Effect of entrepreneurial and market orientation on consumer engagement and performance of manufacturing SMEs
Bibliographic record
Abstract
Purpose This study aims to examine the effect of entrepreneurial and market orientations on consumer engagement and the performance of manufacturing small- and medium-sized enterprises (SMEs) under the premise of the resource-based view (RBV) theory. Design/methodology/approach This study adopts a cross-sectional design, and quantitative data were collected from 360 manufacturing SMEs in Peninsular Malaysia. SMEs were selected using a stratified multi-stage sampling method from a total of 37,861 manufacturing SMEs. The respondents were selected from Selangor, Johor, Penang, Perak, Kelantan and Terengganu, as these states make up the majority (79 per cent) of the manufacturing SMEs in Malaysia. Findings Entrepreneurial and market orientations have statistically significant positive effects on consumer engagement. Consumer engagement in turn positively affects the performance of manufacturing SMEs in Peninsular Malaysia. Findings also revealed a partial mediation of consumer engagement between entrepreneurial and market orientations on performance. Research limitations/implications A larger sample size may improve the generalizability of the findings. Managers may be able to apply the findings of this paper in developing strategies for their manufacturing SMEs, specifically, by focusing on entrepreneurial and market orientation to raise consumer engagement and to improve the overall performances of their SMEs. Originality/value This study focuses on manufacturing SMEs in Malaysia, an emerging country with conditions unique to other industrialized countries. This study aims to demonstrate that integrated entrepreneurial and market orientations have significant effects on SMEs’ performance. This relationship could be mediated by consumer engagement. Specifically, consumer orientation may influence the effect of entrepreneurial and market orientations on overall firm performance..
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".