Integrating Informatics and Business Administration: Bridging the Gap for Developed Organizational Performance

In today's business environment, organizations face the twin challenge of managing large amounts of data to ensure effective and strategic decision making. This paper addresses the problem of integrating information science and business management, which is particularly challenging due to the specific nature of these industries. The main objective of this study is to investigate the interplay between AI Solutions and business processes and to show how their integration can enhance organizational performance. This paper tests the issues, key elements, and basic principles of marketing management in practice, by adopting company and By Analysis of training programs and the concept of reporting steps. The contributions of these studies are twofold. Firstly, it affords empirical proof helping theoretical fashions like Socio-Technical Systems (STS) theory, the Technology Acceptance Model (TAM), and Contingency Theory, thereby improving the instructional expertise of informatics and commercial enterprise management integration. Secondly, it gives realistic suggestions for corporations in search of to acquire stepped forward decision-making, operational efficiency, and innovation via integration. The consequences show that corporations that efficaciously combine informatics and commercial enterprise management can acquire great benefits, which includes a 15% discount in operational costs, a 25% growth in patron satisfaction, and a 30% development in danger evaluation accuracy. These findings underscore the significance of strategic planning, cross-purposeful collaboration, and non-stop ability improvement in using hit integration and improving organizational performance.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836615
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Integrating Informatics and Business Administration: Bridging the Gap for Developed Organizational Performance

Mahmoud Mahfuri, Ahmed Dheyaa Radhi, Rasha Almajed, Mayasa M. Abdulrahman et al.
Big Data and Business Intelligence
article

Integrating Informatics and Business Administration: Bridging the Gap for Developed Organizational Performance

Mahmoud Mahfuri, Ahmed Dheyaa Radhi, Rasha Almajed, Mayasa M. Abdulrahman, Ahmed Abdel Qader Ismail Alnajem, Abdulrazak A. Abdulrazak Al-Kubaisi
article en

Abstract

In today's business environment, organizations face the twin challenge of managing large amounts of data to ensure effective and strategic decision making. This paper addresses the problem of integrating information science and business management, which is particularly challenging due to the specific nature of these industries. The main objective of this study is to investigate the interplay between AI Solutions and business processes and to show how their integration can enhance organizational performance. This paper tests the issues, key elements, and basic principles of marketing management in practice, by adopting company and By Analysis of training programs and the concept of reporting steps. The contributions of these studies are twofold. Firstly, it affords empirical proof helping theoretical fashions like Socio-Technical Systems (STS) theory, the Technology Acceptance Model (TAM), and Contingency Theory, thereby improving the instructional expertise of informatics and commercial enterprise management integration. Secondly, it gives realistic suggestions for corporations in search of to acquire stepped forward decision-making, operational efficiency, and innovation via integration. The consequences show that corporations that efficaciously combine informatics and commercial enterprise management can acquire great benefits, which includes a 15% discount in operational costs, a 25% growth in patron satisfaction, and a 30% development in danger evaluation accuracy. These findings underscore the significance of strategic planning, cross-purposeful collaboration, and non-stop ability improvement in using hit integration and improving organizational performance.

Abu Dhabi University (AE), University of Baghdad (IQ), Baghdad College of Economic Sciences University (IQ), International University for Science and Technology (SY)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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