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This study integrates the theory of planned behaviour (TPB) and value-belief-norm (VBN) theory to investigate tourists' intention and behaviour to visit green hotels in Malaysia.

A total of 160 valid questionnaire responses were collected via an online survey. The partial least square–structural equation modelling (PLS-SEM) technique was utilised to assess the study framework and the hypothesised relationship.

The study's results confirmed that tourists' intention to stay at a green hotel is directly influenced by their subjective norms and perceived behavioural control. Besides, the study confirms the insignificant relationship between green trust, personal norms and tourists' stay intention. On the other hand, perceived morals, responsibility, willingness to pay more and perceived consumer effectiveness were significant in explaining the customer's subjective norms, personal norms and perceived behaviour control.

The hotel industry may benefit from this empirical outcome to devise effective marketing strategies for retaining their customers, particularly in rejuvenating the impact of the COVID-19 pandemic on the industry.

This study provides valuable practical implications for green hotel operators to develop effective strategies to attract tourists to green hotel visits.

This study is the first to integrate the extended TPB and VBN theory to understand tourist intention to visit a green hotel. Notably, the extended TPB and VBN theory was practical and helpful in predicting tourist intention to visit a green hotel.

Financial health of a corporation is a great concern for every investor level and decision-makers. For many years, financial solvency prediction is a significant issue throughout academia, precisely in finance. This requirement leads this study to check whether machine learning can be implemented in financial solvency prediction.

This study analyzed 244 Dhaka stock exchange public-listed companies over the 2015–2019 period, and two subsets of data are also developed as training and testing datasets. For machine learning model building, samples are classified as secure, healthy and insolvent by the Altman Z-score. R statistical software is used to make predictive models of five classifiers and all model performances are measured with different performance metrics such as logarithmic loss (logLoss), area under the curve (AUC), precision recall AUC (prAUC), accuracy, kappa, sensitivity and specificity.

This study found that the artificial neural network classifier has 88% accuracy and sensitivity rate; also, AUC for this model is 96%. However, the ensemble classifier outperforms all other models by considering logLoss and other metrics.

The major result of this study can be implicated to the financial institution for credit scoring, credit rating and loan classification, etc. And other companies can implement machine learning models to their enterprise resource planning software to trace their financial solvency.

Finally, a predictive application is developed through training a model with 1,200 observations and making it available for all rational and novice investors (Abdullah, 2020).

This study found that, with the best of author expertise, the author did not find any studies regarding machine learning research of financial solvency that examines a comparable number of a dataset, with all these models in Bangladesh.

This study serves a dual purpose. First, it aims to explore the phase-wise progression that small and medium-sized enterprises (SMEs) and startups must undertake to become successful ecosystem partners, supporting large industrial firms in their circular transition. Second, it seeks to examine how these small firms manage change and foster collaborative cultures through strategies enabled by positive organizational scholarship (POS) during their phased evolution.

This study provides empirical evidence through a multiple case study-based approach involving 12 born-circular SMEs/startups from 5 diverse Indian industrial sectors. Insights were gathered by conducting two rounds of semi-structured interviews with 24 participants and one validatory seminar with eight participants.

This research identified three distinct and complementary phases – compare, compete and collaborate – that SMEs/startups can undergo to emerge as successful ecosystem partners. Each phase encompasses specific business practices, including various circular activities. These activities serve as clear indicators of the smaller firms’ potential competence in aiding larger firms during their circular transitions.

This paper contributes to the theoretical understanding of the circular economy by outlining a trajectory for SMEs/startups to establish successful partnerships. Another contribution is the application of POS as a positive change management paradigm to facilitate circularity. Additionally, the study highlights the context of developing nations, which remain underexplored compared to their developed counterparts in circularity initiatives.

This study aims to determine the factors that influence ethical banking behavior among millennials and Gen-Z in Malaysia.

A stratified sample of 525 millennials and Gen-Z of Malaysian banking customers was used. Extended ethical decision-making (EDM) model was tested using partial least square-structural equation model for the analysis.

