79 20 11858 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical analysis of sustainability of public debt among BRICS nations Description An account of the resource The main objective of this paper is to verify the sustainability of public debt among Brazil, Russia, India, China and South Africa (BRICS) in a political economy framework. Annual panel data have been used for BRICS countries from World Development Indicators of World Bank for the period 19802017 for the analysis. Bohn's sustainability framework is used to examine the sustainability of public debt in BRICS nations and verify the influence of political economic variables such as election year, coalition dummy, ideology of the government and unemployment on public debt sustainability. The results suggest that public debt sustainability is weak for BRICS as a whole. China and India have a better public debt sustainability coefficients compared to the same for Brazil, Russia and South Africa. Structural change dummy included in the model suggests that debt sustainability is severely affected after the 2008 crisis period. Political factors have influence on debt sustainability in BRICS. Electoral cycle year and coalition dummy variables adversely affect public debt sustainability in BRICS. While centrist political ideology is found to be significant and negative, left and right ideologies are not significant for debt sustainability. Since debt sustainability is found to be weak in BRICS, countries in the region need to adopt necessary measures to improve their primary balance through appropriate fiscal and debt management. Besides, it is important for the governments to prioritize fiscal prudence irrespective of their ideologies and political compulsions. 2020 John Wiley & Sons, Ltd Creator An entity primarily responsible for making the resource Joy J.; Panda P.K. Source A related resource from which the described resource is derived Journal of Public Affairs, Vol-21, No. 2 Publisher An entity responsible for making the resource available John Wiley and Sons Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/pa.2170" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/pa.2170</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085571782&doi=10.1002%2Fpa.2170&partnerID=40&md5=64677c98c49e9f28c453994acc5d41f5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085571782&doi=10.1002%2fpa.2170&partnerID=40&md5=64677c98c49e9f28c453994acc5d41f5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14723891 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Joy J., Department of Economics, CHRIST(Deemed to be University), Bengaluru, India; Panda P.K., Department of Economics, Central University of Tamil Nadu, Thiruvarur, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical analysis of the antecedents and barriers to adopting robo-advisors for investment management among Indian investors Subject The topic of the resource Artificial intelligence; FinTech; investment decision-making; Robo-advisors; technology adoption; UTAUT-2 Description An account of the resource This study aims to provide a research framework to understand the antecedents and barriers to adopting Robo-advisors for investment decision-making in India. The study employed a research model based on the extended UTAUT 2, along with three additional constructs, i.e. personal innovativeness (PI), perceived risk (PR), and technological anxiety (TA). Data collected were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the help of SmartPLS 4.0 software. This research will help banks, wealth management service providers, FinTech companies, and Robo-advisor developers improve their platforms, offers, products, and marketing tactics for these automated advisory services. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Nain I.; Rajan S.; Natchimuthu N.; Shivanna G. Source A related resource from which the described resource is derived Macroeconomics and Finance in Emerging Market Economies Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/17520843.2024.2341530" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/17520843.2024.2341530</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191005437&doi=10.1080%2F17520843.2024.2341530&partnerID=40&md5=25033ef8f9c4ba7c669b8170712d51d7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191005437&doi=10.1080%2f17520843.2024.2341530&partnerID=40&md5=25033ef8f9c4ba7c669b8170712d51d7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17520843 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nain I., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India; Rajan S., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India; Natchimuthu N., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India; Shivanna G., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, India https://archives.christuniversity.in/files/original/eef32b02e05f8451e5445534c049e7ce.png 93503eab6a3b9eca44fdfdc04be9688c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Analysis of Turnaround and its Benefits to Stakeholders Subject The topic of the resource Management Description An account of the resource International Journal of Applied Management Research, Vol-6 (1(3), pp. 470-473. ISSN-0974-8709 Creator An entity primarily responsible for making the resource Panicker Sunitha, Rajan Shivakami Publisher An entity responsible for making the