2020
DOI: 10.18510/hssr.2020.8115
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Understanding Determinants of Cloud Computing Adoption Using an Integrated Diffusion of Innovation (Doi)-Technological, Organizational and Environmental (Toe) Model

Abstract: Purpose of the study: This study aims to investigate the internal and external factors for CC adoption decisions of companies in Izmir, Turkey using a combination of DOI and TOE models. Methodology: This is a confirmatory survey of businesses, forming a questionnaire for 176 IT decision-makers of non-cloud or cloud user businesses in the city of Izmir in Turkey. SmartPLS 3.0 software is used to assess the determinants affecting cloud computing adoption. Main Findings: The study identified relative … Show more

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Cited by 20 publications
(18 citation statements)
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References 42 publications
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“…Variable Indicator Source Organization Cost [29], [33], [26] Organizational Readiness [31], [24], [25], [35], [28] Top Management Support [31], [32], [24], [29], [33], [36], [34], [26], [25], [28] Organization size [33], [36], [37] Organization Culture [38], [26], [28] Environment Government Support [32], [29], [36], [38], [25], [35], [37], [28] Competitive Pressure [31], [32], [24], [29], [36], [34], [26], [25], [23], [28] Environment Uncertainly [29] Vendor Quality [24], [23] Data collection was carried out by distributing questionnaires via google form and print media. Google form is spread through social media, groups, MSMEs forums, and Whatsapp.…”
Section: Methodsmentioning
confidence: 99%
“…Variable Indicator Source Organization Cost [29], [33], [26] Organizational Readiness [31], [24], [25], [35], [28] Top Management Support [31], [32], [24], [29], [33], [36], [34], [26], [25], [28] Organization size [33], [36], [37] Organization Culture [38], [26], [28] Environment Government Support [32], [29], [36], [38], [25], [35], [37], [28] Competitive Pressure [31], [32], [24], [29], [36], [34], [26], [25], [23], [28] Environment Uncertainly [29] Vendor Quality [24], [23] Data collection was carried out by distributing questionnaires via google form and print media. Google form is spread through social media, groups, MSMEs forums, and Whatsapp.…”
Section: Methodsmentioning
confidence: 99%
“…However, a firm's engagement in technology adoption is more concerned with community pressure and the economic risk of developing countries' enterprises [131]. Moreover, technology adoption studies are more towards adoption drivers, specifically [135]. The current study leads adoption to one step forward from innovation to performance effect.…”
Section: A Holistic Comparison Of Our Findings With Other Studiesmentioning
confidence: 89%
“…The extant literature on CCA shows that researchers have generally used TOE model [30,43], and DOI model [29], Abubakar et al [44] for ascertaining the acceptance and usage of CCA by organizations. Some other studies have also used TAM-TOE model [45,46] and TAM-DOI model [47,48],TOE-DOI model [7,30,49,50], and TAM-DOI-TOE model [8].…”
Section: Technology Adoption Theories and Modelmentioning
confidence: 99%
“…Thus, it may be assumed that the benefits of CC will exceed existing practices and procedures [49] and hence, will positively influence its adoption [7]. The existing literature [7,30,50,59] further shows that CA has been found as an essential determinant of CCA. Therefore, the proposed hypothesis is as follows: H1: Competitive advantage (CA) of CC will positively affect the intent of Indian PUs to adopt CC.…”
Section: Hypothesis Development-competitive Advantage (Ca)mentioning
confidence: 99%