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Examining the Domain of Green Finance Through Bibliometric Research Analysis of 22 Years (20002022): An Analytical Retrospective
Green finance has evolved as a concept aiming to integrate environmental protection and economic profits. Growing global concern towards climate change, greenhouse gas emissions, industrial pollution control, waste management, and environmental protection has caught the attention of countries and policymakers towards innovative financial products and services that are used to address a broader range of environmental concerns. Financial instruments such as green bonds, green stocks and loans effectively guide capital investment towards environment-friendly projects and promote the United Nations sustainable development goals. Thus, green finance is considered a compelling concept that plays a vital role in promoting sustainability. The authors used the Scopus database to perform a bibliometric review of green finance from 2001 to 2022 to determine the current trend and progress in the field. The article presents a thorough bibliometric and temporal analysis that provides inputs that other researchers on this topic have not evaluated. VoS Viewer and Biblioshiny. The software was used to visually analyse the data and identify patterns of co-occurrences and prominent research themes. The graphical and systematic mapping illustrates the evolution in publications over time and identifies areas of current research interests. The findings show that the research on green finance has gained momentum from 2014 onwards. The analysis provides a comprehensive overview of the green finance-related research, which will help the researchers and policymakers to examine better the trends and future direction of the development of green finance. 2023 MDI. -
Examining the consumption of oil on total factor productivity and CO2 emissions: an analysis of highly oil-consuming countries
Purpose: This study aims to examine the impact of oil consumption on carbon dioxide (CO2) emissions and total factor productivity (TFP) in highly oil-consuming countries of the world from 1995 to 2019. Design/methodology/approach: For this purpose, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) are applied. Findings: FMOLS and DOLS models reveal that oil consumption, human capital, population, trade openness and nonrenewable energy have a significant positive effect on CO2 emissions. While information and communication technology (ICT), as proxied by mobile and natural resources, has a significant negative effect on CO2 emissions. In the case of TFP, oil consumption, ICT and natural resources have a significant positive effect on the TFP. On the other hand, trade openness, population, human capital and nonrenewable energy have a significant negative effect on TFP. The results of this study can help to provide policy recommendations to reduce CO2 emissions in studied highly oil-consuming countries of the world. Originality/value: Due to the threat to sustainable development, climate change has become a major topic for debate around the world. The influence of oil consumption on CO2 emission and TFP is less known in the available literature. Another significance of this study is that many researchers considered aggregate energy consumption to study this relationship, but the authors have studied the effect of energy consumption, particularly from oil in the top oil-consuming countries, which is a significant shortcoming of the present research. 2023, Emerald Publishing Limited. -
Examining the Components of Organizational Attractiveness: An Employee Perspective
This study examines the key components influencing organizational attractiveness in the Information Technology (IT) sector in Bangalore, India. A multistage sampling technique was employed to gather data from employees across twenty IT software companies in Bangalore. A structured questionnaire was administered, and a total of 740 responses were collected. Data analysis was conducted using the Statistical Programme for Social Sciences (SPSS 25.0), incorporating descriptive and inferential statistical methods. Exploratory factor analysis with Promax rotation was applied to extract the primary factors contributing to organizational attractiveness. The analysis revealed nine critical factors influencing organizational attractiveness: career growth opportunities (CGO), corporate social responsibility (CSR), flexible work practices (FWP), perceived organizational prestige (POP), perceived organizational support (POS), happiness at work (HAW), professional stability (PS), work options (WO), and compressed workweeks (CW). CGO and FWP emerged as the most impactful factors, reflecting employees' preferences for career advancement and work-life balance. CSR and POP highlight the importance of organizational values and reputation. The Author(s). -
Examining the Benefits of AI in Wearable Sensor-based Healthcare Solutions
The emergence of the AI generation has introduced adjustments to the manner healthcare solutions are advanced and applied. Wearable sensor-based total healthcare answers were revolutionized by leveraging AI in diverse packages. AI may be used to enhance the accuracy and precision of facts analysis, simplify information collection procedures, and pick out affected person-unique styles from the accrued data. Furthermore, AI can provide both actual-time and predictive analytics abilities, which are particularly useful for devising personalized healthcare offerings. Its provision of scalable systems hurries up the traits of various programs and has enabled personalized healthcare answers to be deployed in a shorter length. In spite of a number of the associated challenges, including data privacy troubles, AI-based wearable sensor-based healthcare answers can revolutionize patient tracking and timely detection of capability health conditions, improve preventive fitness care, and decrease healthcare fees. 2024 IEEE. -
Examining scientific contribution of International Journal of Productivity and Quality Management (20062019) a bibliometric study