resource available International Journal of Applied Management Research Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical and Statistical Analysis of Classification Algorithms Used in Heart Attack Forecasting Subject The topic of the resource Datamining algorithms; Heart attack; Machine Learning; Prediction Description An account of the resource The risk of dying from a heart attack is high everywhere in the world. This is based on the fact that every forty seconds, someone dies from a myocardial infarction. In this paper, heart attack is predicted with the help of dataset sourced from UCI Machine Learning Repository. The dataset analyses 13 attributes of 303 patients. The categorization method of Data Mining helps predict if a person will have a heart attack based on how they live their lives. An empirical and statistical analysis of different classification methods like the Support Vector Machine (SVM) Algorithm, Random Forest (RF) Algorithm, K-Nearest Neighbour (KNN) Algorithm, Logistic Regression (LR) Algorithm, and Decision Tree (DT) Algorithm is used as classifiers for effective prediction of the disease. The research study showed classification accuracy of 90% using KNN Algorithm. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Roy G.; Cherish R.R.; Prathap B.R. Source A related resource from which the described resource is derived Communications in Computer and Information Science, Vol-1973 CCIS, pp. 351-362. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-50993-3_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-50993-3_28</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185727227&doi=10.1007%2F978-3-031-50993-3_28&partnerID=40&md5=f2c1ff6f740575313eb0b7a5a2afd2c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185727227&doi=10.1007%2f978-3-031-50993-3_28&partnerID=40&md5=f2c1ff6f740575313eb0b7a5a2afd2c3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18650929; ISBN: 978-303150992-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Roy G., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Cherish R.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India; Prathap B.R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical and Statistical Analysis of Fetal Health Classification Using Different Machine Learning Algorithm Description An account of the resource The health of both the mother and the baby is affected by how well the fetus is doing during pregnancy, making it a matter of utmost importance. To achieve the best results possible, it is essential to regularly monitor and intervene when needed. While there are many ways to observe the wellbeing of the fetus in the mother's womb, using artificial intelligence (AI) has the potential to enhance accuracy, efficiency, and speed when it comes to diagnosing any issues. This study focuses on developing a machine learning-driven system for accurate fetal health classification. The dataset comprises detailed information on the signs and symptoms of pregnant individuals, particularly those at risk or with emerging fetal health issues. Employing a set of ten machine learning models namely Nae Bayes, Logistic Regression, Decision Tree, Random Forest, KNN, SVM, Gradient Boosting, Linear Discriminant Analysis, Quadratic Discriminant Analysis Light Gradient Boosting Machine (LGBM) along with ensemble-based processes, the Light Gradient Boosting Machine (LGBM) has been identified as a standout performer, accomplishing an accuracy of 96.9%. Furthermore, our exploration demonstrates overall performance like character fashions, signaling promising prospects for sturdy and correct fetal fitness class systems. This study highlights the power of machine learning that could revolutionize prenatal care by identifying fetal health problems early. 2024 IEEE. Creator An entity primarily responsible for making the resource Nagavibha R.; Satheesh M.M.; Chandy M.P.; Prathap B.R. Source A related resource from which the described resource is derived IEEE International Conference on Data Engineering and Communication Systems, ICDECS 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDECS59733.2023.10503087" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDECS59733.2023.10503087</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192565405&doi=10.1109%2FICDECS59733.2023.10503087&partnerID=40&md5=aaaa0591508d2d27802c1ab77c37f36e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192565405&doi=10.1109%2fICDECS59733.2023.10503087&partnerID=40&md5=aaaa0591508d2d27802c1ab77c37f36e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039335-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nagavibha R., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Satheesh M.M., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Chandy M.P., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India; Prathap B.R., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical and Statistical Analysis of Regression Algorithms Used for Mental Fitness Prediction Subject The topic of the resource bipolar disorder; Gradient Boosting; K-Nearest Neighbors (KNN); Linear Regression; Random Forest; schizophrenia; Support Vector Regression (SVR); Theil Sen Regression Description An account of the resource In today's focus on mental well-being, technology's capability to predict and comprehend mental fitness holds substantial significance. This study