Research Article

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Table 1

Empirical studies on MCC adoption.

ReferencesTheoryCountry (context)LevelMethodIndependent variableDependent variableKey findings

Almaiah & Al-Khasawneh [27]Integrated modelSaudi Arabia (education)IndividualQuestionnaire (210 academic staff) & SEMQuality of service, PU, perceived security, perceived privacy, trust, relative advantage and PEOUIntention to adopt MCCQuality of service, PU, PEOU, relative advantage, and trust. Security and privacy concerns still prevent MCC adoption in Saudi universities.

Arpaci [13]TRATurkey (education)IndividualSurvey (308 undergraduate student) & SEM and machine learningInformation retrieval, storage, sharing, application, and attitudeBehavioral intentionsThe students’ information management (i.e., retrieve, store, share, and apply) practices significantly affect their attitudes, which significantly affects behavioral intentions to use MCC.

Carreiro & Oliveira [28]DOIPortugal (firm)OrganizationSurvey (154 firms) & PLSVision, intellectual stimulation, supportive leadership, supportive leadership, and personal recognitionIntention, adoption, and routinizationLeaders’ vision, combined with the capacity to consider others’ feelings and recognize others’ personal needs, is strongly related to MCC adoption.

Abdulfattah [30]TAMSaudi Arabia (education)IndividualSurvey (163 students) & ANOVAAttitude to use, PEOU, PU, accessibility of MCC, social influence, personal innovativeness, and perceived privacy and security concernsStudents’ intention to use MCCAttitude, PEOU, PU, social influence, accessibility, individual characteristics, perceived privacy, and security are important determinants of intention to use MCC.

Kim & Kim [17]Agency theoryKoreaIndividualSurvey (263 users) & regression analysisPerceived uncertainty and its antecedents (perceived information asymmetry, fears of service provider opportunism, and information privacy & security concerns), and three motivators (trust, convenience, and social presence)Intention to utilize MCC and actual utilizationTrust and convenience are motivators, and perceived uncertainty is a mitigator for adopting MCC services.

Amin et al. [19]UTAUTMalaysia, Pakistan, and Saudi Arabia (healthcare)IndividualSurvey (147 healthcare professionals) & regression analysisPerformance expectancy, effort expectancy, facilitating conditions, and social influenceBehavioral intentionSocial influence is the least predictor in determining the user’s behavioral intentions toward using mobile cloud-based healthcare services.

Arpaci [3]TAMTurkey (education)IndividualSurvey (262 undergraduate students) & SEMPEOU, perceived ubiquity, PU, perceived security, perceived privacy, trust, subjective norm, and attitudeIntention to use mobile cloud storage servicesPU, subjective norm, and trust have significantly positive effects on the attitude, which is a significant predictor of behavioral intentions.

Park & Kim [16]TAMSouth Korea (education)IndividualInterviews (16 students) and survey (1099 samples) & SEMPU, attitude, mobility, connectedness, security, service & system quality, and satisfactionIntention to use MCC servicesUser acceptance of MCC services is largely affected by perceived mobility, connectedness, security, quality of service and system, and satisfaction.

Note: theory of reasoned action, TRA; diffusion of innovation, DOI; perceived usefulness, PU; perceived ease of use, PEOU.