Cloud-based Smart Voting: Opportunity of Gender Inclusiveness in India
| Published date | 01 December 2023 |
| DOI | http://doi.org/10.1177/00195561231166864 |
| Author | Rajesh Tiwari,Himanshu Kargeti |
| Date | 01 December 2023 |
| Subject Matter | Notes |
Cloud-based Smart
Voting: Opportunity
of Gender Inclusiveness
in India
Rajesh Tiwari1 and Himanshu Kargeti2
Introduction
In India, voter turnouts differ across States. Diwakar (2008) found support for
rational voter argument in India as it was found that high levels of literacy and
close competition increases the voter turnouts. Kerala the State with highest lit-
eracy rate in India had the highest voter turnout in 2019 parliamentary elections
with 77.86% turnout (Nair, 2019). The Delhi Assembly elections also conrm the
low turnout in urban areas, as New Delhi districts recorded relatively lower
turnout of 44.29% (Hindustan Times, 2019). Chandra and Potter (2016) also
found that voter turnout in urban areas is low, but they raised the possibility of
neighbourhood effect that leads to a change in the voter turnout of rural voters
when there is urban settlement in a constituency. Niemi and Hanmer (2010) exam-
ined voter turnouts of college students in the USA and found that factors that
inuence older generations also inuence young generations and voter turnout is
also inuenced by mobilisation of voters by political parties. Banerjee et al.
(2011) in an experimental study in slum areas of Delhi found that more informed
voters have higher voter turnouts. Nikolenyi (2010) has found that the willingness
to vote is negatively impacted by separate elections for national and state politics
in India. Lehoucq and Wall (2004) have argued that economic development has
little impact on voter turnouts. Hansford and Gomez (2010) argued that it is dif-
cult to predict results in case of high voter turnouts. Low voter turnout makes the
election process vulnerable to manipulation and it is reected in victory of indi-
viduals with criminal records. Poor focus on governance and employment oppor-
tunities leads to unemployment (Chand et al., 2017). The diffusion of technology
and mobile penetration across India has provided an enabling environment with
technology-supportive policies of government (Rana & Tiwari, 2014). This article
evaluates the voter turnout in India and explores its association with inclusive
social development measured by female literacy rate.
Note
Indian Journal of Public
Administration
69(4) 948–953, 2023
© 2023 IIPA
Article reuse guidelines:
in.sagepub.com/journals-permissions-india
DOI: 10.1177/00195561231166864
journals.sagepub.com/home/ipa
1 Department of Management Studies, Graphic Era (Deemed to be University), Dehradun,
Uttarakhand, India.
2 School of Management Studies, Graphic Era Hill University, Dehradun, Uttarakhand, India.
Corresponding author:
Rajesh Tiwari, Department of Management Studies, Graphic Era (Deemed to be University),
Dehradun, Uttarakhand 248002, India.
E-mails: ambitioncfarajesh@gmail.com; rajeshtiwari.mgt@geu.ac.in
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