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The role of Management Information Systems (MIS) in disaster management and
determinants of the adoption of MIS-based services for disaster management have not
been adequately investigated in the context of Bangladesh yet. This fact leaves a blank
space in the knowledge of the application of MIS in disaster management. However, this
gap needs to be addressed to align with the government’s plans of making use of MIS to
fulfill its objectives, such as mitigating and managing disaster events efficiently.
Conversely, it's widely recognized that Bangladesh, situated in South Asia, is a country
with low elevation, shaped by the deltas of the Ganges, Brahmaputra, and Meghna rivers.
This geographical characteristic makes it susceptible to recurrent disasters. Therefore,
some extensive changes have taken place, in terms of policy and IT infrastructure
development for disaster management, over the last decade in Bangladesh. Sequentially,
the need for an integrated MIS system for efficient disaster management as well as proper
coordination among different governing bodies and stakeholders is realized more than
ever.
While a number of previous studies, which are specific to the Bangladesh context,
have focused on disaster management in terms of context-specific solutions, gender
inclusion, supply chain, policy, community-based disaster management, ICT integration,
and so on, no studies have focused on the application of MIS in disaster management in
terms of its roles and adoption by the users. Therefore, the major objective of the present
study was to investigate the role of MIS in disaster management in Bangladesh. In this
process, this study investigated the elements that impact end-users' acceptance of MIS
based services for disaster management. Concurrently, the requirements and users’
perceived benefits regarding the integration of MIS in disaster management were also
identified.
The study was conducted through a mixed-method approach, consisting of both
qualitative and quantitative studies. The qualitative study was conducted to identify the
roles of MIS in disaster management by finding the perceived benefits of the use of MISbased
services for disaster management through Key Informants Interviews (KII) and
Focus Group Discussions (FGD). The participants of the 12 KIIs where the officials or
stakeholders from different disaster management-related organizations, whereas, the participants in four FGDs were the end-users. Then, the researcher purposively selected
the respondents whom at least used MIS-based services for disaster management was
surveyed. Also, a total number of 815 respondents was identified as the sample for the
quantitative study following purposive sampling. A structured questionnaire was used to
collect data for the quantitative study. On the other hand, the semi-structured, checklist
with open-ended questions was used for the qualitative study.
The findings from the thematic analysis of KIIs reveal four major roles of MIS
services for disaster management that are perceived by stakeholders. The roles are: 1)
information access for disaster management, 2) strategic planning in the disaster
management process, 3) operational management in disaster events, and 4) disaster risk
assessment in disaster events. Similarly, the thematic analysis of FGDs reveals four major
roles of MIS services for disaster management that are perceived by end-users. These
are 1) affordability in disaster management, 2) connectedness in disaster events, 3)
coordination in disaster events and 4) improvement in decision-making ability in disaster
events.
In the study, the literature and theory review helped the researcher to formulate a
coherent set of hypotheses to identify the factors that influence the end-users in using
MIS-based services for disaster management. Also, based on the Technology Adoption
Model (TAM) and the Diffusion of Innovation Theory (DOI) model, a conceptual framework
was proposed and tested to explain the variation in the actual use of MIS-based services
for disaster management. For testing the conceptual framework, the researcher used
Partial Least Squares Structural Equation Modeling (PLS-SEM).
The hypotheses testing reveals that except trialability (TR) (t = 0.948, β = 0.130, p
> 0.05), the Perceived usefulness (PU) (t = 5.139, β = 0.601, p < 0.01), Perceived ease
of use (PEoU) (t = 7.551, β = 0.288, p < 0.01), Behavioural intention (BI) (t = 11.326, β =
0.234, p < 0.05), Relative advantage (RA) (t = 9.112, β = 0.595, p < 0.05), Compatibility
(Com) (t = 14.336, β = 0.489, p < 0.05), Complexity (Comx) (t = 5.962, β = -0.188, p <
0.05), and Observability (Ob) (t = 4.672, β = 0.446, p < 0.05) factors influence the adoption
of MIS based services for disaster management by the end-users in Bangladesh. On the
other hand, the structural model analysis tested the fitness of the model, where the R-squared value for the Actual Use factor was 0.593, which implies that the proposed
conceptual model can explain up to 59.3 percent of the variance in the actual use.
The present study provides several significant implications which would help to
make use of MIS for disaster management. Knowing the factors influencing the adoption
of MIS-based services for disaster management by the users and their perceived benefits
will provide a broader knowledge of how to enhance the role of MIS in disaster
management in Bangladesh. Other implications include that the providers of MIS-based
services for disaster management should develop user-friendly services. Finally, the study
is significant as the findings of the study not only provide important knowledge of the
influencing factors in adopting MIS-based services for disaster management and the
perceived user benefits by using MIS-based services but also no previous study with a
similar objective was conducted in Bangladesh to enhance the role of MIS in disaster
management. By fulfilling this research gap, this study contributes to the country’s
objectives regarding Sustainable Development Goals (SDG), particularly, SDG 2
(strengthen capacity for adaptation to climate change), SDG 11 (decrease the economic
losses caused by disasters), and SDG 13 (combat climate change and its impacts). |
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