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Record W2777395696

A cross-country exploration of the perceived impact of facilitated networks on green innovation capability development in the micro-firm

2017· dissertation· en· W2777395696 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueSETU Waterford Libraries - Open Access Repository · 2017
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessGovernment (linguistics)Green economySustainable developmentGreen innovationIndustrial organizationEco-innovationMarketingSustainabilityPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The motivation for this research originates in the current global debate on the need for a sustainable green economy. As micro-firms (those firms with less than ten employees), represent 90.8% of all businesses in Ireland (CSO, 2011) and 75% in Canada (Industry Canada, 2013), the development of their green innovation capability development is vital in pursuit of green economy goals. This thesis studies explores the perceived impact facilitated network engagement has on green innovation capability development in the micro-firm. This study uses a interpretive multiple case, cross-country approach studying micro-firms in Ireland and Canada over a twelve month period. The proactive implementation of green innovation is influenced by the owner/manager (O/M)’s natural environment orientation (NEO) and the potential for economic gain. The findings show that facilitated networks play a role in the development of innovation capabilties and provide an additional resource that the O/M can draw from. In particular, the network allows the O/M to test new ideas, comprehend legislation and identify potential supports in pursuit of green innovation capability development within the micro-firm. This study has academic, practitioner and policy implications as it assists in understanding the impact of inter-firm collaboration on green innovation capability development. This study offers a framework that can be used as a guideline for micro-firm support organisations including facilitated networks to assist micro-firms in reaching their green innovation goals and objectives. At a national level, government run systematic and collective marketing initiatives, which engage with enterprise and networks could help to promote the financial savings and opportunities of green innovation. In the absence of regulations, the onus is on the individual to take accountability for their own green innovation. This exploratory study provides a basis on which further research can be undertaken in the area of green innovation, facilitated networks and the micro-firm. The framework could potentially be applied in other countries and in further micro-firms to test its applicability for the development of green innovation capabilities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0040.013
Open science0.0040.001
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 head0.039
GPT teacher head0.320
Teacher spread0.280 · 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