Using Artificial Intelligence for Quantifying Strategic Business-IT Alignment

Bassel Diab
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引用次数: 2

Abstract

This paper aims to test an artificial model and a calculator the author developed based on deep learning, Neural Networks, and machine learning, Random Forest. The “Diab BITA Model” and the “Diab Calculator” are generated to enable organizations of any size and in any industry, of calculating the value of Strategic Business-IT Alignment (BITA) following a scale of 7 degrees. Principally, the same sample of one of his previous papers is addressed in which top Managers subjectively assessed the BITA maturity; the current paper targets to empirically prove the accuracy of managers’ perceptions using both the model and the calculator. Findings show an 89% accuracy rate in estimating those organizations’ BITA levels using the model and 92% using the calculator.
使用人工智能量化战略业务- it一致性
本文旨在测试作者基于深度学习、神经网络和机器学习、随机森林开发的人工模型和计算器。生成了“Diab BITA模型”和“Diab计算器”,使任何规模和任何行业的组织都能够按照7度的比例计算战略业务- it对齐(BITA)的价值。主要是,在他之前的一篇论文中,高层管理人员主观地评估了BITA的成熟度;本文的目标是利用模型和计算器来实证证明管理者感知的准确性。研究结果显示,使用该模型估计这些组织的BITA水平的准确率为89%,使用计算器的准确率为92%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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