bluuebunny/crossref_metadata_2025 huggingface dataset:
Essential Factors for the Advancement of the Yarn Manufacturing Sector in Sri Lanka: Implications of the Socio-Economic Environment
Authors:   University of Kelaniya, Sri Lanka, De Silva Madushi , Withanaarachchi Amila ,   University of Kelaniya, Sri Lanka
Published: February 2025

The textile and apparel sector are well-represented in the industrial sector of the Sri Lankan economy. It has become Sri Lanka’s largest export industry since 1986. Enhancing quality and decreasing expenses are the main priorities for the Sri Lankan apparel sector, highlighting the necessity for deliberate growth. More significant export revenue and considerable import expenditure on raw materials like yarn, fabric, etc., for apparel manufacturing, is a common phenomenon in the Sri Lankan apparel sector leading to less economic value generation. Thus, this paper studies the key factors affecting the advancement of the yarn manufacturing sector in Sri Lanka and the implications of the turbulent socio-economic environment. To address the identified research problem, this study proposes a conceptual framework through a systematic literature review, which identifies the essential factors for the advancement of the yarn manufacturing sector in Sri Lanka under the current socio-economic environment. The Partial Least Square Structural Equation Modelling (PLS-SEM) method was used to capture the interactive relationships among the key factors and the advancement of the yarn manufacturing sector in Sri Lanka. Data was gathered using questionnaires from employees in the yarn manufacturing industry, textile industry, and textile engineering students in Sri Lanka. The results show that the quality of raw materials, machines and technology and better investors have a positive relationship with the advancement of the yarn manufacturing sector in Sri Lanka.
Keywords: Apparel Industry, PLS-SEM and Yarn Manufacturing.
Reputation of Entrepreneur Mediates the Business Performance: A Study of Women-owned Small Enterprise in Sri Lanka
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Gunawansha Nimashi , Rajapaksha Neshan ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Witharana Nethula ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Ishara Nipun ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Wisenthige Krishantha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Pathirana Udeshika ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

This study intends to examine the impact of entrepreneurial network relationships on the success of women-owned small enterprises (WOSEs) in Sri Lanka. Knowledge sharing, innovation, transaction cost, and market opportunities all play a significant role as the network relationship's independent variables, with reputation representing as a mediator for the impact of innovation on women-owned small enterprises' performance. The present study used partial least square (PLS) structural equation modelling to examine the constructed hypotheses technique to examine the impact of entrepreneurial network relationships on WOSEs performance. The data used in this study is primary data collected from 384 women entrepreneurs registered in the chamber of commerce in Sri Lanka using a simple random sampling technique. The findings show that there is a significant positive impact of transaction cost, reputation, market opportunity, and knowledge sharing, on the performance of WOSEs. Innovation as a mediator also positively and significantly mediate the impact of knowledge sharing on performance. It implies that innovations strengthen the impact that knowledge sharing does on business performance. The findings of this study highlight the policymakers to take steps to improve the collaboration between other businesses which will indirectly improve the entrepreneurial network and ultimately improve the performance of WOSEs. Consequently, network relationships afford enterprises the opportunity to leverage embedded linkages to mitigate their vulnerabilities and attain economic benefits. Future studies could focus on businesses other than women-owned enterprises to examine the impact of entrepreneurial network relationships on small enterprise performance in Sri Lanka. Hence future research should establish how the entrepreneurial networks can help businesses to enhance competitive advantage and thus the performance of women owned enterprises.
Keywords: Reputation, Small Enterprises Performance and Women-owned Small Enterprises.
Impact of Dynamic Capabilities on Business Performance of SMEs during an Economic Crisis with reference to Western Province
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Haputhanthri Heshan , Jayawickrama Uduli ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Lakma Lahirunee ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Sellahewa Eshan ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Wisenthige Krishantha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayathilake Tharuka ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

The current economic crisis which is experiencing has a significant impact on the development and performance of most SMEs, making their existence even more susceptible. In the face of the current economic crisis, Dynamic capabilities (DCs) can be utilized as a survival mechanism to help organizations to increase the value of their businesses, get competitive advantages, and increase business performance in a changing business environment. Therefore, the purpose of this paper is to analyze the impact of three dimensions of DCs which are sensing, seizing, and reconfiguring on the business performance of SMEs during this economic crisis. In addition, this study investigates how DCs could impact business performance through Information technology (IT) adoption as a moderator. The quantitative approach is adopted, where a cross sectional survey was utilized to collect primary data from SMEs. Findings of the study based on a sample of 380 SMEs in western province and stratified random sampling method was utilized to select participants. Structural Equation Modeling (SEM) was used to analyze data by using Smart PLS 4 software. The results revealed that only sensing and reconfiguring capabilities have a significant impact on SMEs’ performance and IT adoption moderates the relationship between DCs and business performance during the economic crisis. Therefore, this study provides a great effort to quantitatively investigate the impact of three procedures of DCs and the moderate effect of IT adoption during the economic crisis. Furthermore, it conveys a better understanding of how SMEs could deploy their DCs to ensure higher levels of performance in periods of crisis. The results of this research will pave a path for them to successfully take effective strategic decision on the SMEs.
Keywords: Business Performance, Dynamic Capabilities, Economic Crisis and SME.
The Impact of Service Quality and Weather Condition on Tourists’ Guest Night Stays in Coastal Area of Sri Lanka: Perspective of Tourists
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Koralage Bawanthi , Fernando Thiloka ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Nilakshika Thuduhenage ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Madhavika Naduni ,   University of Tasmania, Australia, Jayasinghe Punmadara ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Ehalapitiya Sandali ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

