investigating the impact of internet of things and artificial intelligence on environmental sustainability performance (case study: hotel industry)

Artificial intelligence enhances energy infrastructure efficiency, reduces waste in distributed energy systems, and ensures long-term durability. additionally, green internet of things technology is positively linked to green innovation practices promoting sustainability. in this context, the primary objective of this study is to examine the impact of the internet of things and artificial intelligence on environmental sustainability performance, considering the mediating influence of green supply chain management within the hotel industry. this study is designed as applied research, and the data collection method is descriptive and correlational. the statistical population comprises hotel managers in urmia city, with a sample size of 34 hotels determined using krejcie and morgan and cohen tables. sixty-four questionnaires were distributed among hotel managers in urmia city. a standard questionnaire, validated by experts, was used to collect data. its reliability was estimated using cronbach’s alpha coefficient. structural equation modeling was used for data analysis, revealing that the internet of things and artificial intelligence positively impact green supply chain management. furthermore, a positive relationship was observed between green supply chain management practices and environmental sustainability performance. this study suggests that adopting the internet of things and artificial intelligence technologies can enhance the efficiency of green supply chain management processes, emphasizing the importance for managers to grasp the impact of these two emerging technologies on overall supply chain performance.

investigating the impact of internet of things and artificial intelligence on environmental sustainability performance (case study: hotel industry)

artificial intelligence enhances energy infrastructure efficiency, reduces waste in distributed energy systems, and ensures long-term durability. additionally, green internet of things technology is positively linked to green innovation practices promoting sustainability. in this context, the primary objective of this study is to examine the impact of the internet of things and artificial intelligence on environmental sustainability performance, considering the mediating influence of green supply chain management within the hotel industry. this study is designed as applied research, and the data collection method is descriptive and correlational. the statistical population comprises hotel managers in urmia city, with a sample size of 34 hotels determined using krejcie and morgan and cohen tables. sixty-four questionnaires were distributed among hotel managers in urmia city. a standard questionnaire, validated by experts, was used to collect data. its reliability was estimated using cronbach’s alpha coefficient. structural equation modeling was used for data analysis, revealing that the internet of things and artificial intelligence positively impact green supply chain management. furthermore, a positive relationship was observed between green supply chain management practices and environmental sustainability performance. this study suggests that adopting the internet of things and artificial intelligence technologies can enhance the efficiency of green supply chain management processes, emphasizing the importance for managers to grasp the impact of these two emerging technologies on overall supply chain performance.