Sumedha Chauhan

dblp:137/0947 · DBLP profile ↗
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3ranked-venue papers in the field
1as first author
3since 2021 · last 2023
0000-0002-1125-8395ORCID · corroborated

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 3 (1 first)
YearPublicationVenuePosition
2023 Examining Consumers' Behavioral Intentions Towards Online Home Services Applications
abstract
On-demand home service application (HSA) is a technological advancement that has brought various day-to-day services to our doorstep with just a few clicks. By using consumer-perceived values (utilitarian, hedonic, and social), trust transfer theory, and commitment-trust theory, the present study aims to investigate the factors influencing sharing intention and repurchase intention of consumers towards using HSAs on their mobile phones. This study involves collecting data from 357 respondents in India and analyzing the same using the SmartPLS 3 software. The results indicate that trust in HSA is influenced by utilitarian value and social value, but not by hedonic value. Trust in HSA results in repurchase intention, commitment, and sharing intention. Interestingly, trust in the user community affects sharing intention but not repurchase intention and commitment. The study integrates the consumer-perceived value, trust transfer theory, and commitment-trust theory to build an integrative framework that explains the consumers' sharing and repurchase intentions towards HSAs.
Sumedha Chauhan, Yuvraj Gajpal, Bindu Bhardwaj, Poonam Kumar, Sandeep Goyal, Xiankai Yang, Amit Kumar Bhardwaj
J. Glob. Inf. Manag.1
2022 Extending the story of IS success: a meta-analytic investigation of contingency factors at individual and organisational levels
abstract
In the last decade, a diverse array of information systems (IS) has emerged to help organisations achieve their performance goals. As a result, global spending on information technology (IT) has increased manifold. These developments have reopened the fundamental question of how IS success is shaped at the organisational level. Scholars and practitioners would also like to understand if, compared to the individual level, IS success patterns differ at the organisational level. The last meta-analysis of IS success was conducted nearly a decade ago and it could not examine IS success at the organisational level. There is also a need to gain a deeper understanding of key contingencies influencing success at the organisational level. Based on a comprehensive meta-analysis of research studies conducted in the last decade, we not only report how IS success patterns are shaped at the organisational level but also show how these patterns compare to success configurations at the individual level. Additionally, we conduct detailed multi-level meta-analyses of system complexity and user type as two key contingencies influencing success at both individual as well as organisational levels. Findings of our moderation analyses reveal distinct constructions of IS success across both levels.
Nikhil Mehta 0001, Sumedha Chauhan, Inderjeet Kaur
Eur. J. Inf. Syst.2
2021 Social Commerce: A Bibliometric Analysis and Future Research Directions
abstract
The present study performs the bibliometric analysis of the social commerce (s-commerce) literature, highlights the major research themes, and suggests future research directions. The HistCite software has been used for bibliometric analysis on a sample of 660 s-commerce papers obtained from the ISI Web of Science database. This study analyses these papers to present the details about the influential journals, authors, and universities regarding s-commerce research. Following research themes have been identified based on the content analysis as well as citation mapping of the top-cited 53 s-commerce papers: 1) S-commerce – Purchase Intention, 2) S-commerce – Sharing Intention, 3) Social Media – Marketing and Consumer Engagement, 4) S-commerce – User Preferences and Concerns. Subsequently, a multi-dimensional conceptual model has been developed to highlight the coupling and flow between s-commerce growth drivers, practice indicators, and performance metrics. Finally, future research directions have been recommended.
Sandeep Goyal, Cuihua Hu, Sumedha Chauhan, Amit Kumar Bhardwaj, Ankit Mahindroo
J. Glob. Inf. Manag.3