delves into the relationship between mental health indicators and mental fitness levels through diverse machine learning algorithms. Drawing from a vast dataset spanning countries and years, the research unveils concealed patterns shaping mental well-being. Precise analysis of key mental health conditions reveals their prevalence and interactions across demographics. Enriched by insights into Disability-Adjusted Life Years (DALYs), the dataset offers a comprehensive view of mental health's broader impact. Through rigorous comparative analysis, algorithms like Linear Regression, Random Forest, Support Vector Regression, Gradient Boosting, K-nearest neighbors and Theil Sen Regression are assessed for predictive accuracy. Mean squared error (MSE), root mean squared error (RMSE), and Rsquared (R2) scores are used to assess the predictive accuracy of each algorithm. Results show that Mean Squared Error (MSE) ranged from 0.030 to 1.277, Root Mean Squared Error (RMSE) from 0.236 to 1.130, and R-squared (R2) scores ranged between 0.734 and 0.993, with Random Forest Regressor achieving the highest accuracy. This study offers precise prognostications regarding mental fitness and establishes the underpinnings for the creation of effective tracking tools. Amidst society's endeavor to tackle intricate issues surrounding mental health, our research facilitates well-informed interventions and individualized strategies. This underscores the noteworthy contribution of technology in shaping a more Invigorating trajectory for the future. 2023 IEEE. Creator An entity primarily responsible for making the resource Jamadagni V.; Vedavalli D.; Priyadarshi S.; Vasudev S.; Prathap B.R. Source A related resource from which the described resource is derived Proceedings - 4th IEEE 2023 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2023, pp. 805-810. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCCIS60361.2023.10425084" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCIS60361.2023.10425084</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186500666&doi=10.1109%2FICCCIS60361.2023.10425084&partnerID=40&md5=d6ed9ec084972e2f3f1bbb3a4563ee85" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186500666&doi=10.1109%2fICCCIS60361.2023.10425084&partnerID=40&md5=d6ed9ec084972e2f3f1bbb3a4563ee85</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030611-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jamadagni V., PES University, Computer Science and Engineering, Bengaluru, India; Vedavalli D., PES University, Computer Science and Engineering, Bengaluru, India; Priyadarshi S., PES University, Computer Science and Engineering, Bengaluru, India; Vasudev S., PES University, Computer Science and Engineering, Bengaluru, India; Prathap B.R., Christ University, Computer Science and Engineering, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical evaluation of stress and its impact on the engineering colleges faculty members in Tamil Nadu Subject The topic of the resource Causes of stress; Coping strategies; Effects of stress; Factor analysis; Faculty; Higher education; Level of stress; Stress; Unaided private engineering and technology; UPET; Work environment Description An account of the resource The present study examined the specific causes, levels and effects of stress experienced by faculty members who worked in unaided private engineering and technology (UPET) colleges in the state of Tamil Nadu, India. Factor analysis and structural model were used to evaluate the relationship between the causes, subsequent effects at different level of stress and the appropriate personal and organisational stress coping strategies. Primary data were collected from 560 faculty members by employing convenience sampling method during the academic year 20172018. The study revealed that causes of stress influencing considerably the level of stress and the level of stress explained the high influence on the effect of stress variables. Both effects of stress and causes of stress were negatively influencing the stress coping strategies of personal as well as organisational level strategies. Copyright 2020 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Kumar A.S.; Seranmadevi R. Source A related resource from which the described resource is derived International Journal of Public Sector Performance Management, Vol-6, No. 6, pp. 908-929. Publisher An entity responsible for making the resource available Inderscience Publishers Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1504/IJPSPM.2020.110986" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPSPM.2020.110986</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095992975&doi=10.1504%2FIJPSPM.2020.110986&partnerID=40&md5=30f853e6e0d6e29b604cb7a210e914e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095992975&doi=10.1504%2fIJPSPM.2020.110986&partnerID=40&md5=30f853e6e0d6e29b604cb7a210e914e7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17411041 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar A.S., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Seranmadevi R., School of Management, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Evaluation of the Relationship Between Economic Growth, Population and Solid Waste Generation in India Subject The topic of the resource Economic growth; Environmental Kuznets curve; Municipal solid waste