This study was conducted to examine the roles of interconnected stakeholders based on power and interests in Ecotourism Management Policy for Dalegan Beach, Gresik Regency, Indonesia using a qualitative method. Data were collected through observation, in-depth interviews, and focus group discussions with stakeholders. Furthermore, the identification of stakeholders interest in ecotourism development was based on the strengths, important positions, and influence of stakeholders categorized into several groups. The results showed that there were three categories of stakeholders, namely Main, Supporting, and Key. In the Village Government, Dalegan Beach Tourism Manager acted as a key player and the local community had the main role. Additionally, East Java Province Maritime and Fisheries Service, Gresik Regency Tourism and Creative Economy Office, Culture, Youth and Sports Office, Gresik Regency Public Works and Spatial Planning Service, and Commanditaire Vennotschaap Mahera (CV Mahera), the landowner, were recognized for lacking direct inclusion in policy matters. Different influences were reported on the legal decisions of the government to offer insights to policymakers in tourism governance. Subsequent study could examine the conflicts of interest among stakeholders.

The problem of flooding in the capital is still classified as a classic problem, but this problem still continues to emerge and becomes a trending problem during the rainy season in urban weather. This research aims to analyze the effectiveness of governance collaboration in overcoming the Jakarta flood problem. This research uses qualitative analysis and a content analysis approach. This research found that flood management using a collaborative governance approach was running optimally, the involvement of the private sector and the community was a good and rare synergy. support from international funding sources is used with effective management with the aim of using the budget on target. In the end, this research concludes that collaborative governance in Jakarta flood management is carried out optimally but requires sustainable collaborative efforts. This research has limitations in reaching the involvement of personal actors as a source of supporting information in disaster mitigation studies. Further research requires a more comprehensive discussion by reviewing the involvement of important actors in flood disaster mitigation.

The future of Dutch healthcare is a challenge that focuses on four aims: the ‘Quadruple Aim’. These aims concern: improving the quality and accessibility of care, enhancing patient experience, reducing healthcare costs and increasing the job satisfaction of healthcare professionals. Healthcare professionals play a major role in the realization of the first three aims. The pressure on healthcare and the scarce capacity forces us to treat this human capital with care. Satisfied employees are partly decisive for the success of an organization. At the same time, an organization expects optimal performance from its employees. This requires an active and involved attitude from the HRM department. The individual employee plays an intermediary role between HRM activities and organizational performance. In order to increase knowledge and understanding about this position, attention to the individual in the context of the organization is essential. In this article, the relationship between HRM, performance and well-being of employees and underlying theoretical explanation models are discussed. Recommendations were made on the contribution that HRM can make to the balance between employee and organizational interests.

Objective: This study aimed to examine the psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) in a sample of Moroccan students. Method: A total of 208 Moroccan students participated in this study. The dimensionality of the DASS-21 scale was assessed using exploratory factor analysis. Construct validity was assessed using the Stress Perception (PSS-10), State Anxiety (SAI), and Depression (CESD-10) scales. Results: Correlation analyses between Depression, Anxiety, and Stress subscales showed significant results. The exploratory factor analysis results confirmed the DASS’s three-dimensional structure. Furthermore, correlation analyses revealed positive correlations between the DASS-18 sub-dimensions and the three scales for Stress (PSS-10), Anxiety (SAI), and Depression (CESD-10). Conclusion: In line with previous work, the results of this study suggest that the DASS-18 reflect adequate psychometric properties, making it an appropriate tool for use in the university context.

While infrastructure provides necessary public services and is vital for the socio-economic development of a nation, public funds alone cannot finance all infrastructure needs in society, especially after the COVID-19 pandemic, where many countries are facing budget deficits. Although private financing schemes, such as public-private partnerships (PPPs) and land value capture, have been considered intensively, they have yet to produce adequate private capital flows to infrastructure projects due to a lack of incentives for private investors. Against the background, this paper proposes a new financing mechanism in which governments might divert some of the increased tax revenue from the spillover effects of newly constructed infrastructures to fund the private sector through grants or subsidies. The empirical work in Vietnam shows a significant increase in tax revenues after completing two expressways, supporting our idea about spillover effects, which includes small- and medium-sized enterprise (SME) development. This study’s results suggest that spillover effects can bring new opportunities for governments and multilateral development banks (MDBs) to implement infrastructure projects with greater private sector involvement in the region. It also proposes some financial schemes, such as land capture and financing for business startups, including SMEs, to enhance the spillover effects of infrastructure.

This study aims to apply mathematical modelling methods focusing on the fishing songs of Poyang Lake for its conservation and digital reform. Through the principles of abstraction, model building and parameter estimation of mathematical modelling, we will quantitatively analyse the efficiency of cultural heritage and the degree of influence of digital reform. Specific methods include time series analysis, data mining and optimisation models. These tools will provide theoretical support and quantify the complexity of the problem by introducing corresponding mathematical models and formulas.