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Designing an Organizational Readiness Framework for Big Data Adoption

机译:设计大数据采用的组织准备框架

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Organizations recognize the opportunities and business value offered by Big Data technologies. However there are many problems, which are derived from the difficulty of understanding the complex dimensions involved in Big Data adoption. Therefore, companies are in doubt of their readiness to gain the profits of Big Data and could not be capable to know if they are ready for such adoption. In this regard, comprehensively identifying Big Data readiness assessment dimensions can be a very useful step forward to improve Big Data adoption. Accordingly, various dimensions and their related components have been identified through a deep and comprehensive investigation of the broad literature and a deep and comprehensive framework is established which helps organizations with identifying their potential in Big Data adoption. The outcomes of current research show that although companies believe that they are technically adopting big data, but they would not achieve benefits and gain value from it until they align their strategic plan with Big Data applications. The framework is helpful in pointing out components which organizations could improve, form a firm basis for guiding the managers and scholars to plan Big Data adoption.
机译:组织认识到大数据技术提供的机会和业务价值。然而,存在许多问题,这是从理解大数据采用中涉及的复杂尺寸的难度导出。因此,公司有疑问,他们准备好获得大数据的利润,并无法知道它们是否已准备好进行这种采用。在这方面,全面识别大数据准备评估尺寸可以是改善大数据采用的非常有用的一步。因此,通过对广泛文学的深层和全面调查来确定各种尺寸及其相关组分,并建立了深度和全面的框架,帮助组织识别他们在大数据采用中的潜力。目前研究的结果表明,虽然公司认为他们在技术上采用大数据,但他们不会从中获得福利和获得价值,直到他们将战略计划与大数据应用一致。该框架有助于指出组织可以改进的组件,形成指导经理和学者计划大数据采用的坚定基础。

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