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Record W2008023005 · doi:10.1108/09696471211199285

The importance of organizational learning for organizational sustainability

2011· article· en· W2008023005 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Learning Organization · 2011
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityOrganizational learningSustainability organizationsKnowledge managementLearning organizationViewpointsEngineering ethicsManagement scienceSociologyBusinessComputer scienceEngineeringEcology

Abstract

fetched live from OpenAlex

Purpose This Special Issue is intended to heighten awareness of the importance of organizational learning in addressing the demands of organizational sustainability, and in particular triple bottom line (TBL) sustainability. A definition of TBL sustainability is provided, together with an exploration of the practical issues relevant to adopting organizational learning in addressing it. By exploring research and practitioner viewpoints bearing on sustainability‐related applications of organizational learning, this Special Issue aims to help organizations remove barriers to achieving sustainability goals and catalyze the progress for an organization on its sustainability journey. Design/methodology/approach General sustainability‐related concerns and challenges associated with organizational learning are reviewed, and individual authors voice their understanding of the application of organizational leaning to particular aspects of sustainability based on their research, their case studies, and the extant literature. Findings Findings include enhanced understanding of the incompatibility of single‐ and double loop learning in TBL sustainability contexts, and the required emphasis on double‐loop learning to progress sustainability aims successfully. The effectiveness of dialogic interaction is described in achieving a transition towards sustainability in people, organizations and society as a whole. How individual worldviews called “our ecological selves” allow creation of the conditions for confronting global environmental challenges is explained. Contributions are made to the understanding of hybrid organizations through the case of a Brazilian networked organization, and a paradox view of management based on the theories of organizational learning and managerial cybernetics is applied to enlighten the understanding of sustainability. The learning and adaptive system of the US commercial aviation industry is explored and the application of such a system in an organization operating according to triple bottom line sustainability principles is described. Originality/value The opinions and research presented provide new and unique understanding of how organizational learning may contribute to organizational sustainability. Further value is added via the assessment of means to progress the sustainability ideal, the identification of barriers, and the many practical examples of means to facilitate progress toward that ideal.

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)0.005
metaresearch head score (Gemma)0.071
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.585
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.071
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.079
GPT teacher head0.348
Teacher spread0.269 · 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