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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

Email

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., & Larrain, M. (2026). AI term aversion in career decision-making: Contextual reactions to algorithmic labels. Journal of Decision Systems, 35(1), 2599916. https://doi.org/10.1080/12460125.2025.2599916
  • Kaufmann, E., & Chacon, A. (2026). A critical overview of theories in research on judgment and decision-making using algorithmic advice: The potential of cognitive continuum theory. Cognitive Systems Research. https://doi.org/10.1016/j.cogsys.2026.101462
  • Chacon, A., Montecino, R., Reyes, T., & Kausel, E. E. (2026). The influence of terminology on use and preference in algorithmic systems: Beyond the hype for chatbots. Big Data & Society, 13(1). https://doi.org/10.1177/20539517261431514
  • 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. (2025). An overview of the effects of algorithm use on judgmental biases affecting forecasting. International Journal of Forecasting, 41(2), 424–439. https://doi.org/10.1016/j.ijforecast.2024.03.004
  • Chacon, A., Reyes, T., & Kausel, E. E. (2025). Are engineers more likely to avoid algorithms after they see them err? A longitudinal study. Behaviour & Information Technology, 44(4), 789–804. https://doi.org/10.1080/0144929X.2024.2301234
  • Chacon, A. (2025). The end of algorithm aversion. AI & Society, 40, 2331–2332. https://doi.org/10.1007/s00146-024-02066-z
  • Chacon, A., Martínez-Troncoso, C., & Kausel, E. E. (2025). Customer behavior in the presence of algorithmic marketing agents: The role of hedonic values. Technological Forecasting and Social Change, 220, 124322. https://doi.org/10.1016/j.techfore.2025.124322
  • Chacon, A., Kausel, E. E., Reyes, T., & Trautmann, S. (2025). Embracing algorithms: How learning labels enhance algorithm adoption (Abstract). Academy of Marketing Science – World Marketing Congress.
  • Chacon, A., & Martínez-Troncoso, C. (2025). Hedonism and algorithmic marketing: How consumer values shape responses to AI agents (Abstract). Academy of Marketing Science – World Marketing Congress.
  • Moritz, J. M., Zahs, D., Schmodde, L., Wehner, M., Kulkarni, S., & Chacon, A. (2025). AI usage in HRM: A cross-cultural investigation. Academy of Management Proceedings, 2025(1), 12740. https://doi.org/10.5465/AMPROC.2025.12740abstract
  • 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., Larrain, M., & Pavez, I. (2024). The impact of algorithmic terminology on career decisions. International Journal of Psychology, 59(Supplement 1).
  • Chacon, A., Kausel, E. E., Reyes, T., & Trautmann, S. (2024). Avoiding algorithm aversion: Individuals embrace algorithms with a learning label. International Journal of Psychology, 59(Supplement 1).
  • Chacon, A., Kaufmann, E., Kausel, E. E., Herrera, N., & Reyes, T. (2023). Task-specific algorithm advice acceptance: A review and directions for future research. Data and Information Management, 7(3), 100040. https://doi.org/10.1016/j.dim.2023.100040
  • 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.2023.01.012
  • 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
  • Larrain, M., Chacón, A., Billen, P., & Van Passel, S. Affording the global plastic treaty: Techno-economic and policy insights from a cross-country assessment. SSRN. https://ssrn.com/abstract=5719350