Impacts of Specific Big Data Capabilities on Large-Scale Group Decision-Making Characteristics

Arafat Salih Aydiner () and Subeyte Taskin ()
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Arafat Salih Aydiner: Istanbul Medeniyet University
Subeyte Taskin: Participation Finance Surety Inc.

Group Decision and Negotiation, 2025, vol. 34, issue 5, No 7, 1185-1210

Abstract: Abstract The future of management emphasizes sharing responsibilities and rights with all stakeholders. This study examines the relationship between technical and administrative capabilities, which are key components of big data analytics—fundamental components of big data analytics- and characteristics of large-scale group decision-making, such as preference structure and group decision rules. Employing a quantitative methodology, the research proposes a conceptual model based on dynamic capability and stakeholder theory. This model assesses the impact of big data analytics` technical capability on large-scale group decision-making, with administrative capability acting as a mediator. The data was collected from 240 professionals across various industries in Turkey that implementing big data analytics in large-scale decision-making environments. The findings reveal that there is a positive relationship between big data analytics technical capability and administrative capability. Moreover, big data analytics administrative capability enhances both the large-scale group decision-making preference structure and the group decision rules characteristics. The results also confirm that big data analytics administrative capability positively mediates the relationships between technical capability and characteristics of large-scale group decision-making preference structure and group decision rules.

Keywords: Big data analytics technical capability; Big data analytics administrative capability; Large-scale group decision-making preference structure; Large-scale group decision-making group decision rules; Dynamic capability; Stakeholder theory (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10726-025-09947-8

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