Review of Finance and Investment in Disaster Resilience in the Built Environment

Adeniyi, Onaopepo; Perera, Srinath; Collins, Andrew

doi:10.3846/1648715x.2016.1185476

Cited by 10 publications

(6 citation statements)

References 27 publications

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“…The COVID-19 phase had been a very challenging time for the business community. These articles highlighted the resilience path Name of articles Review of finance and investment in disaster resilience in the built environment (Adeniyi et al, 2016) Social capital and community resilience (Aldrich and Meyer, 2015) Continuous learning/learning/ knowledge Disaster resilience Yes Community resilience Yes Social resilience Disaster management digitally transformed: Exploring the impact and key determinants from the UK national disaster management experience (AlHinai, 2020) Agility and resilience as antecedents of supply chain performance under moderating effects of organisational culture within the humanitarian setting: a dynamic capability view (Altay et al, 2018) Supply chain readiness, response and recovery for resilience (Chowdhury et al, 2016) Measuring social resilience: trade-offs, challenges and opportunities for indicator models in transforming societies (Copeland et al, 2020) Measuring the Disaster Resilience of an Urban Community Using ANP-FCE Method from the Perspective of Capitals (Cui and Li, 2019) Supply network resilience: a systematic literature review and future research (Datta, 2017) Disaster City Digital Twin: a vision for integrating artificial and human intelligence for disaster management (Fan et al, 2021) Harnessing informal education for community resilience (Feng et al, 2018) Infrastructure resilience assessment, management and governancestate and perspectives (Heinimann and Hatfield, 2017) The effect of social media on the dynamics of (self) resilience during disasters: a literature review (Jurgens and Helsloot, 2018) Resilience performance scorecard: measuring urban disaster resilience at multiple levels of geography with case study application to Lalitpur, Nepal (Khazai et al, 2018) Implementing capacity development for disaster risk reduction as a social learning system (Kong et al, 2020) Yes Yes through community-led approaches in the aftermath of the 2011 disasters in Japan (Lin et al, 2018) organisational resilience (Ma et al, 2018) A collaboration-resilience framework for Yes disaster management supply networks: a case study of the Philippines (Medel et al, 2020) Towards developing a model for the Yes evaluation of hospital disaster resilience: a systematic review preprint (Ostadtaghizadeh et al, 2019) Top-down assessment of disaster Yes Yes Yes resilience: a conceptual framework using coping and adaptive capacities (Parsons et al, 2016) Preparedness and community resilience Yes Yes Yes in disaster-prone areas: cross-sectoral collaborations in South Louisiana, 2018…”

Section: Emphasis On Continuous Learningmentioning

confidence: 99%

“…The COVID-19 phase had been a very challenging time for the business community. These articles highlighted the resilience path Review of finance and investment in disaster resilience in the built environment (Adeniyi et al, 2016) Yes Social capital and community resilience (Aldrich and Meyer, 2015) Yes Disaster management digitally transformed: Exploring the impact and key determinants from the UK national disaster management experience (AlHinai, 2020)…”

Section: Emphasis On Continuous Learningmentioning

confidence: 99%

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Enhancing business community disaster resilience. A structured literature review of the role of dynamic capabilities

Sinha

Ola

2021

CRR

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PurposeThe purpose of the current literature reviews to contribute to the study of organisational resilience. The study intends to understand the role of dynamic capability flow in creating more resilient business communities. The study tries to relate to how continuous learning enables business communities to plan for, respond to and bounce back from disasters.Design/methodology/approachA structured literature review of 38 empirical studies indicates organisational resilience and highlights the dynamic attributes of organisational resilience and the importance of knowledge interactions and information sharing.FindingsContinuous learning results in complex dynamic capability manifested through research and innovations, technological implementations, social learnings and community knowledge sharing. This clearly emphasises the role of dynamic capabilities in fostering disaster resilience in organisations and business communities.Research limitations/implicationsResearch limitations on continuous learning can be cited as to incorporate case study methods related to organisational experiences during the COVID-19 pandemic while also reviewing digital knowledge transfer strategies and influencing factors.Practical implicationsThe study for fostering resilience in the business ecosystem needs to be embedded in the continuous learning process, and it also includes knowledge sharing and collaboration, both externally and internally, for the business community.Social implicationsSocial implications for this study relate to the seamless flow of the knowledge transfer and knowledge sharing process. The dynamic process of organisational and the business community resilience is a key outcome of this knowledge sharing and knowledge transfer process.Originality/valueA conceptual framework was developed from the review, emphasising how dynamic capabilities through continuous learning enhance business community resilience.

