S
Shashi Kant Srivastava
Researcher at Indian Institute of Management Ahmedabad
Publications - 19
Citations - 91
Shashi Kant Srivastava is an academic researcher from Indian Institute of Management Ahmedabad. The author has contributed to research in topics: Granger causality & Smart grid. The author has an hindex of 4, co-authored 19 publications receiving 49 citations. Previous affiliations of Shashi Kant Srivastava include Indian Institute of Management Indore & Global University (GU).
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Social Participation among the Elderly: Moderated Mediation Model of Information and Communication Technology (ICT)
TL;DR: It is found that the size of the social network constituted the critical factor in the association between ICT use and social participation, and social isolation mediates the relationship between the ICTUse and socialparticipation.
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An IAD type framework for Blockchain enabled smart tourism ecosystem
TL;DR: This study uses Ostrom's action arena to examine the exchanges (information, contractual and monetary) between various stakeholders in a BCT enabled smart tourism of a Blockchain enabled tourism industry to answer two practical questions.
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The Impact of E-government and E-business on Economic Performance: A Comparative Study of Developing and Developed Countries
TL;DR: In this paper, the authors explore the relationship between e-government as well as e-business and economic performance of developing and developed nations, separately, and find that the relationships between eGovernment and e-Business vary based on the development status of a country given the differences in the technological, organisational and environmental factors between developed and developing nations.
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Determinants of Cybercrime Originating within a Nation: A Cross-country Study
TL;DR: On analyzing the data from 124 countries, it emerges that the economic capital and technological capital of a country are the primary factors that influence the frequency of cybercrime originating within it.
Journal Article
Integrating Wearable Devices and Recommendation System: Towards a Next Generation Healthcare Service Delivery
TL;DR: This study reviews health-monitoring services by conglomerating both wearable device and recommendation system to come up with personalized health and fitness solutions and elucidates key components of an advanced-level real-time monitoring service framework to guide future research and practice in this domain.