An Empirical Analysis of Influencing Factors of Government Decision-Making on Public Crisis

Tuo Wang, Shiqing Chen, Chuleerat Kongruang


As the times and the world are changing in an unprecedented way, public security issues have become increasingly linked, transnational, and diverse, causing huge impacts on the global economy and society, as well as posing great challenges to the government in dealing with public crisis decision-making. This study aims to determine the factors affecting the government's crisis decision-making and analyze the interrelationship among the factors affecting the government's crisis decision-making and the performance of its crisis decision-making. The questionnaire was developed and used to collect data from 400 samples of various groups, including government department personnel, scientific research institute practitioners, university lecturers, the public, and university students, both online and face-to-face. The structural equation model (SEM) is used to evaluate the structural relationships of the relevant variables, including the crisis decision-making body, crisis decision-making procedure, crisis decision-making performance, the decision environment, and value identification. It is found that the diversified decision-making subject and decision-making environment have a positive and significant impact on the public crisis decision-making process, value identification, and decision-making performance, respectively. This study has contributed to the following issues. Firstly, it developed new measurement tools and indicators for better evaluating the quality and effect of public crisis decision-making and exploring the influence of different factors on the crisis decision-making of the government. Secondly, it employed cross-industry and cross-cultural comparative research to find commonalities and differences and provide targeted recommendations.


Doi: 10.28991/ESJ-2024-08-02-03

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Government Crisis Decision-making; Decision-making Performance; Public Crisis.


Sun X. (2023). Digital Prevention and Control of systemic public risks: A case study of local government debt management. Administrative BBS (6), 133-141. doi:10.16637/j.carolcarrollnki.23-1360/d.2023.06.018.

Shan, S. N., Zhang, Z. C., Ji, W. Y., & Wang, H. (2023). Analysis of collaborative urban public crisis governance in complex system: A multi-agent stochastic evolutionary game approach. Sustainable Cities and Society, 91, 104418. doi:10.1016/j.scs.2023.104418.

Ling, C., & Jiahui, X. (2018). Analysis of influencing factors of government crisis decision-making efficiency. Modern Information, 38(08), 95-98. doi:10.3969/j.issn.1008-0821.2018.08.013.

Butler, S. D. (2021). Impacted public’s perceptions of crisis communication decision making. Public Relations Review, 47(5), 102120. doi:10.1016/j.pubrev.2021.102120.

Al-Dabbagh, Z. S. (2020). The role of decision‐maker in crisis management: A qualitative study using grounded theory (Covid-19 pandemic crisis as a model). Journal of Public Affairs, 20(4), e2186. doi:10.1002/pa.2186.

Paulus, D., de Vries, G., Janssen, M., & Van de Walle, B. (2022). The influence of cognitive bias on crisis decision-making: Experimental evidence on the comparison of bias effects between crisis decision-maker groups. International Journal of Disaster Risk Reduction, 82, 103379. doi:10.1016/j.ijdrr.2022.103379.

Lele, G. (2023). Concurrency as crisis decision-making governance: Lessons from Indonesia's response to the Covid-19 pandemic. Regional & Federal Studies, 33(3), 307-332. doi:10.1080/13597566.2021.1960513.

Kangzhi, Z. (2022). Alienation in the Formation of Risk Society. Journal of Jishou University (Social Sciences Edition), 43(6), 1. doi:10.13438/j.cnki.jdxb.2022.06.001.

Sadri, A. M., Ukkusuri, S. V., & Ahmed, M. A. (2021). Review of social influence in crisis communications and evacuation decision-making. Transportation Research Interdisciplinary Perspectives, 9(3), 1-12. doi:10.1016/j.trip.2021.100325.

McNaught, R. (2024). The application of collaborative governance in local level climate and disaster resilient development – A global review. Environmental Science and Policy, 151(1), 1-15. doi:10.1016/j.envsci.2023.103627.

Johnston, K. (2017). A Gender Analysis of Women in Public–Private–Voluntary Sector ‘Partnerships.’ Public Administration, 95(1), 140–159. doi:10.1111/padm.12288.

Scott, T. A., & Thomas, C. W. (2017). Unpacking the Collaborative Toolbox: Why and When Do Public Managers Choose Collaborative Governance Strategies? Policy Studies Journal, 45(1), 191–214. doi:10.1111/psj.12162.

Stoker, G. (2018). Governance as theory: five propositions. International Social Science Journal, 68(227–228), 15–24. doi:10.1111/issj.12189.

Tan, J., Dai, J. (2015). Procedural justice and optimization of government decision-making procedures. Theory Guide 9(4-7), 12. doi:10.3969/j.issn.1002-7408.2015.09.002.

Hong, W., & Feifei. The possibility of Expert Participation in crisis decision-making: An Analysis based on the Capability Gap Framework. Journal of Jinan: Journal of Philosophy and Social Sciences, 45(5), 86–98. doi:10.11778/j.jnxb.20221957.

Tajfel, H. (1979). Individuals and groups in social psychology. British Journal of Social and Clinical Psychology, 18(2), 183–190. doi:10.1111/j.2044-8260.1979.tb00324.x.

Walker, M. H., & Lynn, F. B. (2013). The embedded self: A social networks approach to identity theory. Social Psychology Quarterly, 76(2), 151-179. doi:10.1177/0190272513482929.

Liang Y. K. (2002). Environmental Assessment and Management. China Light Industry Press, Beijing, China.