This study aims to explore tourists' perceptions of service quality and weather condition of guest night stays in Sri Lanka and how they influence tourists’ decisions regarding the duration of their guest night stays. This study employed qualitative approach, having the data collected using purposive sampling. Researchers conducted in depth interviews with 18 foreign tourists in Colombo and Galle coastal area of Sri Lanka. The study revealed that both service quality and weather condition are significantly impacting tourists' decision of duration of guest night stays. Longer stays were associated with higher levels of service quality, emphasizing the pivotal role of service delivery in attracting and retaining tourists. In addition, weather condition was identified to be a major factor in determining guest night stays in the coastal area of Sri Lanka. This research offers valuable insights into Sri Lanka's coastal tourism, emphasizing the significance of excellent customer service and environmental responsibility in attracting and retaining tourists. The study's practical implications enable industry experts and policymakers to formulate strategies for promoting eco-friendly practices, ultimately enhancing the overall traveller experience in the coastal regions of Sri Lanka. By examining tourists' perceptions of service quality and weather condition's impact on guest night stays in Colombo and Galle coastal areas, this study contributes to existing literature on tourism in Sri Lanka. The results underscore the significance of sustainable practices and exceptional service in attracting visitors and fostering longer stays. Ultimately, these insights can aid in the formulation of effective plans to strengthen eco-friendly tourism and enhance Sri Lanka's appeal as a preferred destination for international travellers.
Keywords: Coastal Tourism, Service Quality, Tourist Guest Night Stays and Weather Condition.
Factors Impacting Job Satisfaction of Female Academic Staff in Sri Lankan State Universities
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Edirisinghe Gishan , Serasinghe Inura ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Amarasinghe Sasindu ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Galappatti Dithara ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Wisenthige Krishantha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayathilake Tharuka ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

The purpose of this research is to investigate the critical factors impacting job satisfaction of female academic staff in state universities. With a rising number of women entering academia, it is critical to identify the factors that contribute to their job satisfaction to build an inclusive and supportive work environment. Using a comprehensive literature review, survey questionnaires, this research investigates numerous factors that affect job satisfaction of female academic staff. The study was adopted a quantitative-method approach to gather data from a diverse sample of female academic staff members from various state universities with structured questionnaire is administered to a representative sample of female academic staff to gather quantitative data on their job satisfaction levels and identify key factors influencing their contentment at work. Using 330 sample size for the research according to the morgan table and using smart pls software for the data analysis. Data analysis method is structural equation modelling. According to the study's findings, several major factors have a substantial impact on the job satisfaction of female academic staff members in state universities. When it comes to their overall job satisfaction, work-life balance stands out as a key factor, with many participants citing difficulties juggling their professional and personal obligations. The study also emphasizes the value of inclusive and encouraging work environments and employee dedication. The results of this study have broad repercussions. Institutional leaders and politicians can conduct targeted interventions to improve working conditions and promote a more inclusive and supportive environment by studying the factors impacting job satisfaction among female academic staff at state universities. With a particular focus on the experiences of female academic workers, this study adds to the body of knowledge on job satisfaction in academia.
Keywords: Female Academic Staff, Job Satisfaction and State Universities.
The Role of Green Technology and AI in the Development of the Smart and Sustainable Town in ASIA: Singapore
Authors:   University of Kelaniya, Sri Lanka, Bandara Nawoda
Published: February 2025

This paper examines the challenges, consequences, and various actions of ASIA: Singapore’s use of green technology and Artificial Intelligence (AI) for their developments and examines the challenges, and recent trends when adopting AI and green technology for Singapore’s sustainability with green cities. Because in the face of globalization, Singapore has become a global high-capacity economic and technological innovation today. smart modern societies, smart urban planning, smart towns, and smart health care are the main key areas of current technological developments. This qualitative literature survey has collected data through websites, research articles, and journal articles. This study aims to focus examine how Singapore joined the ranks of advanced countries using green technology and artificial intelligence so quickly, and how it will affect the economic and technological development of ASIA. In the face of AI technological plans, it is shown that in the future, Singapore aims to become the world’s sustainable green cities and smart towns and have the largest economic capacity. Singapore’s growing and expected power will have both good and bad effects on Asian Countries. Singapore can achieve these desired goals by joining Asian countries together, opening more innovation opportunities, developing proposals from various organizations, and maintaining international cooperation with industries and the international market.
Keywords: Cooperation, Economic Growth and Environment.
Social Media Referral Marketing and Consumer Engagement in Sri Lanka's Cosmetics Industry: Unravelling the Moderating Impact of Social Ties
Authors:   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Rajapaksha Ashani , Sumanasinghe Damith ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Dharmasiri Tharushi ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Dasanayake Ayesha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayasuriya Nisha ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka, Jayasinghe Punmadara ,   Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
Published: February 2025

