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Record W6990099774

Convergence of the Global Cell Phone Market and Universal Cell Phone Behaviours

2018· article· en· W6990099774 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2018
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneConvergence (economics)Context (archaeology)PaceMobile phoneDeveloping country
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study investigated the convergence of global cell phone markets in six countries and the possibility that specific cell phone behaviours have become universal as a consequence. In addition, the impact of national culture in the context of the same six countries was examined. Design/Methodology/Approach: The study was conducted among high school and undergraduate college students in Finland, the United Arab Emirates, China, Canada and New Zealand. Following the relevant literature review, the paper analysed 1,326 responses of respondents residing in metropolitan areas, so that 408 of the responses came from Finland, 190 from the United Arab Emirates, 314 from China, 280 from Canada and 134 from New Zealand. Findings: The results indicate that there is significant evidence of convergence in global cell phone markets, in terms of ownership during the 2000-2015. In the six countries studied, the fast pace of convergence has not, however, caused the cell phone behaviours to become fully universal, as significant differences exist in cell phone behaviours. The paper concludes with a discussion regarding the academic and managerial implications. Originality: There has been a significant movement towards full convergence, but the market is not yet there. In terms of behaviours, the results indicate lack of full convergence. Also, as regards to the cultural issues, it was discovered that the more masculine the country the less concerned the people are with cost efficiency. In addition, "Safety/security" is positively related to power distance and masculinity indicating that the higher the power distance/masculinity the more concerned the individuals are with safety and security. Also, it appears that the more masculine the country, the more dependent individuals appear to be to their cell phones.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.422

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.030
GPT teacher head0.240
Teacher spread0.211 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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