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                <text>Entropy generation and thermal analyses of a Cross fluid flow through an inclined microchannel with non-linear mixed convection</text>
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                <text>The temperature difference of the various applications such as microchannel heat exchangers, microelectronics, solar collectors, automotive systems, micro fuel cells, and microelectromechanical systems (MEMS) is relatively large. The buoyancy force (mixed convection) modeled by the conventional Boussinesq approximation is inadequate since the density of the operating fluids fluctuates non-linearly with the temperature difference. Therefore, the mixed non-linear convective transport of the flow of Cross fluid through three different geometric aspects (horizontal, vertical, and inclined) of the microchannel under the non-linear Boussinesq (NBA) approximation is investigated. Mechanisms of internal heat source, Rosseland radiative heat flux, and frictional heating are incorporated into the thermal analysis. The mathematical construction is proposed using the Cross fluid model for a steady-state, and subsequent non-linear differential equations are deciphered by the spectral quasi-linearization method (SQLM). Graphical sketches were constructed and displayed that explore the stimulus of various key parameters on Bejan number, velocity, temperature, and entropy generation. It is found that the Bejan number and entropy production improved due to the non-linear density temperature variation. The convective heating boundary conditions augment the entropy production. The pressure gradient accelerates the transport of fluid in a microchannel. Furthermore, among three different geometries, the velocity, entropy production, and temperature are the highest for the vertical microchannel.  2023 Wiley-VCH GmbH.</text>
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                <text>Srinivas Reddy C.; Mahanthesh B.; Rana P.; Muhammad T.</text>
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                <text>ZAMM Zeitschrift fur Angewandte Mathematik und Mechanik, Vol-103, No. 8</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/zamm.202100364" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/zamm.202100364&lt;/a&gt;
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                <text>ISSN: 442267</text>
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                <text>Srinivas Reddy C., Department of Mathematics, Government City College, Telangana, Hyderabad, India; Mahanthesh B., Center of Mathematical Needs, Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rana P., School of Mathematical Sciences, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China; Muhammad T., Department of Mathematics, College of Sciences, King Khalid University, Abha, Saudi Arabia</text>
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                <text>Entropy generation analysis of tangent hyperbolic fluid in quadratic Boussinesq approximation using spectral quasi-linearization method</text>
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                <text>convective boundary condition; entropy production; nonlinear Boussinesq approximation; O357.5; spectral quasi-linearization method (SQLM); tangent hyperbolic fluid</text>
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                <text>In many industrial applications, heat transfer and tangent hyperbolic fluid flow processes have been garnering increasing attention, owing to their immense importance in technology, engineering, and science. These processes are relevant for polymer solutions, porous industrial materials, ceramic processing, oil recovery, and fluid beds. The present tangent hyperbolic fluid flow and heat transfer model accurately predicts the shear-thinning phenomenon and describes the blood flow characteristics. Therefore, the entropy production analysis of a non-Newtonian tangent hyperbolic material flow through a vertical microchannel with a quadratic density temperature fluctuation (quadratic/nonlinear Boussinesq approximation) is performed in the present study. The impacts of the hydrodynamic flow and Newtons thermal conditions on the flow, heat transfer, and entropy generation are analyzed. The governing nonlinear equations are solved with the spectral quasi-linearization method (SQLM). The obtained results are compared with those calculated with a finite element method and the bvp4c routine. In addition, the effects of key parameters on the velocity of the hyperbolic tangent material, the entropy generation, the temperature, and the Nusselt number are discussed. The entropy generation increases with the buoyancy force, the pressure gradient factor, the non-linear convection, and the Eckert number. The non-Newtonian fluid factor improves the magnitude of the velocity field. The power-law index of the hyperbolic fluid and the Weissenberg number are found to be favorable for increasing the temperature field. The buoyancy force caused by the nonlinear change in the fluid density versus temperature improves the thermal energy of the system.  2021, Shanghai University.</text>
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                <text>Srinivas Reddy C.; Mahanthesh B.; Rana P.; Nisar K.S.</text>
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                <text>Applied Mathematics and Mechanics (English Edition), Vol-42, No. 10, pp. 1525-1542.</text>
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                <text>Springer Science and Business Media B.V.</text>
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                <text>ISSN: 2534827; CODEN: AMMEE</text>
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                <text>Srinivas Reddy C., Department of Mathematics, Government City College, Hyderabad, 500002, Telangana, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Rana P., School of Mathematical Sciences, College of Science and Technology, Wenzhou-Kean University, Wenzhou, 325060, China; Nisar K.S., Department of Mathematics, College of Arts and Sciences, Prince Sattam bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia</text>
