Using Bayesian Structural Equation Modeling in the impact of consumer attitudes and awareness on Intention to Participate in Electronic Waste Collection System

Subject Areas : waste

Fereshteh Hatam ¹ , Reza Najafbagy ² , MohammadJavad Kameli ³

1 - Governmental Management PhD student, Faculty of Management and Economics, Islamic Azad University, Science and Research Branch, Tehran, Iran.
2 - Governmental Management Professor, Faculty of Management and Economics, Islamic Azad University, Science and Research Branch, Tehran, Iran. *(Corresponding Author)
3 - Human Resource Management Assistant Professor, Amin Faculty of Police Sciences, Tehran, Iran.

Received: 2020-09-27 Accepted : 2021-05-08 Published : 2022-03-21

Keywords: E-waste, Environmental knowledge, mental norm,

Abstract :

Background and Objective: Waste and municipal waste management is a major concern in any society and in this regard, the role and participation of citizens is very important. The purpose of this study is to design a model for impact of consumer attitude and awareness on the intention to participate in the electronic waste collection system.Material and Methodology: The present study is an applied study in terms of purpose and a case study in terms of method.After extracting the structures from theoretical foundations and articles, to finalize them from 25 people Experts were consulted. Also, to validate the research model, a sample of 384 citizens of Tehran was selected. A standard questionnaire with a reliability of 0/968 was used to collect data. The model validation method is Bayesian structural equations which was implemented in AMOS 26 software.Findings: Findings showed that environmental factors, mental norm, economic stimulus,infrastructure and attitude from Yang Ko et al. (2017) model are effective on citizens' participationintention. Also, the variables of personal education, responsibility and publicity that were identifiedfrom the article of Tavakoli Nia et al. (2017) were approved by experts. Among the identified factors,the highest impact was related to environmental factors with an impact rate of about 85%.Discussion and Conclusion: The results show that environmental factors, mental norms and attitudesaffect the infrastructure and economic stimulus and also through these two variables affect theintention of citizen participation and have an indirect effect. Finally, publicity and accountabilitythrough environmental factors influence the intention of citizen participation. In addition, the resultsshow that the infrastructure facilitates the conversion of subjective norms and attitudes to intentions,which shows that lack of access to electronic waste collection infrastructure, reduces the impact ofsubjective norms and attitudes on intention.

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