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Record W597242224 · doi:10.4324/9780203786543

Management Crisis and Business Revolution

2017· book· en· W597242224 on OpenAlexaboutno aff
Harte John

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicManagement, Economics, and Public Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness managementBusinessPolitical scienceBusiness administration

Abstract

fetched live from OpenAlex

Management Crisis and Business Revolution describes the enormous gap between business theories on the one hand, and the realities of the workplace and uncertainties of the marketplace on the other. In place of reasoned management and disciplined organization John Harte depicts daily disorder, vagueness, and confusion; instead of the logical processes of classroom case histories with rational solutions. He provides tales of an abundance of irrational judgments, personal foibles, and business follies. Once a top operational manager with multinational organizations, Harte applies his hands-on knowledge of the business world to a realistic examination of workplace conditions. He describes methodically how to handle human limitations in the average business enterprise, as well as how to develop management strengths.The author observed superior and inferior management firsthand, and therefore witnessed the painful demise of many companies‘some of which, in his opinion, could have been saved. With thirty years' experience to draw on, he analyzes why so many businesses and products fail, while others succeed. He examines the amazing progress of Japan and other Pacific Asian countries; explains the decline of German, Canadian, British, and French management practices; and provides strategies for the marketplace.The business sectors described in this all-encompassing book include: high-technology, fast-moving packaged consumer goods like detergents; manufacturing and retailing consumer durables like furniture and appliances; soft goods; fashion products; service sector industries; manufacturing, wholesaling, and retail trade; and a whole range of new service industries. Harte stresses that while management and trade are timeless, dedication in the West has declined. The challenge is how to manage change by innovating, and replacing senile customs, systems, and institutions with more progressive ones suited to the new business environment. This unusually tough

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0080.019
Scholarly communication0.0110.013
Open science0.0010.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0120.002

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 head0.020
GPT teacher head0.223
Teacher spread0.203 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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