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

Autor: Amani Abu Rumman, Lina Al-Abbadi
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cogent Business & Management, Vol 10, Iss 2 (2023)
Druh dokumentu: article
ISSN: 23311975
2331-1975
DOI: 10.1080/23311975.2023.2215060
Popis: AbstractAs 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.
Databáze: Directory of Open Access Journals
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