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                <text>Factors influencing dynamic capabilities of entrepreneurial-led organisations to achieve analytical transformation</text>
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                <text>advanced analytics; analytical decision making; analytical orientation; analytical transformation; data centralisation; data infrastructure; dynamic capability; entrepreneur led organisation; evidence-based decision making; information processing; networking capability; organisation efficiency; organisational effectiveness; predictive analytics; prescriptive analytics</text>
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                <text>Entrepreneurial spirit transforms the economic scenario resulting in a significant contribution to society. Analytical transformation enables entrepreneurs with superior effective decision-making capability through information gathering, advanced technology adoption and data analysis. Effective analysis leads to superior organisational performance. However, in entrepreneurial-led large Indian organisations, the adoption of analytics is limited to predicting results. The study aims to identify the key factors that impact analytical transformation. The study also aims to identify key dynamic capabilities to achieve such transformation. This article identifies base theories related to the identified concepts. This article aims to develop an analytical transformation capability model for entrepreneurial-driven large industries. This study also empirically validates the proposed research model. The study concludes that entrepreneurial-led large Indian technology-driven industries lag behind their technology peers in adopting prescriptive analytics. The study also proposes an analytical transformation theory that aims to provide necessary techniques to improve organisational effectiveness. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Srinivas S.K.; Kumar A.A.; Elangovan N.</text>
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                <text>International Journal of Business Environment, Vol-16, No. 1, pp. 77-98.</text>
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                <text>Inderscience Publishers</text>
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                <text>2025-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJBE.2025.143091" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJBE.2025.143091&lt;/a&gt;
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                <text>ISSN: 17400589</text>
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                <text>English</text>
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                <text>Srinivas S.K., Christ University, Karnataka, Bangalore, 560029, India; Kumar A.A., Christ University, Karnataka, Bangalore, 560029, India; Elangovan N., Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Best unbiased estimation and CAN property in the stable M/M/1 queue</text>
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                <text>Consistent asymptotic normality; M/M/1 queueing system; Uniform minimum variance unbiased estimator</text>
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                <text>The performance of every electrical system depends on the different electrical devices especially transformers. Petroleum-based mineral oil is widely used for insulation and cooling purpose. The disadvantage of mineral oil is its low biodegradability and is a major threat to the ecosystem due to its poor oxidative stability. To remedy the drawbacks, focus on alternative fluids that can replace traditional mineral oil. Alternative liquids such as natural esters are used which do not panic the ecosystem. With the support of additives in natural esters liquids, the productivity of the oil can be increased, paving the path for the green conversion of liquids in high voltage applications. The purpose of this article is to analyze the electrical properties of the newly developed indigenous oil. The inhibited oil was insulating oil to which antioxidants were added such as 2,6-ditertiary-butylparacresol, butylated hydroxyl anisole and tertiary butyl hydro qunine to slow down the oxidation rate and to check the electrical properties. This article discusses the electrical properties of mineral oil, developed indigenous oil with and without antioxidants as per IEC62770 standards. A 1.1 kVA transformer was then designed in a laboratory for load tests and Indigenous oil performance under load was evaluated.  2023 Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>Indonesian Journal of Electrical Engineering and Computer Science, Vol-29, No. 2, pp. 609-617.</text>
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                <text>Srinivasa D.M., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Surendra U., Department of Electrical and Electronics, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Liquid dielectrics are extensively used in electrical apparatus which are operating in distribution and transmission systems. The function of electrical equipment strongly depends on the conditions of liquid dielectric. Liquid dielectrics used are the most expensive components in power system apparatus like transformers and circuit breakers. A failure of these equipment would causes a heavy loss to the electrical industry and also utilities. Insulation failures are the leading cause of transformer failures and thus the liquid dielectrics plays a major role in the safe operation of transformers. One of the main causes for the failure of transformers is due to the presence of moisture. In this work, the life of insulating medium is estimated by comparing the Breakdown strength and Viscosity of different pure oils with that of the contaminated oils (which contains moisture) and also finding the alternative for mineral oil. vegetable oils which are reliable, cost-effective and environmental friendly even when they are contaminated.  2019 IEEE.</text>