The findings indicated that the engagement of millennials and Gen-Z in ethical banking is influenced by factors such as intention, judgment and awareness, which shaped both generations’ ethical banking behavior.

This study could be a central reference point and assist banking institutions in understanding the preferences of millennials and Gen-Z.

This study extends the previous EDM model that focused solely on consumer's belief systems. Three aspects differentiate this paper and contribute to its originality, namely, the uniqueness of millennials and Gen-Z behavior, incorporating new variables along with the EDM models and study in Malaysian context.

This desk research critically reviews the existing literature to be dialogued with interviews with several experts on multicultural education in Indonesia to provide input for policymaking and practical strategies. Through a systematic review of academic literature, policy documents and reports, this study aims to provide insights into the challenges and opportunities associated with multicultural education and propose action-based and actionable solutions to promote tolerance, understanding and unity among diverse cultural groups.

Using a systematic review methodology, this study analyzed existing literature and involved semi-structured interviews with several experts on multicultural education in Indonesia. By searching academic databases and online repositories, relevant literature was synthesized to generate insights into the current state of multicultural education, key challenges and potential solutions. Thematic analysis identified recurring themes and patterns across the literature, allowing for a nuanced understanding of the complexities surrounding multicultural education in Indonesia.

This research highlights the importance of promoting tolerance and unity among diverse cultural groups in Indonesian education, highlighting curriculum reform, teacher training and community engagement, despite institutional barriers and sociocultural prejudices.

The findings of this study suggest that to maximize the impact of multicultural education in Indonesia, there is a need for comprehensive teacher training programs, equitable resource allocation and localized curricula that reflect Indonesia’s cultural diversity. Policymakers should focus on developing strategies that address the unique challenges of implementing multicultural education in diverse regions, ensuring that all students have access to culturally relevant and inclusive education.

The successful implementation of multicultural education has the potential to promote social harmony and inclusivity in Indonesia by fostering a deeper understanding and appreciation of cultural diversity. Addressing the identified challenges and gaps could lead to more cohesive and tolerant communities, reducing social tensions and conflicts rooted in cultural misunderstandings. This research calls for sustained efforts to ensure that multicultural education becomes a cornerstone of Indonesia’s educational system, contributing to the country’s broader goals of unity in diversity.

This research contributes to existing literature on multicultural education by synthesizing insights from diverse academic sources. By systematically reviewing literature, this study offers a comprehensive understanding of challenges and opportunities in Indonesia and provides evidence-based recommendations for policymakers, educators and stakeholders. Emphasizing the importance of promoting tolerance and unity, this study offers practical strategies for realizing these goals in Indonesian society.

This study aims to describe the treatment preference, especially in relation to traditional medicine, modern health care and a combination of both, in diarrheal cases among the Tengger ethnic minority group.

A cross-sectional survey was conducted in all eight villages of Tosari District, Pasuruan Regency, East Java Province. Tengger people were major resident in the area for generations. Convenience sampling and a face-validated structured questionnaire were used to recruit and face-to-face interview 377 Tengger people.

The study found that modern health care was the dominant preference (52%, n = 196) selected by Tengger people when they have an episode of diarrhea, compared to traditional medicines and mixed approach. Most respondents opted to visit one facility or to stay at home (64.3%, n = 242). Statistical significant relationships were found between treatment choice and age (p < 0.001), sex (p < 0.001), religion (p = 0.011), distance (p < 0.001), educational background (p < 0.001) and job (p < 0.001). A clear pattern between treatment choice and age was revealed with younger groups tended to choose modern health care, while older groups more preferred the traditional approach.

This work could provide an insight that when the young Tengger people are having uncomplicated and common health illness, such as diarrhea, they tend to use modern treatment approach.

This study fulfilled an identified need to explore the trend of treatment approach across generations in the Tengger society as a model of the minor ethnic group in Indonesia.