Digital Disaster Crisis Management: Examining the Influence of Mobile Technology and Organizational Effectiveness on Disaster Governance

Helen Dias Andhini; Abdul Rahman Kadir; Muhammad Yunus Amar; Mursalim Nohong; Suhaily Sudarman

doi:10.3991/ijim.v20i10.61581

Authors

Helen Dias Andhini Hasanuddin University, Makassar, Indonesia
Abdul Rahman Kadir Hasanuddin University, Makassar, Indonesia
Muhammad Yunus Amar Hasanuddin University, Makassar, Indonesia
Mursalim Nohong Hasanuddin University, Makassar, Indonesia
Suhaily Sudarman Hasanuddin University, Makassar, Indonesia https://orcid.org/0009-0003-1619-2350

DOI:

https://doi.org/10.3991/ijim.v20i10.61581

Keywords:

Mobile Technology Acceptance, Crisis Information Sharing, Disaster Response Effectiveness, Crisis Governance, Organizational Efficacy

Abstract

This study examines how mobile technology acceptance and organizational efficacy influence crisis information sharing and how this sharing affects disaster response effectiveness and governance quality. Using a quantitative cross-sectional design, data were collected from 285 Indonesian disaster response personnel and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that technology acceptance (β = 0.34, p < 0.001) and organizational efficacy (β = 0.41, p < 0.001) significantly promote information sharing. Information sharing, in turn, positively impacts response effectiveness (β = 0.52) and governance quality (β = 0.58). However, mediation analysis indicates that information sharing does not mediate all relationships; specifically, it does not mediate the link between technology acceptance and governance quality nor between organizational efficacy and tactical response effectiveness. The model accounts for up to 51% of the variance in governance outcomes. These findings offer a nuanced perspective for disaster management theory, highlighting that while digital tools are important catalysts, they must be integrated with institutional capacity and structured governance to ensure shared information leads to improved disaster outcomes.

References

[1] S. Pilemalm and K. Y. Mojir, "Digitalized cross-sector collaboration for an effective emergency response: Emerging forms of network governance," in Disaster Management and Information Technology: Professional Response and Recovery Management in the Age of Disasters, Cham, Switzerland: Springer International Publishing, 2023, pp. 269–305.

[2] A. Reid, "History and seismology in the Ring of Fire: Punctuating the Indonesian past," in Environment, Trade and Society in Southeast Asia, Leiden, Netherlands: Brill, 2015, pp. 62–77

[3] I. F. Meutia, A. G. Zainal, B. Sujadmiko, M. S. Assalam, and R. A. Putri, "Adaptive management in disaster crisis: Role analysis in cross-sector collaboration," Jàmbá-J. Disaster Risk Stud., vol. 17, no. 1, Art. no. 1830, 2025.

[4] A. Arslan, I. Golgeci, Z. Khan, O. Al-Tabbaa, and P. Hurmelinna-Laukkanen, "Adaptive learning in cross-sector collaboration during global emergency: Conceptual insights in the context of COVID-19 pandemic," Multinat. Bus. Rev., vol. 29, no. 1, pp. 21–42, 2021.

[5] M. B. K. Adobor, “Achieving disaster responsiveness under conditions of dysfunctional humanitarian environment: The role of coopetition and disaster preparedness,” Doctoral dissertation, Brunel Business School, Brunel Univ. London, London, U.K., 2025.

[6] D. Ayuningtyas, S. Windiarti, M. S. Hadi, U. U. Fasrini, and S. Barinda, "Disaster preparedness and mitigation in Indonesia: A narrative review," Iran. J. Public Health, vol. 50, no. 8, pp. 1536–1546, Aug. 2021, doi: 10.18502/ijph.v50i8.6799

[7] S. Karim and E. Gide, "The use of interactive mobile technology to improve the quality of health care services in private and public hospitals in Australia," Int. J. Interactive Mobile Technol. (iJIM), vol. 12, no. 6, pp. 4–18, 2018, doi: 10.3991/ijim.v12i6.9204.

[8] R. An, “The role of digital media in shaping public relations: Developing successful online communication strategies for enterprises,” J. Adv. Humanities Res., vol. 3, no. 3, pp. 51–68, 2024, doi: 10.56868/jadhur.v3i3.246.

[9] S. D. Sabbar, A. R. Kadir, M. Nohong, A. Mannan, O. M. T. Alkanan, and S. A. Anter, "Adoption of mobile learning: Education’s use of app-based learning management systems & ethical implementation," Int. J. Interactive Mobile Technol. (iJIM), vol. 19, no. 18, pp. 175–188, 2025, doi: 10.3991/ijim.v19i18.57611.