generation; Panel regression; Population; Sustainable development Description An account of the resource Municipal solid waste (MSW) poses a hazard to the environment, human health and well-being and economic growth, if not managed correctly.It is essential to study the determinants of municipal solid waste generation for efficient waste management planning and achieving sustainable growth.The main objective of this paper is to establish a relationship between economic growth, population and MSW generation.Secondly, it aims to verify whether the environmental Kuznets curve (EKC) hypothesis is valid in the Indian context with MSW generation as the proxy variable for environmental degradation.Panel regression has been run using statewise data of MSW generation, state net domestic product (SNDP) per capita and population for the years 2000-2019.The results show a significant positive relationship between the selected variables.Least square regression was applied to verify the validity of the environmental Kuznets curve (EKC) hypothesis in India using nationwide data for MSW generation and GDP per capita for the years mentioned above.The results depicted inverted U-shaped curve with MSW as the dependent variable and GDP per capita as the independent variable and confirmed the validity of the EKC hypothesis. 2022 Scientific Publishers. All rights reserved. Creator An entity primarily responsible for making the resource Ananya S.; Rajeshwari U.R.; Bhat P. Source A related resource from which the described resource is derived Indian Journal of Environmental Protection, Vol-42, No. 11, pp. 1339-1345. Publisher An entity responsible for making the resource available Kalpana Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149036800&partnerID=40&md5=54f674c5c6ded3ee80b0cd7ac28f2e3b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149036800&partnerID=40&md5=54f674c5c6ded3ee80b0cd7ac28f2e3b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2537141; CODEN: IJEPD Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ananya S., Department of Economics, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560 029, India; Rajeshwari U.R., Department of Economics, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560 029, India; Bhat P., Department of Economics, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560 029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Examination of the Factors of Big Data Analytics Implementation in Supply Chain Management and Logistics Subject The topic of the resource Big data analytics; Logistics; Operational efficiency; Supply chain management Description An account of the resource Numerous companies have effectively exploited Big Data Analytics (BDA) potential to enhance their effectiveness in the Big Data period. Given that big data application in logistics and supply chain management (SCM) is nevertheless in its early stages, assessments of BDA could differ from various viewpoints, producing certain difficulties in comprehending the significance and potential of big data. Based on past research on BDA and SCM, this work examines the factors that influence organizations' willingness to implement BDA in their everyday activities. This research divides potential elements into 4 groups: technical, firm, ecological, and supply chain issues. A framework consisting of direct factors like technical, firm, and mediators was presented based on the technology diffusion hypothesis. The experimental findings demonstrated that anticipated advantages and high-level management assistance might have a considerable impact on intended adoption. Furthermore, ecological variables like competitive adoption, administration legislation, and supply chain connection can greatly alter the direct connections between influencing causes and intended adoption. 2023 IEEE. Creator An entity primarily responsible for making the resource Ravindar K.; Syed M.H.; Sampath B.; Rajalakshmi B.; Reddy V.V.; Dutt A. Source A related resource from which the described resource is derived 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 452-456. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/UPCON59197.2023.10434540" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/UPCON59197.2023.10434540</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187337065&doi=10.1109%2FUPCON59197.2023.10434540&partnerID=40&md5=ed79aacb545f2cfe4a4038c2cf06fd1a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187337065&doi=10.1109%2fUPCON59197.2023.10434540&partnerID=40&md5=ed79aacb545f2cfe4a4038c2cf06fd1a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038247-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ravindar K., School of Sciences, Sr University, Telangana, Warangal, India; Syed M.H., Saudi Electronic University, Department of Computer Science, Saudi Arabia; Sampath B., School of Business Management, Christ(Deemed to Be) University, Karnataka, Bangalore, India; Rajalakshmi B., New Horizon College of Engineering, Department of Computer Science, Bangalore, India; Reddy V.V., Institute of Aeronautical Engineering, Dundigal, Hyderabad, India; Dutt A., Lovely Professional University, Phagwara, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Framework Using Weighted Feed Forward Neural Network for Supply Chain Resilience (SCR) Strategy Selection Subject The topic of the resource Artificial Intelligence (AI); Fuzzy Programming and Multi-Level Decision Support (MLDS) framework; Supply Chain Management (SCM); Supply Chain Resilience (SCR) Description An account of the resource Artificial intelligence (AI)-based systems are normally data driven applications, where the model is trained to think on its own based on the external circumstances. The power of AI has reached every facet of business and common life and is even being largely explored to be adopted in life sciences and medical domains. It supports the human in decision-making through the cognitive utilities which arises out of self-learning capabilities of a model. With the exponential growth of data, supply chain management and analytics have attracted a large community of researchers to build intelligent systems which can lead to re-invention of data-driven decision systems powered by AI. Systems and literature of the past shows that AI-based technologies are promising in intelligent supply chain management (SCM) and building resilient SCMs. There is a gap in literature which addresses on the framework for decision support systems in SCM and application of AI methods for building a robust supply chain resilience (SCR) leading to more exploration on the topic. In this paper, a decision framework is proposed by incorporating fuzzy logic and recurrent neural networks (RNN) for disclosing the patterns of various AI-enabled techniques for SCRs. The proposed analysis involved data from leading literatures to determine the most adoptable and significant applications of AI in SCRs. The analysis shows that techniques such as fuzzy programing, network based algorithms, and genetic algorithms have large impact on building SCRs. The results help in decision-making by exhibiting an integrated framework which can help the AI practitioners for developing SCRs. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Rajagopal M.; Sivasakthivel R. Source A related resource from which the described resource is derived Operations Research Forum, Vol-5, No. 2 Publisher An entity responsible for making the resource available Springer International Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s43069-024-00313-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s43069-024-00313-z</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189963474&doi=10.1007%2Fs43069-024-00313-z&partnerID=40&md5=978593c9b896645391109ec527e16c99" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189963474&doi=10.1007%2fs43069-024-00313-z&partnerID=40&md5=978593c9b896645391109ec527e16c99</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26622556 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajagopal M., School of Business and Management, Lean Operations and Systems, CHRIST (Deemed to be University), Bangalore, India; Sivasakthivel R., Department of Computer Science, School of Sciences, CHRIST (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical investigation of foreign direct investment and economic growth in SAARC nations Subject The topic of the resource Economic growth; Foreign direct investment; Time series analysis Description An account of the resource Purpose This paper aims to investigate the causal nexus between foreign direct investment (FDI) and economic growth in SAARC countries. Design/methodology/approach Johansen's cointegration test was employed to examine the long?run relationship between foreign direct investment and economic growth in SAARC countries. Besides, the vector error correction model (VECM) was employed to examine the causal nexus between foreign direct investment and economic growth in SAARC countries for the years 1970?2007. Finally, the impulse response function (IRF) has been employed to investigate the time paths of log of foreign direct investment (LFDI) in response to one?unit shock to the log of gross domestic product (LGDP) and vice versa. Findings The Johansen cointegration result establishes a long?run relationship between foreign direct investment and gross domestic product (GDP) for the sample of SAARC nations, namely, Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. The empirical results of the vector error correction model exhibit a long?run bidirectional causal link between GDP and FDI for the selected SAARC nations except India. The test results show that there is a one?way long?run causal link from GDP to FDI for India. Research limitations/implications This paper employed annual data to examine the causal nexus between FDI and economic growth. Therefore, researchers are encouraged to test the FDI?growth relationship further by using quarterly data. Practical implications The SAARC nations should adopt effective policy measures that would substantially enlarge and diversify their economic base, improve local skills and build up a stock of human capital recourses capabilities, enhance economic stability and liberalise their market in order to attract as well as benefit from long?term FDI inflows. Originality/value This paper would be immensely helpful to the policy makers of SAARC countries to plan their FDI policies in a way that would enhance growth and development of their respective economies. 