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Record W1991079979 · doi:10.1108/02651331111122632

International market selection and segmentation: perspectives and challenges

2011· article· en· W1991079979 on OpenAlex

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

VenueInternational Marketing Review · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsCarleton University
Fundersnot available
KeywordsTheme (computing)Selection (genetic algorithm)Market segmentationField (mathematics)Subject (documents)International marketSegmentationMarketingBusinessComputer scienceLibrary scienceArtificial intelligenceInternational trade

Abstract

fetched live from OpenAlex

Abstract Purpose – This paper has two overall goals. The first is to serve as a broad overview of the literature on the subject theme, with three main objectives in mind: to highlight the complexities of international market selection or segmentation as a field of study and as a strategic decision by international firms; to explore the various ways and perspectives from which this area has been studied; and to suggest areas for future research by drawing on the preceding discussion. The second goal of the paper is to act as an introduction to the IMR special issue on the title theme, by outlining the special issue's objectives and the contributions to it. Design/methodology/approach – Drawing on the relevant literatures, the paper begins by outlining the factors that make the field complex in both theoretical and applied terms, moves to consider the research streams that comprise its main components, and concludes by drawing conclusions and implications for future research. Findings – A large part of the complexity characterizing this field arises from the fact that it is closely intertwined with the broader area of internationalization and a number of other decisions related to it, such as the "go/no‐go" decision and the firm's choice of mode of entry. From the research perspective, theory development has been impeded by a high degree of fragmentation, which has resulted in various different streams studying the same general issues from widely different perspectives. Research limitations/implications – The paper identifies a large number of directions for potential future research, not the least of which is the need for integrative research that addresses the fragmentation identified in the study. Practical implications – Although this is primarily a theoretical paper directed at researchers, practitioners can gain useful insights from it by examining the various factors that have a bearing on their internationalization decisions. Originality/value – The objectives of the main part of the paper will have been met if it succeeds in stimulating interest in further research and discussion on the core issues. The second part summarizes the contributions to the special issue and draws attention to the main message that each aims to convey.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.039
GPT teacher head0.255
Teacher spread0.216 · 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