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Results: 217,645
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Axtell, C., Vasquez, C., Christensen, M., Innstrand, S. T., De Angelis, M., Mazzetti, G., Pelzer, V., van den Heuvel, M., Tušl, M., Šípová, I., Muschalla, B., Llorens, S., & Peláez Zuberbuhler, J. (2025). Adapting mental health needs analysis activities to online and hybrid methods: Lessons learned during Covid-19. Information and Management, 62(4), Article 104132. https://doi.org/10.1016/j.im.2025.104132 -
te Brömmelstroet, M., & Brandsma, S. (2025). From Citizen-Led Street Experiments to Transformative Change: A Case Study in Improving School Environments in the Netherlands. Built Environment, 51(3), 436-457. https://doi.org/10.2148/benv.51.3.437 -
Dubey, S., Meijers, M. H. C., Smit, E. G., & Smit, E. S. (2025). Talking Environment on TikTok: Messages, Social Actors, and Engagement. Environmental Communication, 19(4), 723-748. https://doi.org/10.1080/17524032.2025.2453232 -
McMichael, C. N. H., ter Steege, H., Gosling, W. D., Nascimento, M. N., AmazonArch, & Amazon Tree Diversity Network (2025). Centuries of compounding human influence on Amazonian forests. Proceedings of the National Academy of Sciences, 122(47), Article e2514040122. https://doi.org/10.1073/pnas.2514040122 -
Braat, P., & Hufnagel, M. (2025). Big Bang Nucleosynthesis constraints on resonant DM annihilations. Journal of Cosmology and Astroparticle Physics, 2025(2), Article 032. https://doi.org/10.48550/arXiv.2409.14900, https://doi.org/10.1088/1475-7516/2025/02/032 -
Guyt, J. Y., van Lin, A., & Keller, K. O. (2025). Banning Unsolicited Store Flyers: Does Helping the Environment Hurt Retailing? Marketing Science, 44(5), 1104-1124. https://doi.org/10.1287/mksc.2023.0020 -
Pfeuffer, A., Hatfield, H. R., Evans, N., & Kim, J. (2025). Illegally beautiful? The role of trust and persuasion knowledge in online image manipulation disclosure effects. International Journal of Advertising, 44(4), 696-717. https://doi.org/10.1080/02650487.2024.2403311 -
Yuan, S., Xing, L., & Zhao, D. (2025). A multi-stage HR-in-the-loop approach to enhance fairness perceptions of AI selection systems. International Journal of Human Resource Management, 36(14), 2623-2658. https://doi.org/10.1080/09585192.2025.2564235
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