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Record W2616924634 · doi:10.5539/jms.v7n2p27

The Inter Business Index Developing a Tool for Measurement and Comparability of Holistic Sustainability in Businesses

2017· article· en· W2616924634 on OpenAlexvenueno aff
Johanna Hallin, Michelle Sandberg, Nathalie Ahlstedt Mantel

Bibliographic record

VenueJournal of Management and Sustainability · 2017
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityComparabilityBusinessProcess managementGlobalizationProduct-service systemSustainable businessGeneral partnershipBusiness modelSustainable developmentNew business developmentKnowledge managementSustainability organizationsScope (computer science)MarketingComputer scienceEconomicsPolitical science

Abstract

fetched live from OpenAlex

The scope of sustainable development is undoubtedly growing, and becoming increasingly more important due to the process of globalization, amounting in complex environmental, societal and economic issues. Although the subject of business sustainability has been gaining traction and resulted in increased knowledge in the field, the business sustainability discourse is still at a young stage, where the different streams of approaches, definitions, systems and measures are fragmented and challenged. Today’s global challenges are so large and complex that they require a new kind of problem-solving and way of doing business. Identifying solutions requires a diversity of perspectives, approaches and capabilities, and the business sector plays a critical role. The integrated approach has been examined to some extent, proposing a holistic manner of moving on to true business sustainability, and a sustainable development on a global scale. This article presents the concept of Inter Business and the Inter Business Index, a tool for measurement and comparability of holistic sustainability in businesses. The Inter Business framework consists of four key-components that describe the skills needed for future-preparedness. In our research, we have analysed the 50 biggest corporations in Sweden and identified purpose, empathy, system approach and transformation as components that respond to the hypothesis that interconnection and integration are key for companies to survive and thrive, whilst contributing to society at large.

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)0.025
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.177
GPT teacher head0.418
Teacher spread0.241 · 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.

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

Citations4
Published2017
Admission routes1
Has abstractyes

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