International Journal of Productivity and Quality Management (IJPQM) is a journal of global reputation that publishes original and peer-reviewed research in the business management and accounting purview. The journal reached its 17th year of publishing in 2022. This study provides an inclusive synopsis of 720 publications using bibliometric data analysis techniques. The study emphasises the contribution of IJPQM to the academic fraternity through the analysis of publishing developments, authorship analysis, influential contributors, prominent studies published in IJPQM, nature and industry of studies. Analysis of the journal through SCImago indicators is also presented in the study. 2024 Inderscience Enterprises Ltd. -
Examining psychometric properties of the Interpersonal Needs Questionnaire among college students in India
Background: With the second-highest population in the world, suicide-related deaths in India are high, and adults under 30 are particularly at an increased risk. However, empirical examinations of factors contributing to suicide in India and assessments of reliability and validity of self-report measures assessing these constructs are rare. Aims: The present study examined the psychometric properties of the Interpersonal Needs Questionnaire (INQ). Materials & Methods: Undergraduate students in India (N=432) completed the INQ and questionnaires assessing suicidal ideation, depression, fearlessness about death, and pain tolerance. Results: Confirmatory factor analyses of the 15-item INQ indicated that after removing three items assessing perceived burdensomeness, the two-factor structure of INQ demonstrated acceptable fit with good internal consistency for each of the subscales (?=.84.90). In line with the interpersonal-psychological theory of suicidal behavior (IPTS), thwarted belongingness and perceived burdensomeness interacted to predict suicidal ideation. Additionally, these constructs were positively associated with suicidal ideation and depression, and weakly correlated with fearlessness about death and pain tolerance. Discussion: Results support the relevance of the IPTS for understanding suicidal ideation among college students in India. Conclusion: The results suggest that modified INQ demonstrates strong internal consistency, as well as good construct, criterion, and discriminant validity among Indian college students. 2021 The American Association of Suicidology. -
Examining Pre- and Post-ERP Adoption Challenges Confronting SMES: A Study on South Indian Companies
In todays dynamic and fiercely competitive business world, small and medium-sized enterprises (SMEs) can benefit greatly from using enterprise resource planning (ERP) systems. Because these technologies may revolutionize decision-making, data management, and operational efficiency, they are a compelling choice for SMEs who aspire to thrive in their respective industries. This study provides an in-depth analysis of the impact of Enterprise Resource Planning (ERP) systems on small and medium-sized enterprises (SMEs), focusing on the challenges encountered during the pre and post-adoption phases. The research incorporates quantitative data from 36 SMEs that have undergone ERP implementation. The study aims to unravel the challenges of ERP adoption in SMEs through statistical analysis, including paired and independent samples t-tests, Pearson Chi-square tests, and non-parametric tests such as Wilcoxon Signed Rank and Mann-Whitney tests. The findings reveal a significant reduction in operational challenges post-ERP adoption, highlighting the efficiency gains from ERP systems. The findings advocate for a strategic approach to ERP adoption, emphasizing the importance of vendor selection and the nuanced role of employee training in ensuring the successful integration and utilization of ERP systems within SMEs. It is also important to establish a continuous monitoring and evaluation mechanism to resolve issues when and where occurred. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Examining Malabar through the Lens of a Geo-body
The textual traditions and Malabars geographical extent have been diversely perceived from one period to another. Despite the regions well-established maritime historiography, this evolution hardly captured historians interest. The paper examines the geo-body of Malabar and its evolution as a historiographical region from its earliest textual reference to contemporary ones, navigating its politico-economic networks and cultural and intellectual landscape vis-vis the regions strategic location as an Indian Ocean littoral. 2025, Economic and Political Weekly. All rights reserved. -
Examining humanized bot interaction for the retail revenue growth
The increasing popularity of conversational artificial intelligence (chatbot) in retail has fuelled consumer purchase decisions. The present study measures humanbot interaction through anthropomorphism, social presence, personalization, media richness, and its role in customer engagement and continuous purchase intention for retail revenue growth. Data were collected from 366 respondents and analyzed using PLS-SEM-ANN integrated approach. To overcome the limitation of establishing only the linear relationship among variables for prediction, the study deploys nonlinear complex artificial neural network (ANN) models to determine the relative importance of the significant predictors identified through structural equation modeling (PLS-SEM). The findings of the study confirm the role of anthropomorphism, personalization, and media richness in customer engagement and customer engagement leading to continuous purchase intention. Furthermore, Chatbots in the electronic commerce space strengthen involvement, but trust and price fairness also play a positive moderating influence in shaping consumer purchase intentions. Study implications highlight the role of anthropomorphic design in the desired social presence for sustained engagement and its contribution to revenue. This study enriches the AI literature and guides organizations leveraging chatbots to create more natural and personalized interactions so retailers can better meet customer needs, foster loyalty, and stay competitive in an increasingly digital marketplace. The Author(s), under exclusive licence to Springer Nature Limited 2025. -
Examining how ERP-Enabled Supply Chain Integration Works within the Quadrants of the Four-Wheeler Industry
