Investigating the Factors Affecting the Adoption of Cloud Computing in SMEs: A Case Study of Saudi Arabia

AlGhamdi, Fahad; Sharma, Dharmendra; Sathye, Milind

doi:10.1007/978-3-030-11395-7_15

Cited by 4 publications

(10 citation statements)

References 22 publications

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“…Therefore the hypothesis H 8 is accepted. This finding proves to be consistent with the findings of prior studies that use the standard UTAUT model (Alsharif, 2013;Venkatesh et al, 2003) who observed a powerful effect of facilitating conditions on actual use behavior. The result of this study is also consistent with those studies that found that the earlier usage of , 2008).…”

Section: Discussionsupporting

confidence: 92%

“…The statistical analysis of the hypothesis H 7 revealed a significant positive result (β = 0.247, p < 0.01), which indicates that respondents show a positive intention towards using E-commerce services assuming that they hold the pertinent facilitating conditions that permit them to do so. This result is consistent with that of Alsharif (2013), who revealed that the potential facilitating conditions have a considerable impact on forecasting behavioral intention. Similar findings were reported by Escobar-Rodriguez and Carvajal-Trujillo (2014) and Venkatesh et al (2012).…”

Section: Discussionsupporting

confidence: 91%

“…Similar results were found by many researchers, in different national settings, when examining the adoption of innovation in both developed, such as the United Kingdom (Hariri, 2014), andSouth Korea (Kim et al, 2015); and developing or newly industrialized countries, such as Oman (Tabsh, 2012) and Taiwan (Yueh et al, 2015). This finding is also consistent with those of Al-Sobhi and Weerakkody (2010); Alsharif (2013), Hariri (2014, Kim et al, (2015), Tabsh (2012) and Venkatesh et al (2003). This finding shows that when individuals have limited experience with online services, social influence becomes less important.…”

Section: Discussionsupporting

confidence: 88%

“…Unfortunately, social influences, perceived credibility, perceived benefit, and perceived awareness/education were not found to be significantly related with behavioral Intention. Alsharif (2013) investigated the factors that affect individuals in Saudi Arabia to use and adopt on-line shopping by using UTAUT model. The constructs used in this study are performance expectancy, effort expectancy, social influence and facilitating conditions, attitude toward using technology, computer self-efficacy, computer anxiety and behavioral intention.…”

Section: Theoretical Framework and Hypotheses Development Theoretical...mentioning

confidence: 99%

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Adoption of electronic commerce by individuals in Bangladesh

Azam

Morsalin

Rakib

et al. 2021

Information Development

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With increased use of Internet and information technology platforms, e-commerce has experienced tremendous growth worldwide in the recent years. Although growing steadily in various digital services, Bangladesh has not been able to gain full advantages and benefits of e-commerce due to its poor adoption rate. This study aims at exploring the factors affecting e-commerce adoption in Bangladesh by applying an extended version of Unified Theory of Acceptance and Use of Technology (UTAUT) model which includes perceived risk, perceived cost and personal awareness with perceived usefulness, perceived ease of use, social influence, and facilitating conditions. This study applies a mixed methods research approach by combining qualitative field study and quantitative survey. A PLS based structural equation modeling is employed to a dataset of 253 individuals which are collected by applying a convenient sampling technique. The study results reveals that perceived usefulness, perceived cost, personal awareness and facilitating conditions affect consumer behavioral intention while facilitating conditions as well as behavioral intention have positive influence on actual use of e-commerce. This study also provides several implications that might be useful for the academic proponents, decision makers, and various stakeholders.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 88%

Section: Theoretical Framework and Hypotheses Development Theoretical...mentioning

confidence: 99%

See 2 more Smart Citations

Adoption of electronic commerce by individuals in Bangladesh

Azam

Morsalin

Rakib

et al. 2021

Information Development

View full text Add to dashboard Cite

show abstract

“…Later, Venkatesh et al, (2012) extended the UTAUT model known as UTAUT2, which incorporates significant improvements in consumer technology adoption literature (Satama, 2014). Earlier studies reviewed the adoption of technologies in various sectors, that is, mobile commerce (Rahman and Sloan, 2017), e-mail systems (Alraja, 2015), online shopping (Alsharif, 2013) and wireless LAN technology (Anderson and Schwager, 2004). This important innovation has received very little attention among the tourism stakeholders, particularly the tourists, for purchasing tourism products.…”

Section: Introductionmentioning

confidence: 99%

Acceptance and use of ICT in tourism: the modified UTAUT model

Ali

Tuhin²,

Alim³

et al. 2022

JTF

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PurposeThis study aims to investigate the technology usage behaviour of the tourists in line with the modified unified theory of acceptance and use of technology (UTAUT) model.Design/methodology/approachData were collected from a survey of 265 tourists using the random sampling technique. Partial least squares-based structural equation modelling (PLS-SEM) technique was used to analyze the data.FindingsThe findings revealed that performance expectancy, hedonic motivation and habit significantly influence the behavioural intention of tourists to use information and communication technology (ICT), while effort expectancy, social influence, and facilitating conditions do not have a significant influence. However, actual ICT usage behaviour largely depends on the behavioural intention of the tourists, and their habits, while the facilitating conditions do not have any influence in this case.Practical implicationsThe findings uncover the core factors influencing tourists' actual ICT use behaviour that can assist the concerned stakeholders in designing tourism planning and sales. The study results also offer pathways for the world's tourism industry for a healthy recovery from the COVID-19 pandemic.Originality/valueThe findings have made robust contributions by extending the existing UTAUT-based literature by adding two new moderators in the relationship between behavioural intention and actual ICT usage behaviour.

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