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Journal articles on the topic 'Sustainable DevOps'
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Zohaib, Muhammad, Ahmed Alsanad, and Areej Abdullah Alhogail. "Prioritizing DevOps Implementation Guidelines for Sustainable Software Projects." IEEE Access 12 (2024): 71109–30. http://dx.doi.org/10.1109/access.2024.3402832.
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Pramod Kumar Muppala. "Sustainable DevOps: Minimizing the carbon footprint of banking data centers." International Journal of Science and Research Archive 14, no. 1 (2025): 1780–93. https://doi.org/10.30574/ijsra.2025.14.1.2372.
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Sustainable DevOps methods drive results in banking, given data centers account for most energy usage and environmental damage. Our study demonstrates how sustainability practices join with DevOps techniques to lower the ecological impact of banking data centers while achieving performance and security requirements. The paper illustrates how microservices and containerization technology help banking data centers work better with their resources by automatically scaling and lowering electricity consumption. The evaluation compares Jenkins and Ansible with other automation tools to show how they simplify repetitive work and shut down systems when usage drops to save energy. The study proves why advanced monitoring tools are necessary to track real-time power usage so data center managers can redistribute or stop using servers when needed. The analysis shows how banks can use cloud solutions that depend on green energy and infrastructure architectures to build sustainability practices. Beyond new technology tools, this research pushes for cultural change by supporting business units that add environmental effect measures to their new product development process. This study examines how banking industries can use sustainable DevOps practices to reduce energy use and environmental damage while maintaining regulatory standards and stable operations. The study provides technical and action-based methods that allow DevOps processes to support ecological preservation for finance companies.
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Suharminto, Bayu Dwi, Alek Wijaya, Tata Sutabri, and Ahmad Syazili. "Enhancing Human Capital Management through DevOps Practices." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 12, no. 2 (2024): 219–30. http://dx.doi.org/10.33558/piksel.v12i2.9520.
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In the current era of digital revolution, one of the main factors influencing an organization's performance is human resources. This is because HR is an important asset that determines the productivity and efficiency of organizational performance. This study's goal is to create and construct an integrated human resources application using the DevOps (Development and Operations) approach. The DevOps method is a collabo rative approach that combines the process of software development and operations in a sustainable, fast, and integrated manner. The human resources application developed in this research includes various important functions, including HR management, job grade promotion planning, employment contract termination notification, and promotion notification. This research also provides solutions to the problems experienced by the Palembang Region Office of PT Bank Rakyat Indonesia in human resource management. By using the DevOps method as a method of designing human capital applications, it is expected to increase employee efficiency and productivity through integrated and effective human resource management. The DevOps approach also allows organizations to respond quickly to changing needs and provide sustainable added value to the organization.
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Zohaib, Muhammad, Ahmed Alsanad, and Areej Abdullah Alhogail. "Corrections to “Prioritizing DevOps Implementation Guidelines for Sustainable Software Projects”." IEEE Access 13 (2025): 20246. https://doi.org/10.1109/access.2025.3533237.
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Alamin, Zumhur, Dahlan, Khaeruddin, and Sahrul Ramadhan. "Evolving DevOps Practices in Modern Software Engineering: Trends, Challenges, and Impacts on Quality and Delivery Performance." Journix: Journal of Informatics and Computing 1, no. 1 (2025): 21–29. https://doi.org/10.63866/journix.v1i1.4.
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The adoption of DevOps has significantly reshaped modern software engineering by tightly integrating development and operations activities to achieve faster, more reliable, and scalable software delivery. Despite widespread industry adoption, empirical research on the quantifiable impact of DevOps practices remains fragmented. This study aims to investigate how contemporary DevOps practices influence software quality, delivery speed, and team productivity in real-world environments. A mixed-method approach was employed, combining a multi-case study across four mid-to-large enterprises with a controlled simulation of key DevOps performance metrics. Data were collected from interviews, DevOps telemetry tools (e.g., Jenkins, GitLab CI/CD, Docker, and Kubernetes), and automated system logs. The findings indicate that mature DevOps adoption is associated with a 45% increase in deployment frequency, a 38% reduction in lead time for changes, and a 32% decrease in change failure rates. Nonetheless, organizations face persistent challenges in integrating security (DevSecOps), managing technical debt, and fostering cultural alignment across siloed teams. The results confirm the strategic importance of Infrastructure as Code (IaC), continuous monitoring, and automated testing in optimizing DevOps outcomes. For practitioners, this study offers a practical roadmap for scalable and sustainable DevOps transformation. For researchers, it identifies critical gaps in socio-technical integration and intelligent automation that warrant further investigation. This research contributes to bridging empirical evidence and theoretical frameworks in the evolving field of DevOps in software engineering.
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Puneet, Sharma. "Serverless Computing in DevOps: Changing the Game—Scalability and Cost Management with Zero Complexity." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 5 (2019): 1–6. https://doi.org/10.5281/zenodo.14607775.
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The rapid rise of serverless computing is reshaping how software development and deployment are managed in DevOps environments. By decoupling infrastructure management and scaling, serverless computing enables greater agility, enhances scalability, and introduces cost efficiency in ways that were previously unattainable. This white paper explores how integrating serverless architectures with DevOps not only accelerates development cycles but also delivers promises of elasticity, minimal operational overhead, and real-time cost management. Despite its transformative benefits, serverless computing presents unique challenges in terms of monitoring, security, and vendor lock-in. This paper delves into the potential of serverless computing to simplify DevOps workflows, reduce complexity, and accelerate time-to-market while offering a sustainable path forward for managing costs in an ever-demanding digital landscape.
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Dragomirescu, Oana-Alexandra, Pavel-Cristian Crăciun, and Ana Ramona Bologa. "Enhancing Invoice Processing Automation Through the Integration of DevOps Methodologies and Machine Learning." Systems 13, no. 2 (2025): 87. https://doi.org/10.3390/systems13020087.
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In today’s rapidly evolving digital landscape, organizations are increasingly seeking systemic approaches to optimize their financial operations, particularly in invoice processing. Traditional methods of invoice management, which are heavily reliant on manual labor, not only incur significant costs but also contribute to inefficiencies, delays, and resource wastage. This article presents an integrated framework that combines DevOps methodologies and machine learning (ML) to transform invoice processing into a scalable and sustainable operation. By leveraging system dynamics and automation, the proposed Proof of Concept (PoC) addresses interconnected challenges, such as reducing labor dependency, enhancing operational intelligence, and minimizing environmental impact. The PoC framework includes dynamic model training, testing, deployment, and monitoring, enabling adaptive and resilient solutions aligned with evolving business needs. Findings from a survey highlight the potential of these integrated approaches to streamline processes, reduce errors, and optimize resource utilization while also identifying barriers to widespread adoption. By combining ML’s predictive power with DevOps’ agility, the framework not only advances automation but also provides a path toward sustainable financial operations in an interconnected and data-driven economy.
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Valanarasu, Dilip Prakash, and Dr Gaurav Raj. "DevOps Strategies for Maintaining and Upgrading Legacy E-commerce Platforms." International Journal of Research in Modern Engineering & Emerging Technology 13, no. 3 (2025): 318–27. https://doi.org/10.63345/ijrmeet.org.v13.i3.20.