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Section: Emphasis On Continuous Learningmentioning

confidence: 99%

Section: Emphasis On Continuous Learningmentioning

confidence: 99%

Enhancing business community disaster resilience. A structured literature review of the role of dynamic capabilities

Sinha

Ola

2021

CRR

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“…On the other hand, inadequate resources impose additional pressure on the organization. In such situations, portfolio managers share the scarce resources among the projects such that the organization’s strategies are realized (Adeniyi et al , 2016).…”

Section: Multi-project Environmentmentioning

confidence: 99%

Introducing a fuzzy MCDM model for financial management in multiple project environments

Afshar

Zenozi²

2021

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Purpose Statistics in the construction industry show that lack of timely injection of funds to projects by clients is one of the common problems confronted by contractors. This problem is intensified when contractors construct multiple projects simultaneously. In these situations, it is rational that contractors share their financial resources among projects according to project conditions and the firm’s vision. This study aims to propose a fuzzy multi-criteria decision making (MCDM) model for financial management in multiple project environments. Design/methodology/approach First, the project evaluation criteria are defined using exploratory study and interviews with experts. Second, the weights of criteria are determined based on company strategies. Then, each of the projects are evaluated in each criterion. Finally, the fuzzy weighted average approach is used to determine the proportion of each project from the financial resources. Findings The proposed model is prepared as an applicable model for general contractors to assign financial recourses among the multiple projects optimally. Originality/value As a lack of applicable model assigning the financial resources among the multiple projects, this study is one of the first research studies that proposed a fuzzy MCDM model to assign financial resources to multiple projects optimally.

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“…The Sendai Framework for DRR (SFDRR), which UN member states agreed to in 2015, shows the paradigm of DRR and emphasizes investing in DRR as one of the four priority actions [ 5 ]. However, continuously increasing investments in DRR is a challenge [ 6 , 7 , 8 ]. Governments are often forced to reduce flood protection investments or divert parts of this to other sectors because of external factors such as economic recessions and wars.…”

Section: Introductionmentioning

confidence: 99%

Disaster Risk Reduction Funding: Investment Cycle for Flood Protection in Japan

Ishiwatari

Sasaki

2022

IJERPH

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Background: Investment in disaster risk reduction is crucial in order to mitigate disaster damage. However, for many countries, particularly developing ones, financing investment in disaster risk reduction is challenging. This study aims to examine the factors that affect investments in flood protection and the approaches to securing investments by analyzing investment trends in Japan. Methods: This study examines 150 years of flood protection and investment cycles that helped reduce damages in Japan. The dataset of flood protection budgets, flood damage, and national income since 1878 was created from public statistics. Documents and reports concerned with disaster management, river management, and finance were examined. Results: The study found five investment cycles of flood protection from the late 19th century to the present. The country established financing mechanisms, such as legislation and long-term plans, following major flood disasters. However, external shocks such as war, economic recession, disaster, and tightened national finance had a major impact on these investments. The fluctuations in the budget created an investment cycle. The country had increased its budget to 0.9% of its national income in the 1990s. It often experienced flood damage accounting for over 1% of the national income until 1961, but succeeded in decreasing the damage to less than 1%, and currently it is limited to less than 0.4%. Conclusions: The financial mechanisms established from the long-term perspective could support an increase in budgets for flood protection, leading to a decrease in damage. However, established financing mechanisms may weaken the financial flexibility of the country.

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Review of Finance and Investment in Disaster Resilience in the Built Environment

Cited by 10 publications

References 27 publications

Enhancing business community disaster resilience. A structured literature review of the role of dynamic capabilities

Enhancing business community disaster resilience. A structured literature review of the role of dynamic capabilities

Introducing a fuzzy MCDM model for financial management in multiple project environments

Disaster Risk Reduction Funding: Investment Cycle for Flood Protection in Japan

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