Wang, S. (2020). In the northeast city public infrastructure investment efficiency evaluation studies (Master's Degree Thesis, Jilin University). doi:10.27162/d.cnki.gjlin.2020.006200.

Li, L., Weili, W., Juanjuan, G., Xin, Z., Xuefei, W., & Lihui, D. (2019). Analysis of influencing factors of internal control effect in public hospitals based on questionnaire survey. Chinese Health Statistics, 6, 923–927.

Gorsuch, R. L. (1983). Factor Analysis. Lawrence Erlbaum Associates, Hillsdale, United States.

Hair, J. F., Celsi, M. W., Ortinau, D. J., & Bush, R. P. (2017). Essentials of Marketing Research. McGraw-Hill, New York, United States.

Yamane, T. (1973). Statistics: An introductory analysis (3rd Ed.). Haroer and Row, New York, United States.

Israel, G. D. (1992). Sampling the evidence of extension program impact. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS, Gainesville, Unite States.

Zhu, H., & Li, C. (2019). Is common method variance a “deadly plague”? Unsolved contention, fresh insights, and practical recommendations. Advances in Psychological Science, 27(4), 587. doi:10.3724/SP.J.1042.2019.00587.

Haiteng, & Li Chuan-Yun. (2019). Is Common method variation a "deadly plague"?--Debate, new knowledge and response. Advances in Psychological Science, 27(4), 587-599.doi:10.3724/SP.J.1042.2019.00587.

Zhou, H., & Long, L. (2004). Statistical remedies for common method biases. Advances in Psychological Science, 12(6), 942.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. doi:10.1037/0021-9010.88.5.879.

Wen, Z., & Dandan, H. B. T. (2018). Prequel to questionnaire data modeling. Psychological Science, 41, 204-210.

Zhang, H., & Tarofder, A. K. (2023). The Impact of Network Structure Elements on the Building of Service-Oriented Government in China from the Perspective of Network Governance. Migration Letters, 20(6), 851-858. doi:10.59670/ml.v20i6.3530.

Yuhao, Q., & Jirong, Y. (2024). From “Public Security” to “Governance”: The application of collaborative governance theory in the governance of mass incidents. Journal of Shaanxi Normal University, 2, 135-144.

Brewer, M. B. (2007). The Importance of Being We: Human Nature and Intergroup Relations. American Psychologist, 62(8), 728–738. doi:10.1037/0003-066X.62.8.728.

Rolston, H. (2000). Environmental Ethics: The value of Nature and man's obligations to it. China Social Sciences Press, Beijing, China.

Liu, S. (2015). System Evaluation: Method, Model, Application. Science Press, Beijing, China.

Feng, J. (2015). Research on building Public participatory government decision-making model from the perspective of the rule of law. Lingnan Journal, 5, 83-88.

Yang, F. (2012). Legalization of online public opinion solicitation - Exploring an analytical framework for effective online political participation of citizens. Political and Legal, 2, 84-96.

Hongyin, B. (2012). Function analysis of diversified decision-making bodies in the realization mechanism of demand expression. Social Work, 4, 31–34. doi:10.3969/j.issn.1672-4828.2012.04.006.

Thomas, & Zhang, L. (1993). Leaders: Facing Challenges and Choices: The application of Analytic Hierarchy Process to decision making. China Economic Press, Beijing, China.

Wu, X. (2016). Research on Public Crisis Management Performance Audit: Evidence from China's Audit Results Announcement. Jiangsu Quotient Theory, 6, 51-53.

Lele, G. (2023). Concurrency as crisis decision-making governance: Lessons from Indonesia's response to the Covid-19 pandemic. Regional & Federal Studies, 33(3), 307-332. doi:10.1080/13597566.2021.1960513.

Scott, S. G., & Bruce, R. A. (1995). Decision-Making Style: The Development and Assessment of a New Measure. Educational and Psychological Measurement, 55(5), 818–831. doi:10.1177/0013164495055005017.

Ting, X., Hao, C., Guoan, L., & Qi, Y. (2013). The effect of social identity on collective action: group emotion and effectiveness path. Acta Psychologica Sinica, 45(8), 899-920. doi:10.3724/SPJ.1041.2013.00899.

Zhou Jun. (2017). Questionnaire data analysis--Decoding six types of SPSS analysis ideas. Electronic Industry Press, Beijing, China.

Eisinga, R., Grotenhuis, M. te, & Pelzer, B. (2012). The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? International Journal of Public Health, 58(4), 637–642. doi:10.1007/s00038-012-0416-3.

Gim Chung, R. H., Kim, B. S., & Abreu, J. M. (2004). Asian American multidimensional acculturation scale: development, factor analysis, reliability, and validity. Cultural diversity and ethnic minority psychology, 10(1), 66. doi:10.1037/1099-9809.10.1.66.

Churchill, G. A. (1979). A Paradigm for Developing Better Measures of Marketing Constructs. Journal of Marketing Research, 16(1), 64–73. doi:10.1177/002224377901600110.

Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23(3), 187–200. doi:10.1007/bf02289233.

He, X. Q. (1998). Modern statistical analysis methods and applications. China Renmin University Publishing, Beijing, China.

Sureshchandar, G. S. (2023). Quality 4.0–a measurement model using the confirmatory factor analysis (CFA) approach. International Journal of Quality & Reliability Management, 40(1), 280-303. doi:10.1108/IJQRM-06-2021-0172.

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DOI: 10.28991/ESJ-2024-08-02-03


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