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Record W2803950235 · doi:10.1142/s1363919619500166

STRATEGIC ORIENTATIONS, THE MEDIATING EFFECT OF ABSORPTIVE CAPACITY AND INNOVATION: A STUDY AMONG MALAYSIAN MANUFACTURING SMEs

2018· article· en· W2803950235 on OpenAlex
Abdullah Al Mamun, Syed Ali Fazal, Muhammad Mohiuddin, Zhan Su

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Innovation Management · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsUniversité LavalThompson Rivers University
FundersMinistry of Higher Education, Malaysia
KeywordsAbsorptive capacityBusinessPerspective (graphical)Industrial organizationManufacturingBusiness administrationMarketingComputer science

Abstract

fetched live from OpenAlex

Strategic orientations (SOs) and absorptive capacity can significantly enhance innovation capacity in manufacturing Small and Medium Enterprises (SMEs). This study explores the relationship of SOs i.e., Market Orientations (MOs), Entrepreneurial Orientations (EOs) and Customer Orientations (COs) to absorptive capacity on the one hand, and to innovation on the other hand. The study also delves into the issue of how absorptive capacity mediates the effects of SOs on innovation in manufacturing SMEs from emerging countries’ perspective. This study uses a cross-sectional design and quantitative data collected through a structured interview of top managers from 360 manufacturing SMEs. The findings show that MO, EO and CO have positive and significant effects on innovation and that absorptive capacity partially mediates SOs’ effects on innovation.

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.

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 score0.113
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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