How to apply computer science and technology to enhance original innovation capability of Gansu manufacturing : Case study based on Huawei and Haier
In: 2020 International Conference on Computer Science and Management Technology (ICCSMT), 2020-11-01
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Zugriff:
How to apply computer engineering technology and digital technology to improve Gansu’s original innovation capability is of great significance to the high-quality development of regional economy. This paper takes Haier and Huawei as representative and typical enterprises, and extracts the basic experience and mechanism of computer technology application in China’s leading manufacturing enterprises based on multi-case study method. On this basis, the strategy of computer technology to improve the original innovation capability of manufacturing enterprises in Gansu Province is designed in a targeted and forward-looking way: first, it should give play to the function of artificial intelligence strategic orientation. The concrete measures are to attach importance to strategic choice, construct competitive advantage through information technology strategy, and allocate resources by combining with computer information system. Second, it would gradually implement a Total Innovation Management mechanism by using computer technology, including a total factors synergy mechanism, time & space based innovation mechanism, all innovators mechanism and a comprehensive coordination mechanism. Third, it should foster and introduce innovative culture; Fourth, applying computer models to improve sustainable and innovative public policies, mainly by making good use of financial innovation funds and building an information ecosystem.
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How to apply computer science and technology to enhance original innovation capability of Gansu manufacturing : Case study based on Huawei and Haier
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Autor/in / Beteiligte Person: | Yang, Lei |
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Zeitschrift: | 2020 International Conference on Computer Science and Management Technology (ICCSMT), 2020-11-01 |
Veröffentlichung: | IEEE, 2020 |
Medientyp: | unknown |
DOI: | 10.1109/iccsmt51754.2020.00045 |
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