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    Do Social Capital Have Impact on Willingness to Pay for Waste Management? Evidence from Contingent Valuation Studies

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    This study looks at the connection between people’s willingness to pay (WTP) for waste management services anf their social capital. The research utilitizes a linier regression model to examine the relationship between social capital and people’ desire to interact, making use of contigent valiation, a technique useful for assessing financial prices and preferences for non-market environmental assets. With an average WTP of IDR 17,000 (USD 1,09), the result show that 58.2% of the community is willing to pay for garbage management. The study finds a positive correlation between social capital and WTP, suggesting that strong community bonds, high levels of trust, and external family connections enhance the likelihood of supporting sustainable waste management initiatives. In addition to sociodemographic traits, the WTP's ability to manage waste is also impacted. Legislators and waste management experts should take note of these findings, which emphasize the need of fostering social capital to boost public involvement and support for sustainable waste management projects. Building trust, promoting community involvement, and establishing shared environmental principles can all contribute to the development of an environment that is conducive to effective waste management techniques. This study contributes to the expanding body of information about the socioeconomic drivers of waste management practices by highlighting the crucial role that social capital plays in creating WTP for waste management solutions

    Using the Capabilities of the AutoCAD Program to Solve Metric and Position Issues

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    The article proposes to “compare” the solution of metric and positional problems in engineering graphics, that is, to perform it in practice with the help of computer programs after doing it manually based on theoretical knowledge. Theoretical knowledge teaches how to read drawings, how to imagine objects spatially depending on their representation, what operations are necessary to solve the problem, and introduces the laws and rules. Computer graphic programs, on the other hand, ensure that the drawings are done quickly, cleanly and accurately

    Analysis of Real-Time Video for the Detection of Fire Using OpenCV

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    Because of the wide range of colours and textures present in visual landscapes, fire detection is a challenging undertaking. To get over this issue, several fire image categorization methods have been suggested; nevertheless, the majority of these systems depend on rule-based methods or characteristics that are manually created. Develop and propose an innovative technique for fire picture detection using deep convolution neural networks. Adaptive piece-wise linear units are utilised in the network's hidden layers in place of conventional rectified linear units or tangent functions. In addition, we will generate a fresh, compact dataset of fire photos to use for model training and evaluation. Increasing the amount of training images available through the use of conventional data augmentation methods and generative adversarial networks helps alleviate the overfitting issue that arises from training the network on a small dataset. In this study, we compare and contrast two methods for measuring the geometrical features of wildland fires: one that uses image processing to identify colours, and the other that uses Mk2ethods. Presented here are two novel rules and two novel detection methods that make use of an intelligent combination of the rules; their respective performances are then evaluated. About 270 million non-fire pixels and 200 million fire pixels taken from 500 wild terrain photos taken under different imaging conditions are used to run the benchmark. Color and presence of fire are used to classify pixels as fire, whereas average intensity of the associated image is used to classify pixels as non-fire. Because of this, the future of Metrologic systems for detecting fires in unstructured environments looks bright thanks to this technology

    Agency Theory and Value of Agro -Allied Firm in Nigeria

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    This study evaluates relationships between agency theory and firm value of quoted Agro- Allied firm in Nigeria. The levin, Lin and Chu (LLC) model was used in analysis for panel unit root, while Johnson’s Co –integration tested for long run relationship of variables. Other tests conducted include Error correction model and Pair wise Granger causality which were all employed in processing ex-post panel data obtained from the Nigerian stock exchange for the period 2014 through 2021.  Findings from results reveal that Agency cost has a significant and positive relationship with both dependent variables and also shows evidence of long run relationship. As such, the study concludes that agency Cost has an impact on firm value, and recommends that shareholders should be pro active in dealing with agency problems by resolving conflicts with the least possible agency cost ,and also formulate  strategic guidelines to cut down on agency costs since optimality rests  at the point where Agency cost is at the barest minimal and achieving this will obviously enhance  firm value of Agro Allied firms in Nigeria

    Implementing Problem-Based Learning To Enhance Students' Algorithmic Competence

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    This article explores the implementation of problem-based learning (PBL) technology to enhance students' algorithmic competence, a critical skill in the field of computer science and education. Despite the recognized importance of algorithmic competence, there remains a gap in effective teaching methodologies that engage students and foster deep understanding. This study employed a mixed-methods approach, incorporating both qualitative and quantitative data from pedagogical experiments conducted among second-year students at the Navoi State Pedagogical Institute. The findings indicate that PBL significantly improves students' ability to understand and apply algorithms, with the experimental group showing a 9.8% higher mastery rate compared to the control group. The results suggest that integrating PBL into the curriculum can activate cognitive processes, enhance creative thinking, and promote teamwork. These implications highlight the potential of PBL as a transformative educational strategy in developing essential algorithmic skills in students

    Using Time-Driven Activity-Based Costing (TDABC) to Rationalize Hotel Service Costs

