生产力
业务
分析
突出
大数据
产品(数学)
产业组织
价值(数学)
营销
经济
数据科学
计算机科学
宏观经济学
人工智能
机器学习
操作系统
数学
几何学
作者
Raffaele Conti,Miguel Godinho de Matos,Giovanni Valentini
出处
期刊:Strategy science
[Institute for Operations Research and the Management Sciences]
日期:2023-12-18
卷期号:9 (2): 135-151
被引量:9
标识
DOI:10.1287/stsc.2022.0007
摘要
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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