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A Framework for Five Big V’s of Big Data and Organizational Culture in Firms

机译:五大V年的大数据和组织文化在公司的框架

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Big data analytics has come out as a new important field of study for both researchers and practitioners, demonstrating the significant demand for solutions to business problems in a data-driven knowledge-based economy. Additionally, empirical studies examining the impacts of the nascent technology on organizational performance, especially the influence of organizational culture on the five Big V's of big data, remain scarce. The present study aims to fill the gap. Based on Cameron and Quinn's organizational cultural model, this study proposes a theoretical framework that describes how each type of organizational culture - hierarchy, clan, adhocracy, and market - has impacts on each Big V of big data. The framework suggests that firms, influenced by their organizational culture, have different views on how important each Big V's should be. The study argues that organizations should develop, nurture, and maintain an adhocracy organizational culture that has a positive impact on each of the five Big V's to harness the full potential of big data.
机译:大数据分析已成为研究人员和从业者的一个新的重要研究领域,展示了对数据驱动的知识经济中的业务问题的重大需求。此外,实证研究检查了新兴技术对组织绩效的影响,尤其是组织文化对五大数据的影响,仍然稀缺。本研究旨在填补差距。该研究基于Cameron和Quinn的组织文化模型,提出了一种理论框架,描述了各种类型的组织文化 - 层次,氏族,副主义和市场 - 对大数据的每个大V族产生影响。该框架表明,由其组织文化影响的公司对每个大V年的重要性有不同的看法。该研究认为,组织应该制定,培养和维护一个对五个大V族中的每一个具有积极影响的秘密组织文化,以利用大数据的全部潜力。

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