2011, Emerald Group Publishing Limited Creator An entity primarily responsible for making the resource Srinivasan P.; Kalaivani M.; Ibrahim P. Source A related resource from which the described resource is derived Journal of Asia Business Studies, Vol-5, No. 2, pp. 232-248. Date A point or period of time associated with an event in the lifecycle of the resource 2011-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/15587891111152366" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/15587891111152366</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992969914&doi=10.1108%2F15587891111152366&partnerID=40&md5=5daf37c6b85dc5ff75ee1421ef6d9e32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992969914&doi=10.1108%2f15587891111152366&partnerID=40&md5=5daf37c6b85dc5ff75ee1421ef6d9e32</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15587894 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Srinivasan P., Christ University, Bangalore, Karnataka, India; Kalaivani M., Periyar University, Tamil Nadu, India; Ibrahim P., Department of Economics at Pondicherry University, Puducherry, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Model for Geopolymer Reactions Involving Fly Ash and GGBS Description An account of the resource Numerous works are reported in literature regarding the enhancement of compressive strength of fly ash-GGBS geopolymer combinations with addition of alkali activators of varying concentrations. However, a limited study has been chronicled, revealing the specific role of alkali or alkaline earth contributed by the fly ash-GGBS combinations on the compressive strength development. It is well known that the strength of a geopolymer is dependent on gel formation from Al/Si ratio, Ca/Si ratio, and Ca/(Si + Al) ratio but their exact role when cured for various extended periods is unknown as yet. In the present study, alkali concentration in a fly ash-GGBS geopolymer combination was varied from 6 M to 12 M with increments of two mol in six different fly ash-GGBS combinations with a minimum of 20 percent and a maximum of 70 percent GGBS. The correlation coefficients between compressive strength and Al/Si, Ca/Si, and Ca/(Si + Al) ratios exhibited values higher than 0.95 taken individually. Multiple linear regression analysis with compressive strength (as dependent parameter) and individual values of Al/Si, Ca/Si, and Ca/(Si + Al) ratios (as independent parameters) was effectuated. It was observed that, depending on the composition, the compressive strength circumstantiated a changeover from Ca/Si to Ca/(Si + Al) ratio in the intermediate composition range. Such a detailed analysis is considered supportive of developing a suitable composition which will provide the optimum compressive strength of the combination. 2022 Beulah M et al. Creator An entity primarily responsible for making the resource Beulah M.; Sudhir M.R.; Chen S.; Rai S.; Jain D. Source A related resource from which the described resource is derived Advances in Materials Science and Engineering, Vol-2022 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2022/8801294" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2022/8801294</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123554325&doi=10.1155%2F2022%2F8801294&partnerID=40&md5=6c7f7eafa16b6326fd8d59fbc2486dc9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123554325&doi=10.1155%2f2022%2f8801294&partnerID=40&md5=6c7f7eafa16b6326fd8d59fbc2486dc9</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 16878434 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Beulah M., Department of Civil Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Sudhir M.R., Department of Civil Engineering, School of Engineering and Technology, CHRIST, Deemed to Be University, Karnataka, Bangalore, India; Chen S., Civil and Environmental Engineering, University of North Carolina, Charlotte, 28223, NC, United States; Rai S., Department of Civil Engineering, School of Engineering, KS School of Engineering and Management, Karnataka, Bangalore, India; Jain D., Department of Construction Technology and Management, Bule Hora University, Blue Hora, Ethiopia Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Study of Blockchain Technology, Innovation, Service Quality and Firm Performance in the Banking Industry Subject The topic of the resource Bank; Blockchain; Financial service; Innovation; Performance; Service quality Description An account of the resource Despite the potential promises that blockchain technology (BT) offers to the financial services sector, its large-scale implementations are still in a nascent stage. There is no consensus on what benefits BT may bring, and there is always a possibility of difference between expected benefits and experienced real-world impact. Since the actual impact can be assessed only after large-scale implementations by financial institutions, there is little empirical evidence available in the literature. In this context, this research seeks to explore the potential impact of BT by developing and empirically testing a model. For this purpose, we have identified four dimensions of BT, namely, Decentralization, Transparency, Trustlessness, and Security. The impact of BT on innovation, service quality, and firm performance is assessed based on the extent to which these dimensions are present in the organization. The linkages of the latent constructs are estimated by analyzing the primary data collected from senior managers of various banks in India. The findings of this study provide several important considerations regarding the implementation of BT. