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<title>Research Article</title>
<link href="http://dspace.iimk.ac.in:80/xmlui/handle/2259/1211" rel="alternate"/>
<subtitle/>
<id>http://dspace.iimk.ac.in:80/xmlui/handle/2259/1211</id>
<updated>2026-10-11T10:48:32Z</updated>
<dc:date>2026-10-11T10:48:32Z</dc:date>
<entry>
<title>The Dimensions and Roles of Online Content in Social Commerce: A Systematic Literature Review and Future Research Agenda</title>
<link href="http://dspace.iimk.ac.in:80/xmlui/handle/2259/1220" rel="alternate"/>
<author>
<name>Vidushi Pandey</name>
</author>
<author>
<name>Diksha Singh</name>
</author>
<id>http://dspace.iimk.ac.in:80/xmlui/handle/2259/1220</id>
<updated>2026-09-25T05:27:20Z</updated>
<published>2023-01-01T00:00:00Z</published>
<summary type="text">The Dimensions and Roles of Online Content in Social Commerce: A Systematic Literature Review and Future Research Agenda
Vidushi Pandey; Diksha Singh
Due to the increasing ubiquity and acceptance of online shopping, social commerceresearch has attracted the attention of many scholars, leading to an exponentialgrowth of the literature within a short span of a few years. Among the numerousinvestigations in the field, research relating to online content is warranted owing tothe rapid evolution of content and its importance in the shopping arena. This studysystematically reviews the literature on various dimensions of content and how thesedimensions influence customer-level outcomes in social commerce. The study adoptsa framework-based approach and organizes 169 content-focused research articles.The framework proposes three content dimensions—format, source, and platform,and four outcome categories based on transactionality and favorability of outcomes.The findings reveal an evolution of content dimensions and consumer behavior out-comes. Additionally, identified gaps and future research directions have beendiscussed.
International Journal of Consumer Studies &#13;
Vidushi Pandey(Faculty of Information Systems, IndianInstitute of Management, Kozhikode,Kerala, India), Diksha Singh (Department of Information Systems, IndianInstitute of Management, Kozhikode,Kerala, India) &#13;
DOI: 10.1111/ijcs.13004
</summary>
<dc:date>2023-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Optimal online channel configuration for a Manufacturer under price and lead time-sensitive demand</title>
<link href="http://dspace.iimk.ac.in:80/xmlui/handle/2259/1219" rel="alternate"/>
<author>
<name>Sreejith Alathur</name>
</author>
<author>
<name>T. M. Rofin</name>
</author>
<id>http://dspace.iimk.ac.in:80/xmlui/handle/2259/1219</id>
<updated>2026-09-23T05:59:50Z</updated>
<published>2024-01-01T00:00:00Z</published>
<summary type="text">Optimal online channel configuration for a Manufacturer under price and lead time-sensitive demand
Sreejith Alathur; T. M. Rofin
The purpose of this paper is to model and compare the performance of online dual-channel supply chain configurations&#13;
comprising of a Manufacturer and an E-tailer and to identify the optimal configuration under the assumption that demand&#13;
is both price and lead time sensitive. The study considers two distinct online dual-channel formats, viz. (i) E-tailer–direct&#13;
online channel (DOC) of the Manufacturer and (ii) E-tailer and an Agency Channel (e-marketplace) of the Manufacturer. The&#13;
competition between the channels has been modelled with the help of game theory and optimal decisions of the channel members were derived from equilibrium analysis. Further, a numerical analysis was carried out to quantify the optimal decisions&#13;
and to derive the managerial insights. The study finds that E-tailer–DOC configuration is beneficial for the Manufacturers&#13;
compared to E-tailer–Agency Channel configuration in the case of products for which customers’ price sensitivity is higher&#13;
than the lead time sensitivity. However, the Manufacturer is gainful by choosing E-tailer–Agency Channel configuration&#13;
over E-tailer–DOC configuration in the case of products having higher lead time sensitivity.
