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Powerful Stakeholders and Interorganizational Collaboration-The Case of HIV/AIDS Epidemic in India

2014· article· en· W2083487124 on OpenAlexaff
Luis Fernando González Escobar, Sameer Deshpande

Bibliographic record

VenueAcademy of Management Proceedings · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCorporate governanceTransaction costBusinessPublic relationsDatabase transactionTask (project management)Government (linguistics)Organizational structureKnowledge managementMarketingPolitical scienceEconomicsManagement

Abstract

fetched live from OpenAlex

According to the transaction cost and resource-based view theory, the success of an interorganizational collaboration is explained by the alignment of the governance structure selected to coordinate initiatives, the task being transacted and the competencies required to deliver on the task and to govern the interorganizational collaboration. We argue that interorganizational collaboration while popular among for-profit and not-for-profit organizations, the presence of powerful collaborating organizations forces the focal organization to adopt best practices and governance structures that could prove costly in the long run. Powerful collaborating organizations could create a misalignment in task, governance structure and the organization’s competencies. These findings were revealed based on an in-depth case study (more than 50 in- depth interviews with professionals representing more than 30 national and international organizations) of the condom social marketing campaign adopted by the Government of India in its fight against HIV/AIDS. Our analysis indicates that the misalignment could be attributed to the institutional pressures of powerful stakeholders who (a) induced the focal organization to define the transaction according to the HIV/AIDS practices and strategy of the dominant World Health Organization and (b) suggested a governance structure welcoming the participation of local and regional stakeholders even though the Government of India did not have the proper governance competencies to maintain alignment. Consequently, although we observed some degree of effectiveness, we also discovered inefficient interorganizational relationships resulting from opportunistic behaviors among partner organizations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.237
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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