The aim of this research is to examine the influence of many variables, including brand, rewards, and celebrity endorsement, on consumer participation in social media referral marketing campaigns in the cosmetic sector. Furthermore, this study investigated the moderating effect of social ties on the influence of these factors on consumers' propensity to participate in referral marketing initiatives. A self-administered survey questionnaire was utilized to collect a total of 384 responses from individuals in Sri Lanka who utilize WhatsApp, Instagram, Facebook, and Linkedin. The researchers employed a convenience sampling strategy to choose the sample. The researchers conducted the final data analysis utilizing a structural equation model. The findings of this study indicate that the influence of brand and rewards on customer willingness to participate is greater compared to the impact of celebrity endorsement. Furthermore, based on the findings, it can be concluded that the presence of a social tie moderates only the impact of brand on customer willingness to participate, and it does not moderate the impact of rewards and celebrity endorsement on customer willingness to participate. This study corroborates certain findings from prior research while also presenting contradictory outcomes. Implications and suggestions for future research are discussed.
Keywords: Cosmetic Industry, Referral Marketing Programs and Social Media Referral Marketing.
Economic Crisis and Its Effects on ERP Adoption in Sri Lanka
Authors:   University of Kelaniya, Sri Lanka, Opatha Nelumi , Withanaarachchi Amila ,   University of Kelaniya, Sri Lanka
Published: February 2025

ERP (Enterprise Resource Planning) systems are comprehensive software platforms that are specifically designed to manage a wide range of a business's essential processes, including finance, accounting, human resources, procurement, inventory management and project management. In the event of a country facing forthcoming economic collapse, organizations often find it challenging to determine the technological innovation activities they should engage in. The proliferation of the IT industry and its associated value proposition has led to the adoption of ERP systems becoming a popular strategic decision for businesses in the contemporary world. However, organizations' perception affects their inclination to adopt new technologies during economic crises. Hence, identifying factors influencing ERP adoption and assessing crises' impact on such systems is crucial. This research endeavour aims to examine the factors that are likely to exert a significant influence on the adoption of ERP systems within the context of Sri Lanka. The study adopts the Technological - Organizational – Environmental (TOE) framework to provide a comprehensive understanding of the factors that affect the adoption of ERP systems in organizations in Sri Lanka. This study seeks to investigate how the factors identified impact the adoption of ERP systems and how the turbulent economic condition in Sri Lanka has affected it. Existing scholarly literature on ERP adoption during an economic crisis is relatively scarce, and thus, this study will fill a critical gap in the body of knowledge. Furthermore, this study will offer invaluable insights into the importance of the identified factors, ICT Infrastructure, Human Capital, Competitive Pressure, Demand for Products or Services and Trading Partners’ Readiness for business communities in Sri Lanka. Also, this will provide insights into how a country's finance affects ERP adoption, helping organizations make informed technology adoption decisions.
Keywords: Economic crisis, Enterprise Resource Planning systems, ERP adoption, Innovation and Technology, Technology adoption and PLS-SEM.
Unlocking Innovation for Net Zero: Constraints, Enablers, and Firm-Level Transition Strategies
Authors:   Dyson School of Design Engineering, Imperial College, London, Demirel Pelin
Published: February 2025

Transition pathways for net zero encompass seemingly insurmountable innovation challenges for the scaling of less mature techno-logical solutions such as hydrogen, materials substitution, and electrification as well as societal challenges to increase the market acceptability of these solutions. In this article, we present a conceptual framework which provides a firm-level perspective on net-zero innovation which has four unique characteristics, i.e., it is complex, systemic, urgent, and directional. The framework shows that the input, process, and output constraints that incumbent firms face in the net-zero transition can be tackled through four firm-level innovation levers – i.e., recombinative, collaborative, integrative, and socio-cognitive capabilities – which, in concert, act as enablers for firms to address these net-zero constraints. We conclude the article by outlining the framework’s main insights for firms’ innovation strategies for net zero and the policy implications. We also propose avenues for future research on net-zero innovation.
Effect of Maternal Heart Disease on Fetal and Maternal Outcome in Omdurman Maternity Hospital
Authors: Elhaj Roaa Mohamed Ahmed , Keer Zeinab Balla Ali , Kamil Kameel Kamal , ElShafie Sumia Mohammed
Published: February 2025

