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Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics
Sustainable features are dependent on vital climatic elements that has a prominent impact on the retention of sustainability provided its metrics are in desired domain. Regression analysis and ensemble learning models are some of the predictive analytics methods which were used to detect the association of every feature on sustainable criteria. Weather samples from Delhi during 1970-2020 is used in the research which considers features like humidity, pollutant level, temperature etc which are gathered from several authenticated sites like pollution management unit of India. After analyzing several elements affecting weather endurability, it is noticed that pollutant level and temperature exhibit the highest significance recording 30% and 44% respectively. Also the R-square metric of 86% and 82% was observed with implementation of analytics models. The major conclusion recorded that random forest outperformed regression model and it established the importance of predictive analytics in predicting sustainability results. The research validated the relevance of climatic tracking for regulating sustainability. 2023 IEEE. -
SUSTAINABLE CLOUD COMPUTING THROUGH GREEN NETWORK FUNCTION VIRTUALISATION (NFV)
Modern information technology has made cloud computing a cornerstone by providing scalable and flexible services to fulfill the ever-increasing demands of businesses and individuals. However, since data centres use enormous quantities of energy and contribute to rising carbon emissions, the exponential rise of cloud infrastructure has caused serious environmental concerns. This research addresses the environmental issues that traditional cloud computing poses and presents a way forward by incorporating Green Network Function Virtualisation (NFV). A paradigm change towards sustainable alternatives is required due to the traditional cloud data centres increasing energy consumption and carbon impact. The suggested Green NFV strategy utilises the virtualisation technologies to optimise and combine network services, which lowers energy consumption and improves resource efficiency. The goal of this research is to reduce the environmental impact of data centres and increase the ecological sustainability of cloud services by incorporating NFV principles into cloud computing in a seamless manner. This work investigates the effectiveness of Green NFV in reducing the environmental impact of cloud computing through an in-depth analysis and empirical analysis. It assesses the energy efficiency benefits of NFV adoption, taking into account operational sustainability overall, server consolidation, and dynamic resource allocation. The results highlight that Green NFV can help with the environmental issues regarding cloud computing and provide a viable route forward for a more ecologically conscious and sustainable future for digital infrastructure. This research offers significant aspects to experts, policymakers, and industry practitioners who are looking for practical methods to balance the need for environmental sustainability with the rapid expansion of cloud computing. 2024, Scibulcom Ltd.. All rights reserved. -
Sustainable Computing: A Determinant of Industry 4.0 for Sustainable Information Society
Rapid advancement in technology and continuous environmental degradation have attracted the attention of practitioners toward sustainable solutions. This study intends to promote Industry 4.0 information society research by comprehending sustainable ICT adoption in businesses to promote sustainable information society (SIS). Further, it extends the theory of planned behavior model and deploys a quantitative research approach. The findings from PLS-SEM confirm the perceived environmental responsibility (PER), a precursor for attitude (ATT), perceived behavioural control (PBC), and subjective norm (SN). Further, there is a significant positive influence of ATT, PBC, and SN on the adoption intention of sustainable ICT practices followed by the effect of adoption intention on sustainable information society (SIS). This study bridges the literature gap through a novel attitude behavior gap model and provides a possible understanding of how businesses might contribute to the creation of sustainable development and information society. 2022 Nishant Kumar et al. -
Sustainable Consumption Practices of Rural India
It is said that real India lives in rural areas. Sustainability can be found very easily in traditions, practices, culture, ethics, sense of belongingness, camaraderie, mindful living of the villages, and small towns of India. They may lack the modern way of living and infrastructure, but their way of existence is such that they contribute toward making sustainable communities. This is specifically reflected in their behavior of consumption; obviously it is also related to their income but consumption in rural areas of India is way lower than those of urban areas, even if that is to be compared by keeping population size as the same. This chapter presents an informative analysis for the reasons and methods which rural population of India practices that results in sustainability. There are practices which are found wide and large such as sharing, self-sustenance because of farming, recycling, less influence of media, simpler living, work-life balance, valuing natural resources, inherent practices of protecting the environment, and pro-community sentimentalities that lead to sustainability. Attitude toward consumption is guided by the so-called spiritual way of living and having satisfaction with life. Happiness does not necessarily come by acquiring tangible resources but by having meaningful relationship, acquiring wisdom, and following indigenous way of living and transferring it to the next generation. This chapter presents a short report by having a take on economic indicators and traditional and cultural practices of rural India and hence present an explanation for how and why sustainable consumption practices are prevalent in such places. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Sustainable consumption: Barriers and catalysts for green purchase
