IDEAS home Printed from https://ideas.repec.org/a/spr/aodasc/v11y2024i4d10.1007_s40745-023-00499-9.html
   My bibliography  Save this article

Statistical Modelling for Pandemic Crisis Management in Universities

Author

Listed:
  • Shayan Frouzanfar

    (Islamic Azad University)

  • Maryam Omidi Najafabadi

    (Islamic Azad University)

  • Seyed Mehdi Mirdamadi

    (Islamic Azad University)

Abstract

The purpose of this research is to explain the crisis management model of agricultural faculties in pandemic conditions. This descriptive-correlation research was conducted using a survey method. The staff and teachers of the agricultural faculties from universities in the Tehran province (493 people) constitute the statistical population of this research. Using Cochran's relationship and the size of the statistical population, the number of samples was estimated to be 240, and the samples were selected using the stratified random sampling method. The main tool of this research was a researcher-made questionnaire whose validity and reliability were tested and confirmed. In order to analyze data and test research hypotheses, structural equation modeling with a partial least squares approach and PLS Smart software were used. The results showed that formulation of laws and policies with a path coefficient of 0.137, diversification of financial resources with a path coefficient of 0.323, development and strengthening of infrastructure with a path coefficient of 0.245, communication with a path coefficient of 0.102, and human resources management with a path coefficient of 0.363 have significantly positive impacts on the pandemic crisis management, which directly explained 84.8% of the changes related to the variable of pandemic crisis management in the university. Moreover, pandemic crisis management at the university has a positive and significant effect on the sustainability of higher education with a path coefficient of 0.453, and it has the ability to predict 20.5% of changes in the sustainability of higher education.

