smart consumption

The purpose of this research is to present a model based on media and social networks in the management of intelligent electricity consumption. According to its purpose, the research method is practical, quantitative in terms of implementation, exploratory in nature, and cross-sectional in terms of time. The statistical population of the research includes 179 of all the people who were connected with the electricity company and its activities during the last week and in social networks, who were selected by random sampling. A standard questionnaire was used to collect data. The face and content validity of the questionnaire was confirmed through confirmatory factor analysis, data analysis was done using SPSS and Lisrel software. The results of this research indicate the existence of six variables; which has two parts: antecedents (social networks) and consequences (word of mouth advertising, brand loyalty, intelligence and social knowledge) in the field of smart consumption management. Also, the GOF index was obtained as 0.88, which shows the strong fit of the model.