Big Data Analytical Capability’s Role in Talent Management: Dynamic Capabilities’ Mediation in the Public Sector
Date
2025
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Publisher
Springer Cham
Abstract
This article explores the crucial role of big data analytical capabilities (BDAC) in enhancing competitive talent acquisition. It underscores big data as a vital resource akin to an organisation’s workforce, emphasising the necessity for skilled personnel to utilise big data effectively for quality benefits, distinguishing organisations both locally and globally. The study aims to clarify the relationship between BDAC and TA, investigating this through a framework that includes practical and scientific evidence to demonstrate how BDAC contributes to business value. A key concern addressed is the existing gap in how organisations harness big data to generate real value, with the study highlighting the ongoing challenges in optimising big data’s potential in business research. The article leverages environmental heterogeneity as a moderating variable, providing diverse perspectives on the relationship between big data and talent acquisition (Elia et al., Ind Mark Manag 1–16, 2020; Wamba et al., How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study Samuel Fosso Wamba, 2015). The research was conducted in Abu Dhabi, targeting government entities, and employs a quantitative survey design with 351 respondents to ensure valid results. The aim was to extract valuable insights through academic and experimental contributions, addressing the identified literature gaps and enhancing strategic decision-making concerning talent and dynamic capabilities in organisations (Chen et al., Manag Decis 57:5–18, 2019; Akter, Int J Prod Econ 182:113–131, 2016; Raguseo and Vitari, Int J Prod Res 2018).
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Citation
Aldhaheri, M.A.H., Lahrech, A. (2025). Big Data Analytical Capability’s Role in Talent Management: Dynamic Capabilities’ Mediation in the Public Sector. In: Al Marri, K., Mir, F.A., Awad, A., Abubakar, A. (eds) BUiD Doctoral Research Conference 2024. BDRC 2024. Lecture Notes in Civil Engineering, vol 587. Springer, Cham. https://doi.org/10.1007/978-3-031-84371-6_7