Volume 14, Number 1, June 2024
| Application of the Information Adoption Model and Technology Acceptance Model in Electronic Word-of-Mouth |
Tzu-Lan Tseng 1*, Cheng-Chieh Wu 2
Abstract
Electronic word-of-mouth (eWOM) plays a critical role in shaping consumer purchase intentions and behavior in the realm of electronic commerce. This study analyzes data from 38 research papers using structural equation modeling (SEM) and partial least squares SEM (PLS-SEM). The results reveal that the perceived usefulness and credibility of eWOM significantly impact behavioral intentions. Furthermore, the study underscores the varying effects of different e-commerce platforms and social networking sites on adoption intention. A meta-analysis was also conducted to synthesize these findings, highlighting eleven key variables—Quality, Credibility, Perceived Usefulness, Perceived Ease of Use, Trust, Reputation, eWOM, Attitude, Intention, Satisfaction, and Adoption—and correlations among 916 data points that are crucial for practitioners. These variables encompass eWOM volume, eWOM valence, source credibility, information quality, user expertise, product type, platform type, user engagement, trust, perceived risk, and social influence. By understanding and strategically leveraging these factors, businesses can more effectively enhance consumer purchase intentions and behaviors through eWOM.
Keywords: Information adoption model, Technology acceptance model, Meta-analysis
JEL Classification: M31, O33
1 Assistant Professor, Department of Management Sciences, Tamkang University, Taipei, Taiwan
* ( E-mail: tltseng.gladys@tku.edu.tw )
2 Senior Engineer, Industrial Technology Research Institute, Taipei, Taiwan