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Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda

机译:关于数字化和大数据分析引发的社会和商业模式转型的思考:研究议程

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In the era of accelerating digitization and advanced big data analytics, harnessing quality data for designing and delivering state-of-the-art services will enable innovative business models and management approaches (Boyd and Crawford, 2012; Brynjolfsson and McAfee, 2014) and yield an array of consequences. Among other consequences, digitization and big data analytics reshape business models and impact employment amongst knowledge workers - just as automation did for manufacturing workers. This Viewpoint paper considers the mechanisms underlying how digitization and big data analytics drive the transformation of business and society and outlines the potential effects of digitization and big data analytics on employment - especially in the context of cognitive tasks. Its aim is to outline a critical research agenda to explore and conceptualize evident changes in business models and society arising from these technological advances. 2015 Elsevier B.V. All rights reserved.
机译:在加速数字化和高级大数据分析的时代,利用高质量数据来设计和交付最先进的服务将实现创新的业务模型和管理方法(Boyd和Crawford,2012; Brynjolfsson和McAfee,2014)和收益一系列后果。除其他后果外,数字化和大数据分析重塑了业务模型,并影响了知识型员工的就业,就像自动化对制造业工人一样。该观点论文考虑了数字化和大数据分析如何驱动企业和社会转型的潜在机制,并概述了数字化和大数据分析对就业的潜在影响,尤其是在认知任务的背景下。其目的是概述重要的研究议程,以探索和概念化技术进步带来的商业模式和社会的明显变化。 2015 Elsevier B.V.保留所有权利。

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