大数据分析、公司规模和绩效

IF 2.9 Q2 MANAGEMENT Strategy Science Pub Date : 2023-12-18 DOI:10.1287/stsc.2022.0007
Raffaele Conti, Miguel Godinho de Matos, Giovanni Valentini
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引用次数: 0

摘要

大数据分析(BDA)是最重要的通用技术之一。尽管 BDA 在各行各业日益普及,而且一些初步证据表明,采用 BDA 与企业生产率呈正相关关系,但以往的研究并未充分调查 BDA 的益处究竟是如何实现的。为了解决这个问题,我们探讨了 BDA 对创新过程的影响,这是决定企业生产率的关键因素。我们的研究结果表明,大型企业和小型企业都能从 BDA 中获益,但规模是决定最相关绩效收益的关键组织属性:对大型企业而言,BDA 带来的增值收益尤为突出,而对小型企业而言,销售收益则更为重要。这表明,企业规模越大,通过流程创新降低成本和提高效率与通过产品创新增加销售的相对倾向性就越大。资助:R. Conti 获得了 CY 计划的资金支持。M. Godinho de Matos 获得了葡萄牙科技基金会 FCT [UID/GES/00407/2020] 的资助。
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Big Data Analytics, Firm Size, and Performance
Big data analytics (BDA) is one of the most important general-purpose technologies. Despite the increasing pervasiveness of BDA across industries and some preliminary evidence indicating that BDA adoption is positively related to firm productivity, previous studies have not fully investigated how BDA benefits actually materialize. To address this question, we explore the effect of BDA on the innovation process, a key determinant of firm productivity. Our findings indicate that both large and small firms can gain from BDA, yet size is a critical organizational attribute determining the most relevant performance gains captured: BDA benefits for value-added are particularly salient for large firms, whereas benefits for sales are more relevant in small firms. This suggests that the relative propensity to use BDA to decrease costs and enhance efficiency through process innovation vs. to increase sales through product innovation is increasing in firm size. Funding: R. Conti received financial support from the CY initiative. M. Godinho de Matos received the support from FCT – Portuguese Foundation of Science and Technology [Grant UID/GES/00407/2020].
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来源期刊
Strategy Science
Strategy Science MANAGEMENT-
CiteScore
6.30
自引率
5.10%
发文量
31
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