Pregnancy significantly impacts cardiovascular system, leading to 1% to 4% complications in women without preexisting cardiac abnormalities globally. This study aims to determine the effect of maternal heart disease on fetal and maternal outcomes. The cross-sectional study was conducted at Omdurman Maternity Hospital from February 2017 to January 2018, involving 146 patients with cardiac disease who had antenatal care in the hospital. Data was collected through a questionnaire after informed written consent, and analyzed using SPSS version 20 on a computer. The study revealed results of 146 patients, with 42.5% aged 23-35, primarily from rural areas. The majority delivered vaginally, with 32.6% undergoing a Cesarean section. The most common heart disease was rheumatic heart disease (67%), with mitral stenosis being the major lesion (41.8%). Congenital heart disease was 26%, with VSD affecting 81.6%. Acquired heart disease was seen in 7%, with 60% diagnosed as cardiomyopathies. Heart failure was the most common complications, with maternal deaths occurring in 3.4%. Perinatal complications included miscarriages (5%), terminations due to severe cardiac diseases (2%), preterm births (34.9%), IUGR (1.4%), congenital heart disease (2%), stillbirths (2%), and early neonatal deaths (2.7%). The study revealed that rheumatic heart disease and cardiomyopathies are common during pregnancy, posing significant maternal and fetal risks, including heart failure, prematurity, miscarriages, IUGR, still births, and early neonatal deaths. Future studies can focus on implementing systematic cardiac screening, enhance preconception counseling, and develop multidisciplinary protocols.
A Practical Model for Agile Project Management to Streamline Engineering Delivery in Energy Projects
Authors: Famoti Oluwakemi , Omowole Bamidele Michael , Nzeako Godwin , Muyiwa-Ajayi Titilayo Priscilia , Ezechi Ogechukwu Nwanneka , Mikki Ewim Chikezie Paul , Omokhoa Hope Ehiaghe
Published: February 2025

This paper explores the application of Agile project management methodologies in the energy sector, aiming to address key challenges such as project complexity, cost overruns, delays, and the need for technological integration. Traditional project management approaches, such as Waterfall, have proven effective for certain energy projects but often struggle to accommodate modern energy initiatives' dynamic and unpredictable nature. Agile principles, including iterative planning, stakeholder engagement, risk management, and continuous improvement, are proposed as a more adaptable and responsive solution. The paper presents a practical model tailored to energy projects, emphasizing the importance of cross-functional teams, regular feedback loops, and flexibility in scope. Furthermore, it discusses the integration of Agile with traditional project management approaches, such as Waterfall, and outlines the barriers to Agile adoption, including resistance to change and the need for specialized expertise. By examining the benefits of Agile, its application in similar industries, and its implementation challenges The study also suggests directions for future research to further explore the integration of Agile with digital tools, its impact across different energy sub-sectors, and its long-term effect on project success.
Innovative trading strategies for optimizing profitability and reducing risk in global oil and gas markets
Authors: Fiemotongha Joyce Efekpogua , Igwe Abbey Ngochindo , Mikki Ewim Chikezie Paul- , Onukwulu Ekene Cynthia
Published: February 2025

The global oil and gas markets are characterized by extreme price volatility driven by geopolitical events, supply-demand imbalances, and macroeconomic factors. Traditional trading strategies often struggle to maintain profitability while mitigating risks in such unpredictable environments. This study explores the development and implementation of innovative trading strategies that optimize profitability and reduce risk in global oil and gas markets. By leveraging advanced analytics, algorithmic trading, and real-time market intelligence, traders can improve decision-making, enhance risk-adjusted returns, and achieve greater market resilience. The research examines key components of effective trading strategies, including price forecasting models, quantitative risk management techniques, and adaptive trading algorithms. Machine learning and artificial intelligence (AI) are integrated to analyze historical data, detect emerging trends, and generate predictive insights for market positioning. Additionally, the study explores the role of hedging instruments such as futures, options, and swaps in reducing exposure to market fluctuations. A comprehensive framework is proposed that incorporates sentiment analysis, technical indicators, and fundamental analysis to optimize trading margins and maximize profitability. Furthermore, the study highlights the significance of real-time data analytics and high-frequency trading (HFT) in capitalizing on short-term market inefficiencies. Scenario-based simulations and stress testing are employed to evaluate strategy performance under different market conditions, ensuring robustness and adaptability. The research also discusses the importance of regulatory compliance, liquidity management, and risk mitigation techniques in sustaining long-term profitability. Findings suggest that integrating AI-driven forecasting models and quantitative trading strategies significantly improves accuracy in market predictions, leading to enhanced profitability and reduced risk exposure. The proposed strategies offer actionable insights for energy traders, financial analysts, and policymakers seeking to navigate the complexities of the oil and gas markets. By adopting a data-driven, technology-enhanced approach, traders can gain a competitive advantage and improve market efficiency. Future research should explore blockchain-based trading platforms and decentralized finance (DeFi) solutions for further optimizing oil and gas trading strategies.
Strategic contract negotiation in the oil and gas sector: approaches to securing high-value deals and long-term partnerships
Authors: Onukwulu Ekene Cynthia , Fiemotongha Joyce Efekpogua , Igwe Abbey Ngochindo , Ewim Chikezie Paul-Mikki
Published: February 2025

