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Organizing for Circularity: Lifecycle Assessment, Systems Thinking, and Future-Orientation

2025· article· en· W4416007503 on OpenAlexaff
Brooke Lahneman, Hyeonjin Cha, Suzanne G. Tilleman, Miriam Feuls, Natalie Slawinski, Amanda Nicole Williams, Fabian Takacs, Francesco Testa

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWork (physics)ConversationFace (sociological concept)Joint (building)Business modelPanel discussion

Abstract

fetched live from OpenAlex

This panel symposium builds on existing work on circular economies by exploring approaches that support transitions toward circularity within and among organizations. To motivate research in this area, the panel symposium will unfold some of the complexities involved in organizing for circularity, focusing on three approaches: lifecycle assessment, systems thinking, and future-orientation. While each of these three approaches provides distinct ways that organizations can engage to achieve circularity, their clear interrelationships portray the complexities organizations face as they work to manage and organize their operations to reduce waste and ‘close the loop,’ and ultimately support resiliency in ecological systems. With a joint conversation and discussion among the panelists and audience, the symposium will challenge management scholars to consider how we can further develop management and organization research that advances circularity in organizations’ business models, practices, and processes, both in theory and practice.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.010
GPT teacher head0.267
Teacher spread0.256 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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