Corporate Social Responsibility on the Performance of Private Telecommunication in Nigeria (A Study of Mtn)
Bibliographic record
Abstract
The study examined the effect of corporate social responsibility on the performance of private telecommunication Nigeria (A study of MTN telecommunication Plc). Specifically, the study examine the relationship between economic expectation of corporate social responsibility and the performance of telecommunication industry; evaluate the relationship between legal expectation of corporate social responsibility and the performance of telecommunication industry; investigate the relationship between ethical expectation of corporate social responsibility and the performance of telecommunication and ascertain the relationship between discretional/ philanthropic expectation of corporate social responsibility and the performance of telecommunication industry. The project work employed primary data instruments sourced through 40 self administered questionnaires of which all were collected and analysed using the Pearson Monument Coefficient Correlation Model. The result of finding established that there is statistical significant relationship between economic expectation of corporate social responsibility and performance of telecommunication industry (r-cal 0.564, P 0.05). There is significant relationship between discretional/philanthropic expectation of corporate social responsibility and the performance of telecommunication industry (r-cal 515, P<0.05). The study concluded that corporate social responsibility significantly impact performance of telecommunication industry in Nigeria. Based on the conclusion, the study recommended that CSR activities should be considered as a nation-wide initiative in order to support other initiatives and other regions and not just small groups of beneficiaries or customers for that matter. The study further suggested that organization in the community and the individuals should begins to see themselves as inclusive stakeholders in the wellbeing and welfare of the organization and thus less likely to do anything or take any action that may likely hurt the interest of the organization, thereby promoting corporate efficiency and serving as avenues to reach out to more market segment.
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".