This chapter examines factors influencing green purchasing in both developed and developing nations, addressing catalysts and barriers. Key obstacles include price sensitivity, socioeconomic disparities, lack of standardized eco- labeling laws, and ingrained cultural beliefs. It highlights the roles of government regulations, corporate social responsibility (CSR), environmental awareness, and sustainable packaging in shaping consumer behavior. The study explores knowledge gaps, financial limitations, and cultural influences that affect sustainable choices. Strategies such as eco- labeling, tiered pricing, and financial incentives are analyzed, alongside CSR's impact on consumer trust. Emerging trends like post- COVID green consumption, blockchain for eco- label transparency, AI- driven marketing, and circular economy practices are also discussed. Ultimately, the chapter proposes an integrated framework combining technological, cultural, and economic perspectives to enhance sustainability. 2025, IGI Global Scientific Publishing. All rights reserved. -
Sustainable Corporate Social Responsibility - An Analysis of 50 Definitions for a Period of 2000-2011
Zenith International Journal of Multidisciplinary Research Vol. 2, Issue 10, pp. 169-193, ISSN No. 2231-5780 -
Sustainable development and catalysts for inclusive start-up growth in corporate management: Using machine learning
This chapter explores the role of machine learning in enhancing corporate sustainability, governance, and performance, and its connection to social impacts. Incorporating machine learning algorithms into companies' processes can enhance resource utilization and reduce their environmental footprint. Combining machine learning algorithms can offer valuable insights into stakeholder engagement, such as customer preferences, employee satisfaction, and community expectations, enabling responsible decision-making and advancing social responsibility goals through responsible decision-making. In addition, machine learning in corporate governance has been used in monitoring compliance, detection of fraud, and enhancement of transparency. The technologies mentioned enhanced operations performance, fostered trust and accountability, and enhanced a firm's social image. The chapter presents case studies demonstrating how machine learning can foster socially responsible, sustainable, and performance-oriented businesses, emphasizing ethical considerations in data privacy. 2025, IGI Global Scientific Publishing. All rights reserved. -
Sustainable Development- Adopting a Balanced Approach between Development and Development Induced Changes
The emergence of globalization has raised serious concerns and promoted ever increasing dichotomy between development and climate change issues that are borne out of such trade development plans and strategies. The sustainable development goals embark on 17 broad categories that calls upon the nations to achieve them by 2030. In order to achieve these goals the need of the hour is to make a paradigm shift from traditional trade agreements and policies to such agreements that aim to prioritize the attainment of these goals. There has to be uniform environment laws to promote intergeneration and intra-generational equity among the nations and leaving no lacuna for geographical disparity. The Artificial Intelligence can play a pivotal role in achieving sustainability by cross fertilization of technology and sustainable development leading to smart states, effective utilization of resources, green investment policies, use of eff icacious renewable energy resources, analyzing agricultural needs and prior analyses of prospective disasters. The Electrochemical Society -
Sustainable driven Predictive Approaches to Address Climatic Crisis: Issues and Challenges
The issue of climate crisis is currently one of the critical challenges humanity faces in the present era and it holds significant implications, for the future of our planet. To gain an understanding and mitigate the impacts of climate change several methods have been developed to model and forecast future climate trends. This paper critically analyzes sustainable techniques utilized in studying the climate crisis, such as statistical models, machine learning algorithms and climate simulations. The strengths and limitations of each method is analyzed while also considering the factors that can affect their accuracy and reliability. By consolidating existing research on this subject our aim is to provide insights into the effective sustainable approaches for predicting our climates future trajectory while offering suggestions for further research, in this crucial field. 2023 IEEE. -
Sustainable e-commerce for Industry 5.0: Leveraging life cycle assessment for greener consumer choices
The rapid growth of e-commerce has transformed consumer behavior, offering unprecedented convenience but also contributing to significant environmental challenges. In the transition towards Industry 5.0, where human-centric and sustainable innovation is paramount, there is an increasing focus on minimizing the ecological footprint of online businesses. This article explores how Life Cycle Assessment (LCA) can be leveraged within e-commerce to drive greener consumer choices and sustainable operations. By evaluating the environmental impact of products and services from production to disposal, LCA provides critical insights that can inform eco-friendly decision-making for both businesses and consumers. The study highlights innovative strategies for integrating LCA into e-commerce platforms, enabling transparency, promoting sustainable consumer behavior, and aligning with the ethical imperatives of Industry 5.0. It also examines the role of emerging technologies such as artificial intelligence, big data, and blockchain in optimizing LCA processes and delivering actionable insights. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Sustainable Education and Economic Development: A Critique of the Kerala (India) Model
