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This qualitative investigation is one of a series of sub-investigations under an umbrella project to develop Lampang Creative Livable Tourist City. The aim of this paper is to explore the integration of sustainable tourism into the development of Lampang, a city in northern Thailand. By collaborating with government and private agencies, academics, community leaders and the people of Lampang to reskill and upskill core community groups in the city, the researchers hope to enhance active citizenship, develop relevant skills and foster leadership networks that boost Lampang’s appeal as a sustainable tourism destination.

Data were gathered from brainstorming meetings, focus group discussions, observations and in-depth interviews. After identifying key characteristics required for creative citizens of Lampang city, the researchers developed and implemented pilot curricula with five target groups. Activities were developed to nurture creative leaders and promote innovative use of traditional culture and lifestyle.

The findings revealed that targeted local curricula can harness the cultural capital of the local community and equip locals with a modern toolkit to lay the foundations for a creative, livable tourist city.

This study’s originality lies in its grassroots approach to defining creative citizenship. It captures local community perspectives on what constitutes a creative citizen. Moreover, this research demonstrates how custom-designed educational initiatives can effectively nurture a creative and resilient urban ecosystem. This offers a blueprint for culturally informed urban regeneration, highlighting the role of sustainable tourism in enhancing the city’s attractiveness and livability for both residents and visitors.

This paper aims to investigate the implementation of the traditional Indonesian Dakon game Apps at UNAIR library called Dakon UNAIR Arena (DUNA).

Traditional games are an important part of a nation’s cultural heritage. However, with technological advances in the digital era, traditional games are often marginalized and forgotten because there are many computer and online-based games invented. Observation of the implementation of DUNA game at UNAIR library has been conducted on DUNA users.

DUNA game at UNAIR library gives a positive contribution to reviving the traditional Dakon game from Indonesian. Library users who participated in the DUNA game reported an increase in interest and participation in this game. Apart from that, implementing the DUNA increases a sense of pride in local culture and promotes cooperation and social interaction between library users.

The conclusion was that the DUNA game at UNAIR library can be an effective means of bringing back the traditional Indonesian Dakon game in the digital era. It is hoped that this research can encourage the application of other traditional games at library environments and society in general.

This study proposes a framework that demonstrates how the perceived value of augmented reality (AR) shopping influences the formation of psychological ownership of product and technology. The mediating role of flow experience and the moderating role of perceived control are identified.

An online survey study recruiting 480 participants who experienced AR shopping was conducted to test the hypotheses.

Functional value is negatively related to psychological ownership of product and technology whereas emotional value shows opposite effects. Flow experience mediates the relationships between functional/emotional value and psychological ownership of product and technology. Perceived control moderates the relationship between emotional value and flow experience, as well as the relationship between functional/emotional value and psychological ownership of product and technology.

The findings suggest the importance of AR’s functional and emotional values in developing psychological ownership of product and technology. To mitigate the negative effect of functional value, AR designers should focus on creating emotionally engaging apps that induce a flow experience, thereby enhancing psychological ownership. Furthermore, AR apps should be designed to empower users with a sense of control in the AR experience.

This research contributes to the AR and psychological ownership literature. It introduces a model that can explain both the formation of psychological ownership of product and psychological ownership of technology, thereby expanding the current understanding. By adding perceived values as antecedents of psychological ownership, it enriches the psychological ownership literature. Moreover, it enhances the flow experience literature by demonstrating the role of flow experience in the formation of psychological ownership of product and technology.

This study aims to investigate the impact of team boundary-spanning behaviours (BSBs) on innovation performance at both individual and team levels. The study specifically focuses on the mediating effects of knowledge sharing and creative self-efficacy, as well as the boosting influence of perceived superior trust.

This study employs a multi-level structural equation model to examine the data collected from 108 teams and 596 individuals. The aim is to investigate both the direct and indirect effects of BSBs on innovation.

The findings indicate that BSBs have a dual impact on innovation performance, both directly and indirectly through knowledge sharing and creative self-efficacy. Moreover, this impact is magnified by the perceived confidence from higher-ranking individuals.