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Legacy e-commerce platforms often underpin critical business operations yet struggle to meet modern demands for agility, scalability, and innovation. Integrating DevOps strategies offers a transformative approach that modernizes these systems while preserving their core functionality. This paper explores the integration of DevOps methodologies into legacy e-commerce environments to facilitate continuous deployment, efficient maintenance, and systematic upgrades. By leveraging automation tools, continuous integration, and containerization, organizations can streamline operations, reduce downtime, and improve customer experiences. The strategic application of DevOps enables seamless collaboration among development, operations, and quality assurance teams, fostering an agile environment that supports rapid response to market changes. Furthermore, the use of robust monitoring and feedback systems provides actionable insights into system performance and security vulnerabilities, ensuring that legacy platforms remain resilient and competitive. This approach also minimizes risks associated with disruptive system overhauls by allowing incremental improvements and comprehensive testing. The paper examines case studies that highlight successful transformations and identifies best practices, including stakeholder engagement, careful planning, and the adoption of scalable technologies. It further discusses challenges such as cultural resistance and technical debt management. Overall, the research underscores that DevOps is not merely a technical upgrade but a fundamental shift in organizational culture that drives innovation and sustainable growth. By embracing DevOps strategies, enterprises can unlock hidden potential within legacy e-commerce systems, transforming them into dynamic platforms capable of supporting future business needs and technological advancements. This comprehensive analysis contributes valuable insights for decision-makers seeking effective modernization and continuous improvement in legacy systems globally recognized.
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Naveen Vemuri, Venkata Manoj Tatikonda, Naresh Thaneeru. "Integrating Deep Learning with DevOps for Enhanced Predictive Maintenance in the Manufacturing Industry." Tuijin Jishu/Journal of Propulsion Technology 43, no. 4 (2023): 315–22. http://dx.doi.org/10.52783/tjjpt.v43.i4.5041.
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This research paper explores the transformative integration of Deep Learning (DL) with DevOps methodologies to enhance predictive maintenance in the manufacturing industry. Traditional maintenance strategies often lead to inefficiencies, increased downtime, and operational disruptions. Leveraging the analytical capabilities of DL models and the agile principles of DevOps, our study introduces a comprehensive framework aimed at proactive identification and mitigation of equipment failures. The materials and methods encompass data collection from diverse sources, including sensor data and historical records, coupled with preprocessing techniques to ensure data quality. Selecting appropriate DL models, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), enables accurate predictions of equipment failures. The integration pipeline follows DevOps principles, encompassing continuous integration, automated testing, and continuous deployment. Real-time monitoring and feedback mechanisms ensure model adaptability to evolving operational conditions. Collaboration between data scientists, software engineers, and maintenance teams facilitates a holistic approach to system integration. Addressing challenges of collaboration, model drift, and security considerations, our framework lays the foundation for streamlined, efficient, and adaptive predictive maintenance systems. As manufacturing industries embrace digital transformation, the integration of DL with DevOps emerges as a cornerstone for operational excellence, optimizing asset reliability, and contributing to the sustainable evolution of manufacturing ecosystems.
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Prudhvi Singirikonda. "Clean Energy Solutions in Data Centers: Leveraging Advanced Materials and AI for Sustainable DevOps Operations." International Journal for Research Publication and Seminar 14, no. 5 (2023): 512–20. http://dx.doi.org/10.36676/jrps.v14.i5.1542.
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This paper examines how artificial intelligence (AI) and advanced engineering materials contribute to reduced energy consumption in data centers, a key consideration for sustainable DevOps. The topic of study is to use AI to introduce efficiency within data center operations such as maintenance, workload distribution, and cooling systems. Furthermore, the paper discusses the effectiveness of integrating different materials within buildings, including phase change materials and cutting-edge thermal management approaches to minimize energy utilization. Simulation findings reveal the potential to achieve higher efficiency levels in energy use when AI and Advanced Materials are incorporated. Such findings are supported by real-time examples that illustrate its applicability and usefulness in actual working environments. It also examines challenges regarding deployment and reproducibility, presenting suggestions intended to enhance the sustainability of the data centers via technological developments.
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Dheerendra, Yaganti. "Sustainable Microservice Deployment in Azure Using KEDA and Carbon Intensity Metrics for .NET Workloads." European Journal of Advances in Engineering and Technology 12, no. 1 (2025): 24–28. https://doi.org/10.5281/zenodo.15241009.
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The rising demand for cloud-native applications has intensified the energy consumption of modern software systems, calling for more sustainable deployment strategies. This thesis proposes a carbon-aware scheduling framework for .NET microservices deployed in Azure, leveraging Kubernetes Event-Driven Autoscaling (KEDA) and real-time carbon intensity metrics. The approach dynamically scales workloads based on both application demand and the environmental impact of power usage, enabling green DevOps practices. By integrating carbon intensity APIs with Azure Container Apps and KEDA, deployment decisions are optimized to align with periods of lower grid carbon emissions. This ensures that microservices scale efficiently without compromising sustainability goals. The study evaluates the effectiveness of this framework by analyzing energy consumption patterns, emission reductions, and performance benchmarks across varied geographic Azure regions. Results demonstrate that carbon-aware scheduling can significantly reduce the carbon footprint of .NET applications while maintaining scalability and responsiveness. This research contributes to the growing field of sustainable software engineering, offering practical insights into eco-efficient cloud deployment architectures. The proposed model serves as a reference for developers and DevOps engineers seeking to balance performance with environmental responsibility in cloud-based microservice ecosystems.
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Babar, Zahir. "A STUDY OF BUSINESS PROCESS AUTOMATION WITH DEVOPS: A DATA-DRIVEN APPROACH TO AGILE TECHNICAL SUPPORT." American Journal of Advanced Technology and Engineering Solutions 04, no. 04 (2024): 01–32. https://doi.org/10.63125/3w5cjn27.
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The convergence of Business Process Automation (BPA) and DevOps represents a transformative shift in enterprise operations, aiming to bridge the gap between process efficiency and continuous software delivery. This systematic literature review investigates the role of BPA-DevOps integration in enhancing agile technical support systems, operational agility, and organizational scalability. Employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, a total of 147 peer-reviewed scholarly articles published between 2014 and 2024 were meticulously selected from six prominent academic databases. The selected studies span a range of domains, including IT services, SaaS, healthcare, finance, and public sector applications, offering a comprehensive cross-sectoral perspective. The review identifies that the synergistic adoption of BPA and DevOps contributes to streamlined deployment pipelines, automated incident resolution, enhanced customer support responsiveness, and measurable performance improvements such as reduced change failure rates and faster lead times. Notably, mature automation environments were found to yield greater consistency, resilience, and scalability across organizational functions. However, the review also surfaces critical research gaps—particularly the lack of unified implementation frameworks, inconsistent performance measurement indicators, limited empirical assessments of long-term automation impacts, and insufficient evaluation of ethical and socio-cultural considerations. Furthermore, the study emphasizes the pivotal role of organizational culture, leadership engagement, role redefinition, and continuous skills development in ensuring successful BPA-DevOps adoption. Through thematic synthesis, the review advances the academic discourse by integrating technical, operational, and managerial dimensions, while also advocating for future research that prioritizes inclusivity, longitudinal evaluation, and domain-specific adaptability. The insights generated from this review serve as a foundational reference for both scholars and practitioners seeking to design, implement, and assess sustainable, scalable, and value-aligned automation strategies within DevOps ecosystems.
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Darbari, Dr Manuj. "Enhancing Organizational Infrastructure Using Kubernetes." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48763.
