Editorial board member
Computational social science methods
13849
67KIIKGE
1
apa
50
date
desc
1
1
Ma, J.
6
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Ma, J. (2024). Can Machines Think Like Humans? A Behavioral Evaluation of LLM-Agents in Dictator Games (No. arXiv:2410.21359). arXiv. https://doi.org/10.48550/arXiv.2410.21359 Cite Download
Ma, J., Ebeid, I. A., de Wit, A., Xu, M., Yang, Y., Bekkers, R., & Wiepking, P. (2023). Computational Social Science for Nonprofit Studies: Developing a Toolbox and Knowledge Base for the Field. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 34(1), 52–63. https://doi.org/10.1007/s11266-021-00414-x Cite Download Download
Ma, J. (2021). Automated Coding Using Machine Learning and Remapping the U.S. Nonprofit Sector: A Guide and Benchmark. Nonprofit and Voluntary Sector Quarterly, 50(3), 662–687. https://doi.org/10.1177/0899764020968153 Cite Download Download
Knowledge production
13849
YJQATKA2
1
apa
50
date
desc
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Ma, J.
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https://jima.me/wp-content/plugins/zotpress/
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Ma, J. (2024). Neutral, Non-Disruptive, and Native: Why Do Chinese Nonprofit Scholars Cite English Articles? Nonprofit and Voluntary Sector Quarterly, 53(4), 1028–1056. https://doi.org/10.1177/08997640231196892 Cite Download Download
Ma, J., & Cheng, Y. (Daniel). (2024). Why do some academic articles receive more citations from policy communities? Public Administration Review, n/a(n/a). https://doi.org/10.1111/puar.13857 Cite Download
Ma, J., & Bekkers, R. (2024). Consensus Formation in Nonprofit and Philanthropic Studies: Networks, Reputation, and Gender. Nonprofit and Voluntary Sector Quarterly, 53(1), 127–158. https://doi.org/10.1177/08997640221146948 Cite Download
Ma, J., Ovalle, J., & Wang, Y. (2023). Institutional factors influencing knowledge production for practice: Evidence from nonprofit studies. PLOS ONE, 18(10), e0293360. https://doi.org/10.1371/journal.pone.0293360 Cite Download
Ma, J. (2023). How Does an Authoritarian State Co-opt Its Social Scientists Studying Civil Society? VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 34(4), 830–846. https://doi.org/10.1007/s11266-022-00510-6 Cite Download
Ma, J., & Konrath, S. (2018). A Century of Nonprofit Studies: Scaling the Knowledge of the Field. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 29(6), 1139–1158. https://doi.org/10.1007/s11266-018-00057-5 Cite Download
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Ma, J. (2023). How Does an Authoritarian State Co-opt Its Social Scientists Studying Civil Society? VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 34(4), 830–846. https://doi.org/10.1007/s11266-022-00510-6 Cite Download
Ma, J. (2020). Funding nonprofits in a networked society: Toward a network framework of government support. Nonprofit Management and Leadership, 31(2), 233–257. https://doi.org/https://doi.org/10.1002/nml.21426 Cite Download
Ma, J., & DeDeo, S. (2018). State power and elite autonomy in a networked civil society: The board interlocking of Chinese non-profits. Social Networks, 54, 291–302. https://doi.org/10.1016/j.socnet.2017.10.001 Cite Download Download Download
Han, J., Ma, J., & Wang, Z. (2018). Social Value Chains: A New Organizational Framework for Studies on State-Society Relations in China. Chinese Public Administration Review, 9(1), 55–74. https://doi.org/10.22140/cpar.v9i1.152 Cite Download
Ma, J., Wang, Q., Dong, C., & Li, H. (2017). The research infrastructure of Chinese foundations, a database for Chinese civil society studies. Scientific Data, 4(1), 170094. https://doi.org/10.1038/sdata.2017.94 Cite Download
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