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Record W3092452879 · doi:10.47670/wuwijar201821suoa

Understanding the dynamics of leadership: A case study on Jeff Bezos and Jack Ma

2018· article· en· W3092452879 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

VenueWestcliff International Journal of Applied Research · 2018
Typearticle
Languageen
FieldPsychology
TopicHuman Behavior and Motivation
Canadian institutionsWycliffe College
Fundersnot available
KeywordsGlobeManagementLeadership stylePublic relationsSociologyPolitical sciencePsychologyEconomics

Abstract

fetched live from OpenAlex

This paper analyzes the leadership approach of two leaders, the founder of Amazon.com, Jeff Bezos, and the founder and executive chairman of Alibaba Group, Jack Ma. It incorporates their decision-making style, problem-solving mechanisms, and their concerns for the overall globe making them "global leaders." This paper critically compares the implications of their approaches to comprehensive employee motivation and company performance. This paper deviates away from "The Great Man Theory" and emphasizes on "Bandura Social Learning Theory" which emphasizes leadership as a process which can be practiced and learned. This paper summarizes their legacy in the business world and the paradigm shift that they brought in the way of doing business.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.515
GPT teacher head0.498
Teacher spread0.017 · 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