Corporate Social Responsibility In Global It Outsourcing: A Case Study Of Inter-Firm Collaboration.
Bibliographic record
Abstract
Abstract This paper examines the intersection of corporate social responsibility (CSR) and global information technology outsourcing (GITO). The growing business participation in global CSR standards such as the Global Reporting Initiative, ISO 26000 and the UN Global Compact, demonstrates that CSR issues are important to buyers and providers of outsourcing services. The case study examines the outsourcing relationship between Co-operative Financial Services (CFS) and outsource provider Steria. Specifically we report on how aligned CSR priorities of the buyer and provider may identify opportunities for CSR collaboration. The case uses an analytical lens based on trust theory. The paper contributes practical knowledge of how trust developed in CSR collaboration may provide benefits in the areas of: (1) workforce efficiencies, (2) increased communication, and a (3) higher level of commitment to work through challenges in the outsourcing relationship. We found that by working together, in collaborating on CSR projects that both CFS and Steria built a more robust outsourcing relationship with a higher level of trust which leads to more successful outsourcing outcomes. The paper contributes to improved theoretical understanding of trust in market based inter firm outsourcing relationships and to the “doing well by doing good” discourse in CSR.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".