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Record W3163168756 · doi:10.5267/j.msl.2021.3.014

Can innovation mediate the effect of adaptability, entrepreneurial orientation on business performance?

2021· article· en· W3163168756 on OpenAlexvenueno aff
Enni Savitri, Emrinaldi Nur Dp, Almasdi Syahza

Bibliographic record

VenueManagement Science Letters · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
FundersUniversitas Riau
KeywordsAdaptabilityEntrepreneurial orientationBusinessMediationExcellenceEntrepreneurshipSmall and medium-sized enterprisesMarketingGovernment (linguistics)Industrial organizationKnowledge managementComputer scienceManagementEconomics

Abstract

fetched live from OpenAlex

Business performance is one of the entrepreneurial behavior benchmarks. Small, and Medium Enterprises (SMEs) are required to have dynamic capabilities and strategies that can seize opportunities and improve the market. The aim of this paper is to analyze the effect of adaptability and entrepreneurial orientation on business performance through innovation as mediation. Based on interviews and questionnaires distributed to 115 SMEs in coastal areas. The research results show that adaptability and entrepreneurial orientation have effects on innovation. Adaptability and entrepreneurial orientation have no effects on business performance. Innovation has effects on business performance. Adaptability and entrepreneurial orientation have effects on business performance through innovation as mediation. This study enriches the current literature by providing a contribution and insights to understanding how Resources Based View (RBV) theory affects business performance and innovation on SMEs in coastal areas in Indonesia. The implications of this study on entrepreneurship orientation in SMEs will help to increase resources for innovation. This emphasizes how the RBV approach used in this research helps improve business efficiency by leveraging existing capital in microbusinesses into a source of excellence. The government is working on policies to enhance the efficiency of SMEs in Indonesia.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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

Citations24
Published2021
Admission routes1
Has abstractyes

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