Managing Uncertainty: Exploring Risk Management during the COVID-19 Pandemic through Bibliometrics Analysis

Authors

DOI:

https://doi.org/10.37231/jmtp.2025.6.1.469

Keywords:

Risk, Management, Covid19, Biblioshiny, Visualization

Abstract

This paper conducted a bibliometric review of research investigating the impact of the COVID-19 pandemic on risk management. Our analysis uses Biblioshiny R Studio software to map and visualize scientific results. Our dataset consists of 380 scientific articles from 193 journals written by 1144 contributors sourced from the Scopus database since the outbreak of the pandemic in 2020. The study shows that the Journal of Risk Research is the most productive journal, with the most regional contributions from the United States. Using keyword grouping, topics that emerged in risk management in the COVID-19 era were described. The focus is risk assessment, management, supply chain management, decision-making, and perception. Our findings improve our understanding of the research landscape and patterns in the field's intellectual, conceptual, and social structures. This paper offers solutions for future studies and discusses implications for policy and management using various keyword analysis techniques.

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References

Bi, M., Kovalenko, I., Tilbury, D. M., & Barton, K. (2023). Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems. International Journal of Production Research. https://doi.org/10.1080/00207543.2023.2200567

Boshnak, H. A., Alsharif, M., & Alharthi, M. (2023). Corporate governance mechanisms and firm performance in Saudi Arabia before and during the COVID-19 outbreak. Cogent Business & Management, 10(1), 2195990. https://doi.org/10.1080/23311975.2023.2195990

Chen, S., & Wu, J. (2017). Global productivity of dermatological research: a bibliometric analysis from 1985 to 2014. British Journal of Dermatology, 176(1), 234–236.

Crovini, C. (2019). Risk Management in Small and Medium Enterprises. https://doi.org/10.4324/9780429276316

Dahmen, P. (2023). Organizational resilience as a key property of enterprise risk management in response to novel and severe crisis events. Risk Management and Insurance Review, 26(2), 203–245. https://doi.org/10.1111/rmir.12245

Deiva Ganesh, A., & Kalpana, P. (2022). Supply chain risk identification: a real-time data-mining approach. Industrial Management and Data Systems, 122(5), 1333–1354. https://doi.org/10.1108/IMDS-11-2021-0719

Duong, A. T. B., Vo, V. X., do Sameiro Carvalho, M., Sampaio, P., & Truong, H. Q. (2023). Risks and supply chain performance: globalization and COVID-19 perspectives. International Journal of Productivity and Performance Management, 72(7), 1962–1986. https://doi.org/10.1108/IJPPM-03-2021-0179

Edirisinghe Vincent, N., & Pinsker, R. (2020). IT risk management: interrelationships based on strategy implementation. International Journal of Accounting & Information Management, 28(3), 553–575. https://doi.org/10.1108/IJAIM-08-2019-0093

Egghe, L., & Rousseau, R. (2008). An h-index weighted by citation impact. Information Processing & Management, 44(2), 770–780.

Gebhardt, M., Spieske, A., Kopyto, M., & Birkel, H. (2022). Increasing global supply chains’ resilience after the COVID-19 pandemic: Empirical results from a Delphi study. Journal of Business Research, 150, 59–72. https://doi.org/10.1016/j.jbusres.2022.06.008

Glette-Iversen, I., Seif, A., & Aven, T. (2023). Characterizations of COVID-19 risk: review and suggestions for improvement of current practices. Journal of Risk Research, 26(7), 725–747. https://doi.org/10.1080/13669877.2023.2208128

Haraguchi, M., Neise, T., She, W., & Taniguchi, M. (2023). Conversion strategy builds supply chain resilience during the COVID-19 pandemic: A typology and research directions. Progress in Disaster Science, 17, 100276. https://doi.org/https://doi.org/10.1016/j.pdisas.2023.100276

Hsu, Y.-L., & Yang, Y.-C. (2022). Corporate governance and financial reporting quality during the COVID-19 pandemic. Finance Research Letters, 47, 102778. https://doi.org/https://doi.org/10.1016/j.frl.2022.102778

Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922.

Khanbaba, A., & Ebrahimnejad, S. (2023). A multi objective input–output model to select optimal strategies under COVID-19 conditions: In the pharmaceutical industry. Operations Management Research. https://doi.org/10.1007/s12063-023-00370-3

Klöckner, M., Schmidt, C. G., Wagner, S. M., & Swink, M. (2023). Firms’ responses to the COVID-19 pandemic. Journal of Business Research, 158. https://doi.org/10.1016/j.jbusres.2023.113664

Lee, P. T.-W., & Song, Z. (2023). Exploring a new development direction of the Belt and Road Initiative in the transitional period towards the post-COVID-19 era. Transportation Research Part E: Logistics and Transportation Review, 172. https://doi.org/10.1016/j.tre.2023.103082

Liu, J., Gu, B., & Chen, J. (2023). Enablers for maritime supply chain resilience during pandemic: An integrated MCDM approach. Transportation Research Part A: Policy and Practice, 175. https://doi.org/10.1016/j.tra.2023.103777

