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Abstract
Enhancing a website's persuasiveness and improving users' satisfaction and intention are critical for companies and website designers. Based on the Fogg Behavior Model (FBM), this study explores the perspective of persuasive technology in the context of a website. We identify and design two types of persuasive features: a visual-preview feature and an information-sidedness feature. We propose that websites with these persuasive features are perceived as more persuasive than their counterparts. We further propose that website persuasiveness is positively related to user satisfaction and behavior intention. Data collected from an experimental study lend support to our hypotheses. Theoretical contribution and managerial implications of this study are discussed. © 2024 Published by Elsevier B.V.
| Original language | English |
|---|---|
| Article number | 114361 |
| Journal | Decision Support Systems |
| Volume | 188 |
| Online published | 1 Nov 2024 |
| DOIs | |
| Publication status | Published - Jan 2025 |
Funding
We wish to thank the editor-in-chief, Andrew Chen, and two anonymous reviewers who provided valuable comments and suggestions throughout the review process. This research was partially supported by the National Science and Technology Council of Taiwan [Grant 113-2628-H-002-019, 111-2423-H-002-010-MY4, 113-2410-H-259-062-MY2], the Hong Kong Research Grants Council and City University of Hong Kong [Project No. CityU 11509223/9043616], City University of Hong Kong [Project No. 9231511], and Shenzhen Science and Technology Program (Grant No. JCYJ20220530112800001 and No. 2021CX020219).
Research Keywords
- Fogg behavior model (FBM)
- Human-computer persuasion
- Information-sidedness
- Perceived website persuasiveness
- Persuasive technology
- Visual-preview
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2024 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
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GRF: Enhancing Diagnosticity and Credibility of Healthcare Information in Websites through Integrating Multiple Information Sources: Impact of Prior Beliefs and Consistency of Different Information Sources
SIA, C. L. (Principal Investigator / Project Coordinator), NAH, F. H. (Co-Investigator), Peng, C.-H. (Co-Investigator) & SIAU, K. L. (Co-Investigator)
1/01/24 → …
Project: Research