Consumers’ Perception on Organisational Corporate Social Responsibility Practices and its Implications on Consumer Attitude: Evidence from the Malaysian Telecommunication Industry
Bibliographic record
Abstract
This paper aims at investigating consumers’ perception on the Corporate Social Responsibility (CSR) practices of the telecommunication service companies in Malaysia, and its antecedent to consumer attitude. The local telecommunication service providers have emphasized on service quality, stakeholder value, corporate reputation, and innovation to achieve good business performance. However, little is known about the contribution of service quality, stakeholder value, corporate reputation, and innovation on the effectiveness of organisational CSR practices. Furthermore, lack of previous studies that have investigated the impact of organisational CSR practices on consumer attitude, particularly in the context of Malaysian telecommunication industry. With the adoption of structural equation modeling approach and survey method, a total of 360 samples comprising the prepaid and postpaid mobile consumers were obtained for this study. The results shown that consumers’ perception on service quality and stakeholder value had significant relationship with CSR practices. However, consumers’ perception on corporate reputation and innovation had no significant relationship with CSR practices. CSR practices was positively related to consumer attitude. In the theoretical implications, service quality and stakeholder value variables were found as important elements in the proponents of Strategic CSR Theory. In the managerial implications, this study recommended that the telecommunication service providers should highly focus on more effective planning and implementation of CSR practices through better integration of CSR in its core business functions and value chain system, diversification of CSR scope and stakeholders engagement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".