Liu, L., Tu, Y., & Zhou, X. (2022). How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study. Technology in Society, 71. https://doi.org/10.1016/j.techsoc.2022.102113

Ngo, H. T., & Duong, H. N. (2024). Covid-19 pandemic and firm performance: evidence on industry differentials and impacting channels. International Journal of Social Economics, 51(4), 569–583. https://doi.org/10.1108/IJSE-02-2023-0072

Noone, B. M., Lin, M. S., & Sharma, A. (2022). Firm Performance During a Crisis: Effects of Adhocracy Culture, Incremental Product Innovation, and Firm Size. Journal of Hospitality & Tourism Research, 48(1), 153–183. https://doi.org/10.1177/10963480221086846

Papíková, L., & Papík, M. (2022). Intellectual capital and its impacts on SMEs profitability during COVID-19 pandemic. Journal of Eastern European and Central Asian Research (JEECAR), 9(3), 521–531.

Peker, I., Ar, I. M., Erol, I., & Searcy, C. (2023). Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework. Operations Management Research, 16(2), 642–667. https://doi.org/10.1007/s12063-022-00340-1

Peng, Y., Xu, D., Veglianti, E., & Magnaghi, E. (2023). A PRODUCT SERVICE SUPPLY CHAIN NETWORK EQUILIBRIUM CONSIDERING RISK MANAGEMENT IN THE CONTEXT OF COVID-19 PANDEMIC. Journal of Industrial and Management Optimization, 19(5), 3459–3482. https://doi.org/10.3934/jimo.2022094

Priolo, G., Vacondio, M., Dickert, S., & Bonini, N. (2023). The influence of COVID-19 Mortality Rate Formats on Emotional Reactions, Risk perception, and self-protective Behavioral Intentions. Journal of Risk Research. https://doi.org/10.1080/13669877.2023.2259415

Reineholm, C., Ståhl, C., & Lundqvist, D. (2023). Bringing risk back in: managers’ prioritization of the work environment during the pandemic. International Journal of Workplace Health Management, 16(1), 4–19. https://doi.org/10.1108/IJWHM-03-2022-0041

Ren, Z., Zhang, X., & Zhang, Z. (2021). New evidence on COVID-19 and firm performance. Economic Analysis and Policy, 72, 213–225.

Rendón, J. F., Cortés, L. M., & Perote, J. (2023). Prudential regulation and bank solvency based on flexible distributions: An example for evaluating the impact of monetary policy. World Economy, 46(9), 2780–2807. https://doi.org/10.1111/twec.13455

Sharma, B., & Lawrence, D. W. (2014). Top-cited articles in traumatic brain injury. Frontiers in Human Neuroscience, 8, 879.

Srinivasan, R., Jha, A. K., & Verma, N. K. (2023). To talk or not?: An analysis of firm-initiated social media communication’s impact on firm value preservation during a massive disruption across multiple firms and industries. Decision Sciences, 54(4), 410–431. https://doi.org/10.1111/deci.12563

Subramaniam, N., McManus, L., & Zhang, J. (2009). Corporate Governance, Firm Characteristics and Risk Management Committee Formation in Australian Companies. Managerial Auditing Journal, 24(4), 316–339. https://doi.org/10.1108/02686900910948170

Tarighi, H., Hosseiny, Z. N., Akbari, M., & Mohammadhosseini, E. (2023). The moderating effect of the COVID-19 pandemic on the relation between corporate governance and firm performance. Journal of Risk and Financial Management, 16(7), 306.

Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact: Methods and practice (pp. 285–320). Springer.

Wu, K. J., Bin, Y., Ren, M., Tseng, M.-L., Wang, Q., & Chiu, A. S. F. (2022). Reconfiguring a hierarchical supply chain model under pandemic using text mining and social media analysis. Industrial Management and Data Systems, 122(3), 622–644. https://doi.org/10.1108/IMDS-06-2021-0358

Xie, H., Zhang, Y., Wu, Z., & Lv, T. (2020). A bibliometric analysis on land degradation: Current status, development, and future directions. Land, 9(1), 28.

Xu, Q., Hwang, B.-G., Choo, R. Q., Zheng, X., Kong, L., Wang, Q.-C., & Liu, X. (2023). Comparison of construction project risks before and during COVID-19 in Singapore: criticality and management strategies. Construction Management and Economics, 41(10), 875–891. https://doi.org/10.1080/01446193.2023.2211179

Zahry, N. R., McCluskey, M., & Ling, J. (2023). Risk governance during the COVID-19 pandemic: A quantitative content analysis of governors’ narratives on twitter. Journal of Contingencies and Crisis Management, 31(1), 77–91. https://doi.org/10.1111/1468-5973.12412

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2026-01-02

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Managing Uncertainty: Exploring Risk Management during the COVID-19 Pandemic through Bibliometrics Analysis. (2026). The Journal of Management Theory and Practice (JMTP), 6(1), 48-58. https://doi.org/10.37231/jmtp.2025.6.1.469