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Abstract - This paper presents a zero-cost, fully automated cloud-native deployment framework using Kubernetes, targeting small teams, academic settings, and early-stage startups. The framework leverages freely available DevOps tools and platforms (GitHub Actions, Docker, Render, MongoDB Atlas) to orchestrate microservice-based web applications with full CI/CD capabilities. The goal is to reduce deployment complexity while improving scalability, reliability, and performance without requiring paid infrastructure. This solution offers a sustainable and robust deployment pipeline with minimal manual effort. The primary objective is to simplify the deployment process by minimizing its complexity while simultaneously enhancing key factors such as scalability, reliability, and performance. This approach eliminates the dependency on costly infrastructure, making it accessible and cost-effective without compromising on quality or efficiency. Key Words: Kubernetes, DevOps, CI/CD, Microservices, Zero-Cost, Deployment, Containerization
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CHUKURNA, OLENA, TETІANA TARDASKINA, NATALIA SOLIDOR, and SERHII BAZYKA. "METHODOLOGY MANAGEMENT OF AN IT TEAM IN THE FIELD OF INFORMATION AND TELECOMMUNICATION." Zeszyty Naukowe Wyższej Szkoły Technicznej w Katowicach 18 (2024): 171–88. https://doi.org/10.54264/0096.
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"The article discusses aspects of the methodology for managing IT teams in the field of information and communication technologies. It systematized approaches to managing IT teams. It analyzed the features of applying the methodology for managing IT teams depending on the goals of the project. The differences in management methodology in the IT field were characterized and the features of the use of traditional, iterative, and process-oriented approaches were identified. A comparative analysis of the advantages and disadvantages of traditional, iterative, and process-oriented IT team management was carried out. The areas of application of each IT team management methodology were defined. The main aspects of the formation of approaches to the management of IT teams were studied, which are part of the methodology of Waterfall, Agile, Scrum, KanBan, Lean, and DevOps. A comparative analysis was made by functionality, application areas, advantages, and disadvantages of digital IT project management methodology. The advantages of digital IT project management methodologies, such as Waterfall, and Agile, include increased labor productivity, reduced IT product time-to-market, improved IT product quality and functionality, and increased customer satisfaction. A conclusion was made regarding the high level of compliance with the strategy of sustainable development of the Agile, Lean, DevOps methodology"
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Dobaj, Jürgen, Andreas Riel, Georg Macher, and Markus Egretzberger. "Towards DevOps for Cyber-Physical Systems (CPSs): Resilient Self-Adaptive Software for Sustainable Human-Centric Smart CPS Facilitated by Digital Twins." Machines 11, no. 10 (2023): 973. http://dx.doi.org/10.3390/machines11100973.
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The Industrial Revolution drives the digitization of society and industry, entailing Cyber-Physical Systems (CPSs) that form ecosystems where system owners and third parties share responsibilities within and across industry domains. Such ecosystems demand smart CPSs that continuously align their architecture and governance to the concerns of various stakeholders, including developers, operators, and users. In order to satisfy short- and long-term stakeholder concerns in a continuously evolving operational context, this work proposes self-adaptive software models that promote DevOps for smart CPS. Our architectural approach extends to the embedded system layer and utilizes embedded and interconnected Digital Twins to manage change effectively. Experiments conducted on industrial embedded control units demonstrate the approach’s effectiveness in achieving sub-millisecond real-time closed-loop control of CPS assets and the simultaneous high-fidelity twinning (i.e., monitoring) of asset states. In addition, the experiments show practical support for the adaptation and evolution of CPS through the dynamic reconfiguring and updating of real-time control services and communication links without downtime. The evaluation results conclude that, in particular, the embedded Digital Twins can enhance CPS smartness by providing service-oriented access to CPS data, monitoring, adaptation, and control capabilities. Furthermore, the embedded Digital Twins can facilitate the seamless integration of these capabilities into current and future industrial service ecosystems. At the same time, these capabilities contribute to implementing emerging industrial services such as remote asset monitoring, commissioning, and maintenance.
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Rapolu, Upesh Kumar. "Implementing Hybrid Cloud Solutions Using Azure Arc to Integrate On-Premises and Cloud Environments." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–6. https://doi.org/10.55041/ijsrem13098.
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The following research paper has provided the importance of implementing a hybrid cloud solution using Azzue Arc and integrating it into on-premises and cloud environments. At the same time, the key benefits which have been observed are minimising the overall costs, robust compliance and security, centralised management and being scalable and flexible. Furthermore, challenges have been identified as keeping track and location of the resources and controlling the costs have been mitigated by the augmentation of strategies such as the application of robust security and control and monitoring and troubleshooting in hybrid cloud environments has navigated the path for the organisations to stay sustainable in the upcoming days. Keywords: Azure Arc, Hybrid Cloud Solutions, On- Premises, Cloud Environments, DevOps
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Chevuri, Rajeev Reddy. "Demystifying MLOps: Core Principles for Scalable Machine Learning." International Journal of Advances in Engineering and Management 7, no. 3 (2025): 884–90. https://doi.org/10.35629/5252-0703884890.
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This article examines Machine Learning Operations (MLOps) as a critical discipline bridging the gap between experimental model development and production-ready AI systems. By integrating principles from DevOps, data engineering, and machine learning, MLOps creates structured frameworks that streamline the entire machine learning lifecycle. The content explores core infrastructure components including cloud computing, containerization with Docker, and orchestration through Kubernetes that form the foundation for scalable AI solutions. It details how continuous integration and deployment pipelines specifically adapted for machine learning automate workflows from data validation through model deployment, while Infrastructure as Code transforms environment provisioning. Feature stores and model registries further enhance governance and reproducibility. The article addresses key scalability challenges in managing large-scale data, implementing distributed training, and deploying auto-scaling solutions for variable workloads, providing a comprehensive overview of how organizations can establish sustainable, efficient machine learning capabilities in production environments.
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Matenga, Alice Elizabeth, and Khumbulani Mpofu. "Blockchain-Based Cloud Manufacturing SCM System for Collaborative Enterprise Manufacturing: A Case Study of Transport Manufacturing." Applied Sciences 12, no. 17 (2022): 8664. http://dx.doi.org/10.3390/app12178664.
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Sheet metal part manufacture is a precursor to various upstream assembly processes, including the manufacturing of mechanical and body parts of railcars, automobiles, ships, etc., in the transport manufacturing sector. The (re)manufacturing of railcars comprises a multi-tier manufacturing supply chain, mainly supported by local small and medium enterprises (SMEs), where siloed information leads to information disintegration between supplier and manufacturer. Technology spillovers in information technology (IT) and operational technology (OT) are disrupting traditional supply chains, leading to a sustainable digital economy, driven by new innovations and business models in manufacturing. This paper presents application of industrial DevOps by merging industry 4.0 technologies for collaborative and sustainable supply chains. A blockchain-based information system (IS) and a cloud manufacturing (CM) process system were integrated, for a supply chain management (SCM) system for the railcar manufacturer. A systems thinking methodology was used to identify the multi-hierarchical system, and a domain-driven design approach (DDD) was applied to develop the event-driven microservice architecture (MSA). The result is a blockchain-based cloud manufacturing as a service (BCMaaS) SCM system for outsourcing part production for boxed sheet metal parts. In conclusion, the BCMaaS system performs part provenance, traceability, and analytics in real time for improved quality control, inventory management, and audit reliability.
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Alaria, Satish Kumar, and Puja Agarwal. "Cloud Cost Management and Optimization." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 10, no. 3 (2019): 1173–76. http://dx.doi.org/10.61841/turcomat.v10i3.14397.
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As organizations increasingly migrate to cloud environments, the need to manage costs becomes paramount effectively and efficiently. This paper explores the basic principles and techniques of Cloud Cost. Management and Optimization, focusing on Amazon Web Services (AWS) as a key case study The study delves into the understanding of cloud pricing models, construction emphasize matching pricing plans to specific projects for optimal costs Tools such as Explorer facilitate, search and its role in identifying usage and inefficiencies, explore cost controls with budget constraints and governance systems include implementation to reduce unexpected cost overruns and enhance financial predictability with automation and DevOps They are discussed as important factors in streamlining processes, resources efficiency, and improving overall costs. Through a comprehensive analysis of these principles, the study aims to provide organizations with insights they can use to manage the complexity of cloud cost structures, driving sustainable economic growth and maximize the benefits of cloud computing.
