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Electronic Word of Mouth and Social Commerce

In: Artificial Neural Networks and Structural Equation Modeling

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ali Shakir Zaidan & XinYing Chew & Khai Wah Khaw & Marcos Ferasso, 2022. "Electronic Word of Mouth and Social Commerce," Springer Books, in: Alhamzah Alnoor & Khaw Khai Wah & Azizul Hassan (ed.), Artificial Neural Networks and Structural Equation Modeling, pages 79-95, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-6509-8_5
    DOI: 10.1007/978-981-19-6509-8_5
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