Browse Items (11810 total)
Sort by:
-
Evolving corporate sustainable development: a case study of Mysore Paper Mills Limited
In 1987, the World Commission on Economic Development (WCED) popularized the term sustainable development in its well-cited report, Our Common Future. According to this report, sustainable development is defined as the development that meets the needs of the present without compromising the ability of future generations to meet their own needs. The WCED asserted that sustainable development required simultaneous adoption of environmental, economical, and equity principles. Bansal (Strategic Management Journal, 26(3), 197218, 2005) has conducted a study of Canadian firms in the oil and gas, mining, and forestry industries from 1986 to 1995. The study found that both resources based and institutional factors influence corporate sustainable development. This paper studied the corporate sustainable development of Mysore Paper Mills Ltd. from 1995 to 2011 using the same model. The study found that independent variables with significant impact on environmental integrity and overall sustainability were fines, penalties, court cases (total) involved by the company, and log of total assets. On economic prosperity, the independent variable with significant impact is log of total assets. For social equity, the independent variable with significant impact is foreign sales as percentage of total sales, number of fines/penalties/court cases (total), number of fines/penalties/court cases (environmental), log(total assets), and return on equity. 2013, Springer Science+Business Media Dordrecht. -
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 -
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 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 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. -
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. -
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. -
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 -
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 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 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 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 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 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 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 effect of explicit instruction on vocabulary learning and on receptive-productive gap: An experimental study
This research study emphasized the importance of explicit instruction and repeated exposure to the target vocabulary for effective reception and production of new words among the second language learners of English. The purpose of the study was to examine the efficacy of the researcher- created supplementary for the prescribed set of vocabulary in the English language textbook. The study aimed to find out the amount of influence the explicit instruction and repeated exposure to the target vocabulary had on the nature of the receptive- productive gap. A total of sixty-two sixth grade students from a Government school in Tamil Nadu, India, participated in the experimental study which was conducted over a period of three months. The results of the study showed that the explicit instruction and repeated exposure to the target vocabulary had a significant amount of influence on vocabulary knowledge when compared to the conventional way of vocabulary instruction. In the conventional mode of vocabulary instruction, reception of vocabulary was found to have an average of 8% influence on the production knowledge, whereas in the case of the experimental group, it amounted up to 72%. This analysis showed that through explicit instruction and repeated exposure to the target vocabulary the receptive- productive gap is significantly reduced. 2020 JLLS and the Authors - Published by JLLS. -
Examining the facilitators of I4.0 practices to attain stakeholders collaboration: a circular perspective
The fourth industrial revolution (I4.0) has changed the traditional business model, bringing various benefits, including increased efficiency and productivity in organizations. However, to attain success in I4.0 practices requires collaboration from various stakeholders. This study objectives to identify the facilitators of I4.0 practices that can lead to successful collaboration among stakeholders from a circular perspective. An extensive literature review is performed to identify 14 potential facilitators. Further, the study adopts a mixed methodology of Best-Worst Method (BWM) and Interpretive Structural Modeling (ISM) to analyze the interconnectedness among the identified facilitators. BWM method was used to determine the relative importance of the identified facilitators, while ISM technique was used to determine the relationships between the facilitators of I4.0 practices. The findings from the study reveal that to strengthen stakeholder collaboration, organizations need to focus more on training and capacity-building programs and create more opportunities for technology exchange. 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Examining the Impact of Argument Quality and Source Credibility on Consumers Behavioral Intention Toward Green Cosmetics: The Moderating Role of Perceived Innovativeness
Purpose: This study integrated the knowledge-attitude-behavior (KAB) model and the theory of planned behavior (TPB) to analyze how elements of electronic word of mouth (eWOM)argument quality (AQ) and source credibility (CR)influenced customers green cosmetics behavioral intention (BI). Methodology: Data were collected from a sample of 350 customers through an online survey, and a two-stage process was used to evaluate the research model. In the first stage, linear associations between the various elements of the theoretical model were determined using structural equation modeling (SEM). The second stage involved evaluating the predicting efficacy of the constructs, using an artificial neural network (ANN) framework. Findings: The findings of the multi-analytical study revealed that attitude (Atd), perceived behavioral control (Pbcon), and source credibility (CR) influenced consumers intentions to buy green cosmetics. Moreover, the sources credibility (CR) and the arguments quality (AQ) also positively influenced consumer attitude (Atd). The models appeared to have acceptable prediction accuracy based on the ANN studys root mean square of error (RMSE) values. Originality: The study contributed to the body of green cosmetics literature by integrating knowledge-attitude-behavior (KAB) and planned behavior (TPB) theory. The novelty of this research also lies in examining the moderating effect of perceived innovativeness (PI) for developing a robust predictive framework for green cosmetics purchase intention using artificial neural networks (ANN). 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
EXAMINING THE IMPACT OF IMPOSTOR PHENOMENON ON PSYCHOLOGICAL WELL-BEING AND PERCEIVED SOCIAL SUPPORT AMONG GRADUATE STUDENTS
Background: The mounting pressure to pursue novel endeavours, excel in academics and extracurriculars, improper mentoring, and looming deadlines have primarily been responsible for graduate students succumbing to the cut-throat competition prevalent in universities. In trying to keep up with the growing expectations, they may experience Impostor Phenomenon, which is often accompanied by feelings of unwarranted inadequacy and intellectual fraudulence-where students constantly question their capabilities despite evident success. Attributing their accomplishments to a stroke of luck, they believe they are not worthy of praise. These experiences of impostor phenomenon end up exacting a heavy toll on the mental well-being of graduate students and subsequently, their perceptions of available sources of social support. Purpose: In this context, the present investigation attempts to explore the impact of impostor phenomenon on psychological well-being and perceived social support among Indian graduate students; and analyze the gender differences in the experiences of impostor phenomenon. Design/Methodology/Approach: The sample consisted of 230 Indian graduate students (115 males and 115 females) aged 18-25 years, who had academic scores equivalent to, or above, 65%. Purposive sampling technique was employed to gather data using the Clance Impostor Phenomenon Scale, Ryffs Psychological Well-Being Scale, and the Multidimensional Scale of Perceived Social Support. Findings: Results of the study yielded that Impostor Phenomenon is a significant negative predictor of Psychological Well-Being, however no significant relationship was established with Perceived Social Support. No significant gender differences emerged from the data analysis. Conclusion: The results can be utilized heuristically to facilitate the identification of graduate students experiencing impostor phenomenon, provide early interventions, and prevent the culmination of the same into psychopathology, thus enriching the literature on this lesser-known phenomenon in an Indian context. 2022 RJ4All. -
Examining the impact of uncertainty on business performance via strategic cost management adoption and implementation: the case of agro-based industries in and around Punjab, India
Dynamic business environments require a change to survive. Strategic cost management (SCM) must re-conceive its future as new, improved, or reformed under opportunities and tough demands. Traditional cost management may not be adaptable to business turbulence. Increasing shareholder and customer demand, rapid information and technology improvements in manufacturing, and worldwide market rivalry with antiquated tools can be difficult. SCM goes beyond cost reduction and includes revenue generation and competitive advantage. This article examines the relationship between adopting and applying SCM approaches and company success in agro-based industrial businesses. Empirical survey data from agro-based industrial companies in Punjab were analysed using multivariate data analysis. According to contingency theory, size, technology, total productivity maintenance, strategy, and organisation culture are factors related to strategic cost management. All dependent factors, including control variable size, favourably affected SCM acceptance and utilisation, which has a pragmatic effect on agro-based businesses. SCM utilisation also mediated performance. 2025 Inderscience Enterprises Ltd.