Using Artificial Intelligence for Quantifying Strategic Business-It Alignment

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Using Artificial Intelligence for Quantifying Strategic Business-It Alignment

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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.

References

7 Cites in Article
  1. Lakshman Bulusu,Rosendo Abellera (2020). AI and AI-Powered Analytics.
  2. M Edmead (2016). IT Convergence Factor.
  3. (2020). Unknown Title.
  4. J Henderson,H Venkatraman (1993). Strategic alignment: Leveraging information technology for transforming organizations.
  5. M Iansiti,K Lakhani (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world.
  6. A Oppermann (2019). ac 7. What is the COBIT Framework: Benefits and Components.
  7. Ion Smeureanu,Bassel Diab (2019). Modeling the Impact of Information System on Organizational Culture and Business-IT Strategic Alignment.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

bassel_diab. 2021. \u201cUsing Artificial Intelligence for Quantifying Strategic Business-It Alignment\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 21 (GJMBR Volume 21 Issue A1): .

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Issue Cover
GJMBR Volume 21 Issue A1
Pg. 57- 64
Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords
Classification
GJMBR-A Classification: JEL Code: C45, M15, D83
Version of record

v1.2

Issue date

January 29, 2021

Language
en
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Published Article

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.

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Using Artificial Intelligence for Quantifying Strategic Business-It Alignment

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