Lean persuasive design of electronic word-of-mouth (e-WOM) indexes for e-commerce stores based on fogg behavior model

Li, Shugang; Liu, Fang; Zhang, Yuqi; Yu, Zhaoxu

doi:10.1007/s10660-023-09753-x

Electron Commer Res

2023

DOI: 10.1007/s10660-023-09753-x

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Lean persuasive design of electronic word-of-mouth (e-WOM) indexes for e-commerce stores based on fogg behavior model

Shugang Li,

Fang Liu,

Yuqi Zhang

et al.

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2024

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Cited by 2 publications

References 52 publications

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Improving stock market prediction accuracy using sentiment and technical analysis

Agrawal,

Kumar,

Rathee

et al. 2024

Electron Commer Res

View full text Add to dashboard Cite

Improving stock market prediction accuracy using sentiment and technical analysis

Agrawal,

Kumar,

Rathee

et al. 2024

Electron Commer Res

View full text Add to dashboard Cite

Exploring the mediating role of attitude in ESG investment intentions: insights from the Fogg behavior model

Wang,

Hu,

Chen

2024

IMDS

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PurposeWith the growing global emphasis on environmental, social and governance (ESG) criteria, it is crucial to investigate the factors that influence individuals' intentions to invest in ESG and to understand the underlying mechanisms at play. This study constructs a theoretical model, grounded in the Fogg behavioral model (FBM), and explores the mediating role of ESG investment attitudes in shaping individuals' ESG investment behaviors.Design/methodology/approachA survey was conducted among ESG investors and potential ESG investors in China, resulting in 613 valid responses regarding ESG investment. The partial least squares structural equation modeling (PLS-SEM) approach was utilized to evaluate the proposed model and test the hypotheses.FindingsThe results reveal that future orientation, ESG investment bias and perceived ESG investment performance are significant determinants of ESG investment intentions, with attitude playing a partially mediating role. Furthermore, government support moderates the relationship between perceived ESG investment performance and investment intention.Originality/valueThis study expands the application of the FBM to the context of ESG investment and introduces a novel conceptual framework for understanding ESG investment behavior. The findings provide valuable insights for enterprises and institutions involved in ESG investment, aiding them in identifying and targeting potential investors more effectively. Additionally, the study offers a foundation for policymakers to devise strategies that promote sustainable development.

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Lean persuasive design of electronic word-of-mouth (e-WOM) indexes for e-commerce stores based on fogg behavior model

Cited by 2 publications

References 52 publications

Improving stock market prediction accuracy using sentiment and technical analysis

Improving stock market prediction accuracy using sentiment and technical analysis

Exploring the mediating role of attitude in ESG investment intentions: insights from the Fogg behavior model

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