Perfil

Grado académico

Ph.D. in Engineering Sciences

Área de investigación

Economía del comportamiento
Comportamiento del consumidor
Comportamiento ante decisiones algorítmicas

Cursos impartidos

Marketing Estratégico
Marketing Táctico

alvaro.chacon@usm.cl

Álvaro Chacón H.

Ph.D. in Engineering Sciences, Pontificia Universidad Católica de Chile, Chile.

Reseña del académico

Académico del Departamento de Ingeniería Comercial de la Universidad Técnica Federico Santa María. Sus áreas de investigación y docencia se relacionan con la economía del comportamiento, el marketing, el comportamiento del consumidor, el comportamiento ante decisiones algorítmicas y la analítica de negocios. Se ha desenvuelto en ámbitos organizacionales, contando con una importante experiencia gerencial en empresas multinacionales y organizaciones sin fines de lucro.

Formación

Ph.D. in Engineering Science, Pontificia Universidad Católica de Chile.
Master of Engineering Management, Melbourne University, Australia.
Master in Business Administration (MBA), Pontificia Universidad Católica de Chile.
Civil Industrial Engineer, Pontificia Universidad Católica de Chile.

Publicaciones

Chacon, A., Kausel, E. E., Reyes, T., & Trautmann, S. (2025). Preventing algorithm aversion: People are willing to use algorithms with a learning label. Journal of Business Research, 187, 115032. https://doi.org/10.1016/j.jbusres.2024.115032
Chacon, A., & Kaufmann, E. (2024). An overview of the effects of algorithm use on judgmental biases affecting forecasting. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2024.09.007
Chacon, A. (2024). The end of algorithm aversion. AI & Society, 1–2. https://doi.org/10.1007/s00146-024-02066-z
Kausel, E. E., Reyes, T., Larach, F., Chacon, A., & Enei, G. (2024). Does enhancing the vividness in connection with the future self increase savings behavior? A field experiment. Journal of Behavioral and Experimental Economics, 110, 102204. https://doi.org/10.1016/j.socec.2024.102204
Chacon, A., Reyes, T., & Kausel, E. E. (2024). Are engineers more likely to avoid algorithms after they see them err? A longitudinal study. Behaviour & Information Technology, 1–16. https://doi.org/10.1080/0144929X.2024.2344092
Reyes, T., Batista, J. A., Chacon, A., Martinez, D., & Kausel, E. E. (2023). Attention-driven reaction to extreme earnings surprises. The Quarterly Review of Economics and Finance, 92, 230–248. https://doi.org/10.1016/j.qref.2023.10.003
Kaufmann, E., Chacon, A., Kausel, E. E., Herrera, N., & Reyes, T. (2023). Task-specific algorithm advice acceptance: A review and directions for future research. Data and Information Management, 100040. https://doi.org/10.1016/j.dim.2023.100040
Chacon, A., Reyes, T., & Kausel, E. E. (2023). Engineers show more algorithm aversion: A longitudinal study. Academy of Management Proceedings, 2023(1), 11021. https://doi.org/10.5465/AMPROC.2023.11021abstract
Kausel, E. E., Larach, F., Chacon, A., & Enei, G. (2023). Increasing savings behavior by affecting the connection with the future self: A field experiment. Academy of Management Proceedings, 2023(1), 13176. https://doi.org/10.5465/AMPROC.2023.13176abstract
Chacon, A., Kausel, E. E., & Reyes, T. (2022). A longitudinal approach for understanding algorithm use. Journal of Behavioral Decision Making, 35(4), e2275. https://doi.org/10.1002/bdm.2275

Perfil

Álvaro Chacón H.

Reseña del académico

Formación

Publicaciones

UNIVERSIDAD

CAMPUS Y SEDES

EXTENSIÓN Y CULTURA

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