نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
Small and medium enterprises (SMEs) encounter significant challenges in digital transformation during various crises, including economic shocks and supply chain disruptions. This research develops an integrated sustainability and resilience model for smart technology implementation in SMEs under crisis conditions. The methodology employs an innovative combination of Real Options Theory (ROT) with Deep Reinforcement Learning (DRL) algorithms. Through an exploratory-analytical study, data from 85 small enterprises were collected and analyzed. Fifteen key criteria affecting the sustainability and resilience of smart technology implementation were identified and categorized into organizational factors, technological characteristics, and environmental factors. Structural equation modeling was utilized to analyze relationships between these criteria and mediating variables of technology absorption capacity and change management capability. Real options modeling was conducted using the binomial tree method, followed by the development of a reinforcement learning model to optimize smart technology implementation strategies. Results demonstrate that smart technologies with high scalability, adaptability, and operational efficiency exhibit greater implementation success during crisis conditions, with Internet of Things achieving the highest adoption rate among examined technologies. The proposed model predicts smart technology implementation success under crisis conditions with 89.2% accuracy. This research provides a decision support system enabling enterprise managers to formulate sustainable and resilient strategies for smart technology implementation under severe uncertainty conditions.
کلیدواژهها English
Copyright © Mehdi Namdarzadegan, Ali Bozorgi-Amiri
License
This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.
