An Empirical Analysis of the Government Cloud Adoption in India

Kshitij Kushagra, Sanjay Dhingra
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引用次数: 0

Abstract

Cloud in the Indian government is still in the nascent stage; the rate of government cloud adoption (GCA) has not been that encouraging. The government organizations are complex, slow, rigidly structured, and research deficient. These organizations are the highest spenders on IT but are not placed at par when it comes to terms of cloud adoption. This empirical study has three objectives, which are identifying the key factors affecting GCA, finding out if these factors significantly affect the adoption, and examining the categorical moderating effect of organization types and adoption stages on GCA. This study posits government organization type (center, state, local bodies, and public sector organizations) and adoption stages (adopted, currently evaluating, and plans to adopt) as moderating variables. PLS-SEM has been deployed in this work for analysis and validation of the model. Nine factors found to have a significant positive influence on GCA are security, connectivity, migration, procurement, awareness, organizational administration, legal, trust, and control.
印度政府云应用的实证分析
云在印度政府中仍处于萌芽阶段;政府云采用率(GCA)并没有那么令人鼓舞。政府机构复杂、缓慢、结构僵化、研究不足。这些组织在IT方面的支出最高,但在云采用方面却没有达到同等水平。本实证研究的目标有三个,即识别影响GCA的关键因素,发现这些因素是否显著影响采用,以及检验组织类型和采用阶段对GCA的分类调节作用。本研究将政府组织类型(中央、州、地方机构和公共部门组织)和采用阶段(采用、目前评估和计划采用)作为调节变量。PLS-SEM已在本工作中部署,用于分析和验证模型。对GCA有显著正向影响的九个因素是:安全、连通性、迁移、采购、意识、组织管理、法律、信任和控制。
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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