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Record W2067437909 · doi:10.1145/1134707.1134739

B2C e-commerce development in Africa

2006· article· en· W2067437909 on OpenAlexaff
Faith‐Michael E. Uzoka, Geoffrey G. Seleka

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsE-commerceInformation and Communications TechnologyThe InternetBusinessPoliticsDeveloping countryKey (lock)MarketingKnowledge managementEconomic growthComputer sciencePolitical scienceEconomicsWorld Wide WebComputer security

Abstract

fetched live from OpenAlex

The global wave of ICT development has become a strong driving force in almost every aspect of human endeavor. Electronic commerce (e-commerce) is fast gaining a prominent place in the global marketing matrix. The volume of transactions that are carried out over the internet globally is extremely huge. It is estimated that in the next decade, e-commerce activities would be a major source of foreign exchange, and a key indicator of national development. Developing countries, especially in Africa, tend to lack the infrastructural, economic, and socio-political framework for the development of electronic-commerce in comparison to developed countries. This study investigates the level of development of e-commerce in Botswana, an African country with a good level of e-readiness. The results of the study show that e-commerce development in Botswana is still at the level of intensity, whereby ICT is utilized in most aspects of human endeavor, while most organizations have a low adoption of e-commerce. A cluster analysis of the surveyed organizations shows that only 44% performed well on the e-commerce indicators.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.458
Threshold uncertainty score0.345

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.208
Teacher spread0.195 · 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 designNot applicable
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

Citations13
Published2006
Admission routes1
Has abstractyes

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