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                <text>ISBN: 978-153868190-9</text>
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                <text>Srinivasa D.M., PESCE, EE Department, Karnataka, Mandya, India; Surendra U., Christ (Deemed to Be University), EE Department, Karnataka, Bangalore, India</text>
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                <text>Investigation of dielectric properties of indigenous blended ester oil for electric system applications</text>
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                <text>Antioxidants; Degasification; Indigenous oil</text>
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                <text>The insulation condition of a transformer decides the longevity of the equipment. The unpredicted failure of power transformer will lead to major disaster in the distribution network and it affects both environment and public safety. Nowadays synthetic oil and natural esters are alternatives to transformer oil because of the biodegradable nature. In this paper, investigations were carried out to study the performance of the blended ester. The different properties investigated were viscosity, breakdown voltage, flash point, dielectric dissipation factor and moisture content. Comparisons of the properties were made between mineral oil, vegetable oil without additives and with additives. Further Investigation was carried out to study the impact of antioxidants and degasification. The results indicated that the addition of antioxidants and degasification of the vegetable oil improve significantly its voltage withstanding capacity. The Indigenous oil is code named as DM; Indigenous oil with DBPC is codenamed as DM1, Indigenous oil with BHA is codenamed as DM2. The results have been tabulated and found to be satisfactory.  2020 ASTES Publishers. All rights reserved.</text>
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              <elementText elementTextId="126776">
                <text>Srinivasa D.M.; Surendra U.; Pattanshetti V.V.</text>
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                <text>Advances in Science, Technology and Engineering Systems, Vol-5, No. 5, pp. 669-673.</text>
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                <text>ASTES Publishers</text>
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                <text>&lt;a href="https://doi.org/10.25046/AJ050582" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.25046/AJ050582&lt;/a&gt;
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              <elementText elementTextId="126781">
                <text>All Open Access; Gold Open Access</text>
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              <elementText elementTextId="126782">
                <text>ISSN: 24156698</text>
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                <text>Srinivasa D.M., Department of E&amp;amp;E Engineering, PES College of Engineering, Mandya, 571401, India; Surendra U., Department of E&amp;amp;E Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, 560074, India; Pattanshetti V.V., Central Power Research Institute, Bangalore, 560074, India</text>
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          <element elementId="50">
            <name>Title</name>
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              <elementText elementTextId="108646">
                <text>Studies on Tensile Properties of Graphene Hydroxyl Reinforced Aluminium 6061 Composites for Vehicle Structures Applications</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="108647">
                <text>Aluminium; Cohesive strength; Composites; Graphene hydroxyl; Vehicle structures</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="108648">
                <text>Aluminium composite plays a significant role in the mechanical structures. Low tensile strength of the aluminium alloy limits its application in mechanical structures. Graphene hydroxyl (GrOH) is a noble emerging material which is an allotropic form of carbon. It has high cohesive strength, good bonding ability with other materials. Carbon bonds processes high compatibility when it reinforced with other material. Reinforcement of GrOH with aluminium composites enhances the wear strength of composite material. This paper focused on analysis of tensile properties and percentage elongation of aluminium composites reinforced with GrOH with various weight percentage (wt. %). The characteristics of aluminium composites, particularly related to its tensile properties are very much important for its use in vehicle structures applications.  2022. MechAero Foundation for Technical Research &amp;amp; Education Excellence.</text>
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              <elementText elementTextId="108649">
                <text>Srinivasa M.R.; Rammohan Y.S.; Sadashiva M.; Yathish M.K.; Ramesha K.; Thomas S.</text>
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              <elementText elementTextId="108650">
                <text>International Journal of Vehicle Structures and Systems, Vol-14, No. 2, pp. 223-225.</text>
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              <elementText elementTextId="108651">
                <text>MechAero Found. for Techn. Res. and Educ. Excellence</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="108652">
