Developing brand sustainability strategy using AI as a powerful tool in auto industry

Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.

Authors

Publication Details

Journal
Uncertain Supply Chain Management
Published
2024-12-26
DOI
https://doi.org/10.5267/j.uscm.2024.10.008
Citations
1
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.49
Controls
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article

Developing brand sustainability strategy using AI as a powerful tool in auto industry

Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani
1 citations
Uncertain Supply Chain Management
Impact of AI and Big Data on Business and Society
0.49
article

Developing brand sustainability strategy using AI as a powerful tool in auto industry

Ahmad Al Adwan, Ghaiath Altrjman, Lu’ay Al-Mu’ani
article en
1 citations

Abstract

Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.

Uncertain Supply Chain ManagementVol. 13(4)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Impact of AI and Big Data on Business and Society
0.49
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Developing brand sustainability strategy using AI as a powerful tool in auto industry — Ahmad Al Adwan, Ghaiath Altrjman, et al. · Uncertain Supply Chain Management (2024) | TGRS Research Map | TGRS