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Computer-aided industrial development path optimization: a case from "Optics Valley of China"

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Abstract

Under the background of “Made in China 2025” plan, advanced laser technology has become the latest direction of development. In order to create world-famous “optical valley”, it is urgent to study on development path of laser industry. Based on the path evolution theory, this paper analyzed the path dependence problems existing in the “Optics Valley of China” laser industry and found “two types of positive and four types of negative” path lock forms. In terms of the four types of negative lock, which are core technology, cognition of cluster development, industrial chain policy, and investment and financing environment, this paper put forward the path creation mechanism and constructed the relation model of path dependence and path creation in the “Optics Valley of China” laser industry. Furthermore, by applying the path breakthrough theory and logistic model, this paper designed three sets of path breakthrough optimization schemes with different emphases and verified their scientificity and feasibility though simulation approach. These research results provided scientific basis for the development of “Optics Valley of China” laser industry.

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References

  1. Zhao, H., Xu, Z.: Laser technology, a revolution in the history of human vision. China High Technol. Enterp. 17(6), 70–73 (2010)

    Google Scholar 

  2. Francis, S., Cohen, L.R.: Stop laser uranium enrichment. Nature 464(7285), 32–33 (2010)

    Article  Google Scholar 

  3. Yang, Q., Wan, X.Z., Liu, X.X.: Research on laser industrial development strategies in optics valley of China. Sci. Technol. Ind. 15(8), 24–28 (2015)

    Google Scholar 

  4. Hendry, C., Brown, J.: Dynamics of clustering and performance in the UK opto-electronics industry regional studies. J Reg. Stud. Assoc. 40(7), 707–725 (2006)

    Article  Google Scholar 

  5. Li, Y., Chen, G.: The path of transformation and upgrading of regional information industry. Ind. Econ. Rev. 2(2), 135–144 (2015)

    Google Scholar 

  6. Huo, Y.: Research on coordinated development degree of strategic emerging industries, traditional industries and regional economic space. J. Intell. 31(12), 180–185 (2012)

    Google Scholar 

  7. Lin, X.: Study on the development and formation pattern of strategic emerging industries. China Soft Sci. 27(2), 26–34 (2012)

    MathSciNet  Google Scholar 

  8. Dolfsma, W., Seo, D.B.: Government policy and technological innovation a suggested typology. Technovation 33(6), 173–179 (2013)

    Article  Google Scholar 

  9. Zhang, S., Xu, Q., Zhang, J.: The synergetic relationship between core technology and complementary assets in innovation capability evolution. Sci. Res. Manag. 35(11), 51–59 (2014)

    Google Scholar 

  10. Li, H., Qu, X.: Path evolution: seeking path creation by going beyond path dependence. J. Sichuan Univ. 54(2), 108–114 (2012)

    Google Scholar 

  11. Liu, J., Zheng, L.: Path creation and transformation of technological innovation mode in China’s high-tech zones. Sci. Res. Manag. 37(1), 98–102 (2016)

    Google Scholar 

  12. Zhang, H.: The analysis of regional industrial path development in different regional innovation systems. J. Ind. Technol. Econ. 35(4), 59–68 (2015)

    Google Scholar 

  13. Thrane, S., Blaabjerg, S., Møller, R.: Innovative path dependence: making sense of product and service innovation in path dependent innovation processes. Res. Policy 39, 932–944 (2010)

    Article  Google Scholar 

  14. Makkonen, H., Aarikka-Stenroos, L., Olkkonen, R.: Narrative approach in business network process research–Implications for theory and methodology. Ind. Mark. Manag. 41(2), 287–299 (2012)

    Article  Google Scholar 

  15. Öberg, C., Shih, T.T.: Divergent and convergent logic of firms: barriers and enablers for development and commercialization of innovations. Ind. Mark. Manag. 43(3), 419–428 (2014)

    Article  Google Scholar 

  16. Araujo, L., Harrison, D.: Path dependence, agency and technological evolution. Technol. Anal. Strat. Manage. 14(1), 5–19 (2002)

    Article  Google Scholar 

  17. Woodside, A., Biemans, W.G.: Modeling innovation, manufacturing, diffusion and adoption/rejection processes. J. Bus. Ind. Mark. 20(7), 380–393 (2005)

    Article  Google Scholar 

  18. Purchase, S., Kum, C., Olaru, D.: Paths, events and resource use: new developments in understanding innovation processes. Ind. Mark. Manage. 58, 123–136 (2016)

