连续性
结构方程建模
业务
计划行为理论
背景(考古学)
怀疑论
心理学
环境经济学
营销
计算机科学
社会心理学
地理
经济
人工智能
认识论
机器学习
哲学
考古
控制(管理)
作者
Muhammad Ashfaq,Qingyu Zhang,Fayaz Ali,Abdul Waheed,Shahid Nawaz
标识
DOI:10.1016/j.jclepro.2021.127394
摘要
Growing green plants can enrich the natural environment and benefit society in many ways. With this in mind, a new Ant Forest mobile gaming application was launched in China by Alipay, which is embedded in the Alipay application. Since Ant Forest is entirely a new green behavior phenomenon—of a type rarely studied in the literature—we explore users’ attitudes toward Ant Forest and their continued use intentions toward it with the moderating role of environmental knowledge based on behavioral reasoning theory (BRT). A quantitative approach using structural equation modeling and SmartPLS 3 was employed. Analysis of data collected from 293 actual Ant Forest users divulges that the user values significantly influence “reasons for” (RF), “reasons against” (RA), and attitude toward Ant Forest. Similarly, both RF (environmental benefits, social influence, hedonic motivation, and convenience) and RA (privacy concerns, usage barrier, and green skepticism) affect attitude and intention to continue using Ant Forest. The results also show that environmental knowledge moderates the effects of attitude on continuance intention. Theoretically, this study contributes to the literature on Ant Forest and BRT in the context of green behavior. Practically, our findings bring essential insights for the enterprises and governments who want to promote green and low-carbon societies.
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