Modeling Precursors to Drive GSTN Adoption Intention in Rural India

Pub Date : 2022-09-01 DOI:10.15544/mts.2022.38
Supriya Srivastava, Himanshu Rastogi, Anupama Srivastava, Alpana Srivastava
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Abstract

Abstract Envisioning a common tax system in India in 2017, GSTN is a relatively new concept, and businesses in rural areas of the country need to study the adoption of GSTN using the Technology Acceptance Model and UTAUT variables. Rural areas near Lucknow, Uttar Pradesh, were studied exploratorily and conclusively. The findings suggest keeping GSTN’s interface and structure simple so users can use it easily. The website is user-friendly and designed for taxpayers, but most respondents use professional help. GSTN is cumbersome, say users. GSTN must protect tax payer privacy. It should protect its users’ privacy and train rural Indians to use GSTN.This research paper takes into consideration PS (Perceived Simplicity in usage), PU (Perceived Utility) and RO (Risk Observed) as first variables needed to be achieved in order to drive the intent to adopt GSTN. This research paper was based on the premise that there is a relationship between the Model of Technology Adoption and Model of Use of Technology variables.
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模拟前体驱动印度农村GSTN采用意愿
摘要展望2017年印度的共同税收制度,GSTN是一个相对较新的概念,该国农村地区的企业需要使用技术接受模型和UTAUT变量研究GSTN的采用情况。对北方邦勒克瑙附近的农村地区进行了探索性和决定性的研究。研究结果表明,保持GSTN的界面和结构简单,以便用户可以轻松使用。该网站用户友好,专为纳税人设计,但大多数受访者使用专业帮助。用户表示,GSTN很麻烦。GSTN必须保护纳税人的隐私。它应该保护用户的隐私,并培训农村印度人使用GSTN。本文将PS(感知使用的简单性)、PU(感知效用)和RO(观察到的风险)作为第一个需要实现的变量,以推动采用GSTN的意图。本研究的前提是技术采用模型和技术使用模型变量之间存在关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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