MétaCan
Menu
Back to cohort

Co-creation, Dynamic Capability, and Sustainability Performance in SMEs: A Micro Foundational Lens

2023· article· en· W4385217967 on OpenAlexaff
Sushil S. Chaurasia, Dhirendra Shukla, M. Mazhar Rathore, Manoj Motiani, Kapil Khandeparkar

Bibliographic record

VenueAcademy of Management Proceedings · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSustainabilityLens (geology)Co-creationBusinessProcess managementDynamic capabilitiesThrough-the-lens meteringComputer scienceOperations managementKnowledge managementEngineering

Abstract

fetched live from OpenAlex

Despite the critical role of value co-creation and dynamic capability in sustainability performance, value co-creation and dynamic capability lack a holistic approach. So as an alternative theoretical framework, the current investigation combined the elements of the hierarchical and micro foundational views of value co-creation and dynamic capability with an eco-centric taxonomy. The investigation uses the micro-foundational lens to empirically investigate how value co-creation can impact sustainability performance through dynamic capability. Data was collected using a survey from 523 SMEs. Encompassing economic and social welfare logic can be conflicting for resource constrained SMEs, but the investigation found even though economic considerations take precedence, the potential for social and environmental sustainability to impact overall competitiveness is not overlooked. Our findings can help practitioners is identifying micro foundation techniques that are more likely to help in improving SME’s sustainability performance in the ex-ante setting.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAcademy of Management ProceedingsSame topicService and Product InnovationFrench-language works237,207