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Murali Ajit Varma. "Architecting for Digital Inclusion: Building and Training for Accessible Web Systems at Scale." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2744–55. https://doi.org/10.32628/cseit251112286.
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Digital inclusion has emerged as a critical architectural consideration in modern web development, fundamentally reshaping how organizations approach system design and implementation. This article presents a comprehensive framework for building accessible web systems at scale, exploring the integration of accessibility throughout the technical stack. It examines component-level architecture patterns, performance optimization strategies, and DevOps practices that enable truly inclusive digital experiences. Through analysis of real-world implementations and industry case studies, this study demonstrates how systematic approaches to accessibility can be effectively scaled across large organizations while maintaining performance and developer efficiency. It also indicates that early integration of accessibility considerations into architectural decisions leads to more sustainable and inclusive systems, reducing technical debt and improving user experiences across diverse populations. Drawing from established research and industry practices, this article contributes to the growing knowledge on scalable accessibility implementation, offering practical insights for technical leaders and development teams building enterprise-scale accessible web systems.
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Gottam, Jyotheeswara Reddy. "AI-Driven Quality Assurance: Integrating Generative Models, Predictive Analytics, and Self-Healing Frameworks in Software Testing." European Journal of Computer Science and Information Technology 13, no. 34 (2025): 1–12. https://doi.org/10.37745/ejcsit.2013/vol13n34112.
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This article investigates the transformative impact of artificial intelligence on software quality assurance practices, focusing on three critical innovations: generative AI for automated test script creation, machine learning-based predictive defect analytics, and self-healing test automation frameworks. Through a comprehensive analysis of implementation patterns across healthcare, fintech, and e-commerce sectors, the article demonstrates how these technologies collectively establish a continuous quality feedback loop that spans the entire software development lifecycle. The article examines how large language models facilitate contextually appropriate test case generation, how predictive algorithms identify high-risk code modules before deployment, and how adaptive frameworks mitigate maintenance overhead associated with evolving interfaces. The article reveals significant efficiency gains while highlighting implementation challenges related to ethical AI governance, toolchain integration, and effective human-AI collaboration in DevOps environments. This article contributes both theoretical frameworks and practical guidelines for organizations seeking to leverage AI technologies for enhanced software quality, providing a foundation for future research on test fairness metrics and sustainable automation practices.
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Sridhar Rangu. "Analyzing the Impact of AI-Powered Call Center Automation on Operational Efficiency in Healthcare." Journal of Information Systems Engineering and Management 10, no. 45s (2025): 666–82. https://doi.org/10.52783/jisem.v10i45s.8901.
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This paper concerns how artificial intelligence is used to automate call center systems in the healthcare service and how this would impact operational outcomes. The major operational elements of health cloud, service cloud voice, and Einstein Co-Pilot for the health call centers are to improve services and reduce costs as the healthcare services are expanding. It shows how AI manages patient dialogue by adopting systematic procedures using CRM strategies in developing service platforms. The DevOps, coupled with the Agile/Safe procedure maintenance approach of the best practices, is efficient for maintaining continuous integration and optimization of these AI solutions. Another study touches on the practical improvements in a medical facility that enhance phone contact efficiency and the overall patient wait. The article says healthcare institutions face the challenges of system integration and implementation for these technologies that both touch on system integration and training and financial issues. AI automation can make healthcare call centers successful and sustainable by being used in a supervised manner to bring huge advantages to the work of the call centers.
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Gräßler, Iris, and Jens Pottebaum. "Generic Product Lifecycle Model: A Holistic and Adaptable Approach for Multi-Disciplinary Product–Service Systems." Applied Sciences 11, no. 10 (2021): 4516. http://dx.doi.org/10.3390/app11104516.
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The linear economic model behind contemporary product lifecycle representations contradicts planetary boundaries and the idea of sustainability. At the same time, Circular Economy (CE) driven models lack consideration of profound technological insights. Based on observations in research and the application of projects of different industries, a quantitative and qualitative literature analysis is applied to identify both strengths and shortcomings of current lifecycle models. These findings are used to create lifecycle model portfolios and to derive a generic Product Lifecycle model (gPLC). The gPLC is validated by three industrial cases based on collaborative research projects. In practice, resource and energy consumption as well as waste production and emissions can be minimized with the help of established methods not only by economists, but also by engineers. Transparency of material and information circularity practically implies the opportunity to implement, for instance, Minimum Viable Products and DevOps approaches. The originality of the gPLC is characterized by three main aspects: first, material and information flows of multi-disciplinary product–service systems are recognized as the foundation for a modern CE; second, a differentiation between product classes and instances is elaborated to stimulate sustainable design of material core products and digital CE business models; and third, the stakeholder perspective is expanded from manufacturer and consumer/user to further perspectives, such as recycler and society.
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Akoh Atadoga, Uchenna Joseph Umoga, Oluwaseun Augustine Lottu, and Enoch Oluwademilade Sodiya. "Advancing green computing: Practices, strategies, and impact in modern software development for environmental sustainability." World Journal of Advanced Engineering Technology and Sciences 11, no. 1 (2024): 220–30. http://dx.doi.org/10.30574/wjaets.2024.11.1.0052.
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Advancing Green Computing: Practices, Strategies, and Impact in Modern Software Development for Environmental Sustainability explores the evolving landscape of green computing within the realm of software development, emphasizing the imperative for environmentally sustainable practices. In response to escalating environmental concerns, the computing industry is undergoing a paradigm shift towards reducing its carbon footprint and mitigating ecological impacts. This shift is particularly crucial in software development, given its pervasive influence on technological ecosystems. The review delves into the multifaceted dimensions of green computing, elucidating various practices and strategies that are instrumental in fostering environmental sustainability. From optimizing code efficiency to embracing energy-efficient computing architectures, the review underscores the diverse approaches available to software developers in minimizing resource consumption and carbon emissions. Furthermore, it examines the broader ramifications of these practices, emphasizing their potential to reshape the software industry's ecological footprint and contribute to global efforts for environmental conservation. Moreover, the review highlights the symbiotic relationship between green computing and modern software development methodologies. It elucidates how principles such as agile development and DevOps can be synergistically integrated with green computing practices to enhance sustainability throughout the software development lifecycle. By adopting an interdisciplinary approach that integrates environmental considerations into software design, development, and deployment processes, organizations can catalyze transformative changes towards a greener computing ecosystem. The review also investigates the tangible impact of green computing practices on environmental sustainability metrics. Through case studies and empirical analyses, it showcases the efficacy of various strategies in reducing energy consumption, carbon emissions, and electronic waste generation. Additionally, it discusses the economic and societal benefits accrued from adopting environmentally sustainable practices, ranging from cost savings to enhanced corporate social responsibility. Advancing Green Computing: Practices, Strategies, and Impact in Modern Software Development for Environmental Sustainability provides a comprehensive overview of the evolving landscape of green computing within the context of software development. It elucidates the myriad opportunities and challenges associated with fostering environmental sustainability in the computing industry and underscores the transformative potential of integrating green computing principles into modern software development practices.
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Kuriakose, John Linton. "Green reliability engineering: Leveraging carbon-aware AI for sustainable SRE practices in cloud platforms." International Research Journal of Modernization in Engineering, Technology and Science 7, no. 04 (2025): 9001–6. https://doi.org/10.56726/IRJMETS74423.
