Integrated Technological Management Through AI Ethics, Mechanical Sustainability, and Emerging Business Models

The rapid rate of technological development necessitates a comprehensive and morally sound framework to guarantee acceptable integration between commercial innovation, mechanical systems, and artificial intelligence (AI). This review article presents a unified approach to integrated technology management by examining the intersection of future business models, mechanical sustainability, and AI ethics. The study emphasizes the significance of matching innovation with long-term environmental and societal objectives by analyzing the ethical ramifications of AI deployment—such as algorithmic bias, transparency, and accountability—as well as developments in sustainable mechanical engineering, such as eco-efficient machinery, lifecycle optimization, and circular manufacturing. Additionally, it explores revolutionary business models that are changing value generation and operational efficiency in the contemporary technology ecosystem, including platform economies, digital twins, decentralized finance (DeFi), and Industry 5.0 frameworks. Cross-sectoral synergies that support scalability, equality, and resilience are given particular attention. In order to balance the ethical use of AI with sustainable engineering methods and progressive entrepreneurship, the assessment also emphasizes the crucial roles that legislative frameworks, data governance, and stakeholder collaboration play. In the end, this integrated viewpoint offers practical advice to academics, politicians, and business executives working to create technology systems that are nimble, sustainable, and responsible in a time of complexity and ongoing innovation.

Authors

Publication Details

Journal
Scholars Journal of Economics Business and Management
Published
2025-07-18
DOI
https://doi.org/10.36347/sjebm.2025.v12i07.001
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrated Technological Management Through AI Ethics, Mechanical Sustainability, and Emerging Business Models

Danish Ali, Tarek Ali, Usman Ali, Qazi Muhammad Osama
Scholars Journal of Economics Business and Management
Ethics and Social Impacts of AI
article

Integrated Technological Management Through AI Ethics, Mechanical Sustainability, and Emerging Business Models

Danish Ali, Tarek Ali, Usman Ali, Qazi Muhammad Osama
article en

Abstract

The rapid rate of technological development necessitates a comprehensive and morally sound framework to guarantee acceptable integration between commercial innovation, mechanical systems, and artificial intelligence (AI). This review article presents a unified approach to integrated technology management by examining the intersection of future business models, mechanical sustainability, and AI ethics. The study emphasizes the significance of matching innovation with long-term environmental and societal objectives by analyzing the ethical ramifications of AI deployment—such as algorithmic bias, transparency, and accountability—as well as developments in sustainable mechanical engineering, such as eco-efficient machinery, lifecycle optimization, and circular manufacturing. Additionally, it explores revolutionary business models that are changing value generation and operational efficiency in the contemporary technology ecosystem, including platform economies, digital twins, decentralized finance (DeFi), and Industry 5.0 frameworks. Cross-sectoral synergies that support scalability, equality, and resilience are given particular attention. In order to balance the ethical use of AI with sustainable engineering methods and progressive entrepreneurship, the assessment also emphasizes the crucial roles that legislative frameworks, data governance, and stakeholder collaboration play. In the end, this integrated viewpoint offers practical advice to academics, politicians, and business executives working to create technology systems that are nimble, sustainable, and responsible in a time of complexity and ongoing innovation.

Scholars Journal of Economics Business and ManagementVol. 12(07)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Ethics and Social Impacts of AI
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