The Digitization of Word-of-Mouth
By Roberta Minazzi. 2015
919 citations recorded by the source corpus.
Subfields: Information Systems and Management, Sociology and Political Science, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/af17aac81d68c3a16f2370ace4f864b39d304b98
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Fraser McLeay
- Raffaele Filieri
- Salma Alguezaui
- Andrew T. Stephen
- Julian K. Ayeh
- Cait Lamberton
- Thomas Ritter
- R. Law
In Sociology and Political Science
- Raffaele Filieri
- Fraser McLeay
- Salma Alguezaui
- Eric Wing Kuen See-To
- Kevin K. W. Ho
- Enrique Herrera-Viedma
- Andrew T. Stephen
- Cait Lamberton
In Human-Computer Interaction
- Raffaele Filieri
- Sung-Byung Yang
- Seunghun Shin
- Andrew T. Stephen
- Thomas Ritter
- R. Law
- C. Rossi‐Lamastra
- Eric Wing Kuen See-To
Citations in the corpus
- Reputation and Feedback Systems in Online Platform Markets (2016, background): “As Dellarocas (2003) put it, “eBay’s impressive commercial success seems to indicate that its feedback mechanism has succeeded in achieving its primary objective.””
- A Thematic Exploration of Digital, Social Media, and Mobile Marketing: Research Evolution from 2000 to 2015 and an Agenda for Future Inquiry (2016, positive): “Two major seed articles for this literature stream were Dellarocas (2003) and Godes and Mayzlin (2004).”
- Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews (2013, background): “In addition, prior literature has concluded that negative reviews and WOM are more powerful than positive ones (Dellarocas 2003); we therefore also include the percentage of negative reviews in our study as a supplement to measure the impact of online WOM.”
- "Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, background): “Our paper also contributes to the ever-growing literature on online word-of-mouth (Dellarocas, 2003, Forman, Ghose and Wiesenfeld, 2008) in at least three aspects.”
- Mining customer requirements from online reviews: A product improvement perspective (2016, background): “Research on online reviews has become an established field due to the rapid growth of electronic commerce [36, 37].”
- A review on trust propagation and opinion dynamics in social networks and group decision making frameworks (2019, background): “• RateWeb [30] is a decentralised and unstructured approach that calculates trust between web services.”
- Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust - A theoretical analysis (2014, background): “Dellarocas (2003) shows that trust on a firm and its products can be developed in e-Forums by those eWOM submitted by prior consumers.”
- Operational Transparency on Crowdfunding Platforms: Effect on Donations for Emergency Response (2019, methodology): “Online data, such as what we use, has been identified as less biased than datasets from smaller customer surveys (Dellarocas 2003).”
- Word of Mouth: What We Know and What We Have Yet to Learn (2013, neutral): “While the antecedents and consequences explored in this paper likely apply to eWOM, the role that consumer interactivity in electronic media plays makes the processes of eWOM somewhat different (Bickart and Schindler 2002; Blazevic et al. 2013; Dellarocas 2003).”
- What's Different about Social Media Networks? A Framework and Research Agenda (2014, background): “…user's identity in the network may be supported by reputation mechanisms that explicitly record his or her activity in the network, such as when online communities explicitly identify the most prolific or helpful contributors (Bakos and Dellarocas 2011; Bolton et al. 2004; Dellarocas 2003, 2005).”
- The wisdom of the crowd in funding: information heterogeneity and social networks of crowdfunders (2018, background): “The literature on online feedback mechanisms suggests a more positive role of feedback by others (Dellarocas 2003).”
- Keep Your Cool or Let it Out: Nonlinear Effects of Expressed Arousal on Perceptions of Consumer Reviews (2017, background): “Reflecting this trend, online review platforms allow consumers to exert considerable influence by sharing their opinions of products and services (Chen and Xie 2008; Chevalier and Mayzlin 2006; Dellarocas 2003).”
- What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014, background): “What We Need to Know (RQ1) How can firms foster higher quality reviews and reviewers in a relatively anonymous online environment? eWOM platforms face the typical ‘ public goods ’ problems (Dellarocas 2003).”
- Examining the influence of online reviews on consumers' decision-making: A heuristic-systematic model (2014, neutral): “The large volume of online reviews is one of the distinct characteristics that differ from word-of-mouth information in offline environments [14,21].”
- “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content (2013, background): “…of UGC to strategic manipulation and abuse by some service providers (Ibrahim 2008; Litvin, Goldsmith, and Pan 2008) and uncertainties about the trustworthiness of the website operators (Dellarocas 2003; Gretzel 2006) are among several issues that raise credibility questions about UGC.”