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Record W3011809036 · doi:10.1287/orsc.2019.1329

Relational Contracts and Managerial Delegation: Evidence from Foreign Entrepreneurs in Russia

2020· article· en· W3011809036 on OpenAlex
Elena Kulchina, Joanne E. Oxley

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOrganization Science · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDelegationContext (archaeology)BusinessReputationShadow (psychology)Relational contractCompetition (biology)Sample (material)Product marketProduct (mathematics)Industrial organizationMarketingEconomicsMarket economyMicroeconomicsManagementLaw

Abstract

fetched live from OpenAlex

We examine the managerial delegation decisions of foreign entrepreneurs and assess how these decisions are shaped by characteristics of the local product and labor market environment. We argue that actual or perceived home bias in court proceedings leads foreign entrepreneurs to place little reliance on formal contracts in their dealings with local agent-managers. Adopting the lens of relational contract theory, we develop hypotheses linking managerial delegation decisions to market conditions associated with stable self-enforcing agreements and test the hypotheses in the context of post-Soviet Russia. Consistent with our arguments, we find that foreign entrepreneurs are more likely to hire an agent-manager in local markets where industry growth creates a substantial “shadow of the future,” where managers’ outside employment options are relatively limited, and where competition and the variability of returns are not so high as to induce defection from an informal agreement. Similar observations on a sample of Russian-owned entrepreneurial firms suggest that these delegation decisions are relatively insensitive to local market conditions but that they are influenced by the density of local reputation networks. Our study thus contributes to understanding of the distinctive features of foreign entrepreneurs’ managerial delegation decisions and reinforces the view that contracting impediments constitute one important aspect of the “liability of foreignness” for entrepreneurial firms.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.307

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.034
GPT teacher head0.208
Teacher spread0.174 · 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