EconPapers    
Economics at your fingertips  
 

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

Amani Abu Rumman and Lina Al-Abbadi

Cogent Business & Management, 2023, vol. 10, issue 2, 2215060

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.

Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2023.2215060 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:oabmxx:v:10:y:2023:i:2:p:2215060

Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20

DOI: 10.1080/23311975.2023.2215060

Access Statistics for this article

Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar

More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:oabmxx:v:10:y:2023:i:2:p:2215060