Identifying Factors Influencing E-WOM on Social Networking Sites: A Study of Users' Responses on Twitter

Identifying Factors Influencing E-WOM on Social Networking Sites: A Study of Users' Responses on Twitter

Noopur Agrawal, Aditya P. Tripathi, Priti Jagwani
Copyright: © 2022 |Pages: 22
DOI: 10.4018/IJOSSP.311838
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Abstract

The aim of present research is to examine the influence of identified factors on efficacy of electronic word-of-mouth (e-WOM) for selected e-retailers on social media platform Twitter, applying data mining technique through python software programming. Taking the use of different programming and context as a research gap, the relationship among three important factors viz; network related, text related and time related factors and their influence on e-WOM has been examined on randomly tracked 2582 tweets about two of the reputed Indian e-retailers, Snapdeal and Flipkart. This study may be of immense help to e-retailers in identifying their reference customers (influential customers) on social media platform which in turn may be channelized for the purpose of viral marketing and other communication campaigns.
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Review Of Literature

Electronic word-of-mouth- e-WOM is the user’s opinion about the product or its company or the services by texting messages in the virtual world (King et al., 2014; Barreto, 2014). Unlike traditional WOM, e-Wom is different in various perspectives, like:

The messages received by the customers can be retrieved from anywhere at any time (Henning-Thurau et al., 2004). Measuring e-Wom is more accurate, controlled and convenient than its traditional counterpart (Cheung and Thadani, 2012).

e-WOM is disseminated through different internet channels like consumer forums (web-based consumer-opinion platforms used by consumers to publicise and communicate their opinions), boycott websites, personal e-mails, chat rooms, and instant messages (Cheung and Thadani, 2012). e-WOM is based on text messages in which there is a sender of the message and number of users as receivers of the message on the internet.

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