Education is essential for societys growth and economic development. From the UDHR, all international conventions, national constitutions, and enactments have prioritised education for transforming society. This became more explicit with the SDG4 (quality education). Based on the UDHR and SDG4 guidelines, India also prioritises augmenting the educational sector in its policies and programs. The national education policies provide a foundational framework for this effort. Although many researchers praise the Kerala model of education, several others sharply criticise it as not aligning with the demands of quality and job market requirements. In 2023, almost 250000 students emigrated from Kerala for educational purposes. The student emigration constitutes nearly 11.3% of the states total emigration, raising serious concerns about the quality of education. From this perspective, this chapter critically examines sustainable education and economic development aspirations, evaluating the educational landscape of the most literate state in India, Kerala. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Sustainable environment protection and waste management in higher education institutions: A case study
Sustainable environment protection and waste management are global concerns that major cities are grappling with, and it is the most important environmental factor that higher educational institutions in India are considering right now. "Parivarthana, "-the recycling unit of the Centre for Social Action at Christ University, Bengaluru, is evolved as a paradigm for all higher education institutions in terms of long-term environmental protection through waste management and the efforts of student volunteers. The student volunteers have been successful in sensitizing all members of the University to the importance of environmental conservation, and there is rising evidence of accountability among all members regarding waste management. The basic sense of social responsibility of student volunteers toward environmental sustainability is the primary focus of this chapter. Student volunteers who have a higher sense of social responsibility have a better attitude toward their studies, which leads to higher academic accomplishment and a desire to take action to address environmental challenges. Their environmental awareness, climate change, the need to reduce greenhouse gas emissions, efficient use of natural resources, waste management, and sustainable consumerism have served as an example for students of other higher educational institutions. A qualitative method with a case study approach was applied for this research with In-depth interviews with all stakeholders of the unit. The objectives include the participants' understanding of the prevailing process of waste management in the unit, the relation between waste management and Climate change, and the role of the student volunteers and other stakeholders of the Higher Educational Institutions in bringing a model to Sustainable Development and Global Climate Change. 2024 Nova Science Publishers, Inc. -
Sustainable fabrication of arecanut waste-based polymer blend adsorbents for enhanced lead(ii) ion removal from water
Heavy metal contamination in water systems leads to critical environmental and health challenges, necessitating sustainable remediation technologies. This study presents a unique approach utilising arecanut organic residue, an abundant agricultural waste, for the removal of lead from water. A bioadsorbent composite film was synthesised using chitosanpolyvinyl alcohol (PVA) incorporated with arecanut organic residue by solvent casting. The physicochemical properties of the films were characterised by XRD, FTIR, optical profilometry, BET surface area and SEM analyses. The adsorption efficiency of the synthesised films was tested by examining the removal of Pb(ii) from water. The bioadsorbent films demonstrated a Pb(ii) removal efficiency of 94.6% from 5 ppm solutions at pH 6 within 60 minutes at 70 C using 0.5 g of the film. Optimisation studies revealed the critical role of functional group availability and film porosity of the polymer blends, along with experimental conditions that enhanced the adsorption capacity. Kinetic studies also confirmed the results obtained from the optimisation studies. The adsorption kinetics followed a pseudo-second-order model, and isotherm analysis confirmed Langmuir-type adsorption. The sustainable bioadsorbent exhibited good reusability, maintaining performance over multiple cycles. This journal is The Royal Society of Chemistry, 2026 -
Sustainable Finance and ESG Investing: A Blueprint for Future Growth in Indias Banking Sector
The paper focuses on sustainability transformation in banking, notably through environmental, social, and governance (ESG) investing. Today, completely profit-focused banks are gradually incorporating sustainability into their basic functions. This is consistent with global initiatives, namely the Paris Agreement, besides the United Nations Sustainable Development Goals. This reflects a deeper understanding that financial activity must be environmentally friendly and socially responsible. With that, banks can now appraise if the banks investment is profitable, good, and sustainable. Reserve Bank of India, being the regulatory authority in India, with the help of the Securities and Exchange Board of India, has also been supportive by laying certain rules that enforce transparency of ESG practice, encouraging green bond issues. Thus, regulations are seen as bringing Indian banks close to world standards and promoting this sustainability culture. The paper also draws upon the importance of integrating ESG factors into risk management systems to mitigate any financial risks that could stem from environmental and social concerns. It further argues that although ESG practices will be beneficial in improving financial performance, their impact does differ by component and should, therefore, be adopted while working in emerging economies such as India. 2026 by Nova Science Publishers, Inc. -
Sustainable Finance and Investor Dynamics in Emerging Markets
