International business research challenges in Africa
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.
Bibliographic record
Abstract
Purpose This paper aims to explore the challenges researchers in/on Africa face when conducting research on the continent. It examines the reasons behind Africans’ relatively limited contribution to the business literature in the global sphere and why not culturally sensitive and nuanced research on Africa is spreading unchallenged. Design/methodology/approach The study combines knowledge creation and institutional theories to explain why African business scholars struggle in researching the continent and in contributing significantly to global knowledge creation. It also explores the debate about why Africa’s narratives in business seem dominated by not culturally sensitive and nuanced voices and approaches. It uses a participant observation method. Findings The study found that African scholars have not yet contributed significantly to global knowledge creation because of Africa’s institutional weaknesses and lack of government support for research, coupled with challenges at the interviewing, organizational and scholars’ levels. The study points to the specificities of the continent as well as to African interviewees’ particularities and the type of interactions with the researchers. The paper proposes new avenues to address those multilevel challenges and offers key lessons for future studies. Originality/value To the best of the authors’ knowledge, this study is the first to systematically investigate the fundamental reasons behind business research challenges in/on Africa from knowledge creation and institutional standpoints. This study also contributes to the growing debate on Africans’ meager contribution to business literature as well as the controversy regarding culturally sensitive vs not culturally sensitive knowledge creation on Africa. Finally, it proposes avenues to understanding and overcoming those challenges.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it