Tesi etd-06282013-094658 |
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Tipo di tesi
Tesi di laurea magistrale
Autore
DELFINO, ALEXIA
URN
etd-06282013-094658
Titolo
ENTICED BY POPULARITY? INDIVIDUAL DECISION MAKING WITH SOCIAL CUES IN THE INTERNET ERA.
Dipartimento
ECONOMIA E MANAGEMENT
Corso di studi
SCIENZE ECONOMICHE
Relatori
relatore Prof. Marengo, Luigi
correlatore Nuvolari, Alessandro
correlatore Nuvolari, Alessandro
Parole chiave
- cultural markets
- decision making
- experimental economics
- heuristics
- social cues
Data inizio appello
15/07/2013
Consultabilità
Parziale
Data di rilascio
15/07/2053
Riassunto
On the Internet, people have free direct access to information related to the popularity and the quality of products. In many cases, cues hinting to popularity and quality are made prevalent in the interface of the website in order to facilitate the choices made by the users. In addition, many websites use algorithms based on those two attributes to generate the order in which the users see the items. Although this information is an inherent part of many websites little is known about how people integrate these two sources of information.
In this study we examine how people use popularity and quality cues for books, films and homemade videos (available at www.amazon.com, www.imdb.com and www.youtube.com, respectively) to choose between alternative options. We implement a binary choice task in which items are presented to the participants simultaneously alongside with cues referring to popularity and quality. All other information (e.g., name, content, author) is withheld to focus on the interaction of these two cues. For each of the three experiments, the experimental task comprised of 200 choices, which were consequential for the participants.
We compare the predictive performance of heuristic, probabilistic choice and machine learning models over the collected data. Our results indicate variability between participants but consistent decision rules within each subject. Furthermore, we find that the valence of popularity and quality cues varies across the three websites, indicating environmental features that could lead to the emergence of different decision processes across them.
In this study we examine how people use popularity and quality cues for books, films and homemade videos (available at www.amazon.com, www.imdb.com and www.youtube.com, respectively) to choose between alternative options. We implement a binary choice task in which items are presented to the participants simultaneously alongside with cues referring to popularity and quality. All other information (e.g., name, content, author) is withheld to focus on the interaction of these two cues. For each of the three experiments, the experimental task comprised of 200 choices, which were consequential for the participants.
We compare the predictive performance of heuristic, probabilistic choice and machine learning models over the collected data. Our results indicate variability between participants but consistent decision rules within each subject. Furthermore, we find that the valence of popularity and quality cues varies across the three websites, indicating environmental features that could lead to the emergence of different decision processes across them.
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