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Record W1515175085 · doi:10.1002/bse.1805

Recipes for Successful Sustainability: Empirical Organizational Configurations for Strong Corporate Environmental Performance

2013· article· en· W1515175085 on OpenAlexaff
Kent Walker, Na Ni, Bruno Dyck

Bibliographic record

VenueBusiness Strategy and the Environment · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsUniversity of ManitobaUniversity of Windsor
Fundersnot available
KeywordsEquifinalitySustainabilityVariety (cybernetics)Corporate sustainabilityBusinessOrganizational structureProcess managementKnowledge managementMarketingComputer scienceEconomicsManagementEcology

Abstract

fetched live from OpenAlex

Abstract We examine 45 existing case studies of firms with strong corporate environmental performance (CEP) to empirically identify four organizational configurations for successful sustainability. These four configurations represent different combinations of variables describing a firm's external environment, organizational structure, and its strategy‐related activities. More specifically, these configurations vary in having a benign or challenging external environment, a mechanistic or organic structure, a low‐cost or differentiation strategy, hands‐on or hands‐off participation by the top management team, high or low consideration given to stakeholders, and a short‐ or long‐term time orientation. Taken together the four organizational configurations introduce an understanding of equifinality for achieving CEP. In other words, given an adequate variety of ingredients, there are multiple recipes for successful sustainability. Implications for scholars, practitioners and policy‐makers and other stakeholders are discussed. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.019
GPT teacher head0.215
Teacher spread0.197 · 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 designObservational
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

Citations74
Published2013
Admission routes1
Has abstractyes

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