Factor and the adoption of cloud computing technology [88].

Factor 6:  Top Management SupportTopmanagement support refers to the decision makers who influence the adoption ofinnovation 28 and is which described by 29 as goal specificity, resourcemanagement, and commitment. Thus, the role of top management support is crucialto success the adopting of new technology.

Therefore, Top management support isregarded in many studies as an important factor influencing the adoption oftechnology innovation 30– 32. Hypothesis 6: Topmanagement support will impact the adoption of cloud computing positively.  Factor 7: IndustrySectorIThas a major impact on how enterprises manage their business but the role of ITin anorganizationdiffers, depending on the sector 86.  Hypothesis 7:Industry sector will impact the adoption of cloud computing positively.

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 Factor 8:Organizational culture Theorganizational structure of the organization will have also a contribution onthe adoption of cloud computing.  Hypothesis 8: Organizationalculture will impact the adoption of cloud computing solution positively. Factor 9:Organizations structureTheagility of the organizational structure has an impact on the adoption of cloudcomputing solution.  Hypothesis 9:Organizational structure will impact the adoption of cloud computing solutionpositively.

  Environmental Context Factor 10:Competitive PressureCompetitivepressure may be a factor which influences the adoption of cloud computing. Ithas been argued that competitive pressure is very influential in the adoptionof technology in general 87 although one study found that there is norelation between the competitive pressure and the adoption of cloud computingtechnology 88. Hypothesis 10:Competitive pressure will impact theadoption of cloud computing positively.

 Factor 11:External SupportExternalsupport in this seminar refers to the support from the cloud service providertoinfluenceclients to adopt cloud technology. Hypothesis 11: External support willimpact cloud computing solution positively.  Factor 12:Government SupportGovernmentsupport in this context is understood as the regulation, policies andinitiatives thatsupportenterprises in the adoption of cloud computing. Government support can play agreat role in adopting cloud computing technology in once country.

Governmentcan support by implementing favourable policies and regulations for cloudcomputing adoption.  Hypothesis 12:Government support will impact cloud computing solution adoption positively.   Organizational, Technology context Factor 13:Risk Riskrefers to the uncertainty on the outcome of the innovation.  Hypothesis 13:Risk will impact the adoption of cloudcomputing solution negatively. Factor 14:TrustTrustbetween the cloud technology provider and the client is important for the adoptionof cloud computing solution.

This can be seen from two perspectives, the firstis between the technology vendor or supplier of cloud computing and theoperator. And the other is between the operator and the users of that operator. Hypothesis 14:Trust will impact the adoption of cloudcomputing solution positively.   DOIFactor 15: Relativeadvantage Relativeadvantage is defined as “the degree to which an innovation is perceived asbeing better than the idea it superseded” 40. Cloud computing offerstechnical as well as economic advantages over traditional IT environments. 89 Hypothesis 15:Relative advantage will impact the adoption of cloud computing positively.  Factor 16: Compatibility  Compatibilityrefers to which extent the new innovation fits with existing organisation’svalues, culture and practices 90.

 Hypothesis 16:Compatibility will impact the adoptionof cloud computing solution negatively.  Factor 17: ComplexityComplexity inDOI terms was defined as “the degree to which an innovation is perceived asrelatively difficult to understand and use” 90. Hypothesis 17:Complexity will impact the adoption of cloud computing negatively.  1.5.3.3. Generating the questionnaire A questionnaireis generated using the hypothesis defined above.

The questionnaire has twosections; the first section of the survey contained items which asks about respondent’sdemographic characteristics. And the second section of the survey focuses ongathering the response of the respondents on the questionnaire related to ourseminar area. Each items of the questionnaire are measured using a five-pointLikert scale anchored by “strongly disagree” and “strongly agree”.1.

5.3. Secondary data sourceSecondarysources like journal articles, books and internet sources has been used forthis seminar to support the primary data. A reference has been indicatedwhenever it is used.