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Record W2014702333 · doi:10.1002/tie.20184

BlackBerry in red China: Research in motion navigates institutional barriers in an emerging market. Case comment: RIM in China

2008· article· en· W2014702333 on OpenAlexaff
Prescott C. Ensign, Nicholas P. Robinson, Luc Fournier

Bibliographic record

VenueThunderbird International Business Review · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsBank of CanadaNational Bank of CanadaMcGill UniversityWilfrid Laurier UniversityUniversity of Ottawa
Fundersnot available
KeywordsThrivingChinaOrder (exchange)Settlement (finance)PoliticsChinese marketBusinessLaw and economicsPolitical scienceEconomicsLawSociologyFinance

Abstract

fetched live from OpenAlex

Abstract Research in Motion's (RIM's) entry into the Chinese market during a time when many distractions —principally a patent dispute with NTP—occupied management's attention was not a foregone conclusion. China remained a difficult market to crack. One holdup was an impasse with regard to RIM's use of encryption technology and the Chinese authorities' desire to monitor e‐mail traffic and content. Here the technical and political concerns were entangled. To further complicate things, the entirety of RIM had until recently been preoccupied with the legal settlement with NTP in the United States. Issues in this study highlight real‐world dilemmas in a thriving firm. The founders are still in charge, and new markets present themselves regularly. A very real challenge is divided attentions. The standstill over market entry calls for integrative thinking—bringing together disparate and contradictory elements for resolution. RIM's way out will invariably involve embracing complex relationships in order to find a resolution to the various conflicting institutional forces. © 2008 Wiley Periodicals, Inc.

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)0.004
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 score0.248
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.084
GPT teacher head0.403
Teacher spread0.319 · 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 designObservational
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

Citations6
Published2008
Admission routes1
Has abstractyes

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