The oil and gas sector arecharacterized by high-stakes negotiations that require a strategic approach to securing lucrative contracts and fostering sustainable partnerships. This study examines the critical financial and strategic principles underlying large-scale contract negotiations, emphasizing methodologies that drive value optimization, risk mitigation, and long-term business success. Key negotiation strategies include leveraging market intelligence, employing structured deal frameworks, and utilizing advanced financial modeling to assess contract feasibility and profitability. A data-driven approach to contract structuring is essential for optimizing terms and securing favorable pricing mechanisms. Tactics such as cost-benefit analysis, risk-sharing agreements, and performance-based incentives enhance contract stability while aligning stakeholders’ interests. The study also explores the role of due diligence in assessing counterparties’ financial and operational capabilities, ensuring compliance with regulatory frameworks, and securing optimal legal protections. Negotiation success in the oil and gas industry hinges on adaptability, stakeholder engagement, and strategic foresight. Effective deal-making involves cross-functional collaboration between legal, financial, and operational teams to craft agreements that support operational efficiency and financial sustainability. Real-world case studies illustrate how a proactive approach to contractual risk management, including force majeure clauses, dispute resolution mechanisms, and environmental liability considerations, leads to resilient agreements that withstand market volatility and geopolitical uncertainties. Additionally, this study highlights how negotiation expertise has been instrumental in securing multi-million-dollar contracts, driving revenue growth, and fostering long-term partnerships with key industry players. Leveraging competitive positioning, relationship-building, and strategic compromise has facilitated the successful closure of high-value transactions while maintaining profitability and operational excellence. By synthesizing best practices in contract negotiation, this research provides actionable insights for industry professionals aiming to navigate the complexities of oil and gas agreements effectively. The integration of financial acumen, regulatory compliance, and innovative deal structures ensures that negotiated contracts remain competitive and sustainable in an evolving global energy landscape
Pengaruh ESG score terhadap nilai perusahaan dengan profitabilitas sebagai variabel moderasi
Authors: Nugraha Prima Ageng , Ilyas Guntoro
Published: February 2025

Perkembangan zaman semakin meningkatkan kepedulian manusia akan pentingnya aspek keberlanjutan. Salah satu bukti kepedulian tersebut adalah respons stakeholder terhadap keseriusan perusahaan dalam pengelolaan aspek keberlanjutannya. Oleh karena itu, perusahaan-perusahaan saat ini berusaha memberikan informasi non-keuangan dengan pengungkapan aspek keberlanjutan melalui laporan berkelanjutan. Penelitian ini bertujuan untuk meneliti seberapa besar pengaruh nilai laporan berkelanjutan tersebut terhadap nilai perusahaan. Metodologi penelitian yang digunakan menggunakan pendekatan kuantitatif. Dalam penelitian ini juga menggunakan profitabilitas sebagai variabel moderasi dan ukuran perusahaan sebagai variabel kontrol. Nilai perusahaan, profitabilitas, dan ukuran perusahaan diperoleh dengan mengolah data keuangan perusahaan tahun 2022 yang didapatkan dari www.stockbit.com dan www.finance.yahoo.com, sedangkan skor Environmental, Social, and Governance (ESG) diperoleh dari www.idx.co.id. Populasi dalam penelitian ini adalah perusahaan yang termasuk ke dalam LQ45 dan terdaftar di Bursa Efek Indonesia periode 2022 sebanyak 38 perusahaan dengan metode prupose-sampling. Penelitian ini memberikan kesimpulan bahwa nilai laporan berkelanjutan tidak memberikan pengaruh kepada nilai perusahaan. Namun, dengan dibantu profitabilitas perusahaan sebagai variabel moderasi, terdapat pengaruh yang tidak signifikan antara nilai laporan berkelanjutan dengan nilai perusahaan. Hasil dari penelitian ini diharapkan dapat memberikan insight bagi perusahaan dalam melakukan pengungkapan aspek keberlanjutannya, bagi stakeholder dalam pengambilan keputusan, dan juga bagi lembaga yang memiliki kewenangan seputar penyusunan standar laporan berkelanjutan.
BESARAN FORCE TERHADAP KEKUATAN SHOCK ABSORBER KONVESIONAL DENGAN PENDEKATAN SIMULASI
Authors: Maulana Dendy , Adi Nugroho Rizki , Safi'i Muhamad , Idrokul Fahmi Muhamad , Ramdhani Ahmad , Maulana Rozaki Syahrul , Ramadhan Hamdan , Juli Saputra Muhamad , Ashar Ilham Ariawan
Published: February 2025