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    In our world, the number of hotels that provide entertainment and tourism services is increasing, and most hotels are in fierce competition with each other. In order to prepare accurate data on the cost of the guest during his stay, a new method of cost accounting has been developed to keep pace with fierce competition and rapid technological progress. This method is represented by the method of cost accounting based on time-driven activities (TDABC). Its main objective is to test the impact of applying the cost system based on time-specific activities in rationalizing the costs of hotel services. The theoretical aspect showed the concept of this system, its advantages, criticisms and the components directed at it. The study adopted the case study method at the Agnar Tourist Hotel. It is a five-star hotel and the ability of the hotel employees to provide all the information necessary to develop the cost system used in the hotel. In order to prepare the research for the practical aspect, the researcher relied on the accounting data in the hotel records, the research sample and personal interviews with the hotel employees. The study was conducted in 2018. The study concluded that the hotel management can rely on the data issued by the time-driven activity-based costing (TDABC) system. The use of this system in the hotel distinguishes between practical energy and achievable energy. Because the cost of the guest is calculated in the system by estimating the practical energy of each of the activities carried out in the hotel

    Innovative Principles for Managing the Use of Mobile Software Tools

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    Mobile software tools (MSTs) are increasingly significant in modern life, influencing various sectors such as education, business, healthcare, and entertainment. Effective management of MSTs is crucial for maximizing their benefits while mitigating potential risks. The insurance industry, in particular, has been transformed by the rapid adoption of digital technologies, allowing companies to deliver services through mobile applications and online platforms. Despite the growing trend of online insurance sales, disparities in accessibility and the efficiency of policy acquisition remain prevalent due to the absence of mobile applications in some cases. This chapter delves into strategies for integrating corporate applications, with a focus on architectural methodologies, integration approaches, and systems available for streamlining insurance policy sales

    Motivation As A Key Driver For Performance Improvement Among Health Promotion Staff At Jalan Gedang Health Centre, Bengkulu City

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    This study explores the impact of motivation on the performance of health promotion staff at the Jalan Gedang Health Centre in Bengkulu City, addressing a gap in understanding the role of intrinsic and extrinsic motivators in public health contexts. Using a mixed-methods approach with quantitative surveys and qualitative interviews involving 50 staff members, the research aims to identify key motivational factors influencing performance. Results show that intrinsic motivation, such as personal growth and job satisfaction, and extrinsic factors, including recognition, incentives, and a supportive work environment, are significantly associated with enhanced performance. Staff who feel valued and supported demonstrate greater engagement, contributing to improved health outcomes in the community. The findings highlight the need for motivating work environments through leadership, recognition programs, and professional development, underscoring motivation’s potential to enhance service quality in public health

    The Effect of E-Services Quality and Security on Customer Satisfaction and Loyalty in Small and Medium-Sized Hotels

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    The hotel industry is critical to Jordan's economy, particularly small and medium-sized enterprises that provide affordable and convenient lodging for visitors and business travellers Hotels often lack the financial capacity to invest in technology comparable to that of larger establishments, resulting in a disparity between client expectations and actual service provision. This disparity may result in customer unhappiness and a diminished probability of repeat patronage, endangering the long-term viability of these enterprises. Consequently, investigating the influence of e-service quality on fostering client loyalty via satisfaction in small and medium-sized enterprises (SMHs) is essential for comprehending how small organizations can effectively utilize constrained resources to fulfill and surpass consumer expectations. This study seeks to address significant research deficiencies in the SMH sector. This heightened satisfaction affects subsequent behaviors, including the likelihood of repurchase and total consumer allegiance. When performance fails to meet expectations, dissatisfaction emerges, often resulting in negative word-of-mouth or a decrease in repurchase intentions. Expectation-Confirmation Theory offers a robust paradigm for examining the correlation between e-service quality and client loyalty, mediated by customer satisfaction. The application of Jordanian SMHs offers a robust theoretical basis for examining the correlation between digital service quality and customer loyalty. This study aims to address a significant vacuum in the literature by applying ECT to this particular sector, providing valuable insights for both scholars and practitioners in the hotel industry. The results will furnish explicit recommendations for SMHs to enhance their digital services, elevate client pleasure, and ultimately foster greater customer loyalty in a fiercely competitive sector

    Contemporary Financial Management. Systematic Literature Review (SLR)

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    This study presents a systematic literature review (SLR) focusing on the interplay between Good Corporate Governance (GCG), Corporate Social Responsibility (CSR), and their impact on financial performance and firm value. The primary objective is to examine how GCG and CSR practices influence company outcomes, particularly in the context of long-term sustainability and competitive advantage. The research methodology involves the collection and analysis of articles from national and international journals using keywords related to corporate management, financial performance, and CSR. The findings demonstrate a positive correlation between GCG, CSR, and firm value, with financial performance acting as a moderating factor. Companies that adopt robust governance and social responsibility practices tend to exhibit stronger financial outcomes and higher firm value. However, the study also identifies gaps in existing literature, particularly in the consistency of measurement techniques and the need for more research in developing countries. This research provides valuable insights for business practitioners and scholars, emphasizing the importance of integrating ethical practices with corporate management to enhance competitiveness and sustainable growth

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