Koen Pauwels
Biographic Data
| ID | 4101217 |
|---|---|
| NAME | Koen Pauwels |
| GIVEN NAMES | Koen |
| FAMILY NAME | Pauwels |
| SIGNATURE | PAUWELS K |
| AFFILIATIONS | Northeastern University |
| ORCID | 0000-0002-5975-5980 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1984 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address this gap by developing, validating, and applying an unsupervised machine learning model to automatically extract uniqueness from images and quantify its impact on demand. We first con…
Actual Cleaning and Simulated Cleaning Attenuate Psychological and Physiological Effects of Stressful Events
The human mind harbors various mechanisms for coping with stress, but what role does physical behavior play? Inspired by ethological observations of autogrooming activity across species, we offer a general hypothesis: cleaning attenuates effects of stressful events. Preregistered behavioral and psychophysiological experiments ( N = 3,066 in United Kingdom, United States, and Canada) found that (a) concrete visual simulation of cleaning behavior a…
Promoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sources
As stated in the mission of the Journal of Consumer Research (JCR) (2022) and a recent editorial (Schmitt et al. 2022), JCR is a multi-disciplinary journal where consumer research provides insights about consumers and consumption in the marketplace in a way that meaningfully extends the knowledge from one of our core disciplines (e.g., psychology, sociology, economics) about a consumer-oriented construct. Unfortunately, the labels “consumer resea…
Evaluation of Unemployment by Young, Married Unemployed
Promoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sources
As stated in the mission of the Journal of Consumer Research (JCR) (2022) and a recent editorial (Schmitt et al. 2022), JCR is a multi-disciplinary journal where consumer research provides insights about consumers and consumption in the marketplace in a way that meaningfully extends the knowledge from one of our core disciplines (e.g., psychology, sociology, economics) about a consumer-oriented construct. Unfortunately, the labels “consumer resea…
Evaluation of Unemployment by Young, Married Unemployed
Promoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sources
As stated in the mission of the Journal of Consumer Research (JCR) (2022) and a recent editorial (Schmitt et al. 2022), JCR is a multi-disciplinary journal where consumer research provides insights about consumers and consumption in the marketplace in a way that meaningfully extends the knowledge from one of our core disciplines (e.g., psychology, sociology, economics) about a consumer-oriented construct. Unfortunately, the labels “consumer resea…
Actual Cleaning and Simulated Cleaning Attenuate Psychological and Physiological Effects of Stressful Events
The human mind harbors various mechanisms for coping with stress, but what role does physical behavior play? Inspired by ethological observations of autogrooming activity across species, we offer a general hypothesis: cleaning attenuates effects of stressful events. Preregistered behavioral and psychophysiological experiments ( N = 3,066 in United Kingdom, United States, and Canada) found that (a) concrete visual simulation of cleaning behavior a…
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address this gap by developing, validating, and applying an unsupervised machine learning model to automatically extract uniqueness from images and quantify its impact on demand. We first con…
Psychology (4 works) · Computer Science (2 works) · Social Psychology (2 works) · Anxiety (1 works) · Behavioral Health and Interventions (1 works) · Biology (1 works) · Business (1 works) · Clinical Psychology (1 works) · Cognition (1 works) · Cognitive psychology (1 works)