‘Hey You? Get Off My Cloud’: Evaluation of Cloud Service Models for Business Value within Pharma X
Bibliographic record
Abstract
Recent reports note that managers need to operate at the intersection of business and current innovative technology. Most notably, ‘Strategy is not just informed by technology but powered by it’. The opportunity to evaluate aspects of ‘cloud service models’, as critical new systems, is therefore invaluable. Our research offers a pragmatic view of the characteristics of these technologies and a useful approach for identifying which may be most suitable in relation to the generation of business value. An example is provided of cloud service requirements within a multi-national pharmaceutical company (Pharma X) which is considered as a complex organizational context of significant interest. A highly qualitative methodological approach was adopted from personal interviews with a number of senior managers involved in new technology adoption. The extent of ‘benefits’, ‘risks’, ‘when to use’ and ‘when not to use’ were determined for a variety of common cloud service models to provide a schematic of important issues for evaluation and development. The research is insightful for large private sector multinational organisations which extends an analysis beyond the usual public sector studies. We conclude with lessons learned which demonstrate the most appropriate cloud enabled business models that support senior managers engaged in cloud service processes. Recent reports note that managers need to operate at the intersection of business and current innovative technology. Most notably, ‘Strategy is not just informed by technology but powered by it’. The opportunity to evaluate aspects of ‘cloud service models’, as critical new systems, is therefore invaluable. Our research offers a pragmatic view of the characteristics of these technologies and a useful approach for identifying which may be most suitable in relation to the generation of business value. An example is provided of cloud service requirements within a multi-national pharmaceutical company (Pharma X) which is considered as a complex organizational context of significant interest. A highly qualitative methodological approach was adopted from personal interviews with a number of senior managers involved in new technology adoption. The extent of ‘benefits’, ‘risks’, ‘when to use’ and ‘when not to use’ were determined for a variety of common cloud service models to provide a schematic of important issues for evaluation and development. The research is insightful for large private sector multinational organisations which extends an analysis beyond the usual public sector studies. We conclude with lessons learned which demonstrate the most appropriate cloud enabled business models that support senior managers engaged in cloud service processes. Recent reports note that managers need to operate at the intersection of business and current innovative technology. Most notably, ‘Strategy is not just informed by technology but powered by it’. The opportunity to evaluate aspects of ‘cloud service models’, as critical new systems, is therefore invaluable. Our research offers a pragmatic view of the characteristics of these technologies and a useful approach for identifying which may be most suitable in relation to the generation of business value. An example is provided of cloud service requirements within a multi-national pharmaceutical company (Pharma X) which is considered as a complex organizational context of significant interest. A highly qualitative methodological approach was adopted from personal interviews with a number of senior managers involved in new technology adoption. The extent of ‘benefits’, ‘risks’, ‘when to use’ and ‘when not to use’ were determined for a variety of common cloud service models to provide a schematic of important issues for evaluation and development. The research is insightful for large private sector multinational organisations which extends an analysis beyond the usual public sector studies. We conclude with lessons learned which demonstrate the most appropriate cloud enabled business models that support senior managers engaged in cloud service processes.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.002 | 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".