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Record W2898424933 · doi:10.1080/23322373.2018.1517542

The Informal Economy in pan-Africa: Review of the Literature, Themes, Questions, and Directions for Management Research

2018· article· en· W2898424933 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAfrica Journal of Management · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsInformal sectorPortugueseEconomyDemocracyPhenomenonPolitical scienceEconomic growthKnowledge economyThe RepublicDevelopment economicsEconomics

Abstract

fetched live from OpenAlex

The informal economy is an important phenomenon in African countries, accounting for up to 90% of the jobs in the lowest income Sub-Saharan countries such as Central African Republic and the Democratic Republic of the Congo. Management research about Africa, therefore, cannot be complete without a closer look at and a better understanding of the informal economy on the continent, the opportunities it brings and challenges it faces. Research on the informal economy started during the early 1970s has been conducted mainly by economists and sociologists. Managerial and organizational knowledge of the informal economy in Africa, however, remains largely underdeveloped. We reviewed the literature on the informal economy taking a pan-African approach by surveying 102 studies published from 1992 to 2017 in English, French and Portuguese language outlets. We summarize the current state of the literature, identify seven general themes, raise pertinent research questions, and suggest directions to further advance research about the informal economy with a focus on management and organization knowledge in all of Africa.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.842
Threshold uncertainty score0.198

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.063
GPT teacher head0.298
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it