Penggunaan kendaraan bermotor khususnya sepeda motor setiap tahunnya mengalami peningkatan yang sangat pesat. Salah satu bagian terpenting dari sepeda motor adalah suspensi. Penelitian tentang sebuah alat mekanik yang didesain untuk meredam getaran dan merupakan bagian penting dalam suspensi kendaraan bermotor yang menjadi prhatian utama. penelitian tentang pengaruh besaran force yang bekerja pada shock absorber konvesional terhadap kekuatan shock absorber konvesional dengan metoda simulasi dengan menggunakan aplikasi komputer Solidworks simulation. Besaran force yang bekerja pada shock absorber konvesional sebesar 50 N, 75 N, dan 100 N. Hasil penelitian menunjukkan bahwa shock absorber konvesional memiliki nilai tegangan von Mises, displacemen, dan strain yang tinggi seiring ditingkatkannya force yang bekerja. Hasil ini diharapkan dapat digunakan untuk referensi perancangan shock absorber konvesional dan dapat diterapkan untuk mempertimbangkan faktor kemanan pada shock absorber konvesional di lapangan.
Performance Optimization in Hybrid Computer Selection Using the ARAS Method: A Comparative Analysis
Authors: Kondra Sarika
Published: February 2025

A hybrid computer is a powerful computational system that combines the strengths of both analog and digital technologies. By integrating the continuous, real-time processing capabilities of analog systems with the precision and versatility of digital systems, hybrid computers excel in solving complex problems across various domains. These computers are capable of handling large-scale simulations, scientific modeling, and data-intensive tasks, making them ideal for applications in fields like weather forecasting, engineering design, and advanced scientific research. With their unique blend of analog and digital processing, hybrid computers offer a well-balanced and efficient approach to tackle a wide range of computational challenges.

The significance of hybrid computer research lies in its potential to revolutionize computation by combining the best features of analog and digital technologies. This approach opens new avenues for solving complex problems that were previously beyond the reach of conventional computers. Hybrid computers offer higher computational speed, enhanced precision, and the ability to handle real-time, continuous data processing, making them valuable tools in various scientific, engineering, and industrial applications. As technology advances, exploring the capabilities of hybrid computers can lead to breakthroughs in fields like climate modeling, advanced simulations, optimization, and artificial intelligence, contributing to advancements in science and technology on a global scale.

The Additive Ratio Assessment (ARAS) method utilizes both criteria and their corresponding weights in the calculation process to determine the optimal alternative. The ARAS method is a computational approach used in machine learning and pattern recognition. It is based on the Adaptive Resonance Theory (ART) neural network, which is designed to recognize and classify patterns in a self-organizing manner. ARAS builds on the ART model by incorporating an associative search mechanism, allowing it to efficiently retrieve and match stored patterns in real-time. This method is particularly useful for tasks involving rapid pattern recognition and retrieval, making it applicable in various fields, including image and speech recognition, information retrieval systems, and cognitive modeling.

Alternative: Performance, Battery Life, Graphics Performance, Storage Capacity, Weight, Cost.

Evaluation Parameter: Dell XPS 15 2-in-1, HP Spectre x360, Lenovo Yoga C940, Surface Book 3, Asus ROG Zephyrus G14, MacBook Pro (M1), Acer Swift 3.

Result: From the result it is seen that Surface Book 3 is got the first rank where as is the HP Spectre x360 is having the lowest rank.
Security First: Evaluating Cloud Services for Data Protection and Compliance
Authors: Mittapally Rakesh
Published: February 2025

For businesses looking to take advantage of cloud service, choosing the best cloud service provider is essential. It is necessary to take into account variables like scalability, reliability, security, and cost-effectiveness. It is crucial to evaluate the provider's infrastructure, service level agreements, support choices, and interoperability with existing systems in order to make a well-informed choice that satisfies particular business demands.

The impact that cloud service selection has on enterprises and organizations is what gives the topic study significance. Making informed choices about cloud service providers can have several advantages, including cost reduction, increased scalability, greater data protection, and simpler business processes. Organizations can choose cloud service providers that meet their unique needs by performing research on the topic. This results in more effective resource allocation, more productivity, and better overall performance. Additionally, research in this field assists in identifying new trends, best practices, and potential hazards related to the use of cloud services, assisting in the creation of frameworks and strategies for informed decision-making

Weighted sum method is a decision-making technique that assigns weights to various criteria and calculates a weighted sum to determine the best alternative based on those criteria.

Productivity, Accuracy Complexity, Flexibility, Material, utilization, Quality, Operation cost. Process Sand castings, Investment casting, pressure die casting, gravity die casting, and additive manufacturing are some examples.

Efficiency, accuracy, complexity, adaptability, material use, quality, and operating costs. From the result quotes of the day got 1st rank and least by historical stocks quotes First rank got by quotes of the day in cloud service
Analysis and Evaluation of Climate Risk Management Systems Using Gray Relational Analysis
Authors: Meduri Mr. Vedaswaroop
Published: February 2025

Climate change is further disrupting businesses through increasing climate risks such as flooding and severe winds, resulting in higher costs and lower revenues. In response, FM Global launched the Climate Risk Report, which addresses these climate risks and helps businesses improve their resilience while building long-term confidence. The report is aimed at executives, including CEOs, CFOs and risk managers, to help them make informed decisions about climate resilience investments. Research significance: This research is important as it improves climate risk management and decision-making for businesses facing increasing climate challenges. Combining data from over 60,000 engineering visits, AI and predictive analytics, the Climate Risk Report provides an accurate and comprehensive climate risk assessment.

