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Record W3208619819 · doi:10.5281/zenodo.3256693

Call for Papers: SPECIAL ISSUE Business Models at the Crossroad of Responsible Innovation, Sustainability and Resilience

2019· paratext· en· W3208619819 on OpenAlexaff
Elin M. Oftedal, Giovanna Bertella, Małgorzata Grzegorczyk, Peter Hill, S. Lanka

Bibliographic record

VenueFigshare · 2019
Typeparatext
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsTrent University
Fundersnot available
KeywordsSustainabilityResilience (materials science)BusinessBusiness modelMarketing

Abstract

fetched live from OpenAlex

<strong>CALL SPECIAL ISSUE</strong> The relentlessly fluctuating global economy generates impelling needs in how values are perceived, created and managed. Recently, there has been focus on how businesses could be part of the solution of our rising common challenges, such as climate crisis, general pollution, poverty, energy security and health. Business models are the core of businesses and support companies' effectiveness, contributing to their stable, sustainable functioning in the difficult, ever-changing market. This implies the design and implementation of innovative business models that take into account the variety of the stakeholders and promote contributions in terms of responsible research and innovation (RRI), sustainability and resilience. This Special Issue aims to discuss the key mechanisms concerning the design and operationalization of business models as a tool to meet our global challenges. We welcome contributions that links concepts such as sustainability, resilience and RRI to business models and strategy. <strong>Submission Deadline: </strong>January 30 2020<strong>, February 20 2020</strong> <strong>Review Process Ends: April 30 2020</strong> <strong>Special Issue published: July 2020</strong>

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0780.004

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 head0.033
GPT teacher head0.281
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2019
Admission routes1
Has abstractyes

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