Does CSR matter in the pharmaceutical distribution industry?
Bibliographic record
Abstract
Purpose Given the important role of corporate social responsibility (CSR) in today’s business world, this study aims to investigate how it affects the performance of pharmaceutical distribution companies by using the balanced scorecard (BSC). Design/methodology/approach Drawing upon the existing literature, a questionnaire consisting of 32 questions was prepared and distributed to examine ongoing practices and to probe uninvestigated domains related to CSR. To confirm the efficiency of the research model and the accuracy of the measurement model – which was utilized to examine the correlation between different variables – variable scores were acquired from a national study and were entered into a structural equation model. Findings Analysis of 933 completed questionnaires revealed the existence of large correlation between subsets of the considered dimensions. The questionnaire contained five underlying dimensions: employee relations, corporate governance, societal concern, economic and financial concern and environmental concerns. All CSR variables can be condensed into these five dimensions, which are the main features of the CSR model proposed for the Iranian pharmaceutical distribution companies. Not only did the results support the research model but also indicated that CSR’s impact on BSC and its four components – financial perspective, customer perspective, internal process perspective and learning and growth perspective – was both positive and significant. Practical implications This paper identifies five dimensions through which CSR practices can effect positive changes in an organization’s performance in relation to the four BSC perspectives. Thus, in focusing on these dimensions, a company increases its likelihood of enhancing its performance and, consequently, realizing significant gains. In addition, as managers play the most significant role in CSR implementation, they should support all associated practices to achieve their strategic goals. Originality/value Pharmaceutical distribution companies tend to apply CSR – which is commonly described as informal and voluntary humanitarian activities – to different domains, including the workplace, marketplace, community and environment. This study contributes to the existing literature by shedding light on various domains in which CSR practices are applied to enhance organizational success in pharmaceutical distribution companies.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".