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As cloud-native systems continue to scale, Site Reliability Engineering (SRE) teams face the dual challenge of ensuring service availability while minimizing environmental impact. This paper introduces the concept of Green Reliability Engineering (GRE)—an approach that integrates carbon-awareness into SRE practices using Generative AI and cloud telemetry. The proposed solution incorporates Carbon Footprint APIs, energy-efficient routing policies, and AI-powered optimization models to support carbon-aware decision-making in incident response, load balancing, and service scheduling. By leveraging tools available in Google Cloud Platform (GCP), such as Carbon Footprint reporting, Cloud Monitoring, and Vertex AI, this research demonstrates how AI-driven SRE workflows can balance reliability objectives with sustainability goals. A proof-of-concept is built around carbon-aware alert response prioritization and green load balancing across regions, showing tangible improvements in carbon reduction without compromising performance. The results advocate for the inclusion of carbon metrics as first-class citizens in SLOs, enabling a more sustainable and intelligent SRE framework. This record contains metadata only. The publisher (IRJMETS) holds exclusive distribution rights. The final article will get an IRJMETS DOI; this Zenodo DOI provides a permanent reference in the meantime.
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Singla, Amandeep. "Machine Learning Operations (MLOps): Challenges and Strategies." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2, no. 3 (2023): 333–40. http://dx.doi.org/10.60087/jklst.vol2.n3.p340.
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Machine Learning Operations (MLOps) is a critical discipline that aims to streamline and enhance the end-to-end machine learning (ML) lifecycle, encompassing development, deployment, monitoring, and maintenance. As organizations increasingly adopt machine learning models to derive actionable insights and automate decision-making, MLOps becomes indispensable for ensuring efficiency, scalability, and reliability in ML workflows. This abstract explores the challenges encountered in implementing MLOps and presents strategies to overcome these hurdles.The challenges in MLOps can be categorized into technical, organizational, and cultural aspects. Technical challenges include model versioning, reproducibility, and ensuring consistent performance across diverse environments. Organizational challenges involve collaboration between cross-functional teams, managing diverse tools and frameworks, and integrating ML workflows with existing software development processes. Cultural challenges encompass resistance to change, skill gaps, and the need for a shared understanding of ML concepts among stakeholders.To address these challenges, a multifaceted strategy is proposed. Implementing robust version control systems and containerization techniques can enhance model reproducibility and deployment consistency. Cross-functional collaboration can be fostered through the establishment of dedicated MLOps teams, emphasizing communication and knowledge sharing. The integration of MLOps into existing DevOps practices can streamline workflows and mitigate organizational silos.Furthermore, the adoption of automated testing, continuous integration, and continuous deployment practices specific to ML can bolster the reliability of ML systems. Education and upskilling programs can bridge skill gaps, while promoting a culture of continuous learning and adaptability. Open-source MLOps tools and frameworks contribute to standardization and interoperability, facilitating smoother integration into diverse ecosystems.
 
 In conclusion, the successful implementation of MLOps is crucial for organizations seeking to harness the full potential of machine learning. By addressing technical, organizational, and cultural challenges through a comprehensive strategy, businesses can establish resilient and efficient MLOps pipelines, paving the way for sustainable and scalable deployment of machine learning models.
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Pandhare, Harshad Vijay. "Future of Software Test Automation Using AI/ML." International Journal of Engineering and Computer Science 14, no. 05 (2025): 27159–82. https://doi.org/10.18535/ijecs.v14i05.5139.
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The exponential growth of software systems and the shift toward agile and DevOps methodologies have placed immense pressure on quality assurance teams to deliver rapid, reliable, and scalable testing solutions. Traditional test automation methods, while effective in some contexts, often struggle with adaptability, maintenance overhead, and limited intelligence in handling dynamic test environments. This paper investigates the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in shaping the future of software test automation. Through an in-depth analysis of academic literature, industrial case studies, and current tool capabilities, this study identifies the core AI/ML techniques being leveraged—such as predictive analytics, computer vision, reinforcement learning, and natural language processing—to address the limitations of conventional test automation. The research also highlights the evolution from rule-based testing to intelligent, self-healing, and autonomous testing frameworks. Quantitative comparisons between traditional and AI/ML-driven testing approaches reveal substantial improvements in test efficiency, coverage, defect detection accuracy, and maintenance costs. Graphs and tables included in this study illustrate the performance gap and adoption trajectory across industries, emphasizing a projected surge in AI-integrated testing solutions by 2030. Furthermore, the paper outlines key implementation challenges, including data dependency, skill shortages, and integration complexity, and offers strategic recommendations to overcome them. By providing a structured roadmap for organizations, this research not only evaluates the current landscape but also forecasts future innovations such as generative test case creation, digital twins for testing, and fully autonomous test agents. The findings establish that AI/ML is not merely enhancing software test automation—it is redefining its very foundations. The fusion of intelligent algorithms with testing workflows promises a paradigm shift toward faster releases, higher software quality, and sustainable testing practices for the next generation of software engineering.
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Ali, Syed Afraz. "Designing Secure and Robust E-Commerce Plaform for Public Cloud." Asian Bulletin of Big Data Management 3, no. 1 (2023): 164–89. http://dx.doi.org/10.62019/abbdm.v3i1.56.
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 The migration of e-commerce platforms to the public cloud has become a pivotal strategy for businesses seeking enhanced scalability, performance, and cost-efficiency. This paper explores the multifaceted design considerations critical to deploying robust e-commerce systems within the public cloud infrastructure. It delves into scalability, ensuring that platforms can handle varying loads with elasticity and grace. Security is examined as a paramount concern, addressing the need for stringent data protection, compliance with industry standards, and the implementation of best practices such as encryption and identity access management. Performance optimization is discussed, with a focus on leveraging content delivery networks and optimizing database operations to ensure swift customer experiences. The paper also covers reliability and availability, emphasizing the necessity of multi-regional deployment and sophisticated disaster recovery plans to guarantee uninterrupted service. Cost management is analyzed, highlighting the importance of understanding cloud pricing models and employing cost-effective resource utilization strategies. Data management is scrutinized, considering secure storage, privacy, and efficient data handling. User experience is identified as a critical component, with personalization and session management being key to customer satisfaction. The role of DevOps and automation in achieving efficient deployment cycles through continuous integration and delivery is outlined. The benefits of a microservices architecture are presented, along with the challenges of managing such distributed systems. Multi-tenancy and isolation are discussed in the context of security and resource optimization. Integration and APIs are explored for their role in facilitating extensibility and seamless third-party service incorporation. Compliance and legal considerations are addressed, underscoring the importance of data sovereignty and regular audits. Lastly, the paper touches on the incorporation of emerging technologies such as AI, ML, and IoT to stay at the forefront of innovation, and concludes with a discussion on environmental considerations for sustainable cloud practices. This comprehensive analysis provides a roadmap for businesses to navigate the complexities of cloud-based e-commerce, ensuring robust, secure, and efficient online retail operations.
 
 
 
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Dzeikalo, Andrei. "Architectural approaches to creating scalable and adaptable software solutions for oil and gas companies." Foreign Affairs 10, no. 2 (2025): 5–20. https://doi.org/10.59214/euch/2.2025.20.
