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Over recent years, the multi-stakeholder role in sustainable ecotourism within Asia has emerged as a crucial narrative for sustainable ecotourism management across countries on the continent. This trend is perhaps due to the fact that ecotourism is one of the most rapidly growing sectors within the tourism industry. However, to date, no reviews have provided a comprehensive analysis related to the role of multi-stakeholders in the achievement of ecotourism sustainability, particularly in the Asian context. This study aims to fill this knowledge gap by examining the current knowledge regarding multi-stakeholder involvement in sustainable ecotourism within Asia.

A systematic review procedure was followed. 320 articles were finalized, from which 34 related pieces of research were selected from the Scopus and Web of Science databases.

Three themes emerged from this paper. Recommendations were highlighted to enhance sustainable ecotourism. The study concluded that a more enabling research environment should be provided to improve discourse and encourage policy interventions.

No previous studies have explored the multi-stakeholder's role in achieving Asian sustainable ecotourism, indicating a critical gap to be fulfilled. This paper uniquely contributes to the field by providing a comprehensive review of the roles and challenges of multiple stakeholders in sustainable ecotourism across Asia and proposing innovative policy solutions tailored to the region's unique socio-economic and cultural context. Moreover, it puts forward potential solutions to bolster sustainable ecotourism within Asia, benefiting both stakeholders and the destination.

A popular convention in the political-economy literature is that causality runs from democracy to economic growth. That thinking has continued to evoke significant debates among scholars. This study aims to propose a new research experiment by investigating whether macroeconomic variables cause democratisation.

The study uses a panel data set of 48 carefully selected economies in Sub-Saharan Africa spanning 1991 to 2020 and uses the PVAR system generalised method of moment (GMM) approach.

With the application of three macroeconomic indicators: economic growth, full employment and balance of payment equilibrium, the study suggests that economic growth has a negative implication on the democratisation process and that the incentives that increase national income provide in the global South enable autocratic rulers to impede democratic growth. The Granger causality test demonstrates a unidirectional effect from economic growth to democracy. The eigenvalue stability condition, impulse response function and forecast-error variance decomposition all confirmed the validity of the findings with the PVAR system GMM. Finally, the study proposed policy and theoretical implications for the political stakeholders.

Robust development of economic institutions (particularly the anti-corruption and rule of law) in the global South is required to tame the potential for the state actors to turn public resources into personal use to further their parochial political interest in the form of perpetuating themselves in office which negates the ideals of democracy and social norms. Strong institutions could prevent the misuse of national income and enhance a good quality of life for the citizenry, making them grow confidence in the democratisation process.

The research paper makes an insightful contributions from the methodological perspective and the sampling perspective. The author uses a new research method, the PVAR system GMM becoming the first attempt of such a method to be applied in determining the causal effects of macroeconomic variables on democracy in the literature. Another relevant contribution of the study relates to the sample technique of selecting economies from the Sub-Saharan Africa with notable weak or slow democratisation process.

The complexity of property valuation, coupled with valuers’ cognitive limitations, makes some degree of error inevitable in valuations. However, given the crucial role that valuations play in the efficient functioning of the economy, there is a need for continuous improvement in the reliability of reported values by enhancing the quality of the decision-making process. The purpose of this paper is to review previous research on valuation decision-making, with particular interest in examining the approaches to improving the quality of valuation decisions and identifying potential areas for further research.

The paper adopts a narrative approach to review 42 research articles that were obtained from Scopus and Web of Science databases and through author citation searches.

Our findings show that existing literature is skewed towards examining the use of technology in the form of decision support systems (DSS), with limited research attention on non-technological (i.e. behavioural) approaches to improving the quality of valuation decisions. We summarise the non-technological approaches and note that much of the discussions on these approaches often appear as recommendations arising from other studies rather than original investigations in their own rights.

We conclude that studies investigating the effectiveness of the non-technological approaches to improving valuation decision-making are lacking, providing various avenues for further research.