Suggested Citation

  • Shayan Frouzanfar & Maryam Omidi Najafabadi & Seyed Mehdi Mirdamadi, 2024. "Statistical Modelling for Pandemic Crisis Management in Universities," Annals of Data Science, Springer, vol. 11(4), pages 1459-1481, August.
    • Handle: RePEc:spr:aodasc:v:11:y:2024:i:4:d:10.1007_s40745-023-00499-9
    DOI: 10.1007/s40745-023-00499-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40745-023-00499-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40745-023-00499-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. S. N. Kostina, 2021. "Is the infrastructure of regional universities ready to meet the challenges of digital transformation?," University Management: Practice and Analysis, Federal State Autonomous Educational Institution of Higher Education «Ural Federal University named after the first President of Russia B.N.Yeltsin»; Non-Commercial Partnership “University Management: Practice and, vol. 25(3).
    2. Thomas Beery, 2020. "What We Can Learn from Environmental and Outdoor Education during COVID-19: A Lesson in Participatory Risk Management," Sustainability, MDPI, vol. 12(21), pages 1-12, October.
    3. Ruchi Verma & Vivek Kumar Sehgal & Nitin, 2016. "Computational Stochastic Modelling to Handle the Crisis Occurred During Community Epidemic," Annals of Data Science, Springer, vol. 3(2), pages 119-133, June.
    4. Benjamin D. Trump & Igor Linkov, 2020. "Risk and resilience in the time of the COVID-19 crisis," Environment Systems and Decisions, Springer, vol. 40(2), pages 171-173, June.
    5. Ritchie, Brent W. & Jiang, Yawei, 2019. "A review of research on tourism risk, crisis and disaster management: Launching the annals of tourism research curated collection on tourism risk, crisis and disaster management," Annals of Tourism Research, Elsevier, vol. 79(C).
    6. Carnevale, Joel B. & Hatak, Isabella, 2020. "Employee adjustment and well-being in the era of COVID-19: Implications for human resource management," Journal of Business Research, Elsevier, vol. 116(C), pages 183-187.
    7. Vali Borimnejad & Sahar Dehyouri, 2022. "Content Analysis of the Economic Problems of Covid-19 Disease on Businesses: A Case Study of Tehran Province, Iran," Annals of Data Science, Springer, vol. 9(5), pages 1069-1083, October.
    8. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
    9. Coombs, W. Timothy & Laufer, Daniel, 2018. "Global Crisis Management – Current Research and Future Directions," Journal of International Management, Elsevier, vol. 24(3), pages 199-203.
    10. Dámaris Cuadrado & Jesús F. Salgado & Silvia Moscoso, 2019. "Prevalence and Correlates of Academic Dishonesty: Towards a Sustainable University," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    11. Herojit Singh & Abhijnan Das & Soumik Dey & Lakshmi Narsimhaiah & Pramit Pandit & Kanchan Sinha & P. K. Sahu & P. Mishra, 2023. "A Study on Academic Attainment of Agriculture Students and its Correlates: A Dummy Regression Approach," Annals of Data Science, Springer, vol. 10(1), pages 129-152, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyundong Nam & Taewoo Nam, 2021. "Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Ni, Dan & Jiwen Song, Lynda & Zheng, Xiaoming & Zhu, Jinlong & Zhang, Mengyi & Xu, Lingxiao, 2022. "Extending a helping hand: How receiving gratitude makes a difference in employee performance during a crisis," Journal of Business Research, Elsevier, vol. 149(C), pages 967-982.
    3. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    4. Leon John Mach, 2021. "Surf Tourism in Uncertain Times: Resident Perspectives on the Sustainability Implications of COVID-19," Societies, MDPI, vol. 11(3), pages 1-15, July.
    5. Heba Soltan Mohamed & M. Masoom Ali & Haitham M. Yousof, 2023. "The Lindley Gompertz Model for Estimating the Survival Rates: Properties and Applications in Insurance," Annals of Data Science, Springer, vol. 10(5), pages 1199-1216, October.
    6. Isabel Marques & Zélia Serrasqueiro & Fernanda Nogueira, 2021. "Managers’ Competences in Private Hospitals for Investment Decisions during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    7. Xie, Junyi & Ifie, Kemefasu & Gruber, Thorsten, 2022. "The dual threat of COVID-19 to health and job security – Exploring the role of mindfulness in sustaining frontline employee-related outcomes," Journal of Business Research, Elsevier, vol. 146(C), pages 216-227.
    8. Sangeeta Gupta & Poonam Devdutt & Urmila Jagadeeswari Itam, 2022. "Centrality of psychological well-being of IT employees during COVID-19 and beyond," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 49(4), pages 365-380, December.
    9. Bui, Huong T. & Saito, Hiroaki, 2022. "Resource convergence for post disaster recovery," Annals of Tourism Research, Elsevier, vol. 93(C).
    10. Roberto Moro-Visconti & Salvador Cruz Rambaud & Joaquín López Pascual, 2023. "Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    11. Tian Wang & Zhaoping Yang & Xiaodong Chen & Fang Han, 2022. "Bibliometric Analysis and Literature Review of Tourism Destination Resilience Research," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    12. Maria Polorecka & Jozef Kubas & Pavel Danihelka & Katarina Petrlova & Katarina Repkova Stofkova & Katarina Buganova, 2021. "Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
    13. Mansoureh Beheshti Nejad & Seyed Mahmoud Zanjirchi & Seyed Mojtaba Hosseini Bamakan & Negar Jalilian, 2024. "Blockchain Adoption in Operations Management: A Systematic Literature Review of 14 Years of Research," Annals of Data Science, Springer, vol. 11(4), pages 1361-1389, August.
    14. M. Sridharan, 2023. "Generalized Regression Neural Network Model Based Estimation of Global Solar Energy Using Meteorological Parameters," Annals of Data Science, Springer, vol. 10(4), pages 1107-1125, August.
    15. Jang, Seongsoo & Park, Jin Suk & Choi, Youngseok Thomas, 2022. "Organizational resource and resilience in tourism," Annals of Tourism Research, Elsevier, vol. 93(C).
    16. Syamsul Hadi & Ana Faridiana & Kusuma Chandra Kirana & Ambar Lukitaningsih & Christina Heti Tri Rahmawati & Eni Purnasari & Nabila Wahyuningtyas, 2024. "Political Skill and Transactional Leadership on Employee Performance: The Mediating Effect of Organizational Work Culture," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 112-129.
    17. Nadia Kabbara & Hale Ozgit, 2023. "Effectiveness of resource management of Lebanese NGOs in response to COVID-19 and the Syrian crisis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    18. Amaal Elsayed Mubarak & Ehab Mohamed Almetwally, 2024. "Modelling and Forecasting of Covid-19 Using Periodical ARIMA Models," Annals of Data Science, Springer, vol. 11(4), pages 1483-1502, August.
    19. Xueyan Xu & Fusheng Yu & Runjun Wan, 2023. "A Determining Degree-Based Method for Classification Problems with Interval-Valued Attributes," Annals of Data Science, Springer, vol. 10(2), pages 393-413, April.
    20. Shu Da & Silje Fossum Fladmark & Irina Wara & Marit Christensen & Siw Tone Innstrand, 2022. "To Change or Not to Change: A Study of Workplace Change during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(4), pages 1-15, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aodasc:v:11:y:2024:i:4:d:10.1007_s40745-023-00499-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.