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The Impact of Artificial Intelligence Implementation on Companies Economic Performance.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Impact of Artificial Intelligence Implementation on Companies Economic Performance./
Author:	Wimoolka, Saengphen.
Description:	1 online resource (304 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Contained By:	Dissertations Abstracts International84-11B.
Subject:	Systems science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30419524click for full text (PQDT)
ISBN:	9798379488093

The Impact of Artificial Intelligence Implementation on Companies Economic Performance.
Wimoolka, Saengphen.

The Impact of Artificial Intelligence Implementation on Companies Economic Performance. - 1 online resource (304 pages)

Source: Dissertations Abstracts International, Volume: 84-11, Section: B.

Thesis (D.B.A.)--Westcliff University, 2022.

Includes bibliographical references

This research investigated the impact of Artificial Intelligence implementation on companies' economic performance. This research aimed to verify outcomes from implementing AI and identify factors that compelled and prevented companies from adopting AI in their businesses in three industries: technology, manufacturing, and retail. The explanatory sequential mixed method was used for collection and analysis. Data was first collected quantitatively using an Ex Post Facto design. SPSS and EViews were used to assist in analyzing the data. The multiple linear regression was applied with revenue, return on asset, and return on equity as dependent variables. Implementing or not implementing AI was an independent variable while considering the corporate size and industry type as control variables. The qualitative method was used in the second phase with a case study design. The triangulation, pilot test, and saturation methods were used to determine the sample size and ensure the research's reliability and validity. Nvivo software, content analysis, and thematic analysis were utilized to identify codes and themes. The quantitative method's findings indicated a statistically significant impact of AI implementation on the companies' revenues, ROA, and ROE. In addition, AI implementation was a significant predictor of revenue, ROA, and ROE over time, and there was a time lag in AI implementation in terms of ROA and ROE. The qualitative findings confirmed that AI implementation impacted revenue and there was no time lag in revenue. The findings of this research may lead to a better understanding of AI's benefits in business and prevent companies from missing business opportunities. The productivity and age of the company were suggested as areas for further investigation.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379488093Subjects--Topical Terms:

3168411
Systems science.
Subjects--Index Terms:

Companies' revenuesIndex Terms--Genre/Form:

542853
Electronic books.

The Impact of Artificial Intelligence Implementation on Companies Economic Performance.
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520 $a This research investigated the impact of Artificial Intelligence implementation on companies' economic performance. This research aimed to verify outcomes from implementing AI and identify factors that compelled and prevented companies from adopting AI in their businesses in three industries: technology, manufacturing, and retail. The explanatory sequential mixed method was used for collection and analysis. Data was first collected quantitatively using an Ex Post Facto design. SPSS and EViews were used to assist in analyzing the data. The multiple linear regression was applied with revenue, return on asset, and return on equity as dependent variables. Implementing or not implementing AI was an independent variable while considering the corporate size and industry type as control variables. The qualitative method was used in the second phase with a case study design. The triangulation, pilot test, and saturation methods were used to determine the sample size and ensure the research's reliability and validity. Nvivo software, content analysis, and thematic analysis were utilized to identify codes and themes. The quantitative method's findings indicated a statistically significant impact of AI implementation on the companies' revenues, ROA, and ROE. In addition, AI implementation was a significant predictor of revenue, ROA, and ROE over time, and there was a time lag in AI implementation in terms of ROA and ROE. The qualitative findings confirmed that AI implementation impacted revenue and there was no time lag in revenue. The findings of this research may lead to a better understanding of AI's benefits in business and prevent companies from missing business opportunities. The productivity and age of the company were suggested as areas for further investigation.
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653 $a Business opportunities
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