商业价值
大数据
透明度(行为)
分析
价值(数学)
实证研究
适应(眼睛)
数据科学
价值网络
竞争优势
商业模式
计算机科学
知识管理
产业组织
业务
营销
过程管理
微观经济学
数据挖掘
经济
利润(经济学)
机器学习
哲学
物理
计算机安全
认识论
光学
作者
Gianluca Elia,Elisabetta Raguseo,Gianluca Solazzo,Federico Pigni
标识
DOI:10.1016/j.im.2022.103701
摘要
Big data are a prominent source of value capable of generating competitive advantage and superior business performance. This paper represents the first empirical investigation of the theoretical model proposed by Grover et al. (2018), considering the mediating effects of four value creation mechanisms on the relationship between big data analytics capabilities (BDAC) and four value targets. The four value creation mechanisms investigated (the source of the value being pursued) are transparency, access, discovery, and proactive adaptation, while the four value targets (the impacts of the value creation process) are organization performance, business process improvement, customer experience and market enhancement, and product and service innovation. The proposed empirical validation of Grover et al.’s (2018) model adopts an econometric analysis applied to data gathered through a survey involving 256 BDA experts. The results reveal that transparency mediates the relationship for all the value targets, while access and proactive adaptation mediate only in case of some value targets, and discovery does not have any mediating effect. Theoretical and practical implications are discussed at the end of the paper.
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