Interation Between Globalization and Organizational Performance in the Third World: Nigeria in Focus
Bibliographic record
Abstract
This paper is on how the phenomenon of globalization affects or poses a challenge to organisations operating in the Third World countries, especially Nigeria. Building on environment - organisation analysis, this paper explores globalisation – business performance relationship. Globalization acts as a two – edged sword; it slashes the throat of the weak, while as Excalibur, it further strengthens the hand of the strong. Globalization affords all the opportunities that can help Third World countries transform from Third World to First World in one generation. However, Africa has been a marginal participant in the new global order, and watches globalisation as a paradox. As a result of some skewed and embarrassing features such as inadequate skilled manpower, lack of critical social, legal and economic structures, etc, and the challenging forces and propellants of globalization such as technological innovations, economic liberalisation, etc. Third World economies have not gained the advantage of global world economies. These have made Third World economies vulnerable to the manipulations and dictates of the rampaging economies of the First World. They have caused organisations operating in these Third World economies to become victims of the globalization phenomenon thereby, hindering their (organisations) performance. It is the opinion of this paper that Third World countries need to restructure their political, economic, social and technological structures and give priority to technological and knowledge – driven human capital development. This is expedient because critical and knowledge human resource has become the key for productivity in this era of globalization.Key words: Globalization; Organizational Performance; Third World; Good Governance; Critical Knowledge and Skill
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".