Faculty Publications

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    Social media integrated mobile government adoption model: investigating adoption behaviour in Karnataka's smart cities
    (Inderscience Publishers, 2024) Hebbar, S.; Kiran, K.B.
    Digital transformation like m-government and social media (SM) plays an ornamental role in boosting government services and supports smart city mission. However, the public's dissatisfaction with government's use of SM and lower adoption of m-government, necessitates more research into citizens' perspective on these. Hence, the study integrates diffusion of innovation and uncertainty reduction theories with SM-influence and few external variables to analyse people's usage-intention in Karnataka's smart cities. The questionnaire survey yielded 1,444 citizen responses, which were statistically tested using PLS-SEM. The factors relative advantage, compatibility, facilitating condition, and trust were proved significant. Also, the importance of being aware of specific aspects like relative advantage and compatibility (mediators) proved vital. Information quality and transparency were found critical in enhancing trust and thereby impacting usage-intention. Finally, SM is proven significant in strengthening trust, transparency, social influence, image and awareness. The discussions and research implications are expanded upon in this paper. © 2024 Inderscience Enterprises Ltd.
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    Assessing the predictors of intention to use unified payment interface: the role of age and gender as moderators
    (Inderscience Publishers, 2025) Saha, P.; Kiran, K.B.
    Discovering significant predictors of behavioural intention towards unified payment interface (UPI) usage is crucial because UPI is an exemplary digital innovation and UPI enabled payments are preferred by both payer and payee. The present study extended UTAUT3 with an additional construct called word of mouth content (WOMC) and verified its influence on the intention of UPI users. The study also examines whether age and gender moderate the association between WOMC and intention. Data were collected using consumer intercept survey and analysed with structural equation modelling. The moderating effects were examined using multi-group analysis. The results state that performance expectancy, social influence, habit, personal innovativeness and WOMC are significant predictors of the intention of UPI users and the relationship between WOMC and intention differs across gender but not across age. This study is the first of its kind to carry out empirical research on the adoption of UPI in an emerging economy like India. © © 2025 Inderscience Enterprises Ltd.