Exploring cloud computing adoption: COVID era in academic institutions

Sharma, Mahak; Singh, Anupama; Daim, Tuğrul U.

doi:10.1016/j.techfore.2023.122613

Cited by 13 publications

(5 citation statements)

References 96 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have suggested that gender is a critical demographic variable as a moderator in understanding technology acceptance intention [34,37,112]. For example, Venkatesh and Morris [32] found that gender-moderated relationships involving perceived ease of use, perceived usefulness, and behavioral intention also moderated the effect of social influence on behavioral intention.…”

Section: Moderating Effect Of Gendermentioning

confidence: 99%

“…To address this research gap and better understand the factors influencing biometric technology acceptance, we propose an extended TAM. Moreover, we are evaluating the moderating effect of gender given its significance in the technology acceptance literature [32][33][34][35][36][37][38]. The current literature lacks academic insight into the effect of gender differences.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

Kim,

Song,

Lee

2023

Sustainability

View full text Add to dashboard Cite

After the pandemic, there has been an increasing emphasis on customer convenience, with biometrics emerging as a key solution. This study empirically investigates the intention of Korean travelers to use airport biometric systems. The technology acceptance model (TAM) was employed to explore users’ perceptions of the system’s functional aspects, while technology familiarity, social influence, and trust in information protection were integrated into the model to understand users’ psychological aspects. The results reveal that perceived usefulness and ease of use have a positive relationship with the intention to use the biometric system and that perceived ease of use positively influences perceived usefulness. The impact of social influence and technology familiarity was not statistically significant but trust emerged as the most influential factor determining the intention to use the system. Furthermore, the study identified that gender moderates the effect of trust on the intention to use. This study contributes by identifying key determinants for airport biometric system adoption and by investigating the moderating influence of gender. As a primary result, airport biometric systems must have effective functionality and a user-friendly passenger environment while ensuring confidence in system security. These findings have significant implications for the sustainable implementation of airport biometric systems.

show abstract

Section: Moderating Effect Of Gendermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

Kim,

Song,

Lee

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Further, Zhao et al (2023) stated that the coronavirus disease 2019 (COVID-19) pandemic has led to a surge in CC usage, especially pay-as-you-go models especially in healthcare and education sector. It is proposed that CC has played a crucial role in mitigating the pandemic's effects (Sharma et al, 2023b). However, security risks remain a significant threat that needs attention (Zhao et al, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

“…On the other hand models such as technology acceptance model (TAM) (Davis, 1989), the technology organization environment (TOE) framework and the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al ., 2003) are extensively utilized to understand adopters' perceptions while making adoption decision. TOE is a valuable framework and has been significantly utilized in various adoption studies especially in context of novel technologies such as big data analytics (Sharma et al ., 2023a, b), CC (Sharma et al ., 2020a, b, c). Technology adoption and diffusion has been considered as phenomenon where the information about the technology and word of mouth impacts the decision through imitation effect system (Gupta and Jain, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Sharma,

Gupta,

Acharya

2023

JEIM

Self Cite

View full text Add to dashboard Cite

PurposeThis paper aims to examine the dynamism of causal relationships among cloud computing (CC) adoption factors in the Indian context, considering the perspectives of both the cloud adopter and cloud provider.Design/methodology/approachThe case-study method has been used to understand the dynamics among the factors. Using data from specific cases in India, causal loop diagrams (CLDs) have been developed. System dynamic modeling (SDM) and simulation are used to study the relationships and their effect on the adoption rate.FindingsThe results revealed that adoption of CC depends on various factors such as persuasion (time-saving, cost-saving and word of mouth) and constraint factors (security and financial loss). However, it is seen that the adoption rate is very sensitive to changes in adoption per contact and word of mouth. Further, the adopter firm has a quicker time to market, which gives an added advantage to the firm. Also, with CC services, a firm can fulfill its projects or clients' requirements with little to no upfront investment in information technology (IT) services.Practical implicationsLack of security, standardization and undefined service-level agreements are a few pressing issues that make it difficult for firms to evaluate the performance and reliability of services. Hence, immediate attention is needed to make transparent policies on CC and its services, thereby building trust.Originality/valueThis is the first and only work that has tried to explore and empirically test the dynamics of critical factors while making an adoption decision, considering both the adopter and provider perspectives. This study shows the journey of a firm, starting from being a prospective adopter to an adopter and continuous user. The work also empirically tested how adopters of technology benefit from the technology.

show abstract

Medical student’s acceptance of mobile learning: Integrating TAM model with perceived reusability

Suliman,

Zhang,

Suluman

et al. 2024

Educ Inf Technol

View full text Add to dashboard Cite

Exploring cloud computing adoption: COVID era in academic institutions

Cited by 13 publications

References 96 publications

Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

Exploring the Determinants of Travelers’ Intention to Use the Airport Biometric System: A Korean Case Study

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

Medical student’s acceptance of mobile learning: Integrating TAM model with perceived reusability

Contact Info

Product

Resources

About