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An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB

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  • Yang Chen

    (College of Humanities and Social Sciences, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China)

Abstract

Sustainable development is a common challenge for all. Under this background, how to promote public participation in environmental communication has become an important topic. The purpose of this study is to understand the motivating mechanism behind Chinese WeChat users’ environmental information-sharing behavior by taking China’s unique social and cultural background into account. A comprehensive theoretical model for this study is constructed based on the uses and gratification theory, the norm activation model, and the theory of planned behavior. Through an online survey, data were collected from 526 participants to test the research model. The research results show that Chinese WeChat users’ environmental information-sharing behavior is motivated by both egoistic factors (self-presentation, information seeking, and socializing) and altruistic factors (awareness of consequences and ascription of responsibility). During the behavioral decision-making process, these motivating factors impact people’s actual sharing behavior via their attitudes toward the behavior, subjective norms, personal norms, and behavioral intention in various patterns. The findings are discussed from an interdisciplinary perspective of media usage, prosocial behavior, and behavioral psychology. This article not only proposes a new conceptual framework to explain social media users’ behavior of sharing environmental information but also provides important theoretical and practical implications regarding motivating public participation in environmental communication on social media.

Suggested Citation

  • Yang Chen, 2020. "An Investigation of the Influencing Factors of Chinese WeChat Users’ Environmental Information-Sharing Behavior Based on an Integrated Model of UGT, NAM, and TPB," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2710-:d:338883
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    Cited by:

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    2. Naihui Wang & Yulong Pei & Yi-Jia Wang, 2022. "Antecedents in Determining Users’ Acceptance of Electric Shuttle Bus Services," Mathematics, MDPI, vol. 10(16), pages 1-19, August.

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