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Record W4387891725 · doi:10.5430/bmr.v13n1p9

Sustainability Leadership and Ethical Perspectives

2023· article· en· W4387891725 on OpenAlexvenueno aff
Zuhair Hasan, Rayyan Esmaail, Zulaikah AlBusaidi, Cam Caldwell

Bibliographic record

VenueBusiness and Management Research · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain Resilience and Risk Management
Canadian institutionsnot available
Fundersnot available
KeywordsEthical leadershipSustainabilityAuthentic leadershipLeadership studiesLeadership stylePerspective (graphical)Public relationsLeadershipSociologyManagementServant leadershipEnvironmental ethicsPolitical scienceEconomicsBiology

Abstract

fetched live from OpenAlex

The failures of leaders in the 21st century have reached crisis proportions, as evidenced by the alarming trends of “Quiet Quitting” and “The Great Resignation” (Jamali & Caldwell, 2023). Beck and Harter (2023) reported that 82% of people promoted to positions of leadership were the wrong individuals and 58% of employees in a 2018 survey indicated that they would rather trust a stranger than their boss (Damron, 2018). For organizations to reverse this trend of ineffective leadership, they must develop a sustainable leadership approach that incorporates true ethical principles (Hasan, 2022).The purpose of this paper is to address the need for “Sustainability Leadership” in modern organizations and to emphasize the importance of ethical leadership (Stouten, Van Dijke, & De Cremer, 2012). We begin this paper by defining Sustainability Leadership (SL) and emphasizing its importance as a leadership framework. After defining SL, we then identify how SL meshes with seven different leadership perspectives. We suggest eight propositions that leaders and organizations can test related to each perspective’s contribution to SL. We conclude the paper by identifying four contributions of this paper for leaders and organizations

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)0.003
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 score0.779
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.002
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 head0.102
GPT teacher head0.364
Teacher spread0.261 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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