    Article  Google Scholar 

  19. Kirsi, A., Tuomas, A., Karlos, A.: Something old, something new: path dependence and path creation during the early stage of a project. Int. J. Project Manage. 35, 749–762 (2017)

    Article  Google Scholar 

  20. Gould, S.J., Eldredge, N.: Punctuated debate. Nature 368(6470), 408–418 (1994)

    Article  Google Scholar 

  21. Arthur, W.B.: Competing technologies, increasing returns and lock-in by historical events. Econ. J. 99(394), 116–131 (1989)

    Article  Google Scholar 

  22. Shi, X., Geng, G., Li, H.: New explanation of “path dependence” theory. Economist 186(6), 53–64 (2014)

    Google Scholar 

  23. Martin, R., Sunley, P.: Path dependence and regional economic evolution. Papers Evol. Econ. Geogr. 6(6), 395–437 (2006)

    Article  Google Scholar 

  24. Jin, J., Xuejun, X.: Research on path-dependence and path-creation of technology innovation. Sci. Res. Manage. 27(3), 36–41 (2006)

    Google Scholar 

  25. Yimei, Y.I., Zhigao, L.I., Weidong, L.I.: Path-dependence and its implication for regional development. Geogr. Res. 31(5), 782–791 (2012)

    Google Scholar 

  26. Lanbing, L., Binglian, L.: Source identification and dynamic evolution of regional economic growth performance in China: based on input-level decomposition. Econ. Res. J. 61(8), 58–72 (2015)

    Google Scholar 

  27. Gong, Y., Wang, Z., Gu, G.: Technology innovation and industry structure optimization: a study of agent-based simulation. Sci. Res. Manage. 36(8), 44–51 (2015)

    Google Scholar 

  28. Ke, L., Xiangke, L.: Path dependence, lock-in effect and the risk of industrial cluster development—an example of automobile industrial cluster in detroit. Reg. Econ. Rev. 28(1), 108–113 (2015)

    Google Scholar 

  29. Taishan, G., Xielin, L.: Do international R&D alliances really promote radical innovation? Sci. Res. Manage. 37(1), 48–57 (2016)

    Google Scholar 

  30. Garud, R., Kumaraswamy, A., Karnøe, P.: Path dependence or path creation? J. Manage. Stud. 47(4), 760–774 (2010)

    Article  Google Scholar 

  31. Wu, Y., Ji, Y., Lv, Y.: A symbiotic evolution research of financial industry and high-tech industry—The empirical evidence from China. Economist 187(7), 82–92 (2014)

    Google Scholar 

  32. Miranda, L.C.M., Lima, C.A.S.: On the logistic modeling and forecasting of evolutionary processes: application to human population dynamics. Technol. Forecast. Soc. Chang. 77(5), 699–711 (2010)

    Article  Google Scholar 

  33. Levering, R., Ligthart, R., Noorderhaven, N., Oerlemans, L.: Continuity and change in interorganizational project practices: the Dutch shipbuilding industry, 1950–2010. Int. J. Project Manage. 31(5), 735–747 (2013)

    Article  Google Scholar 

  34. Artto, K., Ahola, T., Vartiainen, V.: From the front end of projects to the back end of operations: managing projects for value creation throughout the system lifecycle. Int. J. Project Manage. 34(2), 258–270 (2016)

    Article  Google Scholar 

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Acknowledgements

The authors are very grateful to the editors and reviewers for their valuable comments and suggestions. This work was supported in part by the Major Projects of National Social Science Fund of China (Grant No. 16ZDA045), General Projects of National Social Science Fund of China (No. 16BSH072), the Key Soft Science Projects of Science and Technology Department of Hubei Province (2014BDF012), the Key Soft Science Research Program Projects of Wuhan Science and Technology Bureau (2016040306010176). National Natural Science Foundation of China (Grant No. 71603197).

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Authors and Affiliations

  1. School of Management, Wuhan University of Technology, Wuhan, China

    Qing Yang, Ling He & Xingxing Liu

  2. College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, USA

    Zhichao Yang

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  1. Qing Yang
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  2. Ling He
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  3. Xingxing Liu
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Correspondence to Xingxing Liu or Zhichao Yang.

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Yang, Q., He, L., Liu, X. et al. Computer-aided industrial development path optimization: a case from "Optics Valley of China". Cluster Comput 22 (Suppl 4), 8869–8878 (2019). https://doi.org/10.1007/s10586-018-2002-9

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  • DOI: https://doi.org/10.1007/s10586-018-2002-9

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