This chapter examines the role of sustainable finance in emerging markets, focusing on the integration of Environmental, Social, and Governance (ESG) principles to promote economic growth and social impact. It discusses how ESG investments address challenges like poverty, financial inclusion, and climate change, while exploring factors influencing investor behavior and barriers such as data transparency and greenwashing. The chapter compares ESG adoption in developed and developing economies, highlights sector-specific trends, and emphasizes the importance of public-private partnerships and multilateral collaborations. It also explores sustainable finance's potential for social innovation, supporting gender equality, inclusive development, and green technologies, and advocates for improved transparency and impact measurement to build investor confidence. 2026, IGI Global Scientific Publishing. All rights reserved. -
Sustainable finance and the United Nations Sustainable Development Goals
Sustainable finance plays a vital and crucial role in the development of nations and the economic growth of countries, particularly in emerging economies. Notwithstanding its significance, integrating sustainability into financial and operational strategies remains a challenge and an obstacle toward achieving broader societal goals. This chapter explores the development of financial strategies that align with the United Nations' Sustainable Development Goals (SDGs), aiming to foster improved economic growth, reduced environmental impact, and enhanced social well-being. By addressing key SDGs such as responsible consumption and production, decent work and economic growth, and climate action, the research identifies successful pathways to balance financial viability with sustainability objectives. The study examines various financial mechanisms, including green financing, impact investing, and government subsidies, to evaluate their potential in driving sustainable practices across industries. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Sustainable Financial Management (SFM) in E-Banking: Strategies and Challenges in Dubai
This paper explores the landscape of sustainable financial management (SFM) in e-banking within Dubai, focusing on the strategies banks implement to promote sustainability and the challenges they encounter. As e-banking continues to expand, sustainability has become crucial for banks aiming to minimise their environmental impact and enhance operational efficiency. The study examines various sustainable strategies, such as the adoption of energy-efficient technologies, the shift towards paperless transactions, and promoting digital customer engagement. Additionally, it considers the regulatory framework and policy support that facilitate sustainable practices in the banking sector, the challenges that banks face, including high implementation costs, technological hurdles, and issues related to customer adoption through case studies. The research illustrates the effectiveness of different approaches and solutions to these challenges. The findings underscore the significance of an integrated strategy aligning economic objectives with environmental sustainability, ultimately benefiting the banking industry and society over time. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Sustainable Growth in SMEs With Generative AI: Reaping Rewards, Tackling Challenges, With Human Insights
Generative artificial intelligence (Gen-AI), which refers to autonomous creation of content, is an area of artificial intelligence (AI) that presents a lot of potential for small- and medium-sized enterprises (SMEs). This technology can boost productivity, help to communicate and attract customers, and stimulate innovations, thus becoming a major asset for SMEs in the increasingly competitive environment. This chapter provides insight into the role of Gen-AI in leveraging the innovativeness in SMEs and identifies key strategies for successful implementation, including enhancing employee skills, fostering effective leadership and company culture, promoting collaboration, and building strong external partnerships. It highlights crucial tactics for successful execution; additionally, it also offers insight into how Gen-AI leads to economic and social benefit. The study discusses data privacy and security issues as the majority of AI applications depend on massive informatics, and protection of data ethical concerns, as well as the appropriate training of the workforce, has to be accurately addressed to ensure that AI fits into the SME business strategy. Lastly, this study also demonstrates how the adoption of AI in SMEs is providing an upper hand to tackle competitive scenarios. 2026 Umme Ara and Shivani Pandey -
Sustainable human resource management and job satisfactionUnlocking the power of organizational identification: A cross-cultural perspective from 54 countries
Sustainable human resource management is gaining importance in organizations due to its role in developing a sustainable work environment and well-being. This paper discusses the relationship between employee perceptions of sustainable human resource management and job satisfaction in 54 countries. We propose that sustainable HRM is positively associated with job satisfaction but that this relationship is moderated by employees' identification with the organization and country-level individualismcollectivism. Thus, we suggest national culture functions as a second-level moderator of the relationship of sustainable HRM with organizational identification on job satisfaction. Findings from the multi-level analyses using data from 14,502 employees nested within 54 countries provided support for our hypotheses, namely that employee perceptions of sustainable HRM were positively associated with job satisfaction and that this relationship was more pronounced for employees with lower levels compared to higher levels of organizational identification in individualistic rather than collectivistic countries. These findings bear important implications for both theory and practice. 2024 ERP Environment and John Wiley & Sons Ltd.