Journal of Revenue and Pricing Management - Volume 23, pages 121–139 &#13;
Sreejith Alathur (Indian Institute of Management Kozhikode, Calicut,&#13;
Kerala), and T. M. Rofin (National Institute of Industrial Engineering (NITIE),&#13;
Mumbai, Maharashtra)&#13;
DOI: 10.1057/s41272-023-00440-y
</summary>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Assessing the moderating effects of involvement on tourist attitudes and intentions through virtual reality applications</title>
<link href="http://dspace.iimk.ac.in:80/xmlui/handle/2259/1218" rel="alternate"/>
<author>
<name>Sreejith Alathur</name>
</author>
<author>
<name>Sheena Suresh</name>
</author>
<author>
<name>Abhishek Talawar</name>
</author>
<id>http://dspace.iimk.ac.in:80/xmlui/handle/2259/1218</id>
<updated>2026-09-23T05:05:37Z</updated>
<published>2024-03-28T00:00:00Z</published>
<summary type="text">Assessing the moderating effects of involvement on tourist attitudes and intentions through virtual reality applications
Sreejith Alathur; Sheena Suresh; Abhishek Talawar
Purpose –This paper aims to evaluate the impact of various preview modes on tourist attitudes and intentions&#13;
to visit a destination based on consumers’ level of involvement in travel decision-making.&#13;
Design/methodology/approach – The study was conducted as a between-subjects one-factor [preview&#13;
mode: static images vs 360-degree tour vs virtual reality (VR) mode] in a laboratory experiment setup to&#13;
examine how consumers with different levels of involvement in travel decision-making respond to destination&#13;
marketing toward three different preview modes.&#13;
Findings – The findings indicated that VR preview mode highly influences tourist attitudes and visit&#13;
intentions toward a destination compared to static images and 360-degree tours. This effect is more significant&#13;
among participants with higher levels of customer involvement. Finally, the results from the study offer&#13;
empirical evidence of the effectiveness of VR in shaping user behavior compared to traditional preview modes.&#13;
Research limitations/implications – The limitations are using a non-probability sampling method, a small&#13;
sample size and affordable mobile-compatible VR headsets.&#13;
Practical implications – This study offers empirical evidence on the effectiveness of VR in shaping tourist&#13;
behavior compared to traditional preview modes. It helps destination marketers develop appropriate strategies&#13;
for promoting tourist destinations.&#13;
Originality/value – The novelty of this paper lies in understanding the effectiveness of VR in shaping tourist&#13;
behavior with different levels of customer involvement in travel decision-making.
Journal of Hospitality and Tourism Insights - pp. 1050-1069&#13;
Abhishek Talawar and Sheena Suresh (School of Humanities, Social Sciences and Management,&#13;
National Institute of Technology Karnataka, Mangalore, India), Sreejith Alathur &#13;
(Information Systems, Indian Institute of Management Kozhikode, Kozhikode, India)&#13;
DOI:  10.1108/JHTI-10-2023-0676
</summary>
<dc:date>2024-03-28T00:00:00Z</dc:date>
</entry>
<entry>
<title>ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries</title>
<link href="http://dspace.iimk.ac.in:80/xmlui/handle/2259/1217" rel="alternate"/>
<author>
<name>Satish Krishnan</name>
</author>
<author>
<name>Christina Sanchita Shah</name>
</author>
<id>http://dspace.iimk.ac.in:80/xmlui/handle/2259/1217</id>
<updated>2026-09-22T04:56:05Z</updated>
<published>2024-01-01T00:00:00Z</published>
<summary type="text">ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries
Satish Krishnan; Christina Sanchita Shah
ICT has been long recognized as a driver of sustainable development goals (SDGs). This study examines the relationship between ICT, gender (in)equality (SDG 5), and income inequality (SDG 10). We conceptualize ICT as an institutional actor and use the Capabilities Approach to theorize the relationships between ICT, gender inequality and income inequality. This study uses publicly available archival data to conduct a cross-lagged panel analysis of 86 countries from 2013 to 2016. The key contributions of the study include the establishment of the relationship between (a) ICT and gender inequality and (b) gender inequality and income inequality. We also make methodological contributions to the field by employing cross-lagged panel data analysis to further our understanding of the links between ICT, gender equality, and income inequality over time. Our findings have implications for both research and practice, which are discussed.
Information Systems Frontiers- pages 709-727&#13;
Satish Krishnan&#13;
(Indian Institute of Management Kozhikode), Christina Sanchita Shah&#13;
(Indian Institute of Management Kozhikode)&#13;
DOI: 10.1007/s10796-023-10396-4
</summary>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</entry>
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