Orchestrating the digital symphony: the impact of data-driven orientation, organizational culture and digital maturity on big data analytics capabilities

IF 7.4 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Journal of Enterprise Information Management Pub Date : 2025-01-21 DOI:10.1108/jeim-03-2024-0159
Maria Orero-Blat, Daniel Palacios-Marqués, Antonio L. Leal-Rodríguez
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Abstract

Purpose

This study aims to explore the factors that influence the development of big data analytics capabilities (BDAC) in organizations, an area that has received limited attention in the academic literature.

Design/methodology/approach

Employing partial least squares structural equation modeling, this research scrutinizes the interconnections between various antecedents and BDAC. Notably, it examines the mediating roles of organizational culture (OC) and digital maturity (DM) in the nexus between managerial data orientation and BDAC.

Findings

Analysis indicates that OC and DM play crucial roles in enhancing the efficacy of managerial data orientation on BDAC. The sequential mediation by these factors underscores the importance of nurturing an appropriate OC and advancing DM to optimize the benefits of managerial data orientation towards BDAC.

Practical implications

The findings bear significant implications for organizational practice. They underscore the necessity of enhancing managerial analytical skills and commitment to digital transformation. Furthermore, the study highlights the critical need for aligning OC with strategic objectives and the digital context. The formulation of a cultural strategy that advocates for a data-driven mindset and champions digital initiatives is essential for fostering BDAC development, thereby bolstering organizational performance and competitiveness in the big data era.

Originality/value

This study enriches the body of literature by illuminating the overlooked antecedents of BDAC. It extends the discourse on the human-centric aspects of digital transformation, offering insights into how managerial data orientation can be effectively translated into improved BDAC. This innovative angle deepens our comprehension of the strategies through which organizations can leverage big data technology for value creation and informed decision-making, emphasizing the pivotal role of OC and the requisite digital competencies and resources.

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编排数字交响曲:数据驱动导向、组织文化和数字成熟度对大数据分析能力的影响
本研究旨在探讨影响组织中大数据分析能力(BDAC)发展的因素,这一领域在学术文献中受到的关注有限。采用偏最小二乘结构方程模型,本研究仔细研究了各种前因和BDAC之间的相互关系。值得注意的是,它考察了组织文化(OC)和数字成熟度(DM)在管理数据导向和BDAC之间的关系中的中介作用。结果分析表明,管理数据导向在提升管理数据导向BDAC效能方面发挥着至关重要的作用。这些因素的顺序中介强调了培养适当的OC和推进DM以优化管理数据导向对BDAC的好处的重要性。实践意义研究结果对组织实践具有重要意义。它们强调了提高管理分析技能和致力于数字化转型的必要性。此外,该研究强调了将OC与战略目标和数字环境相结合的关键需求。制定倡导数据驱动思维和支持数字化举措的文化战略,对于促进BDAC发展至关重要,从而在大数据时代提高组织绩效和竞争力。原创性/价值本研究通过阐明被忽视的BDAC前因,丰富了文献主体。它扩展了以人为中心的数字化转型方面的论述,提供了如何有效地将管理数据导向转化为改进的BDAC的见解。这一创新的角度加深了我们对企业利用大数据技术创造价值和做出明智决策的策略的理解,强调了数据中心的关键作用以及必要的数字能力和资源。
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来源期刊
CiteScore
14.80
自引率
6.20%
发文量
30
期刊介绍: The Journal of Enterprise Information Management (JEIM) is a significant contributor to the normative literature, offering both conceptual and practical insights supported by innovative discoveries that enrich the existing body of knowledge. Within its pages, JEIM presents research findings sourced from globally renowned experts. These contributions encompass scholarly examinations of cutting-edge theories and practices originating from leading research institutions. Additionally, the journal features inputs from senior business executives and consultants, who share their insights gleaned from specific enterprise case studies. Through these reports, readers benefit from a comparative analysis of different environmental contexts, facilitating valuable learning experiences. JEIM's distinctive blend of theoretical analysis and practical application fosters comprehensive discussions on commercial discoveries. This approach enhances the audience's comprehension of contemporary, applied, and rigorous information management practices, which extend across entire enterprises and their intricate supply chains.
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