Pre- and post-intervention tests on a standardised numeracy measure were conducted.

A train-the-trainer model was developed and successfully delivered to train teaching staff in TEN-DD. A standardised outcome measure indicated that ten students made improvements to their numeracy skills after teachers trained using this approach delivered TEN-DD for between 3 and 10 months.

Very little research has been carried out to better understand methods for overcoming implementation challenges for delivering evidence-based teaching programmes at scale to students with developmental disabilities who attend special schools. To the best of the authors’ knowledge, this study reports the results of the first evaluation of using a train-the-trainer model for the delivery of a numeracy intervention (TEN-DD), whereby there was no involvement of researchers in implementation beyond the initial training of the school lead. This model of training for interventions may be more sustainable for special schools and help improve the uptake of evidence-based interventions.

The paper deals with battlefield tourism and war monuments in the Slovak Republic, Slovenia and Poland. The care of these monuments and their use in tourism today takes place separately and it is interesting to see how the same potential can be used in different ways. One of the aims of the paper is to draw attention to this fact and at the same time to present the possibilities of how to improve the use of this heritage by mutual cooperation.

It is based on field research of the care of military-historical monuments. At the same time, it presents, in the form of retrospective studies, basic experiences from abroad – specifically the construction of thematic trails in Slovakia, Slovenia (The Walk of the Peace) and Poland (The First World War's Eastern Front Trail).

The paper points out aspects such as the care of battlefield tourism sites, cross-border cooperation in the creation of tourism products, the creation of a strategic conceptual framework for the protection of World War I monuments, their presentation to tourists, cooperation between the state, local government and the third sector.

There was no systematic research in this area in Central and Eastern Europe.

This study explores the pioneering approach of utilising machine learning (ML) models and integrating social media data for predicting tourist arrivals in Sri Lanka.

Two sets of experiments are performed in this research. First, the predictive accuracy of three ML models, support vector regression (SVR), random forest (RF) and artificial neural network (ANN), is compared against the seasonal autoregressive integrated moving average (SARIMA) model using historical tourist arrivals as features. Subsequently, the impact of incorporating social media data from TripAdvisor and Google Trends as additional features is investigated.

The findings reveal that the ML models generally outperform the SARIMA model, particularly from 2019 to 2021, when several unexpected events occurred in Sri Lanka. When integrating social media data, the RF model performs significantly better during most years, whereas the SVR model does not exhibit significant improvement. Although adding social media data to the ANN model does not yield superior forecasts, it exhibits proficiency in capturing data trends.

The findings offer substantial implications for the industry's growth and resilience, allowing stakeholders to make accurate data-driven decisions to navigate the unpredictable dynamics of Sri Lanka's tourism sector.

This study presents the first exploration of ML models and the integration of social media data for forecasting Sri Lankan tourist arrivals, contributing to the advancement of research in this domain.

This research explores why tourists are dissatisfied in places considered “wonders of the world”. The authors ask if the place does not match visitors' expectations or if other factors spoil the experience.

The authors analysed the lowest-rated reviews of these wonders on TripAdvisor. The authors identified the main causes of complaints and the problems tourists faced. The authors grouped the complaints into categories and used CoDa.

The results indicate that dissatisfaction does not stem from unmet expectations regarding the monument itself, but rather from other factors related to the quality of the tourist service.

The findings of this research can be implemented in those tourist spots that, despite their global popularity, have considerable proportions of unhappy visitors, not due to the attraction itself, but to shortcomings in its administration.

This study provides a deeper insight into the causes of complaints about some of the most renowned monuments, regarded as extraordinary places, where high satisfaction levels would be anticipated. It also contributes theoretically to the literature on customer complaints in tourist places.

The study aims to investigate how personal values (PVS) influence research self-efficacy (RSE) among academics in public universities in Tanzania.

A cross-sectional design was utilized by the study to gather data once through structured questionnaires administered to 247 academic staff from four public universities in Tanzania.

Generally, the results show that PVS positively and significantly influence RSE in universities. Specifically, OPC has β value of 0.284 and p < 0.001, SEFN has β = 0.352 and p < 0.001 and CONS has a β = 0.198 and p = 0.003.

University management should include PVS as among the criteria for recruitment of academic staff, as it determines their confidence in engaging in research.

The findings of this study broaden the applicability of Schwartz human values theory in Tanzania’s universities. Moreover, by carrying out empirical research on the influence of PVS on RSE in developing context such as Tanzania, the study contributes to the body of literature on PVS and RSE.

To understand the experiences, expectations and suggestions of digital nomads towards intangible cultural heritage in the places they travel.

The qualitative research method was used and the research design is a phenomenological design. Multiple qualitative research design steps were followed in obtaining the research data. In this context, online interviews were conducted with a semi-structured interview form developed by the researchers, and the social media accounts of digital nomads were monitored. The sample consists of nine digital nomads who were interviewed online and five digital nomads whose videos and comments shared on social media were monitored. The inductive thematic analysis method was used to analyse the data.