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. Creator An entity primarily responsible for making the resource Rekha A.G.; Resmi A.G. Source A related resource from which the described resource is derived Eurasian Studies in Business and Economics, Vol-16, No. 1, pp. 75-89. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-63149-9_5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-63149-9_5</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108281386&doi=10.1007%2F978-3-030-63149-9_5&partnerID=40&md5=05d1434a3dbe38c66555183ad986234d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108281386&doi=10.1007%2f978-3-030-63149-9_5&partnerID=40&md5=05d1434a3dbe38c66555183ad986234d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23645067 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rekha A.G., Research wing-SBIL, State Bank of India, Kolkata, India; Resmi A.G., Business Studies and Social Sciences, Christ (Deemed to be University), Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Study ofSignal Transformation Techniques onEpileptic Seizures Using EEG Data Subject The topic of the resource Brain disorder; EEG; Epileptic seizures; Feature selection; Signal transformation techniques Description An account of the resource Signal processing may be a mathematical approach to manipulate the signals for varied applications. A mathematical relation that changes the signal from one kind to a different is named a transformation technique in the signal process. Digital processing of electroencephalography (EEG) signals plays a significant role in a highly multiple application, e.g., seizure detection, prediction, and classification. In these applications, the transformation techniques play an essential role. Signal transformation techniques are acquainted with improved transmission, storage potency, and subjective quality and collectively emphasize or discover components of interest in an extremely measured EEG signal.The transformed signals result in better classification. This article provides a study on some of the important techniques used for transformation of EEG data. During this work, we have studied six signal transformation techniques like linear regression, logistic regression, discrete wavelet transform, wavelet transform, fast Fourier transform, and principal component analysis with Eigen vector to envision their impact on the classification of epileptic seizures. Linear regression, logistic regression, and discrete wavelet transform provides high accuracy of 100%, and wavelet transform produced an accuracy of 96.35%. The proposed work is an empirical study whose main aim is to discuss some typical EEG signal transformation methods, examine their performances for epileptic seizure prediction, and eventually recommend the foremost acceptable technique for signal transformation supported by the performance. This work also highlights the advantages and disadvantages of all seven transformation techniques providing a precise comparative analysis in conjunction with the accuracy. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Umme Salma M.; Najmusseher Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 797-806. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9113-3_58" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9113-3_58</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133549247&doi=10.1007%2F978-981-16-9113-3_58&partnerID=40&md5=7108ff4d6c1b6129f3438b59ab2358bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133549247&doi=10.1007%2f978-981-16-9113-3_58&partnerID=40&md5=7108ff4d6c1b6129f3438b59ab2358bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Umme Salma M., Assistant Professor Department of Computer Science, Christ (Deemed to be University), Hosur Road, Bangalore, India; Najmusseher, Research Scholar Department of Computer Science, Christ (Deemed to be University), Hosur Road, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Study on announcement effects of right issues on share price volatility and liquidity and its impact on market wealth creation of informed investors in Bangalore with special reference to CNX Nifty Stocks of NSE Subject The topic of the resource Management Studies Description An account of the resource Excel International Journal of Multidisciplinary Management Studies Vol. 2, No. 7, pp 41-58, ISSN No. 0972-687X Creator An entity primarily responsible for making the resource Suresha B and Gajendra Naidu Publisher An entity responsible for making the resource available Excel International Journal of Multidisciplinary Management Studies Vol. 2, No. 7, pp 41-58, ISSN No. 2249-8834 Date A point or period of time associated with an event in the lifecycle of the resource 2012 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Study on Gold ETF Volatility - Evidence From Indian Market Subject The topic of the resource Management Description An account of the resource Zenith International Journal of Business Economics & Management Research, Vol-3 (7), pp. 223-232. ISSN-2249-8826 Creator An entity primarily responsible for making the resource Suresha B Publisher An entity responsible for making the resource available Zenith International Journal of Business Economics & Management Research Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical study on impact of changes in macro economic variables on