The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape

This study aims to thoroughly investigate how Artificial Intelligence (AI) is strategically integrated into digital marketing practices and its consequential effects on Indonesia’s fiercely competitive business environment. Employing a quantitative research approach, this study meticulously examines...

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Bibliographic Details
Published in:Emerging Science Journal
Main Author: Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
Format: Article
Language:English
Published: Ital Publication 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212483228&doi=10.28991%2fESJ-2024-08-06-012&partnerID=40&md5=54a14be7a3b1bc717afa2568b25e0df1
id 2-s2.0-85212483228
spelling 2-s2.0-85212483228
Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
2024
Emerging Science Journal
8
6
10.28991/ESJ-2024-08-06-012
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212483228&doi=10.28991%2fESJ-2024-08-06-012&partnerID=40&md5=54a14be7a3b1bc717afa2568b25e0df1
This study aims to thoroughly investigate how Artificial Intelligence (AI) is strategically integrated into digital marketing practices and its consequential effects on Indonesia’s fiercely competitive business environment. Employing a quantitative research approach, this study meticulously examines Indonesian enterprises’ prevailing strategies for AI utilization. The research method employed in this study is quantitative, with the unit of analysis being Indonesian companies. The sample size comprises 100 companies selected through the stratified random sampling technique. Analysis of the data is conducted using the SPSS statistical package. Through detailed analysis of survey data and advanced statistical techniques, the research reveals a significant positive correlation between the integration of AI in digital marketing and improved marketing effectiveness. The study highlights a noticeable increase in customer engagement metrics and noteworthy enhancements in conversion rates among businesses proficient in leveraging AI technologies, further reinforcing this correlation. Additionally, the findings suggest that companies embracing AI demonstrate significantly heightened adaptability to the constantly evolving market dynamics, strengthening their competitive positioning. These insightful discoveries underscore the critical importance of harnessing AI’s transformative capabilities within digital marketing strategies to sustain and bolster a competitive edge in the marketplace. Furthermore, the study discusses its contributions to existing knowledge and provides practical implications for marketers and business policymakers in Indonesia. © 2024 by the authors.
Ital Publication
26109182
English
Article
All Open Access; Gold Open Access
author Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
spellingShingle Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
author_facet Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
author_sort Hendrayati H.; Achyarsyah M.; Marimon F.; Hartono U.; Putit L.
title The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
title_short The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
title_full The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
title_fullStr The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
title_full_unstemmed The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
title_sort The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
publishDate 2024
container_title Emerging Science Journal
container_volume 8
container_issue 6
doi_str_mv 10.28991/ESJ-2024-08-06-012
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212483228&doi=10.28991%2fESJ-2024-08-06-012&partnerID=40&md5=54a14be7a3b1bc717afa2568b25e0df1
description This study aims to thoroughly investigate how Artificial Intelligence (AI) is strategically integrated into digital marketing practices and its consequential effects on Indonesia’s fiercely competitive business environment. Employing a quantitative research approach, this study meticulously examines Indonesian enterprises’ prevailing strategies for AI utilization. The research method employed in this study is quantitative, with the unit of analysis being Indonesian companies. The sample size comprises 100 companies selected through the stratified random sampling technique. Analysis of the data is conducted using the SPSS statistical package. Through detailed analysis of survey data and advanced statistical techniques, the research reveals a significant positive correlation between the integration of AI in digital marketing and improved marketing effectiveness. The study highlights a noticeable increase in customer engagement metrics and noteworthy enhancements in conversion rates among businesses proficient in leveraging AI technologies, further reinforcing this correlation. Additionally, the findings suggest that companies embracing AI demonstrate significantly heightened adaptability to the constantly evolving market dynamics, strengthening their competitive positioning. These insightful discoveries underscore the critical importance of harnessing AI’s transformative capabilities within digital marketing strategies to sustain and bolster a competitive edge in the marketplace. Furthermore, the study discusses its contributions to existing knowledge and provides practical implications for marketers and business policymakers in Indonesia. © 2024 by the authors.
publisher Ital Publication
issn 26109182
language English
format Article
accesstype All Open Access; Gold Open Access
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