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Record W4401107260 · doi:10.1080/00472778.2024.2376048

The mediating roles of financialization and vertical integration in the innovation culture and performance relationship: An examination of SME investment firms

2024· article· en· W4401107260 on OpenAlexaff
Grant Alexander Wilson, Jason Jogia, Eric W. Liguori

Bibliographic record

VenueJournal of Small Business Management · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFinancializationBusinessVertical integrationInvestment (military)Industrial organizationOrganizational cultureMarketingEconomicsManagementFinance

Abstract

fetched live from OpenAlex

This study extends innovation culture and performance research by examining vertical integration and a newly conceptualized financialization measure as mediators in the context of small- to medium-sized (SME) investment firms participating in real estate. The work responds to several calls for research that includes more industry-specific strategies that mediate the innovation culture and performance relationship, a financialization measure and examination of its outcomes, and expanding on the limited vertical integration research in real estate. The results show that innovation culture is partially mediated by both vertical integration and financialization, such that innovation culture is directly related to performance but also indirectly via the two strategies. The findings suggest that SME investment firms participating in real estate should create an innovation culture to better execute relevant strategies such as vertical integration and financialization, promoting sustained performance. The paper concludes by offering recommendations for future research and managerial implications.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.226
Teacher spread0.194 · 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 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

Citations7
Published2024
Admission routes1
Has abstractyes

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