This methodology helps businesses categorize risks into actionable insights and build resilience through data-driven choices. By emphasizing data quality and using advanced technologies, this research deepens the understanding of climate-related losses, helping companies reduce billions worth of potential damages and increase overall climate resilience. Methology: alternatives: 1. AI-Powered Resilience System, 2. Climate Risk Prediction Model, 3. Data Quality Profiling Framework, 4. Integrated Climate Analytics Dashboard, 5. Predictive Hazard Mitigation Platform, 6. Actionable Climate Risk Mapper, and 7. Scalable Resilience Engineering Toolkit. Evaluation criteria include Scalability, Recognition, Complexity, Adoption Difficulty. Result: According to the results, Predictive Hazard Mitigation Platform ranked highest, while Data Quality Profiling Framework ranked lowest. Conclusion: AI for Predictive Hazard Mitigation Platform has the highest value for Climate Risk Report in education according to the Gray Relation Analysis (GRA) approach.
WATER AVAILABILITY OF AGRO-LANDSCAPES OF THE FOREST-STEPPE ZONE OF THE KRASNOYARSK TERRITORY
Authors: Kudrin Vadim , Badmaeva Sof'ya
Published: February 2025

The article presents the results of studies on the calculation of the layer and volume of runoff from forest-steppe agricultural landscapes of the Krasnoyarsk Territory. The layer and volumes of annual runoff in the field areas of the Achinsk and Nazarovsky agricultural landscapes are calculated. Depending on the moisture content of the territory, the zonal average annual runoff layer in the forest–steppe regions of the Krasnoyarsk Territory ranges from 23-110 mm, varying from 65-230 mm for 1% of the supply to 6-55 mm for 95% of the probability of excess. The annual runoff layer from real agricultural landscapes decreases by 30-65% with its zonal values. Melting of snow reserves accumulated over the winter forms spring runoff, which averages from 6 to 40 mm, decreasing in forest-steppe agrolandscapes in some years to 1 mm. In the spring period, 60 to 90% of the annual runoff takes place in different water years. In the conditions of the forest-steppe zone, spring runoff is observed in the second half of March and in April with the onset of positive daytime temperatures. The average long-term value of the hc spring runoff on the agricultural landscapes of the Krasnoyarsk Territory ranges from 6 to 40 mm, depending on the availability and location of the agricultural landscape. Liquid precipitation (rain) accounts for a large proportion of the annual moisture content of forest-steppe areas, but is significantly less important in the formation of surface runoff from forest-steppe catchments and agrolandscapes. The rains that fell in late March and April contribute to an increase in spring runoff by no more than 5-10%. In the conditions of the forest-steppe zone of the Krasnoyarsk Territory, the most intense rains are observed in the second half of August, they have a torrential character.
DEVELOPMENT OF THE STUDENT BODY AS AN EDUCATIONAL ENVIRONMENT FOR THE TRAINING OF ECONOMISTS IN HIGHER EDUCATION
Authors: Semenko Irina
Published: February 2025

The research focuses on the transformational impact of the student environment in the professional development of future economists. The conducted analysis reveals the key mechanisms of professional competence formation through the prism of collective interaction of students. An in-depth study of educational practices and socio-psychological aspects of interpersonal communication has revealed effective methods of students' adaptation to professional activities in a group learning environment.
Tối ưu hóa điều kiện chiết xuất Saponin từ sâm Lai Châu (Panax Vietnamensis var. Fuscidicus)
Authors: Trung Thành Phạm , Như Ngọc Nguyễn , Kim Dung Vũ
Published: February 2025

Saponin là hợp chất có vai trò vô cùng quan trọng đối với sức khỏe con người. Vì vậy, chúng được sử dụng để đánh giá chất lượng nhân sâm. Nghiên cứu tối ưu hóa điều kiện chiết xuất để xác định hàm lượng saponin tổng số từ sâm Lai Châu đã được thực hiện. Các mẫu bột sâm Lai Châu chiết bằng dung môi kết hợp siêu âm, định lượng bằng phương pháp UV-VIS. Tối ưu hóa điều kiện tách chiết saponin tổng số theo phương pháp bề mặt đáp ứng và quy hoạch Box-Benken bằng phần mềm Design-Expert. Ma trận thực nghiệm gồm 17 thí nghiệm của 3 yếu tố khảo sát: tỷ lệ dung môi/nguyên liệu (5/1-30/1 mL/g), nồng độ ethanol (50-85%), thời gian siêu âm (10-60 phút). Điều kiện tối ưu mẫu bột là tỷ lệ dung môi/nguyên liệu 20/1 (mL/g), nồng độ ethanol 75% và thời gian siêu âm 47 phút; hàm lượng saponin tổng số thu được só với mẫu bột khô đạt 21,08 g/100 g. Hàm lượng saponin phân tích bằng HPLC với sâm Lai Châu đạt ginsenosid Rg1 6,3 g/100 g, Rb1 2,8 g/100 g và MR2 8,4 g/100 g. Kết quả của nghiên cứu đã cung cấp một phương pháp chiết xuất hiệu quả để đánh giá chất lượng sâm Lai Châu hoặc chiết xuất saponin từ sâm Lai Châu.
Xác định thông số tối ưu ảnh hưởng đến lực cản khí động học vỏ xe ô tô điện
Authors: Nguyễn Thị Lục  , Trần Công Chi  , Nguyễn Văn Tựu  , Nguyễn Khánh Nam
Published: February 2025

