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Record W7099352336

Thomas & Betts Limited: An Application of the "Theory " of Direct Foreign Investment

2013· article· en· W7099352336 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant chemical constituents analysis
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentBusiness historyAgency (philosophy)International businessFirst world warPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

In today's world where seemingly every firm is involved in international trade, the need to better understand that trade has created a growth industry. The experiences of a large number of firms have been condensed to some "common denominators, " such as:... to the typical company, the fundamental or strategic reason for entering foreign markets becomes apparent only some time after its first tentative ventures in that direction [14, p. 1]. A textbook on international marketing may take several chapters to discuss the initial entry decision [4, 5, 7, 12, 14, and 21], a decision that involves a great many details. 2 The 1980s and 90s are not the first time that small firms have elected to enter international markets. This paper makes use of a historical case study to address some of the decisions a firm must make in selling its products and producing its goods in a foreign country. This paper will contrast the experience of one small firm in the 1930s with the stereotypical textbook example of the 1990s. The firm in question is the Thomas & Betts Company (T&B) which began as a sales agency for electrical conduit in New York City, but by the 1920s had grown to where it manufactured conduit fittings in its Elizabeth, NJ, plant [3]. T&B focused its own sales effort on the East Coast market; sales agencies represented the firm elsewhere. The foreign country in question is Canada. The period from the late 1920s through the start of World War II was a period in the development of

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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.

Study designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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