<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>IR @ GOA UNIVERSITY</title>
<link href="https://irgu.unigoa.ac.in:443/drs" rel="alternate"/>
<subtitle>The IR digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
<id xmlns="http://apache.org/cocoon/i18n/2.1">https://irgu.unigoa.ac.in:443/drs</id>
<updated>2026-09-10T16:49:31Z</updated>
<dc:date>2026-09-10T16:49:31Z</dc:date>
<entry>
<title>Releavance of Electoral Literacy in Formal Education across the World (Chapter 11)</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/8010" rel="alternate"/>
<author>
<name>Gaunkar, R.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/8010</id>
<updated>2026-09-10T07:25:42Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Releavance of Electoral Literacy in Formal Education across the World (Chapter 11)
Gaunkar, R.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Investor demand through oversubscription: A quantile regression and machine learning evidence from emerging market</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/8009" rel="alternate"/>
<author>
<name>Mandreker, S.</name>
</author>
<author>
<name>AnjanaRaju, G.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/8009</id>
<updated>2026-09-08T05:47:38Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Investor demand through oversubscription: A quantile regression and machine learning evidence from emerging market
Mandreker, S.; AnjanaRaju, G.
This study investigates the oversubscription in public issues of Small and Medium Enterprises in India, across different quantiles. This study further explores the non-linearity in factors through machine learning. Utilising data from 1014 IPOs during the period 2012 to 2024 listed on SME exchanges of NSE and BSE, this study applies OLS regression, quantile regression and a Random Forest model. SHapley Additive exPlanations values are computed to validate and extend econometric findings. Underpricing, listing delay and hot markets are the prominent factors affecting oversubscription. The Random Forest model outperforms OLS, revealing non-linear effects of predictors. This study offers crucial insights enabling policymakers and regulators to refine disclosure regulations and strengthening investor protection measures, while firms can efficiently structure their offerings and attract significant investor interest.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Male-male intergeneric amplexus between Cepf Cricket Frogs (Minervarya cepfi) and Dobson's Burrowing Frogs (Sphaerotheca dobsoni)</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/8008" rel="alternate"/>
<author>
<name>Bowalkar, D.Y.</name>
</author>
<author>
<name>Sawant, N.S.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/8008</id>
<updated>2026-09-08T05:52:37Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Male-male intergeneric amplexus between Cepf Cricket Frogs (Minervarya cepfi) and Dobson's Burrowing Frogs (Sphaerotheca dobsoni)
Bowalkar, D.Y.; Sawant, N.S.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Sustainable ecotourism practices: Influence on destination choice among tourists visiting India</title>
<link href="http://irgu.unigoa.ac.in/drs/handle/unigoa/8007" rel="alternate"/>
<author>
<name>Lingadkar, P.R.</name>
</author>
<author>
<name>Sankaranarayanan, K.G.</name>
</author>
<id>http://irgu.unigoa.ac.in/drs/handle/unigoa/8007</id>
<updated>2026-09-08T05:53:26Z</updated>
<published>2026-01-01T00:00:00Z</published>
<summary type="text">Sustainable ecotourism practices: Influence on destination choice among tourists visiting India
Lingadkar, P.R.; Sankaranarayanan, K.G.
The research explores the influence of sustainable ecotourism practices, for instance: environmental conservation, community participation, cultural heritage preservation, and sustainability orientation, on tourists' destination choice when visiting ecotourism destinations in India. Data collected through a standardized questionnaire were analysed using descriptive and inferential statistical methods. Results show that environmental conservation has a substantial positive influence on visitor's location choice, succeeded by cultural heritage preservation and sustainability orientation. Community engagement failed to influence tourists' destination selection. These results highlight the need for tourism industry stakeholders to prioritize environmental and cultural heritage preservation, as well as sustainability, to attract more ecotourists.
</summary>
<dc:date>2026-01-01T00:00:00Z</dc:date>
</entry>
</feed>
