Innovation capability building through intermediary organizations: cases of manufacturing small- and medium-sized enterprises from China's Zhejiang province
Bibliographic record
Abstract
AbstractAlong with a continued expansion of the innovation landscape, collaboration with external partners becomes an increasingly critical strategy for organizations to acquire necessary resources from the outside when building their innovation capability. Based on three representative manufacturing small- and medium-sized enterprises (SMEs) in China's Zhejiang province, this study explores the evolution of the SMEs' unique organizational forms in response to such external collaboration. In particular, these organizational forms begin with a functional-level ‘technology department’ that subsequently evolves into a strategic-level ‘research centre’ that acts as a ‘quasi-intermediary organization’ within an existing organizational boundary and eventually becomes an independent professional ‘technology company’. Although, in general, the collaboration with universities and research institutes facilitates both exploratory and exploitative types of innovation capability building, this study further finds that such collaboration via a ‘technology department’ is the least effective. Furthermore, collaboration via a ‘research centre’ strengthens (weakens) the effect on the exploratory (exploitative) type of innovation capability building. Meanwhile, the collaboration via a wholly owned ‘technology company’ strengthens (weakens) the effects on the exploitative (exploratory) type of innovation capability building. Importantly, the collaboration via a joint-venture ‘technology company’ with universities and research institutes facilitates the ambidextrous exploratory and exploitative type of innovation capability building.Keywords: innovation capabilityintermediary organizationsorganizational formsSMEsChina AcknowledgementsThis study is supported by the Canada International Development Research Centre (IDRC, Project No. 106341-001) and the Zhejiang Provincial Natural Science Foundation of China (Project No. LY12G02011).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".