Realising value from big data analytics: The process of affordance actualisation

IF 7.2 Digital Business Pub Date : 2025-01-30 DOI:10.1016/j.digbus.2025.100108
Firdous Mohd Farouk , Christophe Schinckus , Sandra Smith
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Abstract

Recent developments in big data analytics (BDA) enable financial institutions to optimize their decision-making processes. However, many BDA projects fail due to a lack of understanding of the value related to the realisation process. Guided by affordance actualisation theory, this article uses a critical realist case study approach to examine BDA affordance actualisation in a Malaysian-owned regional bank. Data collection involved an online survey, semi-structured interviews, and archival reviews. Using four BDA affordances specific to the banking industry, along with contextual mechanisms shaping organisational actions, interactions, and structures, our study highlights the importance the process of building BDA capabilities to realise BDA value. By highlighting the iterative and dynamic nature of the affordance actualisation process, this research extends theoretical insights into how organisations build BDA capabilities to realise value.This multi-layered research provides practitioners in banking and other sectors with actionable insights to enhance BDA implementation and realise its potential value.
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从大数据分析中实现价值:功能实现的过程
大数据分析(BDA)的最新发展使金融机构能够优化其决策过程。然而,由于缺乏对与实现过程相关的价值的理解,许多BDA项目失败了。在承诺实现理论的指导下,本文采用批判现实主义的案例研究方法来研究马来西亚拥有的区域银行的BDA承诺实现。数据收集包括在线调查、半结构化访谈和档案回顾。利用银行业特有的四种BDA功能,以及形成组织行动、互动和结构的上下文机制,我们的研究强调了构建BDA能力以实现BDA价值过程的重要性。通过强调功能实现过程的迭代性和动态性,本研究将理论见解扩展到组织如何构建BDA能力以实现价值。这项多层次的研究为银行业和其他行业的从业者提供了可操作的见解,以加强BDA的实施并实现其潜在价值。
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