Factors influencing flood damage mitigation among micro and small businesses in Kampala, Uganda

Veeravalli, S.G.; Chereni, Simbarashe; Sliuzas, Richard; Flacke, Johannes; Maarseveen, Martin van

doi:10.1016/j.ijdrr.2022.103315

Cited by 3 publications

(5 citation statements)

References 33 publications

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“…It Protection Motivation Theory (PMT) generally states that knowledge affects threat (e.g., perceived risk and perceived severity) and coping appraisal (e.g., self-efficacy). This theory is proven in numerous research papers [57][58][59], including that of Veeravalli et al [60]. They stated that risk perception and self-efficacy involve the judgment of the stakeholder by estimating how much they have and can do to prevent such damage.…”

Section: Conceptual Frameworkmentioning

confidence: 94%

Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach

et al. 2023

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Street crime is one of the world’s top concerns and a surge in cases has alarmed people, particularly women. Related studies and recent news have provided proof that women are the target for crimes and violence at home, outdoors, and even in the workplace. To guarantee protection, self-defense tools have been developed and sales are on the rise in the market. The current study aimed to determine factors influencing women’s intention to purchase self-defense tools by utilizing the Protection Motivation Theory (PMT) and the Theory of Planned Behavior (TPB). The study applied multiple data analyses, Machine Learning Algorithms (MLAs): Decision Tree (DT), Random Forest Classifier (RFC), and Deep Learning Neural Network (DLNN), to predict purchasing and consumer behavior. A total of 553 Filipino female respondents voluntarily completed a 46-item questionnaire which was distributed online, yielding 22,120 data points. The MLAs output showed that attitude, perceived risk, subjective norm, and perceived behavioral control were the most significant factors influencing women’s intention to purchase self-defense tools. Environment, hazardous surroundings, relatives and peers, and thinking and control, all influenced the women’s intention to buy self-defense tools. The RFC and DLNN analyses proved effective, resulting in 96% and 97.70% accuracy rates, respectively. Finally, the MLA analysis in this research can be expanded and applied to predict and assess factors affecting human behavior in the context of safety.

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Section: Conceptual Frameworkmentioning

confidence: 94%

Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach

et al. 2023

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“…Further, most studies on firms' disaster preparedness are qualitative and, thus, cannot be used to draw causal conclusions. Broadly, they find that firms do not sufficiently prepare for disasters for various structural and individual reasons, and some are even reluctant to prepare (Bollettino et al 2020;Howe 2011;Josephson et al 2017;Skouloudis et al 2023;Veeravalli et al 2022).…”

Section: Literaturementioning

confidence: 99%

“…Research on disaster preparedness of micro-enterprises is scant (Howe 2011;Skouloudis et al 2023;Veeravalli et al 2022). While it is understood that most enterprises do not apply any or only a few preparedness measures (Egbelakin et al 2016;Howe 2011;Leitold et al 2021), we know less about the reasons for this inaction.…”

Section: Introductionmentioning

confidence: 99%

“…While it is understood that most enterprises do not apply any or only a few preparedness measures (Egbelakin et al 2016;Howe 2011;Leitold et al 2021), we know less about the reasons for this inaction. Empirical work shows that one of the significant determinants of disaster preparedness is risk perception (Abbas et al 2022;Hashim et al 2021;Kurata et al 2022;Li et al 2023;Veeravalli et al 2022). Using risk perception as an explanatory variable of disaster preparedness would, therefore, not reveal new findings.…”

Section: Introductionmentioning

confidence: 99%

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What explains the disaster preparedness of micro-enterprises? Examining socio-psychological characteristics and information provision

Berkel,

Tarp

2024

WIDER Working Paper

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“…Within a specific administrative area, especially urban centers, sub-optimal locations and newly developed/gentrified neighborhoods coexist, making administrative boundary-based assessment less accurate. SME Climate 2023, 11, 157 2 of 18 vulnerabilities largely stem from poor risk management and adaptation strategies [3,5,14]. Poor risk management can lead to SME failures that, in turn, affect the survivability and resilience of local communities as local businesses sustain livelihoods and create local employment opportunities [15,16].…”

Section: Introductionmentioning

confidence: 99%

Small and Medium-Sized Entrepreneurs’ Perceptions of Flood Loss and Damage in Sri Lanka

Hewawasam

Matsui

2023

Climate

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As climate change has intensified flood risk and damage in many low-lying areas of the world, small and medium-sized enterprises (SMEs), which typically exist in developing countries, have endured high flood risks without much support for relief. This study investigates how SMEs in flood-prone areas of Colombo, Sri Lanka, the largest business hub in the country, have perceived and dealt with flood loss and damage in the past ten years. We conducted field surveys and a questionnaire survey among 60 SME owners in two flood-prone administrative units from March to June 2020. The results show that informal businesses experienced more flood loss and damage than other community members. Also, the community dominated by informal businesses tended to be located closer to potential flood sources. Ownership and awareness about flood insurance were very low in our study areas. Temporary business closure was the most serious loss experienced by informal business communities. These communities depended on personal savings to recover from floods. Our multiple regression analysis found that age, education, and experience significantly influenced SME owners’ perceptions and experiences about floods. After discussing these findings, this paper offers recommendations to mitigate disaster loss and damage to SMEs. In particular, it highlights the importance of community-level awareness and mitigation efforts rather than administrative unit-level mitigation plans. Also, the government needs to register informal businesses by providing a more flexible business registration mechanism.

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Factors influencing flood damage mitigation among micro and small businesses in Kampala, Uganda

Cited by 3 publications

References 33 publications

Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach

Analysis of Factors Affecting Purchase of Self-Defense Tools among Women: A Machine Learning Ensemble Approach

What explains the disaster preparedness of micro-enterprises? Examining socio-psychological characteristics and information provision

Small and Medium-Sized Entrepreneurs’ Perceptions of Flood Loss and Damage in Sri Lanka

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