                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.4273/IJVSS.14.2.16" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4273/IJVSS.14.2.16&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127979111&amp;amp;doi=10.4273%2FIJVSS.14.2.16&amp;amp;partnerID=40&amp;amp;md5=e1d632bdb5a6b0a79f1c4f29de319dec" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127979111&amp;amp;doi=10.4273%2fIJVSS.14.2.16&amp;amp;partnerID=40&amp;amp;md5=e1d632bdb5a6b0a79f1c4f29de319dec&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="108654">
                <text>Restricted Access</text>
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              <elementText elementTextId="108655">
                <text>ISSN: 9753060</text>
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              <elementText elementTextId="108657">
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              <elementText elementTextId="108659">
                <text>Srinivasa M.R., Dept. of Mech. Engg., P.E.S. College of Engg, Karnataka, Mandya, India; Rammohan Y.S., Dept. of Industrial and Production Engg., P.E.S. College of Engg, Karnataka, Mandya, India; Sadashiva M., Dept. of Mech. Engg., P.E.S. College of Engg, Karnataka, Mandya, India; Yathish M.K., Dept. of Mech. Engg, B.M.S. College of Engg, Karnataka, Bengaluru, India; Ramesha K., Dept. of Mech. Engg., School of Engg. and Tech, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, India; Thomas S., Dept. of Mech. Engg., School of Engg. and Tech, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, India</text>
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      <name>PhD</name>
      <description>PhD Thesis</description>
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        <description>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/.</description>
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                <text>Synthesize of Indigenous Natural Ester Based Liquid Dielectrics and its Performance Evaluation in Transformers  </text>
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                <text>Transformer is generally considered to be the heart of the power system. Transformers are the main equipment in the transmission and distribution network to be monitored for uninterrupted flow of power. The liquid newlinedielectrics play an important role in functioning of transformer. It serves as an effective coolant and also it determines the life of transformer. Thus, the reliability of a power transformer is largely determined by the condition of insulation. The transformer oil is the bi product of petroleum. However, the usage of petroleum oil is running out of demand and there may be a severe shortage of oil exists in future. Also during its newlineuse and disposition, transformer oil is highly dangerous to aquatic and human life due to its non-biodegradability and hence it is not environment eco-friendly. This has given scope for new alternative biodegradable dielectric fluids such as natural esters, replacing the traditional mineral oil. These vegetable-oil-based liquids are non-toxic newlineand meet all the requirements for a high temperature insulating liquid. The Partial discharge pulses present in the liquid dielectric leads to breakdown of streamer development and formation of sludge. Hence it is important to analyze the Partial Discharge properties of oils. The aim of newlinethe present work is to investigate suitability of Indigenous Natural Ester newlinebased liquid dielectrics as a liquid dielectric coolant and also to analyze newlinethe partial discharge phenomena, particularly in transformers. The results obtained are well within the IEC 62770 standards. Results shows that developed indigenous natural ester oil that has better viscosity, breakdown voltage, flash point and partial discharge properties. As a result, developed indigenous oil will be an alternate for mineral oil in newlinehigh-voltage applications.</text>
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              <elementText elementTextId="70236">
                <text>Srinivasa, D M</text>
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                <text>Christ(Deemed to be University)</text>
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              <elementText elementTextId="70240">
                <text>Surendra, Usha.</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="70241">
                <text>Open Access</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/572095" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/572095&lt;/a&gt;</text>
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              <elementText elementTextId="83525">
                <text>Reinforcement learning strategies using Monte-Carlo to solve the blackjack problem</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="83526">
                <text>Blackjack; Dynamic programming; Monte Carlo; Q-learning; Reinforcement learning; Temporal difference</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
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              <elementText elementTextId="83527">
                <text>Blackjack is a classic casino game in which the player attempts to outsmart the dealer by drawing a combination of cards with face values that add up to just under or equal to 21 but are more incredible than the hand of the dealer he manages to come up with. This study considers a simplified variation of blackjack, which has a dealer and plays no active role after the first two draws. A different game regime will be modeled for everyone to ten multiples of the conventional 52-card deck. Irrespective of the number of standard decks utilized, the game is played as a randomized discrete-time process. For determining the optimum course of action in terms of policy, we teach an agent-a decision maker-to optimize across the decision space of the game, considering the procedure as a finite Markov decision chain. To choose the most effective course of action, we mainly research Monte Carlo-based reinforcement learning approaches and compare them with q-learning, dynamic programming, and temporal difference. The performance of the distinct model-free policy iteration techniques is presented in this study, framing the game as a reinforcement learning problem.  2024 Institute of Advanced Engineering and Science. All rights reserved.</text>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="83528">
