The numbers of natural disaster events are continuously affecting human and the world economics. For coping with disaster, several sectors try to develop the frameworks, systems, technologies and so on. However, there are little researches focusing on the usage behavior of Information Technology (IT) for disaster risk management (DRM). Therefore, this study investigates the affecting factors on the intention to use IT for mitigating disaster's impacts. This study conducted a systematic review with the academic researches during 2011-2018. Two important factors from the Technology Acceptance Model (TAM) and others are used in describing individual behavior. In order to investigate the potential factors, the technology platforms are divided into nine types. According to the findings, computer software such as GIS applications are frequently used for simulation and spatial data analysis. Social media is preferred among the first choices during disaster events in order to communicate about situations and damages. Finally, we found five major potential factors which are Perceived Usefulness (PU), Perceived Ease of Use (PEOU), information accessibility, social influence, and disaster knowledge. Among them, the most essential one of using IT for disaster management is PU, while PEOU and information accessibility are more important in the web platforms.
The 2011 Thailand Floods heavily impacted 7 industrial complexes, in which 56.7% were Japanese companies. Many notable companies received severe damage until they had to cease their production. Area Business Continuity Management (Area-BCM) implemented in Thailand stems from this disaster which causes both private and public sectors to think about their business sustainability. The Area-BCM project is an on-going implementation in Thailand aiming to enhance collaboration among stakeholders in industrial areas for coping with upcoming threats. One of the most significant factors before launching a plan is to understand individual attitudes and perceptions pertaining to the Area-BCM project for the best practice, effective and continuous outcomes. This study aims to investigate various factors that affect the perceived usefulness (PU) about implementing Area-BCM. Our proposed research model is developed aligning with the behavioral model and factors influencing flood mitigation consisting of Subjective norms, Experience, Worry about flooding, and Flood hazard knowledge. Questionnaires were distributed to employees in the industrial areas which were flooded in 2011. The developed model was tested by Partial Least Square Structural Equation Modeling (PLS-SEM). The results consequently show that subjective norms and flood hazard knowledge significantly influence perceived usefulness. This can be implied that, in an organization, major thoughts of related people could shape individual perceptions about using a disaster management plan. Moreover, the governmental and local authorities should be a significant force, that helps support plan implementation and educate people about disaster knowledge.
Area-business continuity management (Area-BCM) is a concept that upgrades an individual business continuity management (BCM) to regional management to ensure the resilience of local economics and communities. In order to implement Area-BCM in an industrial park, various stakeholders, such as private companies, infrastructure providers, industrial park operators, disaster management authorities, and local governments, present several challenges. Therefore, this study aims to present the ways to achieve Area-BCM implementation with many stakeholders. The systematic review is conducted to find the critical success factors (CSFs) of Area-BCM. The concept of BCM and supply chain management are applied to search for related articles. Preferred reporting items for systematic reviews and meta-analyses approach is used as a guideline for the quality review. As a result, 14 CSFs are listed and categorized in four groups following the main dimensions of Area-BCM. In addition, we conduct a focus group study and interview experts from the public and private sectors. Their outlook enlightens the importance of collecting factors. Commitment and support from the top management are mentioned as the initial point of implementation. Equally, information and knowledge sharing is key to conveying the Area-BCM framework and related information to stakeholders. Government support is necessary to connect stakeholders through a regional network for disaster management. Lastly, the interrelationship of CSFs is drawn based on experts’ opinions.
A large-scale disaster striking a fundamental infrastructure can disrupt the entire business area. Hence, Area Business Continuity Management (Area-BCM) is proposed to bring together stakeholders in the same area who aim to minimize economic losses and impacts due to a disaster. Its distinctive features consider public–private partnerships, critical external resources, and scalability of risk management. However, Area-BCM is still a long way from being successful as many challenges are found. This study aimed to build a model of success factors and analyze relationships among factors for Area-BCM implementation. The total interpretive structural modeling technique was utilized to construct a hierarchical model. Interviews and questionnaire surveys were performed for data collection. A process-automated tool was used to ensure accuracy and eliminate complicated calculations. The results indicate the foundation factors and critical suggestions to be grounded for success. The outstanding findings are the interpreted interrelationships in the final model. Moreover, cross-impact matrix multiplication applied to classification approach categorizes factors into four groups based on driving and dependence powers. The outcomes provide strong implications for Area-BCM practitioners or executors, helping them prioritize attention and prepare suitable strategies for successful implementation.
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