This paper presents the first attempt to provide a comprehensive overview of non-technological approaches to improving the quality of valuation decisions.

This paper analyzes the impact of the perceived ability motivation opportunity (AMO) framework on talent retention via employee engagement, which act as a mediator. Moreover, the study also explores the moderating role of transformational leadership between employee engagement and talent retention.

The survey responses were gathered from 360 frontline employees of five-star hotels in the Indian hospitality industry. Structural equation modeling using SMART PLS-4 was used to test the measurement model, construct reliability and validity, and hypotheses were tested using partial-least square structural equation modeling.

The study results demonstrate that AMO-enhancing HR practices positively affect talent retention. Concerning the indirect effects, results indicate that employee engagement partially mediates the relationship between the perceived AMO framework and talent retention. The moderating effect of transformational leadership on the relationship between employee engagement and talent retention showed a significant interaction effect.

The study results suggest that hospitality organizations must focus on effectively designing and implementing HRM bundles catering to their employees’ abilities, motivation and desired opportunities. Also, industrial practitioners must focus on nurturing the transformational leadership style to ensure higher employee engagement and talent retention.

The paper offers significant implications for the hospitality industry struggling to retain talented professionals. Also, the study provides a comprehensive framework that suggests a positive influence of the AMO framework on talent retention among hospitality employees in the context of developing countries, in which there is minimal empirical research.

This integrative review was conducted to provide an overview of existing research on digital (in)equity and the digital divide in developed countries.

We searched academic and grey literature to identify relevant papers. From 8464 academic articles and 183 grey literature, after two levels of screening, 31 articles and 54 documents were selected, respectively. A thematic analysis was conducted following the steps suggested by Braun and Clarke and results were reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The results showed that most articles and papers were either from Europe or North America. Studies used a range of research methods, including quantitative, qualitative and mixed methods. The results demonstrated four major dimensions of the digital divide among various vulnerable groups, including digital literacy, affordability, equity-deserving group-sensitive content and availability or access to infrastructure. Among vulnerable groups, low-income people were reported in the majority of the studies followed by older adults, racial and ethnic minorities, newcomers/new immigrants and refugees, Indigenous groups, people with disabilities and women. Most reported barriers included lack of access to the internet, digital skills, language barriers and internet costs.

To the best of our knowledge, there have been limited attempts to thoroughly review the literature to better understand the emerging dimensions of digital equity and the digital divide, identifying major vulnerable populations and their unique barriers and challenges. This review demonstrated that understanding intersectional characteristics (age, gender, disability, race, ethnicity, Indigenous identity and immigration status) and their interconnections is crucial for analyzing the dynamics of digital (in)equity and divide.

Augmented Reality (AR) and Virtual Reality (VR) technologies possess the potential to transform the scenario of making real estate investment decisions through the immersive experience they offer. From the literature it was observed that the research in this domain is still emergent and there is a need to identify the latent variables that influence real estate investment decisions. Therefore, by examining the effects of these technologies on investment decision-making, the purpose of the study is to provide valuable insights into how AR and VR could be applied to enhance customers' property buying experiences and assist in their decision-making process.

From an extensive review of the literature four latent variables and their measure were identified, and based on these a survey instrument was developed. The survey was distributed online and received 300 responses from the respondents including home buyers, developers, AEC professionals and real estate agents. To validate the latent variables exploratory factor analysis was used whereas to establish their criticality second-order confirmatory factor analysis was used.

From the results, the four latent constructs were identified based on standard factor loadings (SFL) that is Confident Value Perception (CVP, SFL = 0.70), Innovative Investment Appeal (IIA, SFL = 0.60), Trusted Property Transactions (TPT, SFL = 0.58) and Effortless Property Engagement (EPE, SFL = 0.54), that significantly influence investor decision-making and property purchase experience.

This study contributes to the literature on real estate investment decisions by providing empirical evidence on the role of AR and VR technologies. The identified key variables provided practical guidelines for developers, investors and policymakers in understanding and leveraging the potential of AR and VR technologies in the real estate industry.