Collaboration between Corporations, Non-Governmental Organizations, and Indigenous Communities: The Bridge Strategy to Pursue Sustainable Development in the Oil & Gas Industry in Latin America
Bibliographic record
Abstract
Collaboration between Corporations, Non-Governmental Organizations, and Indigenous Communities: The Bridge Strategy to Pursue Sustainable Development in the Oil & Gas Industry in Latin America Percy Garcia; Percy Garcia U. of Calgary Search for other works by this author on: This Site Google Scholar Harrie Vredenburg Harrie Vredenburg U. of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, Villahermosa, Mexico, February 2002. Paper Number: SPE-74412-MS https://doi.org/10.2118/74412-MS Published: February 10 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Garcia, Percy, and Harrie Vredenburg. "Collaboration between Corporations, Non-Governmental Organizations, and Indigenous Communities: The Bridge Strategy to Pursue Sustainable Development in the Oil & Gas Industry in Latin America." Paper presented at the SPE International Petroleum Conference and Exhibition in Mexico, Villahermosa, Mexico, February 2002. doi: https://doi.org/10.2118/74412-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Oil Conference and Exhibition in Mexico Search Advanced Search AbstractCorporations investing in Latin America are facing problems including opposition from indigenous communities and environmental non-governmental organizations (ENGOs)1, and the activities of guerrillas and drug cartels2 that are making it difficult for them to operate. Collaborative alliances are seen as a strategy that organizations can use to deal with the turbulence and complexity of their environments3. Strategic bridging has proved to be effective to approach collaboration in sensitive areas of operation. The main conclusions are:the complex environment in which corporations operates in Latin America requires collaboration among all stakeholders to achieve common goals of sustainable development;indigenous communities have the potential to collaborate with MNCs; however, they need certain level of education and training; andNGOs possess the necessary expertise to act as a bridge, their participation is essential to explore opportunities of collaboration between indigenous communities and MNCs.IntroductionA large number of oil and gas corporations operate extensively in Latin America.4 These corporations have been operating in the region causing major environmental degradation and social disturbance problems. As a result, they have been criticized for acting socially and environmentally irresponsibly, for ignoring national borders,5 and for dominating the global agenda at the expense of other societal stakeholders.6 However, the way corporations conduct their businesses internationally have been changing. Companies are approaching different management strategies to operate in sensitive environmental regions such as the incorporation of sustainable development principles within their policies, and the establishment of different ways of collaboration with host countries and local institutions.Also, corporations investing in Latin America are facing problems including opposition from indigenous communities and environmental non-governmental organizations (ENGOs)1, and the activities of guerrillas and drug cartels2 that are making it difficult for them to operate. Collaborative alliances are seen as a strategy that organizations can use to deal with the turbulence and complexity of their environments3. Strategic bridging has proved to be effective to approach collaboration in sensitive areas of operation. Bridging organizations are those able to integrate organizations that may be widely disparate in wealth, power, culture, language, values, interests, and structural characteristics.7 NGOs can play the role of bridge between communities and corporations. Keywords: sustainable development, indigenous community, university, collaboration, complex environment, mnc, alliance, spe 74412, social responsibility and development, collaborative alliance Subjects: Sustainability/Social Responsibility, Professionalism, Training, and Education, Social responsibility and development This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".