澳大利亚中小企业采用云计算的多视角方法
A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs
摘要：
云计算被证明是一种有效的计算技术，它提供了成本效益，IT技术灵活性和可扩展性，增强业务流程，提高企业竞争力等优势。在澳大利亚，有一种新兴的趋势，即中小型企业（SMEs）开始在传统的工作实践中采用这种技术。然而，有一个缺乏事先的研究，研究影响澳大利亚中小企业采用云计算的因素。为了填补经验的真空，这项研究正在进行中，提出了一个综合框架，审查云计算服务采用的决定因素，考虑到澳大利亚中小企业的独特特点，如相对较低的采用云计算服务，创新少，有限的知识云计算及其好处和障碍。为此，我们正在进行连续的研究，以调查这一研究问题。将进行探索性访谈研究，以确定和验证澳大利亚中小企业对云计算采用的独特特征。接下来是组织层面的调查，调查这些决定因素对云计算采用的影响。最后，澳大利亚中小企业采用云计算的决策模型将通过使用多标准决策方法（MCDA），通过评级，优先级和各种标准的排名和可供决策者选择。本研究采用混合研究方法，希望能对云计算研究和应用领域的学者和实践者有一定的借鉴意义。
英文摘要：
Cloud computing is proved to be an effective computing technology for organisations through the advantages that it offers such as cost-effectiveness, IT technical agility and scalability, enhancing businesses processes, and increasing enterprises competitiveness. In Australia, there is an emerging trend that small and medium-sized enterprises (SMEs) begin to adopt this technology in the conventional working practices. However, there is a dearth of prior studies on examining the factors that influence the cloud computing adoption among Australian SMEs. To fill the empirical vacuum, this research-in-progress proposes an integrated framework for examining the determinants of cloud computing service adoption with the consideration of the unique characteristics of Australian SMEs, such as relatively low adoption of cloud computing services, less innovative, and limited knowledge about cloud computing and its benefits and hindrances. To this end, we are conducting consecutive studies to investigate this research issue. An exploratory interview study will be undertaken to identify and verify the unique characteristics of Australian SMEs toward the cloud computing adoption. This is followed by an organisational level survey that examines the effects of those determinants on cloud computing adoption. Finally, a decision model for cloud computing adoption among Australian SMEs will be developed by using a Multi Criteria Decision Approach (MCDA) through rating, prioritising, and ranking of various criteria and alternatives available to the decision makers. Adopting the mixed-method research fashion, this research-in-progress intends to make significant implications to scholars and practitioners alike in the cloud computing research and applications areas.
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