The study indicates that managers should cultivate boundary-spanning behaviours (BSBs) and create a trusting environment in order to promote innovation. Facilitating the dissemination of knowledge and enhancing one's belief in their ability to be creative are crucial tactics.

This study provides fresh perspectives on how the behaviours of a team impact the individual results of creativity, emphasising the crucial role of trust in amplifying the beneficial benefits of BSBs on innovation. This study enhances the existing knowledge in the field of organisational behaviour and innovation management by providing a comprehensive analysis of the specific ways in which BSBs influence innovation performance.

While an increasing number of investors value socially responsible investment practices, Bitcoin has faced criticism for its carbon footprint resulting from excessive mining power consumption. By examining Bitcoin’s interconnectedness with environmental, social and governance (ESG) equities, this study aims to construct a socially responsible investment strategy for cypto investors.

This study uses wavelet analysis and a time-varying parameter vector autoregressive (TVP-VAR) model to uncover the interdependence between ESG equities and Bitcoin. This study computes the optimal ratio, showing that Bitcoin significantly reduces portfolio risk when combined with green stocks.

The results show that co-movements between green stocks and Bitcoin are low, indicating that they are suitable combinations for portfolio diversification. From an environmental perspective, this investment strategy offers a theoretical solution to mitigate the negative impacts associated with Bitcoin mining. It aims to address the dilemma faced by sustainability-conscious investors, who must navigate the economic payoff of Bitcoin against their commitment to green investment principles.

The findings can provide valuable insights for policymakers seeking to develop strategies that promote sustainable investments among crypto investors.

Research on ethical investment practices in the cryptocurrency market remains in the early stages of development. Ethical investors can benefit from including Bitcoin in their ESG equity portfolios.

The present study aims to investigate the non-linear relationship between trade and income inequality to address goal 10 of sustainable development goals (SDGs) using the Kuznets Curve (KC) framework for major emerging countries during 1991–2020.

For this purpose, recent econometric techniques, such as Common Correlated Effect (CCE) and Dynamic Common Correlated Effect (DCCE) estimators have been employed to deal with the cross-section dependence (CD) that arises in panel data, while the robustness of the study is checked through Driscoll–Kraay standard errors method.

The empirical results of the study confirm the existence of inverted “U-shaped” relationship between trade and income inequality suggesting evidence for the trade-led KC in the panel of emerging countries. Along with the non-linear model, the threshold value is estimated to be between 3.5 and 4% of gross domestic product (GDP).

The authors' findings support that trade contributes significantly toward reducing income inequality and helps in achieving goal 10 of SDGs. Hence, trade policies appear to be more egalitarian. The results widen the scope for further research and provide insights for regulators and policymakers in modeling trade policies and changing the status quo trade policy framework accordingly.

The present study is a pioneering attempt to examine the non-linear relationship between trade and income inequality under the KC framework in light of the Agenda 2030 for sustainable development. The study also considers other explanatory factors that have an impact on income inequality. Furthermore, the study considers other explanatory factors that have an impact on income inequality, and the attempt to estimate the threshold value for the trade-led KC is novel and interesting.

This paper aims to investigate markets’ integration using the capital enhanced equilibrium exchange rate (CHEER) model for seven, highly competitive, East Asian countries.

The sample consists of monthly observations, whereas unit root and cointegration techniques with structural shifts have been used.

The evidence shows that the weak form of the CHEER approach holds for Malaysia and Thailand. For China, Japan, Korea, Singapore and Taipei, only the uncovered interest parity condition is validated, implying capital markets integration. In contrast, for these five countries, the results indicate absence of goods’ markets integration. This outcome can be attributed to the impact of quite high non-tariff barriers and the Balassa–Samuelson effect.

To the best of the author’s knowledge, this is the first study that investigate markets’ integration in several East Asian economies, using the CHEER approach and more accurate price indices.

This study aims to characterize remote workers’ Airbnb experiences through the cognitive outcomes of their experiences and to consider the differences between long and short stays.