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In the context of the digital transformation of the oil and gas industry, the development of architectural solutions that can ensure the scalability, adaptability and stability of software to changes in the production environment and business processes is of particular importance. The purpose of the study is to substantiate architectural approaches to the creation of scalable, adaptive and technologically sustainable software solutions, taking into account their application in the oil and gas industry, including the tasks of logistics, field management, equipment monitoring and support of geographically distributed production systems. In the course of the study, a conceptual model of the multi-level architecture of a digital platform for the oil and gas industry was developed, based on the principles of microservice, event processing and container orchestration, which allows to ensure the modularity, flexibility and stability of software solutions in conditions of high load and territorial distribution. The model includes four functional levels: infrastructure, application, integration and user, each of which performs specialized tasks and supports interaction with industrial IT infrastructure. Based on the theoretical analysis of architectural styles and key components (Kubernetes, Istio, Apache Kafka, Prometheus, GraphQL), it is established that the hybrid architectural approach, which combines the advantages of microservice and event-based solutions, most fully meets the modern requirements of the industry. It provides fault tolerance due to component isolation, scalability due to dynamic resource management, compatibility with industrial IoT protocols, as well as support for CI/CD and DevOps practices, which are critical for quick adaptation to changes in the technological environment and minimizing downtime and production flows. The results showed that the combined use of microservices and event interactions provides high flexibility and stability when operating under conditions of geographical distribution and high load variability. The data obtained confirmed the applicability of the proposed architectural model for the design of reliable digital platforms in the oil and gas sector.
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Owoade, Samuel, Ejielo Ogbuefi, Bright Chibunna Ubanadu, Andrew Ifesinachi Daraojimba, and Oyinomomo-emi Emmanuel Akpe. "Systematic Review of AWS Certification Impact on Career Development in Technology Management." International Journal of Management and Organizational Research 1, no. 2 (2022): 78–9. https://doi.org/10.54660/ijmor.2022.1.2.78-93.
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The rapid evolution of cloud computing has heightened the demand for professionals equipped with specialized knowledge and validated skills, particularly in platforms such as Amazon Web Services (AWS). As organizations increasingly migrate to cloud infrastructures, AWS certifications have emerged as a benchmark for technical competence and cloud proficiency. This systematic review explores the impact of AWS certifications on career development within the field of technology management, examining how these credentials influence employability, professional growth, salary advancement, and organizational performance. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, the review analyzes 42 peer-reviewed articles, industry reports, and survey-based research studies published between 2015 and 2022. The findings reveal consistent evidence that AWS certifications contribute significantly to enhanced career trajectories. Professionals with certifications report increased job mobility, expanded leadership opportunities, and a stronger alignment with strategic IT management roles. Organizations also recognize certified employees as assets for cloud transformation, security, and cost optimization projects. Moreover, AWS certifications are positively correlated with salary increases and job security, particularly in roles related to cloud architecture, DevOps, and systems administration. The review also identifies a growing trend in enterprise-sponsored certification programs, underscoring the perceived organizational value of AWS credentials. However, disparities remain in certification access and recognition across regions and industries, particularly in small-to-medium enterprises (SMEs) and non-tech sectors. The study emphasizes the strategic advantage of AWS certifications not only as technical validations but as catalysts for leadership in technology management. By integrating certification pathways into professional development programs, individuals and organizations can foster continuous learning and innovation. The paper concludes with recommendations for policymakers, training institutions, and HR leaders to promote inclusive and sustainable certification strategies. This systematic review contributes to the discourse on cloud career pathways by offering empirical insights into how AWS certifications shape career development and organizational value creation in the era of digital transformation.
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Nyblade, Andrew A., Ray Durrheim, Paul Dirks, Gerhard Graham, Roger Gibson, and Susan Webb. "Geoscience Initiative Develops Sustainable Science in Africa." Eos, Transactions American Geophysical Union 92, no. 19 (2011): 161–62. http://dx.doi.org/10.1029/2011eo190002.
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Bulis, Aldis, and Oskars Onževs. "ASSESSMENT OF SUSTAINABLE ECONOMIC DEVELOPMENT IN ESTONIA AND LATVIA." ENVIRONMENT. TECHNOLOGY. RESOURCES. Proceedings of the International Scientific and Practical Conference 1 (June 11, 2025): 119–23. https://doi.org/10.17770/etr2025vol1.8651.
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Current trend in global development is to manage national economies sustainably, but significant challenge is measuring progress. There is a need for studies that can help to monitor if national economy develops sustainably or not. The aim of this study is to assess the main trends in sustainable economic development in Estonian and Latvian economies. Literature review, regression and correlation analysis are applied for data analysis in this research. The results allow to conclude that Estonia and Latvia have not reached the turning point in sustainable development when larger GDP is produced with using fewer amounts of natural resources and generating less waste (falling Footprint). Both countries have similar sustainable development trends, excluding temp of increase in the number of population.
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Erkkilä, Kristiina. "The City of Espoo Develops as a Sustainable Learning City." Andragoška spoznanja 26, no. 1 (2020): 85–96. http://dx.doi.org/10.4312/as.26.1.85-96.
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This paper presents Espoo as a sustainable learning city, recognised by UNESCO as one of twelve pioneering Learning Cities in 2015. The vision of the city states that Espoo is a good place to live, learn, work and do business, and where residents can have their say in matters. Dynamic co-creation processes with residents, partners, universities, and enterprises have helped create and implement the Espoo Story and to find sustainable solutions for the city and its residents. The city of Espoo is preparing its citizens for the future by empowering all kinds of learners to be at the centre of their own learning processes. Espoo provides continuous learning paths leading from early childhood education, to capacity building in the workplace, and to learning in later life. Flexible learning spaces and digitalisation are expanding opportunities to participate and have fun when learning.
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Moon, Dr Christopher J. "Sustainable Tourism Labelling – Greenwashing or sustainable impact?" International Conference on Tourism Research 6, no. 1 (2023): 474–78. http://dx.doi.org/10.34190/ictr.6.1.1296.
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There are a bewildering number of sustainable tourism labels to choose from. This working paper reviews the different offerings and develops a dynamic framework to increase understanding of the certification and labelling process from a circular economy perspective. The framework can be used as a basis for improving practice i.e., for tour operators and tourism agencies to communicate to tourists more effectively, for tourist destinations including tourism providers to make more effective decisions on how to progress with 2030 targets, and for tourism students to increase awareness of sustainable tourism certification and labelling and more effectively promote sustainable tourism to those working in the tourism industry.
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Reznikov, Roman, та Svitlana Turlakova. "The crucial role of ІТ service companies in driving the modern economy". Scientific notes, № 35 (24 червня 2024): 198–220. http://dx.doi.org/10.33111/vz_kneu.35.24.02.18.124.130.
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This article provides a comprehensive analysis of the vital role IT service companies play in driving the modern digital economy, focusing on their functions, benefits, and the challenges they encounter. The research begins with an overview of different types of IT service companies, including consulting firms, outsourcing companies, and cloud service providers. Each type is examined in terms of its specific contributions to technological innovation and business transformation. Companies such as EPAM, Accenture, Intellias, SoftServe, GlobalLogic, Endava, and Globant are highlighted for their pivotal roles in providing specialized services that enable businesses to leverage advanced technologies, foster digital transformation in different industries and development of new smart economy. To better understand the impact of IT-service companies on modern economy it was conducted a detailed comparative analysis between traditional consulting firms (the Big 4 and Big 3) and modern IT service companies. The analysis reveals how traditional firms are increasingly venturing into the digital and technology spaces, often collaborating with IT service providers to offer comprehensive digital transformation solutions. Examples of competition and collaboration between these entities illustrate the evolving dynamics in the consulting and IT services market. The article emphasizes the benefits of collaborating with IT service companies, such as cost-effectiveness, access to specialized knowledge in fields like AI, cybersecurity, cloud computing, and data analytics which is crucial in the process of business transformations and transition to so called smart economy. It includes case studies and examples of successful collaborations that have led to significant business growth and innovation, demonstrating the practical advantages of these partnerships. The role of IT service companies in facilitating digital transformation across various sectors is explored, with examples of successful digital transformation projects and their outcomes. These companies are shown to be instrumental in developing and implementing digital strategies, modernizing IT infrastructure, enabling data-driven decision-making, enhancing customer experience, and supporting agile transformation. Challenges faced by IT service companies are discussed, including talent acquisition and retention, rapid technological advancements, cybersecurity threats, and high client expectations. The article also addresses the competitive pressures from emerging markets and the need for continuous improvement and differentiation. It was identified future trends in the IT services market in modern economy which has significant presence of digital technologies. The adoption of agile and DevOps practices is also highlighted as a key trend driving efficiency and innovation in software development and IT operations. The conclusion reaffirms the importance of IT service companies in the development of modern economy, emphasizing their crucial role as strategic partners in innovation. The future potential of these companies is discussed, noting their contributions to shaping industries and economies globally. The evolving landscape of IT services is predicted to continue driving progress and enabling businesses to achieve new heights of success, underlining the indispensable role of IT service companies in fostering sustainable economic development.
