Does Corporate Social Responsibility Lead to Improve in Firm Financial Performance? Evidence from Malaysia
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
Corporate Social Responsibility (CSR) as a common business practices has only recently established a foothold in developing countries. This paper examines the relationship between CSR and Corporate Financial Performance (CFP) for a Malaysia firms. Malaysia was chosen due to it’s one of worlds developing countries and has undergone radical economic and social change. The objective of this research to determine whether CSR based on environment, community, marketplace and workplace dimension has positive, negative or neutral relationship with CFP. The empirical study used to collect secondary data from corporate annual report for three firms listed in Bursa Malaysia for the period from 2007 to 2011. The data taken and gather by using content analysis. CSR dimension of workplace, community, environment and marketplace is used as independent variable while Return on Asset (ROA) and Return on Equity (ROA) is used as dependent variable. Regression analysis used to test the relationship by using SPSS. Prior studies had produce mixed result but most research found there is positive relationship between CSR and CFP. The result of this study concludes that there is positive relationship between CFP and CSR practices together with Firm Size and Firm Revenue as control variable. As well as, this paper will contribute to finance and accounting literature in identified investment in CSR will lead to firm financial performance or otherwise.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it