Enterprise Resource Planning (ERP) systems have become indispensable tools for managing complex supply chains in the automotive industry. This paper provides an in-depth examination of ERP-based supply chain integration within the four-wheeler automobile sector, focusing on its impact, challenges, and best practices. Through a comprehensive review of existing literature and case studies, we analyze the key components of ERP systems, their integration with supply chain processes, and the benefits they offer to automotive manufacturers. Additionally, we explore the role of ERP in enhancing operational efficiency, inventory management, demand forecasting, and customer satisfaction. Furthermore, we discuss the challenges associated with ERP implementation and provide recommendations for successful integration and optimization of ERP systems in the four-wheeler automobile industry. 2024 IEEE. -
Examining growth inequality nexus in post-reform Odisha: A sectoral decomposition analysis /
Journal of Development Policy And Practice, Vol.4, Issue 1, pp.12-34 -
Examination of thermal and velocity slip effects on the flow of blood suspended with aluminum alloys over a bi-directional stretching sheet: the ternary nanofluid model
The flow of a ternary nanofluid through a bi-directionally distending sheet has been analyzed by employing the Casson model. The ternary nanofluid is formed by suspending the aluminum alloys namely (Formula presented.) and (Formula presented.) along with the oxide (Formula presented.) into blood. The nanoparticles that are suspended in the base fluid are assumed to be in the shape of a blade so that the maximum surface of the nanoparticle will be intact with the base fluid and thus will absorb more heat from the surface. Also, the shape of the nanoparticle helps in faster movement within the nanofluid. The flow is further subjected to velocity and thermal slips. With these assumptions, the mathematical model is framed with the help of partial differential equations considering thermal radiation and heat source/sink to achieve realistic results. These equations are further transformed into non-linear differential equations that are solved using the (Formula presented.) technique. The results of this study are interpreted graphically for various parameters concerning fluid flow. It is observed that the fluid flow velocity is ebbed considerably with the increase in Casson parameter and the slips at the boundary have enhanced the corresponding fluid profiles. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Examination of sustainability goals: A comparative study of U.S. and Indian firms
Considerable attention has focused on tactics firms use when building their sustainability platforms. Less is known, however, about how sustainability goal setting varies globally, especially in developing economies. Accordingly, we examined sustainability goals of 21 of the 50 largest Indian firms and compared them with similar data from a published study that examined 22 of the 50 largest U.S. firms. In total, 679 sustainability goals were analyzed using a triple bottom line framework. We found U.S. firms set more sustainability goals than Indian firms. Firms from both samples set similar numbers of people goals but U.S. firms set more diversity goals. Indian firms were more inclined to set economic and community development goals. We also detected differences across the samples in planet goals associated with emissions and water. Especially significant, Indian firms were much more likely than U.S. firms to specify profit goals. Implications for research and practice are discussed. 2019 Cambridge University Press and Australian and New Zealand Academy of Management. -
Exact solutions for unsteady mixed convection flow of nanoliquid with exponential heat source: Bruggeman and batchelor nanofluid model
The objective of this paper is to explore the influence of exponential heat source and radiative heat on the thermal and mass transport of nanofluid flow over a vertical sheet. Unlike traditional nanofluid models, the Bruggeman and Batchelor models are utilized to estimate the thermal conductivity and dynamic viscosity of the nanofluid. The water-based copper nanoliquid is considered. Mass flux boundary condition is employed. The governed differential problem is solved by Laplace Transform Method (LTM) for exact solutions. The impact of dimensionless sundry parameters on flow distributions is analyzed and bestowed graphically. The rate of heat transfer has been assessed. Also, the slope of the linear regression line through data points is determined in order to quantify increase/decrease in the Nusselt number. Results exhibited that all the flow fields (velocity and temperature) are increasing functions of thermal and solutal Grashof numbers. Also, the presence of exponential heat source highly affects the heat transfer performance. 2018 by American Scientific Publishers All rights reserved. -
Exact solution of non-coaxial rotating and non-linear convective flow of cual2 o3 h2 o hybrid nanofluids over an infinite vertical plate subjected to heat source and radiative heat
This paper investigates the non-linear convective flow due to non-coaxial rotation of vertical planar plate by utilizing three different liquids namely H2 O (water), Al2 O3 H2 O (nanofluid) and CuAl2 O3 H2 O (hybrid nanofluid). The impacts of Rosselands radiative heat and internal heat generation are also included in this study. The non-coaxial rotation of the plate crafts sine or cosine oscillations in its plane and the liquid at infinity. The density-temperature relation is studied which is nonlinear and causes a nonlinear convective heat transfer. The dynamic viscosity, thermal conductivity, density and specific heat of hybrid-nanofluids are assumed to vary with the volume fraction. These thermophysical properties of hybrid and nanofluids are determined by phenomenological laws and mixture theory. The simulation of the flow was carried out using the appropriate values of the empirical shape factor for five different particle shapes (i.e., sphere, hexahedron, tetrahedron, column and lamina). The LTM (Laplace Transform Technique) is employed to find the exact solutions. The flow, skin friction and thermal features are scrutinized with the discrepancy of governing parameters. The effective fluid properties and the Nusselt number are also calculated for sixteen different hybrid-nano-liquids. 2019 by American Scientific Publishers All rights reserved. -
Exact prediction and consumption of residential electricity power cost hours, daily, weekly, monthly using ant, ML and DL techniques /
Patent Number: 202241055650, Applicant: Dr. S Perumal.
