Elisabetta Raguseo
Sociology and Political Science · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 78 citations into it; #18,936 of 22,756 by trust here, #18,468 by citations
- Marketing — 48 citations into it; #5,307 of 6,289 by trust here, #5,492 by citations
- Information Systems and Management — 29 citations into it
- Organizational Behavior and Human Resource Management — 19 citations into it
- Artificial Intelligence — 13 citations into it
- Economics and Econometrics — 7 citations into it
- Management Science and Operations Research — 6 citations into it; #5,527 of 11,946 by trust here, #10,392 by citations
- Human-Computer Interaction — 5 citations into it
Whom Elisabetta Raguseo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raffaele Filieri
- Sangwon Park
- Prasanna B. Tambe
- Susan M. Mudambi
- Anindya Ghose
- Zhiwei Liu
- Amir Gandomi
- Michael Smithson
- Philip Fei Wu
- Brian L. Connelly
Who trusts Elisabetta Raguseo overall
Papers from Elisabetta Raguseo's perspective
Ordered by how strongly the researchers Elisabetta Raguseo trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics (IEEE Transactions on Knowledge and Data Engineering)
- The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement (International Journal of Electronic Commerce)
- The impact of online reviews on hotel booking intentions and perception of trust.
- What makes a useful online review? Implication for travel product websites.
- What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com (MIS Q.)
- Herding in online product choice
- Using Online Conversations to Study Word-of-Mouth Communication
- Online travel reviews as persuasive communication: The effects of content type, source, and certification logos on consumer behavior
- Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach (Decision Support Systems)
- Job Market Signaling
Their papers
- What moderates the influence of extremely negative ratings? The role of review and reviewer characteristics (2019) — 155 citations
- Big data technologies: An empirical investigation on their adoption, benefits and risks for companies (2018) — 340 citations
- Extremely Negative Ratings and Online Consumer Review Helpfulness: The Moderating Role of Product Quality Signals (2020) — 129 citations