Cloud Computing Adoption for Healthcare: An Empirical Study Using SEM Approach

Abstract

Cloud computing has been adopted by many healthcare firms throughout the world especially in developed countries to enhance their service levels. The main objective of this study was to find the constructs from the prior literature review which influence the adoption of cloud computing from the prospering nation’s perspective. The main pillars of the theoretical framework are technology, organizational, environmental and ethical factors. The responses were collected from the employees or staff who were working in this sector with the help of a structured questionnaire. The analysis was performed utilizing SPSS 20.0 and AMOS 22.0. The hypothesis developed was tested utilizing a structural equation modelling approach. The findings indicated that the assumed variables each under technology, organization, environment and ethics have an impact on the dependent variable that is cloud computing adoption in the healthcare segment, thereby increasing the efficiency. The study is unique when compared to past studies as it considered ethical factors, thereby extending the cloud computing literature. It also provides a base for future studies and cloud technology development for a prospering nation perspective.

Critical factors affecting the decision to adopt cloud computing in Saudi health care organizations

“…They also should consider these critical factors in the decision to adopt CC projects in their organizations. Surprisingly, human factors (CIO innovativeness and technical competence) were not considered critical in this adoption decision, since they are based more on business than technical considerations (Alaskar et al, 2020; Alharbi et al, 2016; Baral & Verma, 2021). The CC becomes a complex decision especially when there is a little knowledge on this upcoming technology in terms of compatibility, complexity and costs.…”

“…This framework has been used in different sectors, for example, web services (Lippert & Govindarajulu, 2006), information communication and technology (ICT) (Bayo‐Moriones & Lera‐López, 2007; Hsu et al, 2014), electronic data interchange (EDI) (Kuan & Chau, 2001), high‐tech industry (Low et al, 2011); enterprise resource planning (ERP) (Pan & Jang, 2008), supply chain management (SCM) (Lin, 2014), and health care sector (Almubarak, 2017; Baral & Verma, 2021; Bhuyan & Dash, 2018; Harfoushi et al, 2016; Lian et al, 2014). For example, Lian et al (2014) proposed a research model based on the TOE framework to explore the critical factors affecting the decision to adopt CC in Taiwan hospitals.…”

“…In general, the adoption of new technologies or service solutions is seen as a permanent subject of debate because these solutions enable an organization to improve its competitiveness. However, few studies have discussed conceptually and empirically the determinants of cloud adoption for SMEs and organizations from different manufacturing, services and health care sectors in developed countries (Abdollahzadegan et al, 2013;Baral & Verma, 2021;Bhandayker, 2019;Bhuyan & Dash, 2018;Lian et al, 2014;Oliveira et al, 2014;Ratnam et al, 2014;Tyagi et al, 2016. These studies only investigated the direct effects of these determinants on CC adoption and emphasized the technology itself (Lian et al, 2014).…”

Service robots are an option for contactless services due to the COVID-19 pandemic in the hotels

“…The constructs and related items were identified from the literature review. After consulting the industry experts and academicians, the variables and items are finalized, and a questionnaire is developed for the study (Baral and Verma 2021 ). The industry experts and academicians suggested a few modifications in the items as per the requirement of the study in luxury hotels.…”

Analysing the Adoption of Intelligent Agent Technology in Food Supply Chain Management: An Empirical Evidence

“…The article measures the intention of IAT adoption in the hotel FSC. Previous studies measured the intention to adopt IAT (Alsetoohy et al, 2019), AI and robotics in the hotels of Dubai (Nam et al, 2020) and cloud computing in the healthcare supply chain (SC) (Baral & Verma, 2021). Drastic developments in technology, change in the mindset of the customers and competition existing in the hotel industry forcing the luxury hotels to adopt the latest innovative technology in the process.…”