                <text>Srinivasaiah R.; Biju V.G.; Jankatti S.K.; Channegowda R.H.; Jinachandra N.S.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="83529">
                <text>International Journal of Electrical and Computer Engineering, Vol-14, No. 1, pp. 904-910.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="83530">
                <text>Institute of Advanced Engineering and Science</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="83531">
                <text>2024-01-01</text>
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            </elementTextContainer>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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              <elementText elementTextId="83532">
                <text>&lt;a href="https://doi.org/10.11591/ijece.v14i1.pp904-910" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijece.v14i1.pp904-910&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183612671&amp;amp;doi=10.11591%2Fijece.v14i1.pp904-910&amp;amp;partnerID=40&amp;amp;md5=dc957d43a99266da491571b17f26867d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183612671&amp;amp;doi=10.11591%2fijece.v14i1.pp904-910&amp;amp;partnerID=40&amp;amp;md5=dc957d43a99266da491571b17f26867d&lt;/a&gt;</text>
              </elementText>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="83533">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="83534">
                <text>ISSN: 20888708</text>
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          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="83535">
                <text>Online</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="83536">
                <text>English</text>
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          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="83537">
                <text>Article</text>
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            </elementTextContainer>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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                <text>Srinivasaiah R., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST Deemed to be University, Bengaluru, India; Biju V.G., MAI, Faculty of Computer Science and Business Informatics, University of Applied Sciences, Wzburg-Schweinfurt, Germany; Jankatti S.K., Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India; Channegowda R.H., Department of Electronics and Communication Engineering, Dayananda Sagar Academy of Technology and Management, Bengaluru, India; Jinachandra N.S., Department of Mechanical Engineering, School of Engineering and Technology, CHRIST Deemed to be University, Bengaluru, India</text>
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            <element elementId="50">
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              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
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    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93710">
                <text>Analysis and prediction of seed quality using machine learning</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93711">
                <text>Agriculture; Classification; Convolution neural network; Prediction; Seed quality</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93712">
                <text>The mainstay of the economy has always been agriculture, and the majority of tasks are still carried out without the use of modern technology. Currently, the ability of human intelligence to forecast seed quality is used. Because it lacks a validation method, the existing seed prediction analysis is ineffective. Here, we have tried to create a prediction model that uses machine learning algorithms to forecast seed quality, leading to high crop yield and high-quality harvests. For precise seed categorization, this model was created using convolutional neural networks and trained using the seed dataset. Using data that can be used to forecast the future, this model is used to learn about whether the seeds are of premium quality, standard quality, or regular quality. While testing data are employed in the algorithms predictive analytics, training data and validation data are used for categorization reasons. Thus, by examining the training accuracy of the convolution neural network (CNN) model and the prediction accuracy of the algorithm, the projects primary goal is to develop the best method for the more accurate prediction of seed quality.  2023 Institute of Advanced Engineering and Science. All rights reserved.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93713">
                <text>Srinivasaiah R.; Meenakshi; Channegowda R.H.; Jankatti S.K.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="93714">
                <text>International Journal of Electrical and Computer Engineering, Vol-13, No. 5, pp. 5770-5781.</text>
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            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="93715">
                <text>Institute of Advanced Engineering and Science</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93716">
                <text>2023-01-01</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="93717">
                <text>&lt;a href="https://doi.org/10.11591/ijece.v13i5.pp5770-5781" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijece.v13i5.pp5770-5781&lt;/a&gt;
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              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93718">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="93719">
                <text>ISSN: 20888708</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93720">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93721">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="93722">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="93723">
