Faculty Publications
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Item Do Social Media and e-WOM Influence M-Government Services? A Citizen Perspective From India(IGI Global, 2022) Hebbar, S.; Kiran, K.B.In Web 4.0 technologies, social media (SM) has emerged as a prominent tool for the government to interact and engage with citizens. It is also an effective channel for providing government services. However, for effective implementation and its success, it is critical to understand the citizens' perceptions towards the government's use of SM and its impact on mobile government (MG) adoption. Consequently, the study focuses on assessing the impact of SM influence and electronic word of mouth (e-WOM) on MG service parameters such as MG awareness, MG transparency, and MG trust. The results of structural equation modelling revealed the significance of e-WOM on improving MG awareness and trust and SM influence. Further, SM influence had a direct impact only on MG transparency. However, results revealed the importance of SM influence and MG transparency as a mediator for MG trust. Gender and age as moderators are investigated and discussed in detail. © © 2022, IGI Global.Item An Exploration of Trust as an Antecedent of Unified Payment Interface Usage: A SEM-Neural Network Approach(IGI Global, 2022) Saha, P.; Kiran, K.B.The introduction of UPI has revolutionized the Indian banking system, and since then, dynamics of the payment ecosystem has noted a major transformation. UPI has proved to be a boon in the pandemic situation by facilitating contactless and remote transactions. Thus, it is crucial to study user acceptance of payments using UPI and factors influencing its usage. The present paper extended UTAUT3 (Unified Theory of Acceptance and Use of Technology) with an additional construct called 'trust'. Studies on behavioral intention are not rare. But behavioral intention towards UPI usage is not yet explored. What makes this study unique is its attempt to use both SEM and neural network to analyze data. It will guide future researchers to pursue technology adoption studies using this multi-method technique. The novelty also resides in the fact that trust, the newly added construct, has proved to be the most important antecedent of behavioral intention towards UPI usage. © © 2022, IGI Global.Item Contextualizing mGov in the digital age: a moderated model of mGov adoption using eGov experience and social media attitude(Springer Science and Business Media B.V., 2025) Hebbar, S.; Kiran, K.B.; Pai, R.R.Social media has become an essential component of m-government services. However, in order for these services to be implemented and adopted successfully, the government must first understand citizens’ perceptions toward the use of social media (SM Attitude). As a result, the study attempted to investigate the influence of predictors of m-government adoption, as well as the moderating role of SM attitude toward government use of this platform and prior electronic government experience on the adoption of m-government services. For this purpose, primary data is gathered using a questionnaire, with a total of 1101 responses collected and then analyzed using the Covariance Based Structural Equation Modelling technique. The findings demonstrated the importance of predictors such as relative advantage, compatibility, image, social influence, and trust in predicting behavioral intention to use m-government services. Furthermore, the moderation analysis revealed the presence of differences in perception among individuals with stronger and weaker social media attitudes on the variables social influence and image, and its relationship with m-government adoption. © The Author(s) 2025.