This research describes an unique method for predicting energy consumption based on deep neural networks that can accurately estimate the hourly energy consumption profile of a residential building one day in advance, taking occupancy into account. Providers of energy and utilities can determine the most efficient generation schedule if they have an accurate evaluation of the quantity of energy utilised by houses. A comprehensive review of a number of criteria was undertaken in order to initiate an investigation into the various energy estimation techniques that employ machine learning. -
Exact and statistical computations of radiated flow of nano and Casson fluids under heat and mass flux conditions
The statistical and exact analysis of the unsteady radiative flow of Nano and Casson fluids past a vertical plate with Dufour effect is carried out. The heat transport phenomenon is studied under uniform heat flux (UHF) and uniform wall temperature (UWT) conditions. The exact solution to the problem is found using the Laplace transform method (LTM). The effects of various parameters on velocity, temperature and concentration profiles are examined via graphs. The heat transfer rate and skin friction are analyzed through statistical tools like probable error and regression. The Dufour effect enhances the velocity and temperature profiles. It is also observed that the velocity profile is slightly greater in the case of UWT than the UHF case for both nanofluid and Casson fluid. From the regression analysis, it is established that the Dufour number and nanoparticle volume fraction have a negative impact whereas the radiative heat parameter has a positive impact on the rate of heat transfer. 2019 Society for Computational Design and Engineering -
Evolving Practices of Social-Emotional Learning in India: A Qualitative Synthesis
Social-emotional learning (SEL) is gaining increased significance in India as a critical domain for ensuring the holistic development of children. This qualitative literature synthesis explores how SEL programs/workshops/sessions are being contextualized, implemented, and assessed by eight organizations in India working in the domain of SEL. Miles and Hubermans qualitative data analysis technique was adopted to organize and derive insights. Findings reveal that SEL models in India are growing to be more contextualized and culturally responsive. Programs emphasize systemic, whole-school approaches with multi-modal pedagogies. Assessment practices are gradually evolving while focusing on being localized and stakeholder-informed. This study highlights the need to align national policy with on-ground SEL innovations, institutionalize SEL, and strengthen SEL assessment systems to support long-term, sustainable, and inclusive SEL practices. 2026, IGI Global Scientific Publishing. -
Evolving Financial Services: Metaverse Banking as Catalysts for Financial Inclusion in the Virtual Business World
The Metaverse is an expansive digital universe that can redefine traditional businesses and financial services. It represents a transformative space where virtual worlds intersect with digital assets, offering novel opportunities for businesses to redefine financial services. Despite the rapid growth of digital financial services, financial exclusion remains a major challenge, with approximately 1.4 billion adults globally still unbanked. This study explores the role of Metaverse banking (MB) in financial inclusion, highlighting its opportunities and challenges. This study explores the emergence of MB as a catalyst for financial inclusion within the virtual business world. By integrating MB with financial inclusion theories, the paper presents a conceptual framework to analyze opportunities and risks in this domain. The findings provide practical insights for banks, policymakers, and fintech companies on leveraging MB for inclusive economic development. 2026 Vikas Tripathi and Durgesh Agnihotri. -
Evolving Dynamics of Contactless Technology in Hospitality: Insights From Recent Research and Future Implications
The hospitality sector has been forced by the COVID-19 pandemic to go contactless to protect safety, efficiency, and customer satisfaction. Innovations like mobile check-ins, smart room controls, and touchless payments have brought new services to the market that are customer-friendly and still safe to use. These technologies provide a double advantage by either enhancing guests experience or efficiency for the staff. On the other hand, such factors as the high costs, problems of system integration, and fears of depersonalization are still raising the worries of the hoteliers. It is therefore very important to balance the degree of technology} The concept of Hospitality 5.0 aims at the fusion of both the traditional and the modern elements to create secure yet personalized experiences. The main strategies for achieving the requirement include trust-building, technology simplification, and gamification to promote guest engagement. By taking such approaches, the hospitality industry will be able to redefine and be still competitive and client-oriented. Copyright 2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.