                <text>Srinivasaiah R., Department of Computer Science and Engineering, CHRIST Deemed to be University, Bengaluru, India; Meenakshi, Department of Computer Science and Engineering, RNS Institute of Technology, Bengaluru, India; Channegowda R.H., Department of Electronics and Communication, Dayananda Sagar Academy of Technology and Management, Bengaluru, India; Jankatti S.K., Department of Computer Science and Engineering, Dayananda Sagar University, Bengaluru, India</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="17374" public="1" featured="0">
    <collection collectionId="5">
      <elementSetContainer>
        <elementSet elementSetId="1">
          <name>Dublin Core</name>
          <description>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/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
    </collection>
    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>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/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139779">
                <text>Forecasting stock market volatility in India - Using linear and non - Linear models</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139780">
                <text>BSE Sensex; Emerging markets; Forecasting; GARCH model; Volatility</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139781">
                <text>Volatility models and their forecasting performance attracted the interest of many economic agents, especially for financial risk management. The role of economic agents is to decide which one will be best model for forecasting volatility. This paper examines the modeling and forecasting performance of BSE Sensex daily stock market returns over the period from 1 July 1997 to 31 October 2008, by using simple Random Walk, GARCH, EGARCH and TGARCH models. The out-of-sample forecasts are evaluated by using MAE, RMSE, MAPE and Theil - U Statistics. The result suggests the standardized residual of white noise series strongly rejects the null hypothesis for GARCH model and capture the serial dependence and inherent nonlinearity series. Moreover, Random walk model dominates the forecasting performance and it is considered as the best model followed by the TGARCH model.  International Economic Society.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139782">
                <text>Srinivasan K.; Deo M.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="139783">
                <text>International Journal of Economic Perspectives, Vol-4, No. 4, pp. 617-622.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139784">
                <text>2010-01-01</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="139785">
                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959400849&amp;amp;partnerID=40&amp;amp;md5=0500421aa7e9bc6a56feaca6d0375861" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-79959400849&amp;amp;partnerID=40&amp;amp;md5=0500421aa7e9bc6a56feaca6d0375861&lt;/a&gt;</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139786">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="139787">
                <text>ISSN: 13071637</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139788">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139789">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="51">
            <name>Type</name>
            <description>The nature or genre of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139790">
                <text>Article</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="38">
            <name>Coverage</name>
            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="139791">
                <text>Srinivasan K., Department of Management Studies, Christ University, Bangalore, Karnataka - 560 029, India; Deo M., Department of Commerce (SOM), Pondicherry Central University, Kalapet, Puducherry, 605 014, India</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="874" public="1" featured="0">
    <collection collectionId="5">
      <elementSetContainer>
        <elementSet elementSetId="1">
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          <description>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/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="64">
                  <text>Articles</text>
                </elementText>
              </elementTextContainer>
            </element>
          </elementContainer>
        </elementSet>
      </elementSetContainer>
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    <itemType itemTypeId="19">
      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <description>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/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4201">
                <text>Determinants of Equity Share Prices in India: A Panel Data Approach</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4202">
                <text>Economics</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4203">
                <text>The Romanian Economic Journal, Vol-15 (46), pp. 205-228. ISSN-1454-4296</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4204">
                <text>Srinivasan P.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="4205">
                <text>The Romanian Economic Journal</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4206">
                <text>2012</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4207">
                <text>English</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
  <item itemId="17274" public="1" featured="0">
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                </elementText>
              </elementTextContainer>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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            <description>A name given to the resource</description>
