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Port Strategy for Sustainable Development

2021· book· en· W3135804769 on OpenAlexfundno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
FundersVlaamse regeringSocial Sciences and Humanities Research Council of CanadaNorthwestern University
KeywordsSustainabilityPort (circuit theory)BusinessBusiness modelCorporate governanceSustainable developmentSupply chainCircular economySalientProcess managementIndustrial organizationMarketingEngineeringPolitical science

Abstract

fetched live from OpenAlex

Today, most large port hubs include the circular economy transformation challenge, together with smart digitalization and Internet of Things (IoT), in their strategic priorities. However, many ports do not seem to have progressed beyond incremental, small-scale sustainable innovations or the support of rather fragmented sustainability initiatives. The challenges are complex, since ports do not only have to reconsider their own core activities but also their role in the supply chain of shippers, to lift themselves out of the linear lock-in. Opportunities are also created, and port authorities and businesses need to embrace circular learning and turn these projects into sustainable business models. This strategic change or refocus requires new insights into innovative governance and business frameworks, the link between strategy and commercially viable business models, systems innovation, intensified stakeholder collaboration and co-creation, altered traffic segments and hinterland focus, amongst others. These Special Issue articles address current CE transition concerns salient to port strategists and managers, such as first strategic changes towards circular ports, building awareness on the importance of sustainability data and available space, and how port authorities can develop circular business models.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.020
GPT teacher head0.219
Teacher spread0.199 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

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