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Auliagisni, Widi, Suzanne Wilkinson, and Mohamed Elkharboutly. "Learning from Floods—How a Community Develops Future Resilience." Water 14, no. 20 (2022): 3238. http://dx.doi.org/10.3390/w14203238.
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Settlements close to rivers, the sea, and hills are among those most vulnerable to floods. The hilly terrain region experiences higher rainfall than the lowlands due to the orographic effect. As a result, excessive rains feeding major rivers cause a rapid rise in water level resulting in frequent breaks of the riverbanks. The flood hence covers the inhabited lowlands with water and silt, causing loss of lives and properties. The affected communities need practical coping alternatives to deal with the intensity and the increasing exposure to floods. The Sustainable Development Goals (SDG6) identify the sustainable management of water and sanitation as one of their key objectives. This study identifies resilience in practice focusing on how communities create resilience and develop sustainable river catchment management. A qualitative method was used, involving observations, interviews, and community surveys with one of the most flood-prone populations, the New Zealand Northland community. A desktop study containing government publications and flood records compliments the thematic analysis result and strengthens the discussions. Social connections, participation in self-protection training, and maintaining the catchment were among the main findings of the study. This study recommends for community-led response plans integrated with infrastructure improvements and collaboration with councils to reduce the risk of future floods.
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Thu Ha, Nguyen Thi, and Tong Thi Thu Hoa. "Sustainable development of stock market: Research in Vietnam stock market." International Journal of Advanced Multidisciplinary Research and Studies 5, no. 2 (2025): 1596–607. https://doi.org/10.62225/2583049x.2025.5.2.4029.
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The continuous development of financial instruments leads to more and more new factors that can destabilize the global financial system. Therefore, the development of a quality and sustainable stock market is considered the goal of not only countries with a long history of stock market formation such as the United States, the United Kingdom, and Germany, but also the goal of other emerging market countries, including Vietnam. In the context of increasingly complex world economic and political developments, the process of international integration is increasingly deep, one of the requirements for the Vietnamese stock market management agency is to ensure the market develops safely and sustainably; at the same time, promptly detect and prevent market instability, promoting the sustainable development of the economy.
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Mańkowski, Cezary, and Jędrzej Charłampowicz. "Managing Maritime Container Ports’ Sustainability: A Reference Model." Sustainability 13, no. 18 (2021): 10030. http://dx.doi.org/10.3390/su131810030.
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The concept of sustainable development is one of the few ideas that require the integration of all areas of human life on earth in order to maintain further development without major disruptions. One such area is maritime transport, including maritime container ports. Their unique feature is the ability to combine equivalent types of transport within the framework of a cargo-handling system with related information. In order to ensure a sustainable shipping flow through ports, it is necessary to integrate management knowledge with IT knowledge, so as to build a reference model of sustainable management of transshipment in maritime container ports. The literature has neglected this problem, thus motivating our contribution to this matter. As a result of the research work undertaken, a sustainable transshipment management system is first defined as a whole unit which develops its subsystems in a harmonious way without compromising them in the process. Then, the form of the reference model is given in detail. Therefore, we suggest that the system and its constituent elements constitute a method for sustainably managing the transshipment process.
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Khalmurodovich, Mamatkulov Akram. "Improving Accounting Data for Cost Analysis in The Sustainable Development of Recycling Enterprises." Journal of Management and Economics 5, no. 4 (2025): 52–55. https://doi.org/10.55640/jme-05-04-08.
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The article highlights the important principles for improving accounting data for cost analysis in the sustainable development of processing enterprises. It also focuses on the main factors, costs, and develops scientific conclusions and proposals based on them.
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Gauthier, Jeffrey, Chris Meyer, and David Cohen. "Framing Sustainable Practices." International Journal of Sustainable Entrepreneurship and Corporate Social Responsibility 1, no. 2 (2016): 21–39. http://dx.doi.org/10.4018/ijsecsr.2016070102.
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This paper develops and clarifies social intrapreneurship theory by examining the “how” of effective intrapreneurial championing. More specifically, the authors consider the following research question: How does the manner in which middle managers frame sustainable practices influence successful championing outcomes? The authors integrate the natural-resource-based view of the firm with research on middle management championing behaviors and issue-contingent models of ethical decision making to propose a model of sustainability championing for social intrapreneurs. To that end, propositions are developed concerning the relationship between the types of sustainable practice championed, how the argument for a given practice is framed, and successful championing outcomes. This paper contributes to a growing body of literature on social intrapreneurship, providing insight into how intrapreneurial championing can be more effective and building a foundation for future research.
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Ramos Pires Manso, José, and Niaz Bashiri Behmiri. "Renewable Energy and Sustainable Development." Studies of Applied Economics 31, no. 1 (2020): 7. http://dx.doi.org/10.25115/eea.v31i1.3259.
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This article develops the renewable energy and sustainable development theme, a topic that is much and much important since the problems that face the fossil fuels related to reserves exhaustions, the high price of new explorations and exploitations, the pollution levels and their impact on climate change (consequence of GHG emissions). Among the aims and objectives of this paper we discuss the renewal energies’ adoption or investments and their implications on sustainable development.
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Lorz, Bettina. "EU policies for Sustainable Consumption and Production—the Action Plan on Sustainable Consumption and Production and Sustainable Industrial Policy." Journal for European Environmental & Planning Law 6, no. 3 (2009): 277–300. http://dx.doi.org/10.1163/161372709x12608898676319.
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AbstractThe need to move towards sustainable consumption and production has been recognised since the First Earth Summit in Rio de Janeiro. Yet progress in translating policy commitment into tangible measures has been slow. For the EU, the Action Plan on Sustainable Consumption and Production and Sustainable Industrial Policy presented by the Commission in July 2008 is an important step in that direction. It builds upon and further develops a life-cycle oriented product policy, and also addresses the consumption dimension. This article looks at implementation and application of the Action Plan. This is presenting a number of challenges: setting up and implementing a coherent legal framework, providing the requisite tools and steering voluntary processes. It concludes by looking to the future and the challenges for EU policies.
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DHEWI, Ratna Marta, Stefani Nawati EKORESTI, and Eusi SUSILOWATI. "E-COMMERCE IMPLEMENTATIONS FOR RECYCLED PRODUCTS BY SMALL MEDIUM ENTERPRISES." DISEMINASI: Jurnal Pengabdian kepada Masyarakat 1, no. 1 (2019): 34. http://dx.doi.org/10.33830/diseminasi.v1i1.855.2019.