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                <text>Causality between public expenditure and economic growth: The indian case</text>
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            <description>The topic of the resource</description>
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                <text>Causality; Cointegration; Economic growth; Impulse response function; Public expenditure</text>
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            <description>An account of the resource</description>
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                <text>This study investigates the causal nexus between public expenditure and economic growth in India using cointegration approach and error correction model. The analysis was carried out over the period 1973 to 2012. The Cointegration test result confirms the existence of long-run equilibrium relationship between public expenditure and economic growth in India. The empirical results based on the error-correction model estimate indicates one-way causality runs from economic growth to public expenditure in the short-run and long-run, supporting the Wagner's law of public expenditure.</text>
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                <text>Srinivasan P.</text>
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              <elementText elementTextId="138449">
                <text>International Journal of Economics and Management, Vol-7, No. 2, pp. 335-347.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891073583&amp;amp;partnerID=40&amp;amp;md5=dafa9c37e67e600604220a8f3d1a2a09" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891073583&amp;amp;partnerID=40&amp;amp;md5=dafa9c37e67e600604220a8f3d1a2a09&lt;/a&gt;</text>
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                <text>ISSN: 1823836X</text>
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                <text>Srinivasan P., Christ University Bangalore, Karnataka, India</text>
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                <text>Do futures and options trading increase spot market volatility in India? the case of S&amp;amp;P CNX Nifty</text>
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            <name>Subject</name>
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              <elementText elementTextId="139846">
                <text>Futures and options; GARCH-family models; India; Market depth; Market liquidity; Symmetric and asymmetric effects; Volatility</text>
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                <text>The exponential generalised autoregressive conditional heteroscedasticity (EGARCH) model followed by standard GARCH (1, 1) model were employed to investigate the impact of introduction of futures and options trading on the volatility of the underlying spot market in India. The empirical analysis was conducted for the daily closing price returns of S&amp;amp;P CNX Nifty spot index from 1st January, 1996 through 31st October, 2008. The empirical results reveal that the spot market volatility has been declined after the introduction of futures and options trading in India. Besides, the empirical results indicate that the impact of recent news has a greater impact on the spot market changes following the onset of futures/options trading. At the same time, the persistence of volatility shocks has been declined in the post-derivatives scenario indicating increased efficiency of the Indian spot market. Hence, the present study suggests that the introduction of futures and options trading have improved the speed and quality of information flowing in the spot market. This enhances the overall market depth, increases market liquidity and ultimately reduces informational asymmetries and therefore compresses spot market volatility in India. Copyright  2010 Inderscience Enterprises Ltd.</text>
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                <text>Srinivasan P.</text>
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                <text>International Journal of Business Performance and Supply Chain Modelling, Vol-2, No. 2, pp. 134-145.</text>
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                <text>Inderscience Publishers</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJBPSCM.2010.036166" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJBPSCM.2010.036166&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026676506&amp;amp;doi=10.1504%2FIJBPSCM.2010.036166&amp;amp;partnerID=40&amp;amp;md5=2a00ad391a100cc06a59373be8b4e180" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026676506&amp;amp;doi=10.1504%2fIJBPSCM.2010.036166&amp;amp;partnerID=40&amp;amp;md5=2a00ad391a100cc06a59373be8b4e180&lt;/a&gt;</text>
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              <elementText elementTextId="139853">
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                <text>ISSN: 17589401</text>
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                <text>Srinivasan P., Department of Economics, Christ University, Hosur Road, Bangalore, Karnataka, 560 029, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="4075">
                <text>Price Discovery and Asymmetric Volatility Spillovers in Indian Spot-Futures Gold Markets</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="4076">
                <text>Economics</text>
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          <element elementId="41">
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              <elementText elementTextId="4077">
                <text>International Journal of Economic Sciences and Applied Research, Vol-5 (3), pp. 65-80. ISSN-1791-5120</text>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="4078">
                <text>Srinivasan P. and Ibrahim P.</text>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="4079">
                <text>International Journal of Economic Sciences and Applied Research</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2012</text>
