چکیده مقاله
Environmental sustainability has become a strategic imperative for organizations due to increasing regulatory pressures, resource scarcity, and stakeholder expectations Green Supply Chain Management GSCM has emerged as a comprehensive approach to integrate environmental considerations into procurement, production, logistics, and reverse logistics processes At the same time, Artificial Intelligence AI is reshaping modern supply chains through advanced analytics, machine learning, predictive modeling, and automation This study examines the impact of AI adoption on GSCM performance using a quantitative, survey based approach Data were collected from ۲۲۰ supply chain professionals across manufacturing, logistics, and service industries The research model was tested using SPSS software through reliability analysis Cronbach’s Alpha , Pearson correlation, and simple linear regression The findings indicate that AI adoption has a significant positive effect on GSCM performance β = ۰ ۵۸, p < ۰ ۰۰۱ Furthermore, AI contributes to improved environmental performance through waste reduction, optimized energy consumption, enhanced demand forecasting accuracy, and improved decision making efficiency The study highlights the strategic importance of AI in achieving sustainable supply chain transformation and provides practical implications for managers and policymakers seeking to enhance environmental sustainability through digital technologies
کلیدواژهها
نویسندگان
شیوه ارجاع
Nosrati، Maryam و Khalili Araghi، Maryam،1405،The impact of artificial intelligence on the performance of green supply chain management: an empirical study using spss،دوازدهمین کنفرانس بین المللی و سیزدهمین کنفرانس ملی یافته های نوین در مدیریت، روان شناسی و حسابداری،تهران
ارائهشده در
مجموعه مقالات دوازدهمین کنفرانس بین المللی و سیزدهمین کنفرانس ملی یافته های نوین در مدیریت، روان شناسی و حسابداری31 اردیبهشت 1405 · تهران