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Structural equation modeling for impact of Data Fabric Framework on business decision-making and risk management

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  • Amani Abu Rumman
  • Lina Al-Abbadi

Abstract

As the concept of Big Data takes hold in the corporate world, modern businesses are making concerted efforts to manage data silos in advance of centralized data management. The multi-cloud structure of the data fabric provides a realistic approach to managing various forms of data. This study explores how data fabric, which is a useful way of organizing data, affects decision-making and risk assessment through Structural Equation Modeling (SEM) using IBM AMOS software. The study collected data from 200 respondents, representing a 67% response rate, out of 300 management experts in Amman-Jordan who conditionally agreed to participate in the research. The study finds a positive relationship between data fabric and decision-making, data fabric, and risk management. The findings of this study suggest that strengthening the relationships between data fabric, decision-making, and risk management can play a critical role in fostering successful decision-making for crucial elements and risk management in crises, ultimately contributing to the overall success of the business.

Suggested Citation

  • Amani Abu Rumman & Lina Al-Abbadi, 2023. "Structural equation modeling for impact of Data Fabric Framework on business decision-making and risk management," Cogent Business & Management, Taylor & Francis Journals, vol. 10(2), pages 2215060-221, December.
    • Handle: RePEc:taf:oabmxx:v:10:y:2023:i:2:p:2215060
    DOI: 10.1080/23311975.2023.2215060
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    Cited by:

    1. Ivo Blohm & Felix Wortmann & Christine Legner & Felix Köbler, 2024. "Data products, data mesh, and data fabric," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(5), pages 643-652, October.

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