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How talent capability can shape service analytics capability in the big data environment?

机译:人才能力如何影响大数据环境中的服务分析能力?

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We know very little about how big data-driven service analytics capabilities (SAC) are built in data-driven service organizations and the potential role of talent capability in facilitating overall SAC and the impact of both on firm performance (FPER). Drawing on the dynamic capabilities (DC) approach, this study investigates the link between SAC and FPER examining the mediating role of talent capability and the moderating influence of a firm's strategic alignment. On the basis of two Delphi studies and survey data from 267 service analysts in the US and France, the findings show that even though SAC are built on technology, talent and information capabilities, their overall impact on firm performance is mediated by the level of talent capability of service analytics managers. The findings also confirm the critical moderating impact of strategic alignment between dynamic talent capability and firm performance in the big data environment.
机译:我们对数据驱动服务组织中如何构建大数据驱动服务分析功能(SAC)以及人才能力在促进总体SAC中的潜在作用以及二者对公司绩效(FPER)的影响知之甚少。借助动态能力(DC)方法,本研究调查了SAC和FPER之间的联系,从而研究了人才能力的中介作用和企业战略调整的适度影响。根据两次Delphi研究和来自美国和法国的267位服务分析师的调查数据,调查结果表明,即使SAC建立在技术,人才和信息能力之上,但它们对公司绩效的总体影响还是由人才水平介导的。服务分析经理的能力。研究结果还证实了在大数据环境中动态人才能力与公司绩效之间的战略协调所产生的关键缓和影响。

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