It was found that digital nomads experience intangible cultural heritage elements, especially religious rituals and food culture, and actively participate in activities and rituals related to these elements as well as sharing them on their social media accounts. It was also concluded that the participants expected to work towards the protection of intangible cultural heritage elements through a number of activities such as awareness-raising and education, and that it is difficult to experience cultural heritage in societies that are not foreign-friendly.

The data were obtained from volunteer participants consisting of digital nomads and digital nomads who shared their experiences on social media. It is suggested that traditional food and religious rituals as intangible cultural heritage should be promoted and transferred by sharing the experiences these digital nomads on digital platforms.

Religious rituals and food cultures are prominent in the ICH experiences of digital nomads. Digital nomads who stay longer in their destination than tourists can play an intermediary role in promoting and transmitting this heritage. The social media and other digital platforms enable digital nomads to share their experiences of cultural heritage and create a global dialogue and understanding through these experiences.

The experiences and expectations of digital nomads towards ICH require a reassessment of traditional approaches to the preservation and transmission of cultural heritage. By experiencing different cultural heritages and sharing these experiences through digital platforms, digital nomads contribute to the reinterpretation and reproduction of cultural heritage. This process reveals that cultural heritage is not limited to a particular community or geography, but is rather a global phenomenon, and therefore needs to be addressed from a global perspective.

It is one of the pioneering studies on the experiences of digital nomads towards intangible cultural heritage.

The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.

The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.

First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.

The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.

The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.

This paper aims at from the perspective of the social exchange theory (SET) gaining an understanding of how promotion of halal concept in Sweden is perceived by Swedish hoteliers.

A mixed-methods approach has been used consisting of 62 completed surveys with closed-ended and open-ended questions, follow-up comments and five in-depth interviews with hoteliers in the mid-Sweden region. Content analysis has been employed.

Three categories of meanings are the main findings: general perception, safeguarding Swedish secular values and financially unjustifiable have been discovered. Most of the respondents have been sceptical towards halal and Muslim-friendly hotel concepts due to financial and cultural challenges these two concepts have for the Swedish tourism and hotel industries. Based on the SET, this entails more costs than benefits and is especially at odds with Swedish-rooted secular values.

This study provides practical implications and increased knowledge for tourism stakeholders including hotels in Sweden.

This is one of the very few studies on halal tourism in Scandinavia and the first Scandinavian study on hoteliers' attitudes towards halal tourism.

This study aims to explore the use of time series analyses to examine changes in travelers’ preferences in accommodation features by disentangling seasonal, trend and the COVID-19 pandemic’s once-off disruptive effects.

Longitudinal data are retrieved by online traveler reviews (n = 519,200) from the Canary Islands, Spain, over a period of seven years (2015 to 2022). A time series analysis decomposes the seasonal, trend and disruptive effects of six prominent accommodation features (view, terrace, pool, shop, location and room).

Single accommodation features reveal different seasonal patterns. Trend analyses indicate long-term trend effects and short-term disruption effects caused by Covid-19. In contrast, no long-term effect of the pandemic was found.

The findings stress the need to address seasonality at the single accommodation feature level. Beyond targeting specific features at different guest groups, new approaches could allow dynamic price optimization. Real-time insight can be used for the targeted marketing of platform providers and accommodation owners.

A novel application of a time series perspective reveals trends and seasonal changes in travelers’ accommodation feature preferences. The findings help better address travelers’ needs in P2P offerings.

This study examines the effect of board characteristics on the tax aggressiveness of listed companies on the Colombo Stock Exchange in Sri Lanka.

The sample consists of 264 firm-year observations of non-financial listed companies in Sri Lanka from 2014 to 2019. The dynamic panel system GMM technique was used to test the hypotheses, and further analyses were performed using the propensity score matching technique.

All four effective tax rate measures' mean values were lower than the statutory tax rate, indicating the likelihood of tax planning. Whether board attributes are likely to mitigate tax aggressiveness is uncertain because the results are inconsistent and depend on the ETR measure. Similarly, the logistic regression results derived using the PSM approach are inconsistent, suggesting that board characteristics may have a limited effect on tax aggressiveness. Hence, the corporate governance-tax aggressiveness nexus is limited in the case of Sri Lanka.

This investigation is limited to non-financial listed companies in Sri Lanka and incorporates only four tax aggressiveness measures. Findings are imperative for policymakers, regulators, and professional bodies to improve corporate governance codes and rules to enhance organisational transparency toward corporate tax payments.

Aggressive tax planning by companies will reduce government tax revenue, hinder social progress, and cause public mistrust of large corporations and institutions.

This study provides insight into the nexus between corporate governance and tax aggressiveness in a middle-income economy in South Asia hit by an economic crisis where tax revenue has fallen and tax enforcement is weak.