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Record W6991853908

The impact of culture on entrepreneurship - the case of Sub-Saharan Africa

2023· dissertation· en· W6991853908 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNottingham Trent University's Institutional Repository (Nottingham Trent Repository) · 2023
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
FundersTrent UniversityNottingham Trent University
KeywordsEntrepreneurshipLanguage changeDelphi methodTest (biology)Delphi
DOInot available

Abstract

fetched live from OpenAlex

The increasingly important role that entrepreneurship plays in national economies continues to receive growing attention in the literature (OECD, 2016). What drives individuals to become entrepreneurs remains an ongoing topic of interest in academic research on entrepreneurship. While a significant number of studies have identified micro-level explanations, such as traits and economic conditions affecting entrepreneurship, research has also suggested that culture might play a role, but a paucity of studies have explored this in Sub-Saharan Africa (SSA) (Anambane & Adom 2018; Anlesinya et al. 2019; Darley & Blankson 2020; Igwe & Icha-Ituma 2020). Against this background, there is a lack of studies on entrepreneurship and culture in the SSA context.
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\nThis study examines the impact of culture on entrepreneurship in seven former British colonies in SSA, namely Botswana, Ghana, Malawi, Nigeria, Uganda, Zambia and Zimbabwe. Building on Ronald Inglehart’s (1997) Post-materialism theory, a sequential explanatory mixed-method was used for this study. Thus, using data from GEM and Afrobarometer, regression analysis was performed to empirically test a series of hypotheses. Subsequently, 14 entrepreneurship experts were interviewed using a modified Delphi policy to get a more nuanced understanding of the results obtained in the quantitative phase.
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\nOne of the key findings is that corruption has a positive impact on individual entrepreneurs, as it helps them to overcome bureaucracy, while on the other hand, it has a negative impact on entrepreneurs at the national level as it imposes costs on businesses.
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\nThis finding contrasts with many studies that have found a negative association between corruption and entrepreneurship at both the individual and country levels. Given this insight, the study recommends the need for specific training to enable entrepreneurs to deal with corruption at an individual level. One way to achieve this is through literacy by educating the entrepreneurs about their rights, and the need to report corruption in order to restore integrity and create a competent public service system.
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\nThis study contributes to the existing literature in three ways. Firstly, the study contributes to the cultural and entrepreneurial literature by providing a developing-country perspective based on the SSA context. To this end, the study develops a theoretical framework on the relationship between cultural constructs of entrepreneurship that applies to the SSA context. Second, in the context of the methodology used, the study is one of the few studies in SSA that uses a mixed-methods approach, to better understand the impact of the different cultural measures on entrepreneurial behaviour due to its robustness.
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\nFurthermore, the study extends existing studies of entrepreneurship that have focused on individual and country levels. The multi-level analysis in this study represents an important theoretical advancement in the literature that measures the impact of culture on entrepreneurship, since the process of business creation involves a connection between individuals and their environment, as studies embracing both levels of analysis prove to be beneficial.
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\nWhile the findings and recommendations in this study are based on the examination of seven countries in SSA, they have broader applicability to developing countries. However, the implementation of the proposed recommendations must be tailored to the circumstances of each country.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.239
Teacher spread0.223 · 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