Bài báo nghiên cứu xác định ảnh hưởng của thông tốc độ xe (X1, km/h), cấu tạo góc nghiêng kính trước (X2, độ), góc nghiêng nắp capo (X3, độ) tới lực cản (Fd) khí động học của xe ô tô điện, với mục tiêu xác định được lực cản nhỏ nhất nhằm giảm mức tiêu hao năng lượng cho xe và nâng cao độ an toàn khi vận hành. Nghiên cứu đã sử dụng phương pháp phân tích phần tử hữu hạn (FEA) tìm ra miền giới hạn của lực cản, kết hợp với phương pháp bề mặt đáp ứng (RSM) để xác định giá trị tối ưu Fd . Kết quả phân tích ANOVA cho thấy mô hình hồi quy của Fd  có độ tin cậy giá trị cao với R2 = 0,9862, xác định được thông số có ảnh hưởng lớn nhất đến lực cản Fd là X1 là 66,28%, thông số X2 và X3 ảnh hưởng rất ít. Kết quả tối ưu cho thấy với X1 = 32,456 (km/h), X2 = 15,99 (độ), X3 = 14,97 (độ) thì giá trị lực cản Fd (min) = 77, 426 (N). Để xác minh hiệu quả của phương pháp, mô hình vỏ xe được thiết kế lại và phân tích FEA với cùng điều kiện. Kết quả đạt được Fd2 = 78, 696 (N) có sự chênh 1,613% nhỏ so với các giá trị tối ưu thu được, do đó phương pháp sử dụng và kết quả tối ưu có độ tin cậy.
CALCIUM AND VITAMIN D2 ABSORPTION AND EFFECT ON NITROGEN UTILIZATION OF MILK
Authors: Kaushik Ravinder , Sachdeva Bhawana , Arora Sumit , Kapila Suman , Sharma Vivek , Singh Ashish Kumar
Published: February 2025

Micronutrient fortified milk was developed and its bioavailability using in-vivo (rats) and in-vitro gastrointestinal simulated method was determined. In in-vivo studies, rats fed with fortified milk powders and its effect on nitrogen utilization indices were determined. Results showed that both calcium citrate and calcium phosphate showed similar absorption in all treatment groups viz. calcium, vitamin D2 and calcium+vitamin D2 groups. Vitamin D increased calcium absorption when fortified singly and in combination with both calcium salts. The weight of rats increased after every interval of week in comparison to day 0. The calcium and vitamin D fortified group showed significantly (p<0.05) highest protein efficiency ratio followed by vitamin D fortified group, calcium fortified group and control. Similar trend observed in net protein utilization and digestibility coefficient, however, both nutrient fortified group showed significantly (p<0.05) higher biological value than other three groups. Vitamin D has positive effect on protein digestibility indices; calcium has no or slight effect, whereas, when fortified in combination rats showed higher nitrogen utilization.
UNVEILING A THERMO-ALKALIPHILIC BACTERIAL ISOLATE AS POTENTIAL LIPASE PRODUCER FROM LOCAL WATERBODY, KOCHARVA, VAPI, INDIA: MEDIA OPTIMIZATION STUDIES
Authors: TAILOR APARNA JITESH , Bariya Nipun K. , Gadhvi Rekha R.
Published: February 2025

Our study reports thermo-alkaliphilic bacterial isolate C-1, with lipolytic potential, obtained from a local water body, located in Kocahrva village, Vapi, Gujarat, India, loaded with industrial effluents, identified as Bacillus subtilis, based on biochemical and molecular characterization (GenBank Accession no. MN068818). The present study is directed towards media parameters optimization for Bacillus subtilis C-1 lipase productio, using Plackett-Burman Design and response surface methodology. Various media variables viz., glucose, olive oil, MgSO4, ammonium chloride, KH2PO4, peptone, tryptone, and CaCl2 were tested using 16 runs design. In accordance with the Pareto chart, glucose, peptone, MgSO4 and CaCl2 were significant factors. The maximum lipase activity obtained was 21.48 Enzyme Units (EU)/ml. These significant media variables were further optimized for concentration, using randomized Central Composite Design, prepared using Design Expert (v.12.0.1). The lipolytic activity increased to 32.1 EU/ml, which was 1.49 times greater, with 3 gm% glucose, 3.5 gm/L peptone and 0.5 gm/L MgSO4. Biochemical characterization of partially purified C-1 lipase, demonstrated optimum pH 10.0 and optimum temperature for 55oC. Hence, it was accomplished that Bacillus subtilis C-1 strain can be a prospective lipase source for large scale production.