Evidence map›Paper›PMID 39507559›Full record

ArticleJamba (Potchefstroom, South Africa)2024

Disaster recovery and business continuity: A case of MSMEs in Dar es Salaam.

Tumpale Sakijege

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Tumpale SakijegeDepartment of Urban and Regional Planning, School of Spatial Planning and Social Sciences, Ardhi University, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0001-6901-7060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of micro, small and medium enterprises (MSMEs) in developing countries operate in informal settlements. Most of these settlements exist in hazardous environment despite being affected by floods. This research discusses the scarcity of knowledge on the resilience of businesses operating in Kigogo flood-prone informal settlements in Dar es Salaam. It especially focusses on MSMEs. Although recovery of MSMEs has been intensively studied worldwide, in Tanzania it is downgraded. This article is set to bridge this glaring gap focusing on MSMEs recovery after floods. The research methodology employed quantitative research design by completing questionnaires through interviews. A total of 202 owners of MSMEs were interviewed. While content analysis was used to analyse qualitative data, the research further employed a logistic unit model to analyse factors explaining recovery of MSMEs after floods. The study revealed a statistically significant association between the recovery of MSMEs and suitable plans for safeguarding business, personal savings, profit (saving from business) and government support. Other factors include family and friend's support, business continuity training, longevity in business operation, pre-disaster mitigation measures, critical destruction to business facilities, and running several businesses. Strength, Weaknesses, Opportunities and Threat (SWOT) analysis of the business environment where MSMEs operate revealed a number of issues that inform policymakers, urban planners and environmentalists on what can be done to enhance recovery and hence promote sustainable development. Contribution: The study adds to the body of knowledge by drawing attention to factors that predict disaster recovery of MSMEs operating in flood-prone informal settlements.

Indexed as

business recoverydisaster recoveryfloodKigogoMSMEs

Identifiers

PMID39507559
PMCPMC11538349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.