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Cloud adaptiveness within industry sectors - Measurement and observations

机译:工业部门内的云适应性-测量和观察

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Cloud computing combines established computing technologies and outsourcing advantages into a new ICT paradigm that is generally expected to foster productivity and economic growth. However, despite a series of studies on the drivers of cloud adoption, evidence of its economic effects is lacking, possibly because many of the datasets on cloud computing are of insufficient size and often lack a time dimension as well as precise definitions of cloud computing, thus making them unsuitable for rigorous quantitative analysis. To overcome these limitations, we propose a proxy variable for cloud computing usage cloud adaptiveness based on survey panel data from European firms. Observations based on a descriptive analysis suggest three important aspects for further research. First, cloud studies should be conducted at the industry level as cloud computing adaptiveness differs widely across industry sectors. Second, it is important to know what firms do with cloud computing to understand the economic mechanisms and effects triggered by this innovation. And third, cloud adaptiveness is potentially correlated to a firm's position in the supply chain and thus the type of output it produces as well as the market in which it operates. Our indicator can be employed to further analyze the effects of cloud computing in the context of firm heterogeneity. (C) 2015 The Authors. Published by Elsevier Ltd.
机译:云计算将成熟的计算技术和外包优势结合到一个新的ICT范式中,该范式通常有望促进生产力和经济增长。但是,尽管进行了一系列有关采用云的驱动因素的研究,但仍缺乏有关其经济影响的证据,这可能是因为云计算上的许多数据集规模不足,并且通常缺乏时间维度以及云计算的精确定义,因此使其不适用于严格的定量分析。为了克服这些限制,我们基于来自欧洲公司的调查面板数据,提出了一个云计算使用率云适应性的代理变量。基于描述性分析的观察结果提出了需要进一步研究的三个重要方面。首先,云研究应在行业级别进行,因为跨行业的云计算适应性差异很大。其次,了解公司如何使用云计算以了解这种创新引发的经济机制和影响是至关重要的。第三,云的适应性可能与企业在供应链中的地位,因此产生的产出类型以及经营所在的市场有关。我们的指标可用于进一步分析企业异质性环境下的云计算影响。 (C)2015作者。由Elsevier Ltd.发布

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