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Record W3146741239

The Oxford Handbook of Business and the Natural Environment

2013· article· en· W3146741239 on OpenAlexaffabout
Pratima Bansal, Andrew J. Hoffman

Bibliographic record

VenueOUP Catalogue · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsWestern University
Fundersnot available
KeywordsManagementPoliticsSociologyEnvironmental ethicsPolitical scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

Environmental issues now loom large on the social, political, and business agenda. Over the past four decades, "corporate environmentalism" has emerged and been constantly redefined, from regulatory compliance to more recent management conceptions such as "pollution prevention", "total quality environmental management", "industrial ecology", "life cycle analysis", "environmental strategy", "environmental justice, " and, most recently, "sustainable development." As a result, understanding the intersection of business activity and environmental protection has become increasingly complex, and there has emerged a focus in academic research on business decision-making, firm behavior, and the protection of the natural environment. This Handbook reviews the state of the field as it grows into a mature area of study within management science, its achievements, and its future avenues of research. It brings together original contributions in the field along several lines of enquiry. The first six focus on disciplines as delineated in contemporary business schools: business strategy; policy and non-market strategies; organizational theory and behavior; operations and technology; marketing; and accounting and finance. The seventh section reviews emergent and associated perspectives, whilst a concluding section, written by long-standing leaders in the field, discusses the future outlook for research. Contributors to this volume - Michael V. Russo, University of Oregon Amy Minto, University of Oregon Petra Christmann, Rutgers University Glen Taylor, California State University Mike Lenox, University of Virginia Jeffrey G. York, University of Colorado George Kassinis, University of Cyprus Andrew King, Tuck School of Business Andrea M. Prado, Stern School of Business Jorge Rivera, George Washington University David P. Baron, Stanford Graduate School of Business Tom P. Lyon, University of Michigan Cary Coglianese, University of Pennsylvania Ryan Anderson Lisa L. Shu, Harvard University Max H. Bazerman, Harvard University Leigh Plunkett Tost, Duke University Kimberly A. Wade-Benzoni, Duke University Jennifer Howard-Grenville, University of Oregon Stephanie Bertels, Simon Frazer University Michael Lounsbury, University of Alberta Samantha Fairclough, University of Alberta Min-Dong Paul Lee, University of South Florida Magali A. Delmas, UCLA Michael W. Toffel, Harvard Business School Klaus Weber, Northwestern University Sara B. Soderstrom, Northwestern University Robert D. Klassen, Ivey Business School Stephan Vachon, HEC Montreal James D. Abbey, Pennsylvania State University V. Daniel R. Guide, Jr., Pennsylvania State University Reid Lifset, Yale University Frank Boons, Erasmus University Nigel P. Melville, University of Michigan Debra Scammon, University of Utah Jenny Mish, Notre Dame Andrew Gershoff, University of Texas, Austin Julie R. Irwin, University of Texas, Austin Timothy M. Devinney, University of Technology, Sydney Irene Herremans, Calgary Robert Gray, University of St Andrews Nola Buhr, Saskatchewan Charles Cho, Concordia University Dennis Patten, Illinois State University Robin Roberts, University of Central Florida Rob Bauer, Maastricht University Jeroen Derwall, Tilburg University Jean-Louis Bertrand, ESSCA Ecole de Management Bernard Sinclair-Desgagne, HEC Montreal Bryan Routledge, Carnegie Mellon University Krista Bondy, Cranfield University Dirk Matten, York University James E. Post, Boston University Linda C. Forbes, Western Connecticut State University John M. Jermier, University of South Florida Subhabrata Bobby Banerjee, University of Western Sydney David L. Levy, University of Massachusetts Benyamin B. Lichtenstein, University of Massachusetts John R. Ehrenfeld, MIT Nigel Roome, Tilburg University Paul Shrivastava, Concordia University John Elkington, SustainAbility and Volans Charmian Love, Volans Stuart L. Hart, Cornell University Thomas N. Gladwin, University of Michigan

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0020.002
Scholarly communication0.0070.006
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0540.026

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 head0.005
GPT teacher head0.166
Teacher spread0.161 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2013
Admission routes2
Has abstractyes

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