An investigation of the challenges and issues influencing the adoption of cloud computing in Australian regional municipal governments

Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach

Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at the organizational level, is insufficient. Consequently, the present research aims to assess the factors that impact the integration of cloud computing within small and medium-sized enterprises (SMEs) and its subsequent effects on environmental, financial, and social performance. The data were collected from 415 SMEs and were analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate that relative advantage, complexity, compatibility, top management support, cost reduction, and government support significantly affect cloud computing integration. This study also empirically demonstrated that SMEs could improve their financial, environmental, and social performance by integrating cloud computing services. ANN results show that complexity, with a normalized importance (NI) of 89.14%, is ranked the first among other factors affecting cloud computing integration in SMEs. This is followed by cost reduction (NI = 82.67%), government support (NI = 73.37%), compatibility (NI = 70.02%), top management support (NI = 52.43%), and relative advantage (NI = 48.72%). Theoretically, this study goes beyond examining the determinants affecting cloud computing integration by examining their impact on SMEs' environmental, financial, and social performance in a comprehensive manner. The study also provides several practical implications for policymakers, SME managers, and cloud computing service providers.

Adoption of Cloud Computing: A Study with Public and Private Hospitals in a Developing Country

This research aims to analyze the factors influencing the adoption of cloud computing (CC) in public and private hospitals in a developing country setting, specifically in Brazil’s hospital industry. We interviewed IT professionals from four hospitals. The study demonstrates that concerns with security and availability matter more to the hospitals than the expected benefits of CC, such as flexibility and cost reduction. In addition, the findings show that there are relevant differences between public and private organizations, such as regulatory issues and cost, which influence the adoption of cloud computing in each context. Cloud-based resources continue to worry companies that deal with sensitive data as healthcare institutions. Knowledge acquired from this study is particularly beneficial to IT executives to guide their decision to create or adjust CC initiatives in healthcare.

An Empirical Study of Cloud-Based E-Governance Services Adoption in India

This article studies the factors affecting the adoption of the DigiLocker cloud-based E-governance service in India. This study integrates the e-GAM and UTAUT model to develop a hypothesized framework to investigate the DigiLocker E-governance service adoption in India from a citizen's perspective. The survey was conducted among citizens in Pune city and its suburbs using a structured questionnaire. The confirmatory factor analysis was done using the PLS-SEM technique. The results of this cross-sectional research explain that performance expectancy, effort expectancy, facilitating conditions, social influence, perceived awareness, computer self-efficacy, multilingual option, perceived quality of information, perceived response and perceived trust influence the behavioral intention and actual usage of DigiLocker cloud-based E-governance service. The outcome of this article is valuable to policymakers for providing better E-governance services. This research presents vital insights and highlights the factors that influence the cloud-based E-governance service adoption in developing countries like India.