Electronic Word of Mouth and Social Commerce

Ali Shakir Zaidan (), XinYing Chew (), Khai Wah Khaw () and Marcos Ferasso
Additional contact information
Ali Shakir Zaidan: Universiti Sains Malaysia, School of Management
XinYing Chew: Universiti Sains Malaysia, School of Computer Sciences
Khai Wah Khaw: Universiti Sains Malaysia, School of Management
Marcos Ferasso: Universidade Autónoma de Lisboa, Economics and Business Sciences Department

A chapter in Artificial Neural Networks and Structural Equation Modeling, 2022, pp 79-95 from Springer

Abstract: Abstract Advances in Web 2.0 technologies have led to the wide adoption of electronic commerce platforms as an innovative shopping method to replace traditional shopping. However, due to pro-technology bias, scholars focus on technology adoption and slightly attention has been paid to the impact of electronic word of mouth (eWOM) on customers’ intention to use new online channels. This chapter addresses this gap by examining this intention through exploring the effect of eWOM on customers’ intention. In addition, this chapter will address the role of the positive and negative factors of eWOM such as affective, mishandling, and esthetics factors in social commerce.

Keywords: Electronic word of mouth; Social commerce; Web 2.0 technologies; e-commerce (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-6509-8_5

Ordering information: This item can be ordered from
http://www.springer.com/9789811965098

DOI: 10.1007/978-981-19-6509-8_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().