[10] K. Meechang, N. Leelawat, J. Tang, A. Kodaka, and C. Chintanapakdee, "The acceptance of using information technology for disaster risk management: A systematic review," Eng. J., vol. 24, no. 4, pp. 111–132, Jul. 2020.

[11] J. Wahyudi, "The acceptance of a smartphone application for disaster: Technology acceptance model approach," in IOP Conf. Ser.: Earth Environ. Sci., vol. 1180, no. 1, May 2023, Art. no. 012002.

[12] P. S. Brar, B. Shah, J. Singh, F. Ali, and D. Kwak, "Using modified technology acceptance model to evaluate the adoption of a proposed IoT-based indoor disaster management software tool by rescue workers," Sensors, vol. 22, no. 5, Art. no. 1866, 2022, doi: 10.3390/s22051866.

[13] M. Wirz, D. Roggen, and G. Troster, "User acceptance study of a mobile system for assistance during emergency situations at large-scale events," in Proc. 3rd Int. Conf. Human-Centric Comput., Aug. 2010, pp. 1–6

[14] C. B. Gabler, R. G. Richey Jr., and G. T. Stewart, "Disaster resilience through public–private short‐term collaboration," J. Bus. Logistics, vol. 38, no. 2, pp. 130–144, 2017, doi: 10.1111/jbl.12154.

[15] Y. Li, L. Shen, and M. Wang, "The implementation effect, blocking factors and relief paths of the policy on cultivating new professional farmers based on the perspective of policy network theory," Int. J. Manag. Thinking, vol. 2, no. 2, pp. 107–122, 2025, doi: 10.56868/ijmt. v2i2.79.

[16] C. F. Huang, J. J. Wang, and T. J. Lin, "Resource sufficiency, organizational cohesion, and organizational effectiveness of emergency response," Natural Hazards, vol. 58, no. 1, pp. 221–234, 2011, doi: 10.1007/s11069-010-9662.

[17] S. H. Hong, S. H. Seo, and W. H. Yi, "Analysis of the moderating effect of disaster management organization type on resilience capability and organizational effectiveness," J. Korean Soc. Hazard Mitig., vol. 20, no. 3, pp. 19–25, 2020.

[18] D. Qiu, B. Lv, Y. Cui, and Z. Zhan, "The role of response efficacy and self-efficacy in disaster preparedness actions for vulnerable households," Nat. Hazards Earth Syst. Sci., vol. 23, no. 12, pp. 3789–3803, 2023, doi: 10.5194/nhess-23-3789-2023.

[19] N. Andreassen, O. J. Borch, and A. K. Sydnes, "Information sharing and emergency response coordination," Safety Sci., vol. 130, Art. no. 104895, Oct. 2020, doi: 10.1016/j.ssci.2020.104895.

[20] B. Nowell, T. Steelman, A. L. K. Velez, and Z. Yang, "The structure of effective governance of disaster response networks: Insights from the field," Amer. Rev. Public Admin., vol. 48, no. 7, pp. 699–715, 2018, doi: 10.1177/0275074017724225.

[21] K. Açıkgül and S. N. Şad, "Mobile technology acceptance scale for learning mathematics: Development, validity, and reliability studies," Int. Rev. Res. Open Distrib. Learn., vol. 21, no. 4, pp. 161–180, 2020.

[22] J. G. Bohn, "Development and exploratory validation of an organizational efficacy scale," Hum. Resour. Develop. Q., vol. 21, no. 3, pp. 227–251, 2010.

[23] Y. I. Lee and Y. Jin, "Crisis information seeking and sharing (CISS): Scale development for measuring publics' communicative behavior in social-mediated public health crises," J. Int. Crisis Risk Commun. Res., vol. 2, no. 1, pp. 13–38, 2019.

[24] H. Y. Li, R. X. Bi, and Q. L. Zhong, "The development and psychometric testing of a Disaster Response Self-Efficacy Scale among undergraduate nursing students," Nurse Educ. Today, vol. 59, pp. 16–20, 2017.

[25] L. A. Doğrusöz and S. Yazıcı, "Measuring organisational governance capacity in healthcare organisations: A scale development and validation study," BMC Health Serv. Res., vol. 25, Art. no. 338, 2025, doi: 10.1186/s12913-025-12445-3.