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Mobilizing Culture for E‐Business in Developing Countries: An Actor Network Theory Account

2012· article· en· W2772779785 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Electronic Journal of Information Systems in Developing Countries · 2012
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsnot available
FundersSimon Fraser UniversityUniversity of Chicago
KeywordsEnablingDeveloping countryActor–network theoryContext (archaeology)Perspective (graphical)BusinessElectronic businessBusiness modelSociologyOrganizational cultureEntrepreneurshipKnowledge managementPublic relationsMarketingPolitical scienceEconomicsSocial scienceEconomic growthComputer sciencePsychologyGeography

Abstract

fetched live from OpenAlex

Abstract The purpose of this study is to understand how developing country cultures can be mobilized for e‐business. Within the developing country e‐business literature, culture has been highlighted as a barrier. Less is however known about culture as an enabler. Despite calls for cultural fit, empirical evidence on how to achieve the fit remains limited. This study follows actor‐network theory (ANT) as a lens and interpretive case study as a methodology to understand how funeral culture in the developing country context of Ghana was mobilized for an e‐business venture. The findings demonstrate an enabling perspective of developing country culture, complementing the dominant constraining view in the literature. The paper argues that although e‐business emerged from the developed world, it could be malleable to varied contexts. The paper encourages developing country entrepreneurs and researchers to seek ways to align e‐business to local contexts.

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)0.022
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0010.000
Research integrity0.0000.001
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 head0.045
GPT teacher head0.343
Teacher spread0.298 · 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