Strategic innovative development of hydrocarbon pipeline transportation enterprises: foreign experience
Bibliographic record
Abstract
The essence of strategic innovative development is studied, with several main approaches to explaining this phenomenon in the activities of enterprises identified — factor-based, functional, systemic ones, in conjunction with efficiency — each defining "strategic innovative development" from a different perspective. The comprehensive approach was distinguished by the authors as the most relevant and was used as a basis for the authors' interpretation of the essence of the concept of "strategic innovative development". The main features of strategic innovative development of energy sector enterprises are identified, on the basis of which four types of implemented strategies are defined — an operational efficiency strategy, a sustainable development strategy and a digital transformation strategy. The main trends in pipeline transportation of hydrocarbons in the world are considered, including an analysis of the dynamics of the length of pipelines for transporting hydrocarbons on a global scale, an assessment of the trends in the development of oil pipeline infrastructure by regions is carried out based on an analysis of the dynamics of the length of oil pipelines under design and construction, as well as the dynamics of investment in the implementation of these projects. The features of strategic innovative development of hydrocarbon pipeline transportation enterprises are determined based on the study of foreign companies' experience; companies from China, the USA and Canada are considered as the most developed ones in the world in the sphere of hydrocarbon pipeline transportation. It is revealed that within the framework of the implementation of the operational efficiency strategy, hydrocarbon pipeline transportation operators implement projects for the development and implementation of technological and process innovations, within the framework of the implementation of the sustainable development strategy — projects for innovative technologies to reduce the negative effects of climate change, within the framework of the digital transformation strategy — projects for the implementation of innovative digital technologies. Based on the results of the study, it is concluded that the introduction of strategic innovative development in the activities of hydrocarbon pipeline transportation operators leads to an increase in operational efficiency, the achievement of sustainable development goals and an increase in energy security.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".