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 An increasing global awareness on the need for sustainable production and environmental behaviour has encouraged small medium enterprises (SME) to develop products with recycled content. However, how to sustainably marketing the recycled products has also challenged the SMEs. There is a small business managed by orphans in Bogor namely Kelompok Belajar Masyarakat (KBM) Salimah that develop recycled products from plastics and newspaper. Preliminary study has found that there has been a challenge on how to sustain the marketing activities of recycled products in this digital economy. Therefore, it is worth exploring the e-commerce to help such SME to have sustainable business for the recycled products. This research develops a business planning in utilising online shopping, web and social media, establishing customers by email and engaging in online store, furthermore emphasizes on barriers to e-commerce implementation by the SME. The analysis of e-commerce adoption to encourage the benefits for SME and consumers will be presented
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DHEWI, Ratna Marta. "E-COMMERCE IMPLEMENTATIONS FOR RECYCLED PRODUCTS BY SMALL MEDIUM ENTERPRISES." Diseminasi: Jurnal Pengabdian kepada Masyarakat 1, no. 1 (2019): 34–39. http://dx.doi.org/10.33830/diseminasiabdimas.v1i1.518.
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An increasing global awareness on the need for sustainable production and environmental behaviour has encouraged small medium enterprises (SME) to develop products with recycled content. However, how to sustainably marketing the recycled products has also challenged the SMEs. There is a small business managed by orphans in Bogor namely Kelompok Belajar Masyarakat (KBM) Salimah that develop recycled products from plastics and newspaper. Preliminary study has found that there has been a challenge on how to sustain the marketing activities of recycled products in this digital economy. Therefore, it is worth exploring the e-commerce to help such SME to have sustainable business for the recycled products. This research develops a business planning in utilising online shopping, web and social media, establishing customers by email and engaging in online store, furthermore emphasizes on barriers to e-commerce implementation by the SME. The analysis of e-commerce adoption to encourage the benefits for SME and consumers will be presented
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Engelseth, Per, Remiguisz Kozlowski, Karolina Kamecka, Lukasz Gawinski, and Richard Glavee-Geo. "Framing Sustainable Healthcare Services." International Journal of Environmental Research and Public Health 18, no. 12 (2021): 6336. http://dx.doi.org/10.3390/ijerph18126336.
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This paper develops an analytical framework using process thinking to achieve sustainable healthcare services. Healthcare is characterised by low economic efficiency. At the same time, it is embedded in ethical concerns related to society and nature. Healthcare is thus conceptualised as functionality in an ecosystem. The patient is woven into both nature and society. Given the complex nature of healthcare services, we seek an alternative way to understand healthcare services, focusing on the exchange aspect of the economy. We offer a conceptual model that helps build an analytical framework focusing on how practitioners and leaders in healthcare frame their activities. This framing provides guidance in healthcare practice. Furthermore, framing is associated with both healthcare service providers as well as patients and next of kin—the recipients. This framework aims to guide practical research and development activities in healthcare.
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Dr., D. S. Ambhore. "Education for Sustainable Development." International Journal of Advance and Applied Research S6, no. 2 (2025): 166–72. https://doi.org/10.5281/zenodo.15559885.
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Education is a crucial tool for achieving global sustainability. It enables people to learnabout, support, and benefit from sustainable development, which is a combination of economic,social, and environmental circumstances. Education for Sustainable Development (ESD) aims tobalance cultural traditions, environmental respect, and personal and economic well-being. Itincludes instruction in citizenship education, peace culture, gender equality, human rights, healtheducation, population education, natural resource management, and sustainable utilization.ESD promote the development the respect for human needs compatible with sustainable useof natural resources, promotes global unity, and develops concepts for permanent learningthrough trans disciplinary educational systems. It teaches students how to make decisions thataffect the economy, environment, and social welfare of all communities in the long run, offering ameans of preserving the balance between nature and humanity. Therefore, education must betransformed to become a useful instrument for raising global consciousness among students andsociety.
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Hargreaves, Andy, and Dean Fink. "Taking Sustainability from Theory to Practice." Swiss Journal of Educational Research 28, S (2006): 25–36. http://dx.doi.org/10.24452/sjer.28.s.4755.
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Sustainable leadership and improvement are more than matters of mere endurance, of making things last. We define sustainable leadership, in line with the environmental field, in the following way: Sustainable leadership matters, spreads and lasts. It is a shared responsibility, that does not unduly deplete human or financial resources, and that cares for and avoids exerting negative damage on the surrounding educational and community environment. Sustainable leadership has an activist engagement with the forces that affect it, and builds an educational environment of organizational diversity that promotes cross-fertilization of good ideas and successful practices in communities of shared learning and development.
 This definition suggests seven principles of sustainable leadership:
 1. Sustainable leadership creates and preserves sustaining learning.2. Sustainable leadership secures success over time.3. Sustainable leadership sustains the leadership of others.4. Sustainable leadership addresses issues of social justice.5. Sustainable leadership develops rather than depletes human and material resources.6. Sustainable leadership develops environmental diversity and capacity.7. Sustainable leadership undertakes activist engagement with the environment
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Villanueva, Delano, and Roberto Mariano. "Optimal saving and sustainable foreign debt." Philippine Review of Economics 57, no. 2 (2021): 170–99. http://dx.doi.org/10.37907/9erp0202d.
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This paper develops and discusses an open-economy growth model in a modi!ed Arrow learning-by-doing framework, in which workers learn through experience on the job, thereby increasing their productivity. Applying optimal control to maximize the discounted stream of intertemporal consumption, the model yields domestic saving rates of 18-22 percent of GDP, which are feasible targets in developing and emerging market economies. Sustainable gross foreign debt is in the range of 39-50 percent of GDP. Saving, debt, and growth policies are suggested.
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Batâr, Sergiu Constantin. "From Sustainable Development to Personalised Healthcare. The Role of Institutions in the Sustainable Development of the Healthcare Systems." Management of Sustainable Development 7, no. 1 (2015): 41–44. http://dx.doi.org/10.1515/msd-2015-0021.
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Abstract The current issues concerning healthcare institutions are generated by: aging of the population; the increase in prevalence of non-communicable diseases, even in low/medium income countries; the continuous increase of indirect costs generated by chronic diseases; the necessity of new- patient-specific oriented therapies; the need of translation of fundamental research into practice; need of applicability of prevention strategies; an important segment of the working population becomes inactive; migration of healthcare professionals. An essential condition for the sustainable development of any community is the health and the maintenance of the health of its population, and it is essential that the institutions involved in the process adapt to the constant change of the society: the medical academia not only develops health professionals, but conducts research, helps implementing healthcare programmes, develops future strategies, and influences the political systems; the hospitals need to adapt to growing populations; the communities should be involved in out-patient healthcare and prevention of diseases; governmental institutions adapt to the concept of sustainable development in various ways: funding fundamental research, applying nation-wide programmes for prevention and care, help of disadvantaged population, funding medical universities.
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Ameer, Farah, and Naveed R. Khan. "Manager’s Age, Sustainable Entrepreneurial Orientation and Sustainable Performance: A Conceptual Outlook." Sustainability 12, no. 8 (2020): 3196. http://dx.doi.org/10.3390/su12083196.
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Scholars have investigated the direct linkage between manager’s age and sustainable corporate performance, however, the mixed results and conflicting findings on the nature of the relationship demand further explanation through the missing constructs. Therefore, the purpose of this paper is to examine the mediating role of sustainable entrepreneurial orientation in the manager’s age and sustainable performance. This study develops a conceptual link by using a dynamic capabilities approach and upper echelon perspective, indicating that younger managers can adopt a more holistic approach towards sustainable practices which can enhance the environmental, social and economic performance of firms. This implies that the relationship between manager’s age and sustainable performance can be explained through sustainable entrepreneurial orientation (SEO) which can play a key role in setting organizational direction towards sustainable development and achieving sustainable business performance. This study contributes to the literature by examining the role of SEO in the relationship between the manager’s age and sustainable performance. This research will help practitioners recognize the importance of minimizing environmental and social problems generating due to organizational production activities. This will lead to profit generation as well as value creation for nature and the local community.