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Stela Stoykova and Nikola Shakev
The aim of this paper is to present a systematic literature review of the existing research, published between 2006 and 2023, in the field of artificial intelligence for management information systems. Of the 3946 studies that were considered by the auth...
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Ramakolote Judas Mositsa, John Andrew Van der Poll and Cyrille Dongmo
Business intelligence (BI) refers to technologies, tools, and practices for collecting, integrating, analyzing, and presenting large volumes of information to enable improved decision-making. A modern BI architecture typically consists of a data warehous...
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Yili Chen, Congdong Li and Han Wang
Big data technology and predictive analytics exhibit advanced potential for business intelligence (BI), especially for decision-making. This study aimed to explore current research studies, historic developing trends, and the future direction. A bibliogr...
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Ashraf Bany Mohammad, Manaf Al-Okaily, Mohammad Al-Majali and Ra?ed Masa?deh
This study aims to examine the factors that influence business intelligence and analytics (BIA) usage in the banking sector. Based on a comprehensive literature review, a theoretical model was developed to explore the impact of three key factors on busin...
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David Orrego Granados, Jonathan Ugalde, Rodrigo Salas, Romina Torres and Javier Linkolk López-Gonzales
The academic success of university students is a problem that depends in a multi-factorial way on the aspects related to the student and the career itself. A problem with this level of complexity needs to be faced with integral approaches, which involves...
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Andrés Redchuk and Federico Walas Mateo
This article took the case of the adoption of a Machine Learning (ML) solution in a steel manufacturing process through a platform provided by a Canadian startup, Canvass Analytics. The content of the paper includes a study around the state of the art of...
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Athira Nambiar and Divyansh Mundra
Data is the lifeblood of any organization. In today?s world, organizations recognize the vital role of data in modern business intelligence systems for making meaningful decisions and staying competitive in the field. Efficient and optimal data analytics...
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Mohammad Daradkeh
The heterogeneity and diversity of users and external knowledge resources is a hallmark of open innovation communities (OICs). Although user segmentation in heterogeneous OICs is a prominent and recurring issue, it has received limited attention in open ...
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Mohammad Daradkeh
This study aims to examine and compare the mechanisms through which social learning processes influence the knowledge contribution behavior of lurkers and contributors in open innovation communities (OICs). Based on social learning theory and stimulus?or...
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Anbesh Jamwal, Rajeev Agrawal, Monica Sharma and Antonio Giallanza
Recent developments in manufacturing processes and automation have led to the new industrial revolution termed ?Industry 4.0?. Industry 4.0 can be considered as a broad domain which includes: data management, manufacturing competitiveness, production pro...
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