Factors enhancing word-of-mouth influence: positive and negative service-related messages

By J. Sweeney, Geoffrey N. Soutar, Tim Mazzarol. 2014

198 citations recorded by the source corpus.

Subfields: Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/335173dbd75e79ebb693bb7a63cdcd73d990c712

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Marketing

1. H. V. van Heerde
2. Roland T. Rust
3. Ming-Hui Huang
4. Peter C. Verhoef
5. Xueming Luo
6. L. Teunter
7. Shuba Srinivasan
8. Christian Homburg

In Organizational Behavior and Human Resource Management

1. H. V. van Heerde
2. Roland T. Rust
3. Xueming Luo
4. Christian Homburg
5. Peter C. Verhoef
6. Ming-Hui Huang

In Sociology and Political Science

1. William Rand
2. Roland T. Rust

Citations in the corpus

• Brand Buzz in the Echoverse (2016, background): “Numerous studies have focused on the relationship between online WOM and consumer sentiment (Moe and Schweidel 2012; Stephen and Toubia 2010) or behavior (Sweeney, Soutar, and Mazzarol 2014).”
• Perceived helpfulness of eWOM: Emotions, fairness and rationality (2020, unknown): “, 2018), purchase intention (Bi et al., 2017; Chen et al., 2016; Hernandez & Handan, 2014; Pappas, 2016; Pereira et al., 2016; Plotkina & Munzel, 2016; Pookulangara & Koesler, 2011; Sweeney et al., 2014; Weisstein et al., 2017) and sales of products/services (Blal & Sturman, 2014; Cadario, 2014; Esl”
• The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention (2019, unknown): “In fact, several studies have corroborated the influence of opinion leaders regarding use or purchase intention (e.g., Sweeney, Soutar, & Mazzarol, 2014; Wu & Lee, 2012).”