Government Influence on Ai Investment and Energy Leakage Mitigation Technology in Scm: Duality Modeling and Scenario Analysis

32 Pages Posted: 28 Sep 2024

See all articles by Jafar Hussain

Jafar Hussain

Nanchang Institute of Technology

Jifan Ren

affiliation not provided to SSRN

Benjamin Lev

Drexel University

Abstract

This study investigates the economic dynamics within a supply chain management (SCM) involving manufacturers, agents, and retailers. It focuses on strategies to mitigate energy leakage (EL) through the integration of artificial intelligence (AI) technology and  imposition of EL taxes. A simulation-based optimization model is used to find optimal scenarios. We examines the impacts of these interventions on SCM efficiency, profitability. The findings reveal that while the introduction of EL taxes initially increases operational costs, it is also energy efficiency. It recommends for SCM entities to actively invest in AI technology and for governments to impose taxes as a penalty.

Keywords: Energy leakage mitigation, supply chain management, Artificial intelligence, Dual simulation gaming

Suggested Citation

Hussain, Jafar and Ren, Jifan and Lev, Benjamin, Government Influence on Ai Investment and Energy Leakage Mitigation Technology in Scm: Duality Modeling and Scenario Analysis. Available at SSRN: https://ssrn.com/abstract=4970047 or http://dx.doi.org/10.2139/ssrn.4970047

Jafar Hussain (Contact Author)

Nanchang Institute of Technology ( email )

289 Tianxiang Avenue
Nanchang HI-Tech Development Zone
Nanchang, 330099
China

Jifan Ren

affiliation not provided to SSRN ( email )

No Address Available

Benjamin Lev

Drexel University ( email )

3141 Chestnut St
Philadelphia, PA 19104
United States

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