Alan S Abrahams
Biographic Data
| ID | 6628228 |
|---|---|
| NAME | Alan S Abrahams |
| GIVEN NAMES | Alan S |
| FAMILY NAME | Abrahams |
| SIGNATURE | ABRAHAMS A S |
| AFFILIATIONS | Virginia Tech |
| ORCID | 0000-0002-4884-3192 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
From reviews to risk assessment
Businesses and regulators benefit from rapidly detecting, categorizing, and prioritizing injury narratives across product categories. Online reviews are a valuable data source for identifying such narratives, but the challenge lies in extracting the most useful information from the enormous volume of data. In this study, we discover and categorize injury reports in online reviews using key terms prevalent in subcategories of injury narratives. We…
More than meets the eye
This study aims to address quality concerns in mobile Extended Reality (XR) apps by developing tools to classify user reviews from the Google Play Store. Our first major contribution is a holistic approach to coding thousands of reviews, offering a unified framework to assess feature concerns and feature suggestions, thereby enhancing the understanding of user expectations. We also introduce a novel toolset for extracting key terms related to the…
How Customer Satisfaction Drivers in Online Reviews of Food Trucks and Quick Service Restaurants Differ
Although food trucks have attracted significant attention among the dining public, little is known in the academic literature about what drives consumer satisfaction with them. Employing a grounded theory methodology, we analyzed a large set of Yelp reviews to determine whether the antecedents of satisfaction with food trucks differ from those associated with quick-service restaurants. We found that for most attributes, positive experiences at fo…
Bringing safety analytics to the online shopper
Purpose The widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about …
Safeguarding Korean Export Trade through Social Media-Driven Risk Identification and Characterization
Purpose – Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea’s reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product …
No prominent works on this page.
Safeguarding Korean Export Trade through Social Media-Driven Risk Identification and Characterization
Purpose – Korean exports account for a vast proportion of Korean GDP, and large volumes of Korean products are sold in the United States. Identifying and characterizing actual and potential product hazards related to Korean products is critical to safeguard Korean export trade, as severe quality issues can impair Korea’s reputation and reduce global consumer confidence in Korean products. In this study, we develop country-of-origin-based product …
Bringing safety analytics to the online shopper
Purpose The widespread adoption of online purchasing has prompted increasing concerns about product safety, and regulators are beginning to hold e-commerce sites accountable for dangerous product defects. For online consumers, understanding the many inherent safety risks among the extensive array of products they browse is a formidable task. The authors attempt to address this problem via a client-side software artifact that warns shoppers about …
How Customer Satisfaction Drivers in Online Reviews of Food Trucks and Quick Service Restaurants Differ
Although food trucks have attracted significant attention among the dining public, little is known in the academic literature about what drives consumer satisfaction with them. Employing a grounded theory methodology, we analyzed a large set of Yelp reviews to determine whether the antecedents of satisfaction with food trucks differ from those associated with quick-service restaurants. We found that for most attributes, positive experiences at fo…
More than meets the eye
This study aims to address quality concerns in mobile Extended Reality (XR) apps by developing tools to classify user reviews from the Google Play Store. Our first major contribution is a holistic approach to coding thousands of reviews, offering a unified framework to assess feature concerns and feature suggestions, thereby enhancing the understanding of user expectations. We also introduce a novel toolset for extracting key terms related to the…
From reviews to risk assessment
Businesses and regulators benefit from rapidly detecting, categorizing, and prioritizing injury narratives across product categories. Online reviews are a valuable data source for identifying such narratives, but the challenge lies in extracting the most useful information from the enormous volume of data. In this study, we discover and categorize injury reports in online reviews using key terms prevalent in subcategories of injury narratives. We…
Computer Science (4 works) · Business (3 works) · Marketing (3 works) · Psychology (3 works) · Advertising (2 works) · Engineering (2 works) · Originality (2 works) · Social media (2 works) · World Wide Web (2 works) · Analytics (1 work)