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Knowledge Exchange Activities and Performances in Software Industry Clusters: Focus on Firm Size Effect
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 조성의 | - |
| dc.date.accessioned | 2023-03-24T09:48:43Z | - |
| dc.date.available | 2023-03-24T09:48:43Z | - |
| dc.date.issued | 2022-12 | - |
| dc.identifier.issn | 2288-7709 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/30730 | - |
| dc.description.abstract | Purpose: This research investigates the differences in knowledge exchange activities and performances between startups and large companies in software industry clusters. Research design, data, and methodology: Six independent factors of human resource information, R&D and technology, marketing knowledge, government support information, strategic knowledge, and cooperation information were extracted to test the firm size effect in the relationships with two performance factors such as satisfaction with industry cluster location and satisfaction with financial performances. Data were collected through a survey of entrepreneurs, managers, and employees and tested by statistical analysis methodologies. Results: Three independent factors of human resource information, R&D and technology, and cooperation information were particularly significant in the relationship with both dependent factors. Strategic knowledge significantly affected financial performance. Knowledge exchange activities were more important in startups than in large companies for all eight factors. Conclusion: Policies for software industry clusters need a different approach for startups and large companies. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 국제융합경영학회 | - |
| dc.title | Knowledge Exchange Activities and Performances in Software Industry Clusters: Focus on Firm Size Effect | - |
| dc.title.alternative | Knowledge Exchange Activities and Performances in Software Industry Clusters: Focus on Firm Size Effect | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.20482/jemm.2022.10.6.9 | - |
| dc.identifier.bibliographicCitation | The Journals of Economics, Marketing & Management, v.10, no.6, pp 9 - 16 | - |
| dc.citation.title | The Journals of Economics, Marketing & Management | - |
| dc.citation.volume | 10 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 9 | - |
| dc.citation.endPage | 16 | - |
| dc.identifier.kciid | ART002918807 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Software Industry | - |
| dc.subject.keywordAuthor | Innovation Cluster | - |
| dc.subject.keywordAuthor | Knowledge Exchange Activities | - |
| dc.subject.keywordAuthor | Firm Size | - |
| dc.subject.keywordAuthor | Performances | - |
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