Table 1 Summary of cloud computing acceptance

Hsieh P.J (2016) [40]

An empirical investigation of patients’ acceptance and resistance toward the health cloud: The dual factor perspective

Patients

UTAUT

Findings show that patients acceptance or otherwise of a health cloud shows a negative effect.

Hsieh P.J. (2015) [83]

Healthcare professionals’ use of health clouds: Integrating technology acceptance and status quo bias perspectives

Health workers

Findings show a negative trend in the relationship that exist between health workers intention or otherwise to the usage of the health cloud.

Su Chen-Ying et al. (2015) [38]

Willingness of E-care Cloud System Using-Based on a Long-term Caring Institution in Southern Taiwan

Caregivers

TAM2

Findings show that caregivers are willing to use the E-care cloud system. In addition, information literacy and working association were seen as being able to enhance caregivers’ willingness to use the system.

Chen M.S. et al. (2016) [39]

The Intention to Use the Cloud Sphygmomanometer-Demonstrated by Taiwan Medical Center

Patients

TAM

Investigations identified specific important factors such as social influence, anchor and adjustment as major influence for using cloud sphygmomanometer and how this factors relates with TAM.

Sedem et al. (2015) [45]

Cloud Computing Framework for E-Health in Ghana: Adoption Issues and Strategies: Case Study Of Ghana Health Service

Healthcare professionals

Diffusion of Innovation Theory (DOI)

Findings indicate that most healthcare professionals in Ghana, are well informed with modern health technologies.