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Record W4411976984 · doi:10.1093/jcr/ucaf041

Why Horizontal Organizations Don’t Fall Flat: Organizational Structure Shapes Perceptions of Egalitarianism and Company Warmth

2025· article· en· W4411976984 on OpenAlexaff
Guanzhong Du, Darren W. Dahl, Katherine White

Bibliographic record

VenueJournal of Consumer Research · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsResponse Biomedical (Canada)BC Innovation CouncilUniversity of British Columbia
Fundersnot available
KeywordsEgalitarianismPerceptionOrganizational structureHorizontal and verticalSociologyPsychologySocial psychologyManagementEconomicsMathematicsGeometryPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract In recent years, a growing number of companies have evolved toward relatively “flat” management structures with minimal hierarchical layers of management. Some even leverage this flatness as a key marketing message and defining element of corporate identity. Although organizational structure has been studied extensively throughout various disciplines, its influence on consumer response has received little attention. This research reveals that a company’s organizational structure can shape consumer perceptions of and subsequent responses to the company. All else being equal, perceived organizational flatness (vs. tallness) tends to induce more positive consumer reactions, such as increased purchase amounts, advertising engagement, purchase intentions, crowdfunding contributions, and brand choice. This phenomenon occurs because consumers infer that flatter companies foster relational egalitarianism, which in turn enhances perceived company warmth. However, the positive effect of perceived flatness is not universal. It is eliminated or reversed among people with a lower preference for egalitarianism and those with conservative political ideologies. This work enriches our understanding of how a company’s organizational attributes, which are usually regarded as beyond the consumer’s purview, may shape consumer perceptions of the company, offering insights for businesses as they embrace new ways of communicating and promoting themselves to consumers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.292
Teacher spread0.273 · 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.

Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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