Leveraging Web Experience: How Self-Perceived Knowledge Calibrates the Impact of Website-Driven Participation and Voter Satisfaction on Indian Voting Intentions

IF 1.7 Q2 PUBLIC ADMINISTRATION
Deepika, Sumanjeet Singh, Saumya Jain, Minakshi Paliwal
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Abstract

As digital platforms reshape political communication, political parties increasingly rely on websites to campaign and influence voter behaviour. These websites have become crucial channels through which voters access information, evaluate parties, and form electoral preferences, yet how website quality translates into voting intention remains underexplored. Drawing upon the O-S-O-R theory, the study examined how the political parties' website dimensions related to quality influence voting intention among digitally active Indian voters, through political engagement, participation, and voter satisfaction, with self-perceived political knowledge as a moderator. Data was collected from 1076 respondents who had previously visited the website of any political party at least once. The study used structural equation modelling in IBM AMOS while testing the moderation effect in IBM SPSS. The results reveal that website quality dimensions significantly influence voter satisfaction and political participation, but have no direct effect on political engagement. Both voter satisfaction and political participation positively influenced voting intention, confirming their mediating roles in the website quality–voting intention relationship. Political engagement, however, is significantly but negatively associated with both voter satisfaction and political participation, suggesting that more engaged voters critically evaluate party communications rather than responding affirmatively. Perceived political knowledge strengthened only the relationship between voter satisfaction and voting intention—meaning that among more knowledgeable voters, satisfaction with a party's website more strongly translated into an intention to vote. No such moderating effect was found for political participation. These findings deepen our understanding of how website quality indirectly shapes voting intention and provide actionable insights for political parties aiming to design digital platforms that better serve and engage citizens.

利用网络经验:自我感知知识如何校准网站驱动的参与和选民满意度对印度投票意图的影响
随着数字平台重塑政治沟通,政党越来越依赖网站进行竞选活动并影响选民的行为。这些网站已成为选民获取信息、评估政党和形成选举偏好的重要渠道,但网站质量如何转化为投票意向仍未得到充分探讨。根据O-S-O-R理论,该研究以自我感知的政治知识为调节因素,考察了政党网站的质量维度如何通过政治参与、参与和选民满意度,影响数字活跃的印度选民的投票意愿。数据收集自1076名受访者,他们之前至少访问过一次任何政党的网站。本研究在IBM AMOS中采用结构方程模型,在IBM SPSS中检验调节效应。结果表明,网站质量维度显著影响选民满意度和政治参与,但对政治参与没有直接影响。选民满意度和政治参与均正向影响投票意愿,证实了它们在网站质量-投票意愿关系中的中介作用。然而,政治参与与选民满意度和政治参与都呈显著负相关,这表明更多的参与选民会批判性地评估政党沟通,而不是肯定地做出回应。感知到的政治知识只加强了选民满意度和投票意愿之间的关系——这意味着在知识更丰富的选民中,对政党网站的满意度更强烈地转化为投票意愿。对政治参与没有这种调节作用。这些发现加深了我们对网站质量如何间接影响投票意向的理解,并为旨在设计更好地服务和吸引公民的数字平台的政党提供了可操作的见解。
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来源期刊
Journal of Public Affairs
Journal of Public Affairs PUBLIC ADMINISTRATION-
CiteScore
7.10
自引率
3.80%
发文量
41
期刊介绍: The Journal of Public Affairs provides an international forum for refereed papers, case studies and reviews on the latest developments, practice and thinking in government relations, public affairs, and political marketing. The Journal is guided by the twin objectives of publishing submissions of the utmost relevance to the day-to-day practice of communication specialists, and promoting the highest standards of intellectual rigour.
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