The study examined the socio-demographic factors affecting access to and utilization of social welfare services in Yenagoa Local Government Area of Bayelsa State, Nigeria. Quantitative and qualitative approaches were adopted to select 570 respondents from the study area. Probability and non-probability sampling techniques were adopted in the selection of communities, and respondents. The quantitative data were analyzed using frequency distribution tables and percentages, while chi-square statistic was used to determine the relationship between socio-demographic variables and access to and utilization of social welfare services. The qualitative data were analyzed in themes as a complement to the quantitative data. This study reveals that although all the respondents reported knowing available social welfare services, 44.3% reported not having access to existing social services due to factors connected to serendipity variables, such as terrain condition, ethnicity and knowing someone in government. Therefore, the study recommends that the government and other stakeholders should push for the massive delivery of much-needed social welfare services to address the issue of welfare service deficit across the nation, irrespective of the ethnic group and whether the community is connected to the government of the day or not, primarily in rural areas.
Introduction: New energy vehicles (NEVs) refer to automobiles powered by alternative energy sources to reduce reliance on fossil fuels and mitigate environmental impacts. They represent a sustainable transportation solution, aligning with global efforts to promote energy efficiency in the automotive sector. Aim: The purpose of this research is to investigate the influence of social demand on the business model of NEVs. Through a comprehensive analysis of consumer preferences and market dynamics, the research aims to identify strategies for driving the sustainable growth of the NEV industry in respond to societal demands. Research methodology: We conduct a questionnaire survey on 2415 individuals and evaluated that questionnaire data by multifactor analysis of variance to examine individual consumer characteristics. We employed NOVA to evaluate the differences in market penetration factors. Additionally, a regression analysis model is utilized to examine accessibility element’s effects on the consumer’s intensions to buy, addressing categorical and ordered data requirements effectively. Research findings: This research demonstrates that middle-aged and adolescent demographics show the highest willingness to purchase NEV’s, particularly emphasizing technological advancements. Consumer preferences vary based on focus like NEV type, model and brand, necessitating tailored marketing strategies. Conclusion: Improving perception levels and addressing charging convenience and innovative features are vital for enhancing market penetration and sustainable business growth in the NEV industry.
Sustainability in road construction projects is hindered by the extensive use of non-renewable materials, high greenhouse gas emissions, risk cost, and significant disruption to the local community. Sustainability involves economic, environmental, and social aspects (triple bottom line). However, establishing metrics to evaluate economic, environmental, and social impacts is challenging because of the different nature of these dimensions and the shortage of accepted indicators. This paper developed a comprehensive method considering all three dimensions of sustainable development: economic, environmental, and social burdens. Initially, the economic, environmental, and social impact category indicators were assessed using the Life cycle approach. After that, the Analytic Hierarchy Process (AHP) method and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) were utilized to prioritize the alternatives according to the acquired weightings and sustainable indicators. The steps of the AHP method involve forming a hierarchy, determining priorities, calculating weighting factors, examining the consistency of these assessments, and then determining global priorities/weightings. The TOPSIS method is conducted by building a normalized decision matrix, constructing the weighted normalized decision matrix, evaluating the positive and negative solutions, determining the separation measures, and calculating the relative closeness to the ideal solution. The selected alternative performs the highest Relative Closeness to the Ideal Solution. Lastly, a case study was undertaken to validate the proposed method. In three alternatives in the case study (Cement Concrete, Dense-Graded Polymer Asphalt Concrete, and Dense-Graded Asphalt Concrete), option 3 showed the most sustainable performance due to its highest Relative Closeness to the Ideal Solution. Integrating AHP and TOPSIS methods combines both strengths, including AHP’s structured approach for determining criteria weights through pairwise comparisons and TOPSIS’s ability to rank choices based on their proximity to an ideal solution.
The purpose of this study is to determine the relationship between the exogenous variables (administrative support, career placement & employability, academic staff support, institutional factors, and information systems) as service delivery quality dimensions with satisfaction and moderating variable (academic and social integration) between endogenous variables (satisfaction and retention) among undergraduate students from Malaysian private higher education institutions. In order to accomplish the objectives proposed with hypotheses, a model reflecting the relationship between service delivery quality dimensions and satisfaction moderated by academic and social integration towards retention is applied. This empirical study focused on probability-stratified random sampling with a final sample size of 309 students. This study achieved statistically significant positive results by emphasizing academic and social integration as a moderating variable to achieve student retention by linking Perceived Performance Theory and Tinto’s Interactionist Theory from satisfaction to retention. Evaluation of the structural model on the coefficient of determination for the model’s predictive accuracy in this study produced an R2 = 0.85 for satisfaction, suggesting nearly 85% of the variance in endogenous latent construct satisfaction is explained by all the service delivery quality dimensions linked to it. As for retention produced R2 = 0.74, suggesting nearly 74% of the variance in endogenous latent construct retention is explained by all the service delivery quality dimensions linked together with satisfaction and academic and social integration as moderator. The model has a substantial effect with 0.76 in the Goodness-of-Fit index, indicating that the model has better explaining power.
This study aims to identify gaps in Indonesia’s national social health insurance scheme (Jaminan Kesehatan Nasional or JKN) in meeting the right to health for disabled persons in the country and to propose strategies to mitigate the gaps. This study employed descriptive qualitative methodologies. A questionnaire survey and structured interviews were undertaken from the period of October to December 2021, with a purposive sample of 317 disabled persons at their working age. Data collection also included on-site observations to sample of healthcare providers in six provinces and focused group discussions with key stakeholders. This study found that JKN is the primary source of hope for disabled persons. Nevertheless, approximately ten percent of disabled persons have been omitted from the scheme. Moreover, respondents of the survey expressed notably lower satisfaction level compared to the national average. Meanwhile, 25% of them also reported that JKN did not cover certain disability-specific benefits. The findings suggest that the national social health insurance scheme is not well prepared to offer disability-inclusive services. Thereby, policymakers should implement various interventions to improve the admission processes for disabled persons and to develop a system to identify disabled members based on their specific disabilities. Additionally, stipulating standards for disability-friendly minimum services for healthcare providers and incorporating the standards into the credentialing systems, providing regular training on disability-friendly services for healthcare personnel, also enhancing benefits coverage for disabled members in the Indonesian Case Base Groups (INA-CBGs) are the necessary strategies to mitigate the gaps.
The fear of ghosts is a common thing that can be managed as a social condition that turns out to have an impact on the continuity of forest maintenance. Applying a qualitative approach supported by in-depth interview methods, observation, and literature study. This research does not attempt to prove the existence of ghosts or discuss the psychological conditions of people who fear ghosts. The main finding of this research is the reality of the reproduction of stories and experiences of fear of ghosts, as well as the implementation of traditions or rituals related to community activities in the forest. Stories of fear of ghosts with various forms and versions of naming not only enrich the cultural life of the community but also encourage social conditioning in the form of togetherness to agree on the fear of ghosts as a means of creating a social system in order to carry out activities in the forest. The social system is identified in the form of pamali traditions or things that should not be done in the forest, balian rituals to eliminate or treat ghost disturbances, and besoyong rituals to utilize forest products, which then have an impact on the awareness to respect the continuity of these rituals and tradition. So, even though the fear of ghosts can be overcome psychologically and disappear quickly, the reality of respect for the social system related to the forest can still survive. In addition, ghost stories’ reproduction continues to be rolled out and adapted to the times. In turn, ghosts and forest rituals continue to be conditioned into a social system that has implications for forest conservation.
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