ECON. OF MOTIVATION
"An Experimental Study on the Economics of Self-Confidence, Motivation, Gender and Incentives"
| Coordinatore | KOC UNIVERSITY
Organization address
address: RUMELI FENERI YOLU SARIYER contact info |
| Nazionalità Coordinatore | Turkey [TR] |
| Totale costo | 75˙000 € |
| EC contributo | 75˙000 € |
| Programma | FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) |
| Code Call | FP7-PEOPLE-IRG-2008 |
| Funding Scheme | MC-IRG |
| Anno di inizio | 2009 |
| Periodo (anno-mese-giorno) | 2009-05-31 - 2012-05-30 |
Partecipanti
| # | ||||
|---|---|---|---|---|
| 1 |
KOC UNIVERSITY
Organization address
address: RUMELI FENERI YOLU SARIYER contact info |
TR (ISTANBUL) | coordinator | 75˙000.00 |
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Obiettivo del progetto (Objective)
'Inducing high effort and performance is an important goal in organizational economics as well as in education. With the recognition that imperfect self-knowledge is prevalent in such contexts, factors such as self-confidence and attitudes toward information have been increasingly incorporated into economic models of incentives in the recent years. This project proposes to study the link between self-confidence, motivation and institutions using experiments. Important self-selection decisions (e.g. type of occupation, career path) and effort decisions are fundamentally based on perceived ability. In addition, factors previously ignored in the incentive literature such as personality traits, gender, and biological factors can be instrumental in the way that individuals respond to incentives. This project proposes to conduct a set of laboratory experiments to analyze the dynamics of self-confidence and the motivation to exert effort under different institutional settings. In conjunction with the data on behavior, the study will also collect data on gender, educational background, risk-aversion, and personality traits, and will employ the recent methodology of neural measurements. Understanding the determinants of motivation, and studying its interactions with the institutional structure as well as factors such as gender are expected to generate important policy recommendations for the workplace as well as for educational settings.'