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Big Data Backed Business Intelligence to Upthrust Commercial Banks Decision-Making Processes

Abeer Sultan AltarawnehDepartment of Business Administration, Faculty of Business, Amman Arab University, JordanHasan Khaled AlawamlehDepartment of Business Administration, Al Balqa Applied University, Amman University College, JordanFawwaz Tawfiq AwamlehDepartment of Business Administration, Faculty of Business, Amman Arab University, JordanAla Nihad BustamiUniversity of Glasgow, Glasgow, UK

2025en

ABI

Annotatsiya

Using business intelligence-backed big data leverages the decision-making processes in Jordanian commercial banks. The current study aimed to look into the consequence of using big data to upthrust the link between business intelligence and decision-making processes within Jordanian commercial banks. The study sample comprises 1600 employees from all levels in the 12 Commercial Banks in Jordan. Based on a random sampling of 371 questionnaires that were spread, (94.8%) of the total questionnaires were found fit for the analysis. This study utilized AMOS as a tool to examine the collected data. This study’s results revealed that big data, business intelligence and decision-making processes are interrelated and significantly affect each other in Jordanian commercial banks. The current study results recommend banks in Jordan to devote more investment in big data infrastructure and also take measures to boost the abilities of personnel in analyzing and utilizing innovative data technology. Also, this study recommends researchers investigate other related factors that affect the relationship between the current study’s concepts.

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Identifikatorlar

DOI: 10.32479/irmm.17709

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