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Record W2089237873 · doi:10.1108/09696471111095957

Elements of organizational sustainability

2011· article· en· W2089237873 on OpenAlexaff
Peter A.C. Smith

Bibliographic record

VenueThe Learning Organization · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilitySustainability organizationsCorporate sustainabilitySocial sustainabilityViewpointsPromotion (chess)BusinessTriple bottom linePublic relationsSustainability scienceOrganizational learningKnowledge managementCorporate social responsibilityPoliticsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Purpose While the adoption of corporate social responsibility reporting has been growing, less interest has been evoked in how organizations are in fact responding to organizational sustainability, or what their relevant optimal strategies ought to be. Triple Bottom Line Sustainability (TBLS) as a desirable organizational goal is now generating some interest, and it is defined here, together with an exploration of the systemic issues which influence organizational attitudes regarding its achievement. Attention is drawn to lessons to be learned from how a learning organization, on either the local or global scale, might respond to the challenges of achieving sustainability. By exploring research and practitioner viewpoints bearing on sustainability‐related promotion of organizational learning, and means to change industrial‐age mindsets, this special issue aims to help organizations remove cultural and structural barriers to progressing sustainability. Design/methodology/approach General sustainability‐related concerns and challenges are reviewed, and individual authors voice their understanding of various elements of sustainability based on their research, their case studies, and the extant literature. Findings Findings include enhanced understanding of how economic vested interests and political dynamics can block effective decision making in the sustainability field, even though the many sustainability experiences from around the world have provided practical means for companies to enhance their economic growth without affecting environments and communities. The impact of two different styles of leadership on the creation of a positive and a negative sustainability‐enabling environment is explained, and it is suggested that having a better understanding of an organization's ability to adapt and self‐regulate on crucial issues for sustainability may help to develop a path through the ongoing socio‐ecological crisis. In addition, the importance of an organization having an extended view of its endeavors in corporate and business ethics is revealed. An action research study is also presented to show how organizations currently view and implement sustainability, and to identify which critical systemic components are yet to be seriously addressed. Originality/value The opinions and research presented provide new and unique understanding of the elements contributing to organizational sustainability. Further value is added via the assessment of progress toward the sustainability ideal, the identification of barriers, and by studying 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.022
Scholarly communication0.0100.005
Open science0.0010.010
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.022
GPT teacher head0.209
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), 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

Citations29
Published2011
Admission routes1
Has abstractyes

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