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              <elementText elementTextId="4081">
                <text>English</text>
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  <item itemId="17328" public="1" featured="0">
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              <name>Title</name>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Exchange rate volatility and export growth in India: An ARDL bounds testing approach</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139180">
                <text>ARDL-UECM; Cointegration; CUSUM; CUSUMQ; Exchange rate volatility; India; Real exports</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="139181">
                <text>This paper empirically investigates the impact of exchange rate volatility on the real exports in India using the ARDL bounds testing procedure proposed by Pesaran et al. (2001). Using annual time series data, the empirical analyses has been carried out for the period 1970 to 2011. The study results confirm that real exports are cointegrated with exchange rate volatility, real exchange rate, gross domestic product and foreign economic activity. Our findings indicate that the exchange rate volatility has significant negative impact on real exports both in the short-run and long-run, implying that higher exchange rate fluctuation tends to reduce real exports in India. Besides, the real exchange rate has negative short-run and positive long-run effects on real exports. The empirical results reveal that GDP has a positive and significant impact on India's real exports in the long-run, but the impact turns out to be insignificant in the short-run. In addition, the foreign economic activity exerts significant negative and positive impact on real exports in the short-run and long-run, respectively.  2013 Growing Science Ltd. All rights reserved.</text>
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              <elementText elementTextId="139182">
                <text>Srinivasan P.; Kalaivani M.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="139183">
                <text>Decision Science Letters, Vol-2, No. 3, pp. 191-202.</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="139184">
                <text>Growing Science</text>
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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                <text>2013-01-01</text>
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              <elementText elementTextId="139186">
                <text>&lt;a href="https://doi.org/10.5267/j.dsl.2013.04.002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.5267/j.dsl.2013.04.002&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901238626&amp;amp;doi=10.5267%2Fj.dsl.2013.04.002&amp;amp;partnerID=40&amp;amp;md5=747349a4a9cba2137bf4bc2869e5e928" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901238626&amp;amp;doi=10.5267%2fj.dsl.2013.04.002&amp;amp;partnerID=40&amp;amp;md5=747349a4a9cba2137bf4bc2869e5e928&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139187">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 19295804</text>
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            <description>A language of the resource</description>
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            <description>The nature or genre of the resource</description>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="139192">
                <text>Srinivasan P., Department of Economics, Christ University, Bangalore 560029, Karnataka, Hosur Road, India; Kalaivani M., Department of Economics, Periyar University, Salem-636 011, Tamil Nadu, India</text>
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              <elementText elementTextId="139712">
                <text>An empirical investigation of foreign direct investment and economic growth in SAARC nations</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="139713">
                <text>Economic growth; Foreign direct investment; Time series analysis</text>
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            <description>An account of the resource</description>
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                <text>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</text>
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              <elementText elementTextId="139715">
                <text>Srinivasan P.; Kalaivani M.; Ibrahim P.</text>
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                <text>Journal of Asia Business Studies, Vol-5, No. 2, pp. 232-248.</text>
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            <name>Date</name>
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              <elementText elementTextId="139717">
                <text>2011-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1108/15587891111152366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1108/15587891111152366&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992969914&amp;amp;doi=10.1108%2F15587891111152366&amp;amp;partnerID=40&amp;amp;md5=5daf37c6b85dc5ff75ee1421ef6d9e32" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992969914&amp;amp;doi=10.1108%2f15587891111152366&amp;amp;partnerID=40&amp;amp;md5=5daf37c6b85dc5ff75ee1421ef6d9e32&lt;/a&gt;</text>
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                <text>ISSN: 15587894</text>
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                <text>Online</text>
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              <elementText elementTextId="139722">
                <text>English</text>
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                <text>Srinivasan P., Christ University, Bangalore, Karnataka, India; Kalaivani M., Periyar University, Tamil Nadu, India; Ibrahim P., Department of Economics at Pondicherry University, Puducherry, India</text>
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