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Record W3167538378 · doi:10.22158/jepf.v7n3p153

Friedman Doctrine: Maximizing Profits is Neither Good for Society Nor Even for the Shareholders

2021· article· en· W3167538378 on OpenAlexfundno aff
Y. Datta

Bibliographic record

VenueJournal of Economics and Public Finance · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Institutions
Canadian institutionsnot available
FundersMcGill UniversityHarvard Business SchoolUniversity of Michigan
KeywordsDoctrineShareholderProfit maximizationEconomicsMindsetCapitalismShareholder valueProfit (economics)Neoclassical economicsLaw and economicsLawPolitical scienceFinanceCorporate governancePhilosophy

Abstract

fetched live from OpenAlex

This paper is an attempt at a critique of Milton Friedman’s article titled: “A Friedman doctrine—The Social Responsibility of Business is to Increase Its Profits” published in the New York Times Magazine fifty years ago. The publication of this doctrine sparked a revolution. Ronald Reagan found it a powerful platform from which to launch his radical free-market agenda. The event marked a turning point when America embarked on a journey towards unfettered capitalism.Encouraged by the Friedman doctrine American CEOs chose a path toward profit maximization/maximizing shareholder value: a mindset that favored risk aversion and a short-term focus on cost reduction vs. long-term need for innovation, quality and customer satisfaction. And it is this historic psychological shift that has contributed so much to America’s industrial decline.Economic inequality in America has been going up persistently since 1974, squeezing the middle class. America’s income inequality has now widened so much that it rivals the highest level recorded in 1928 that led to the Great Depression of 1929. Friedman’s essay has three major flaws. First, it is offered as a doctrine not a theorem. Second, it is grounded in the moral philosophy of self-interest—and greed. Third, it does not distinguish between short-term and long-term shareholders.Friedman’s theory of profit maximization is too difficult, too unrealistic--and immoral.Based on an extensive analysis, we have come to the conclusion that profit maximization is neither good for society nor even for the shareholders.

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)0.001
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 score0.892
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.065
GPT teacher head0.231
Teacher spread0.166 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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