Beyond Automation: How AI Service Integration is Shaping the Future of Brand Management

Background: The emergence of Artificial Intelligence (AI) in the service sector, catalyzed by Industry 4.0, has dramatically transformed customer-brand interactions. AI-powered tools enable personalized engagement, providing brands with a competitive edge. Objective: This study investigates the impact of AI-powered service integration on brand management, addressing gaps in current literature and exploring how AI influences customer-brand relationships. Methods: A comprehensive literature review was conducted using keywords related to AI, brands, and brand management. The search focused on recent peer-reviewed publications examining AI in the context of the service sector. These studies were critically analyzed to assess AI’s effects on brand management elements, including customer engagement, loyalty, and brand personality. Results: The review showed that AI positively affects brand image, customer engagement, brand loyalty, and customer-brand relationships, especially in industries like hospitality and retail. Key technologies include chatbots, robots, voice assistants, and digital assistants. However, gaps remain in empirical validation and sectoral diversity. Conclusions: AI offers significant opportunities for enhancing brand management, but further research is needed to address its potential drawbacks, such as customer mistrust and privacy concerns, and to explore its applicability across different sectors.

Authors

Publication Details

Journal
Management Dynamics
Published
2024-11-28
DOI
https://doi.org/10.57198/2583-4932.1339
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond Automation: How AI Service Integration is Shaping the Future of Brand Management

Nusaiba Begum
1 citations
Management Dynamics
Impact of AI and Big Data on Business and Society
0.49
article

Beyond Automation: How AI Service Integration is Shaping the Future of Brand Management

Nusaiba Begum
article en
1 citations

Abstract

Background: The emergence of Artificial Intelligence (AI) in the service sector, catalyzed by Industry 4.0, has dramatically transformed customer-brand interactions. AI-powered tools enable personalized engagement, providing brands with a competitive edge. Objective: This study investigates the impact of AI-powered service integration on brand management, addressing gaps in current literature and exploring how AI influences customer-brand relationships. Methods: A comprehensive literature review was conducted using keywords related to AI, brands, and brand management. The search focused on recent peer-reviewed publications examining AI in the context of the service sector. These studies were critically analyzed to assess AI’s effects on brand management elements, including customer engagement, loyalty, and brand personality. Results: The review showed that AI positively affects brand image, customer engagement, brand loyalty, and customer-brand relationships, especially in industries like hospitality and retail. Key technologies include chatbots, robots, voice assistants, and digital assistants. However, gaps remain in empirical validation and sectoral diversity. Conclusions: AI offers significant opportunities for enhancing brand management, but further research is needed to address its potential drawbacks, such as customer mistrust and privacy concerns, and to explore its applicability across different sectors.

Management DynamicsVol. 25(1)
Openalex Percentile: Top 28%
Impact of AI and Big Data on Business and Society
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.