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Results: 13,749
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  • Open Access
    Arnold, M. C., Shi, B., Tafkov, I. D., & Voermans, E. (2025). The Effects of Relative Performance Information and Work-Training Tradeoff on Employees’ Skill Development: An Experimental Investigation. The Accounting Review, 100(3), 35–58. https://doi.org/10.2308/TAR-2023-0670
  • Open Access
    Qiu, J., Lin, Y., & Zwetsloot, I. M. (2025). An LSTM-based predictive monitoring method for data with time-varying variability. International Journal of Production Research, 63(7), 2622-2637. https://doi.org/10.1080/00207543.2024.2408435
  • Open Access
    Curran, K., Lee, E., Pfarrer, M., & Graffin, S. (2025). Sharing the Spotlight: The Benefits of Having a Celebrity Competitor. Journal of Management, 51(5), 1868 - 1896. https://doi.org/10.1177/01492063241236767
  • Open Access
    Dudenhöffer, T. (2025). Perception management in negotiations: How conversations shape negotiation outcomes. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van Mourik, S., van 't Ooster, B., & Vellekoop, M. (2025). Optimal temperature setpoint control for a complete greenhouse crop cycle under growth uncertainty. Biosystems Engineering, 258, Article 104250. https://doi.org/10.1016/j.biosystemseng.2025.104250
  • Vogels, L., Mohammadi, R., Schoonhoven, M., & Birbil, Ş. İ. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.26880600.v1
  • Kleibergen, F., & Zhaoguo, Z. (2024, November 1). Double Robust Inference for Continuous Updating GMM [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14025673
  • Amasino, D. R., Pace, D., & van der Weele, J. (2024). Data and Code for: Fair Shares and Selective Attention [Data set]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/e196781v1
  • Robben, J., & Antonio, K. (2024). Replication Data for: "Catastrophe risk in a stochastic multi-population mortality model" [Data set]. Harvard Dataverse. https://doi.org/10.7910/dvn/rced3c
  • Reinl, A.-K., Beetsma, R., & Nicoli, F. (2024). Divided by borders, united in healthcare? Regional heterogeneities and technocratic solidarity during the Covid-19 pandemic [Data set]. Taylor & Francis. https://doi.org/10.6084/m9.figshare.25351908.v1
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