An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model

By Eunil Park, Ki Joon Kim. Telematics and informatics, 2014

309 citations recorded by the source corpus.

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Determinants of continuance intention to use the smartphone banking services: An extension to the expectation-confirmation model (2016, background): “Therefore, both perceived usefulness and perceived security and privacy are included in our study as the extrinsic motivations (Lin et al., 2005; Park and Kim, 2014).”
An acceptance model for smart watches: Implications for the adoption of future wearable technology (2015, background): “For example, MB was found to be a critical factor in shaping user perceptions of mobile cloud computing (Park and Kim, 2014), LTE services (Park and Kim, 2013), mobile learning (Huang et al.”
Wearable technologies: The role of usefulness and visibility in smartwatch adoption (2016, methodology): “…as long-term evolution (Park & Kim, 2013), mobile payment (Li ebana-Cabanillas, S anchezFern andez, & Mu~noz-Leiva, 2014), mobile cloud services (Park & Kim, 2014), smartphones (Joo & Sang, 2013), smartwatches (Kim & Shin, 2015), smart glasses (Rauschnabel & Ro, 2016), tablet computers…”
Tourist behaviour towards self-service hotel technology adoption: Trust and subjective norm as key antecedents (2015, background): “However, over the past few years, adoption theories have been successfully applied to the service contexts (Park & Kim, 2014; Chong, Ooi, Lin, & Bao, 2012).”