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Record W2103119772 · doi:10.1108/02756660910972622

Welcome to World 2.0: the new digital ecosystem

2009· article· en· W2103119772 on OpenAlexaff
Fahri Karakaş

Bibliographic record

VenueJournal of Business Strategy · 2009
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsMcGill University
Fundersnot available
KeywordsCreativityOriginalityOpen innovationKnowledge managementValue (mathematics)Perspective (graphical)BusinessThe InternetBusiness modelConvergence (economics)Computer scienceMarketingSociologyPolitical scienceWorld Wide WebEconomics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to introduce and describe World 2.0; the interactive, hyper‐connected, immersive, collaborative online ecosystem. Design/methodology/approach The paper reviews paradigm shifts in technology and the internet that transform the world of business and innovation. Findings The author proposes five shifts that characterize and describe World 2.0: creativity, connectivity, collaboration, convergence, and community. These shifts define the new global landscape of business, technology, and innovation. Practical implications The article provides managers and professionals strategies for innovation in the World 2.0 ecosystem. Originality/value The concept of World 2.0 provides managers and professionals a fresh perspective and an integrative vision of the twenty‐first century business and innovation landscape.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0150.015
Open science0.0010.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.021
GPT teacher head0.256
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations116
Published2009
Admission routes1
Has abstractyes

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