bond yield curve - Evidence from Indian corporate bond market / Subject The topic of the resource Management Description An account of the resource Research Journal Of Finance And Accounting, Vol.6, Issue 11, pp.396-403, ISSN No: 2222-2847 (Online) 2222-1697 (Print) Creator An entity primarily responsible for making the resource B Suresha., N Shruthi Source A related resource from which the described resource is derived <a href="https://www.iiste.org/Journals/index.php/RJFA/article/view/23357" target="_blank" title="An empirical study on impact of changes in macro economic variables on bond yield curve - Evidence from Indian corporate bond market" rel="noreferrer noopener">https://www.iiste.org/Journals/index.php/RJFA/article/view/23357</a> Publisher An entity responsible for making the resource available IISTE Date A point or period of time associated with an event in the lifecycle of the resource 2015-02-10 Language A language of the resource English Type The nature or genre of the resource Journal Article https://archives.christuniversity.in/files/original/07dd8c17a2bd200a95bfa220cf2a0a17.png 7467c4eda154d528036539fee9d77c72 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical study on price pressure and liquidity effect of stock split announcement- Evidence from Indian Market Subject The topic of the resource Economics Description An account of the resource International Journal of Marketing and Technology Vol.3,No.1,pp.138-156 ISSN No. 2249-1058 Creator An entity primarily responsible for making the resource Suresha B, Dr. Gajendra Naidu Publisher An entity responsible for making the resource available International Journal of Marketing and Technology Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English https://archives.christuniversity.in/files/original/057ad74ba3723e79ad5ce7cd5e2c2c3a.jpg 8a3386f29588b14ebe8ddb597676e913 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Empirical Study on Stochastic Volatility - Evidence From Indian Commodity Future Market Subject The topic of the resource Management Description An account of the resource Asian Journal of Research in Business Economics and Management, Vol-3 (8), pp. 39-46. ISSN-2249-7307 Creator An entity primarily responsible for making the resource Suresha B Publisher An entity responsible for making the resource available Asian Journal of Research in Business Economics and Management Date A point or period of time associated with an event in the lifecycle of the resource 2013 Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An empirical study on the clients perspective in decision making with regard to lawyer selection for trial courts: Does grey hair matter? Subject The topic of the resource Age; Clients lawyer selection; Junior lawyers; Seniority; Trial court Description An account of the resource In higher courts, statutory interpretation and persuasion of the court with new perspectives on legal principles are critical. Whereas, the main focus of the subordinate courts is on evidential underpinnings. Hence, the lawyers in all courts are an indispensable part of the judicial process and play a seminal role in the dispensation of justice. The existing literature demonstrates that engaging a senior lawyer increases the chances of winning cases. However, young lawyers today make their mark by establishing their own offices, succeeding in the profession, while some remain the dark horses of their incumbent seniors. Against this backdrop, the authors explore the clients perception of the lawyer selection process and the significance of lawyers age using a mixed methods approach. The data for this study was gathered from trial court clients using a convenient sampling method. The qualitative data were collected by conducting semi-structured interviews with clients. Interviews were analysed at a thematic level and broad themes were identified and used as constructs for a quantitative survey questionnaire. The quantitative data were analysed through Pearson correlation, regression analysis, and factor analysis. The study determined that lawyers efficiency is a key factor considered by trial court clients in selecting their lawyers. The results also revealed that there exists a significant positive correlation between the age of the lawyer and the clients decision making when choosing their lawyers. In the end, the implications of the findings are discussed. 2022, The Author(s), under exclusive licence to O.P. Jindal Global University (JGU). Creator An entity primarily responsible for making the resource Sharmila H.S.; Jain S.A. Source A related resource from which the described resource is derived Jindal Global Law Review, Vol-13, No. 2, pp. 277-305. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41020-022-00181-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41020-022-00181-w</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143415518&doi=10.1007%2Fs41020-022-00181-w&partnerID=40&md5=595e7e8b818f5db600554f0b1babce12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143415518&doi=10.1007%2fs41020-022-00181-w&partnerID=40&md5=595e7e8b818f5db600554f0b1babce12</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 9752498 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharmila H.S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Jain S.A., CHRIST (Deemed to be University), Karnataka, Bengaluru, India