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MEMBANGUN KINERJA PEMASARAN MELALUI ORIENTASI PASAR: PERANAN PEMBELAJARAN ORGANISASIONAL DAN INOVASI (Studi Empiris pada UKM Makanan dan Minuman di Eks-Karesidenan Banyumas)

2009· dissertation· en· W18545190 on OpenAlexaboutno aff
Suliyanto Suliyanto

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsMarket orientationBusinessStructural equation modelingMarketingCustomer orientationAntecedent (behavioral psychology)Business administrationPsychologyComputer science

Abstract

fetched live from OpenAlex

The objectives of the research was to explain the contradictory results of some research on the relationship between market orientation and marketing performance; It was also aimed at investigating and to analyzing the development process of market orientation. To test the empirical models, Structural Equation Modelling (SEM) was used. Among software used to assist the analysis in this study were AMOS 16.0, SPSS 16.0 and Microsoft Excel 2007. Sample size of this research was 200 owners and/or managers of Small and Medium Enterprises (SMEs) running food and beverage sector in Karesidenan Banyumas area. The findings of this research had successfully explained: (1) the research gap on the causal relationship between market orientation and marketing performance, (2) the research gap on the causal relationship between market orientation and innovation, (3) ) the research gap on the causal relationship between innovation and marketing performance (4) the indistinct roles of learning organizational in converting market orientation to marketing performance. (5) this study had enriched similar literatures on the field that examined the antecedent of market orientation, and (6) contributed to the limited numbers of literatures on market orientation and innovation in developing countries particularly in Small and Medium Enterprises (SMEs). The managerial findings of the research was the marketing performance development model for the Small and Medium Enterprises (SMEs) that is called the pyramid of marketing performance development (PMPD). The limitations of this research and the implications for future research were also presented in this study.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.297
Teacher spread0.277 · 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 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
Published2009
Admission routes1
Has abstractyes

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Same topicSMEs Development and Digital MarketingFrench-language works237,207