The structural topic model methodology was used to identify relevant topics. Data were collected from InsideAirbnb for Lisbon, Portugal and Austin, Texas, USA, for 2022 and early 2023, focusing on reviews that mentioned remote work.

The Airbnb experiences of remote workers and digital nomads are characterized as professionals who express mostly affective outcomes, but also have behavioral and nonaffective outcomes during their stay. In addition, the findings support the moderating role of length of stay and city.

This paper contributes to the literature by exploring how length of stay affects the priorities of remote workers on Airbnb, highlighting the different needs of long-term and short-term stays, and helping to consolidate and clarify the scattered research on customers’ long-term experiences in tourism and hospitality.

The Airbnb experience of remote workers is the highly valued as evidenced by the high rate of commending reviews indicating a willingness to stay there again. It is suggested that Airbnb hosts continue their helpful role and ensuring the functionality and availability of essential facilities and emphasizing neighborhood amenities specific to long and short stays. ChatGPT4 was found to be valuable for extracting data and assigning topic labels.

This study uses a novel structural topic model, augmented with ChatGPT4, to analyze Airbnb customer reviews that mention remote work, thereby improving inferences about the characterization of remote workers.

The purpose of this paper is to determine the most efficient hotels in the Indian hotel industry, the competitive positioning of these hotels, and the factors that affect their efficiency change.

This study conducts a two-stage analysis and uses data envelopment analysis (DEA) and Global Malmquist productivity index (MPI) approach in the first stage to calculate the managerial performance of a panel of 63 Indian hotels in 2019–2020 and their efficiency change from 2009–2010 to 2019–2020. Bootstrapped generalized least square (GLS) approach is applied in the second stage to evaluate the impact of contextual variables on efficiency change.

Using the results of the first stage analysis, the authors categorized the 63 Indian hotels into 7 distinct clusters. These clusters represent different levels of competitiveness and pace of growth. The GLS regression reveals a U-shaped relationship between hotel size and efficiency change and a negative relationship between pro social investments and efficiency.

This is the first study in the hotel industry that has used global MPI as a measure of efficiency change in the first stage and GLS in the second stage. In the Indian context, to the best of authors’ knowledge, no such study exists.

This paper aims to obtain a recent estimate of the cost of precautionary foreign reserve accumulation that emerging market and developing economies (EMDEs) had to endure to protect themselves against the risks of financial globalization. In addition, the study estimates the cost of excess reserves in emerging market economies (EMEs) using various reserve adequacy indicators that reflect potential sources of foreign exchange drains and vulnerability in EMEs' balance of payments.

This paper begins by explaining the accumulation of foreign reserves in EMDEs as a self-protection strategy against the risks of financial globalization. Next, it sheds light on the different types of economic costs of foreign reserve accumulation. Finally, it estimates the cost of foreign reserve accumulation in EMEs during the period (1990–2018) and in EMDEs during the period (1990–2015) due to data availability.

Results indicate that the cost of accumulating foreign reserves as a self-protection strategy in EMDEs and EMEs' was huge compared to their development financing needs. Applying various reserve adequacy measures demonstrates that many of the EMEs were holding inadequate precautionary reserves in 2018. Actually, this reflects the significant increase in external short term debt that many of the EMEs have witnessed since the eruption of the global financial crisis (2008). Thus increasing reserves in EMEs with weak reserve buffers and higher external debt is critical as they are more vulnerable to external shocks and capital flow reversals. Also given the estimated huge costs of accumulating foreign reserves, EMDEs should accompany it by other complementary self-protection policies and liquidity management policies to free up resources for productive investment.

The study contributes to the literature by estimating the cost of precautionary foreign reserve accumulation imposed on EMDEs during an extended period of time that covers a decade after the onset of the global financial crisis. Also to the authors' knowledge, this is the first study that estimates the cost of excess reserves in EMEs using various reserve adequacy indicators including the International Monetary Fund (IMF) assessing reserve adequacy (ARA) approach.