Interdisciplinary Application of Technology Knowledge and Identification of Potential Technology Solution

  • Wang Xiaoyu ,
  • Miao Hong ,
  • Wang Fang
Expand
  • 1 Department of Information Resource Management, Business School of Nankai University, Tianjin 300071;
    2 Department of Management Science and Engineering, School of Economics and Management, Beijing University of Technology, Beijing 100124

Received date: 2016-08-01

  Revised date: 2016-11-13

  Online published: 2016-12-05

Abstract

[Purpose/significance] This study is about the research of searching potential interdisciplinary technology solutions. It helps enterprises breakthrough the bottleneck problems, clarifies the development tendency of technology, which guides enterprises by using interdisciplinary research methods to solve complex technical problems, ensuring the smooth progress of technology innovation. [Method/process] To describe the present situation of the technical knowledge interdisciplinary application and identify the potential technical solutions, we chose the process of technology knowledge flow among different fields as the breakthrough point. By introducing the knowledge discovery theory in semantic TRIZ, we matched the SAO structures extracted from patents with P&S themes and technology fields respectively. After this, we could paint the technology Roadmap for describing the application of knowledge in interdisciplinary research, as well as identifying potential technical solutions. [Result/conclusion] At last, this article validated the feasibility of the new method by 3D bio-printing technology. The conclusion shows that, with the continuous development of technology, the numbers of the kinds of technical problems and technical solutions continue to increase, the kinds of technical problems in the sub-technology fields are more dispersed, and technical solutions in the main-technology fields are more concentrated. The potential technical solution identified by this method has rationality and reliability, offer more clear guidance and decision support in technology innovation.

Cite this article

Wang Xiaoyu , Miao Hong , Wang Fang . Interdisciplinary Application of Technology Knowledge and Identification of Potential Technology Solution[J]. Library and Information Service, 2016 , 60(23) : 87 -96 . DOI: 10.13266/j.issn.0252-3116.2016.23.012

References

[1] ANDREASEN N C, BROWN T L, CHAYS J. Facilitating interdisciplinary research[M]. Washington, DC:National Academy of Sciences, National Academy of Engineering, and Institute of Medicine,2004:48.
[2] VERBITSKY M. A global Torelli theorem for hyperkahler manifolds[J]. Mathematics, 2009, 162(15):2929-2986.
[3] VICENTE-GOMILA J M. The contribution of syntactic-semantic approach to the search for complementary literatures for scientific or technical discovery[J]. Scientometrics, 2014, 100(3):659-673.
[4] KIM Y, TIAN Y, JEONG Y, et al. Automatic discovery of technology trends from patent text[C]//ACM Symposium on Applied Computing,2009:1480-1487.
[5] ZHANG Y, ZHOU X, PORTER A L, et al. Triple Helix innovation in China's dye-sensitized solar cell industry:hybrid methods with semantic TRIZ and technology roadmapping[J]. Scientometrics, 2014, 99(1):55-75.
[6] LI Z, ATHERTON M, HARRISON D. Identifying patent conflicts:TRIZ-Led Patent Mapping[J]. World patent information, 2014, 39(4):11-23.
[7] KOSTOFF R N, BLOCK J A, SOLKA J L, et al. Literature related discovery (LRD):Lessons learned, and future research directions[J]. Technological forecasting & social change, 2008, 75(2):276-299.
[8] KOSTOFF R N, BRIGGS M B, SOLKA J L, et al. Literature related discovery (LRD):Methodology[J]. Technological forecasting & social change, 2008, 75(2):186-202.
[9] KOSTOFF R N, SOLKA J L, RUSHENBERG R L, et al. Literature related discovery (LRD):Water purification[J]. Technological forecasting & social change, 2008,75(2):256-275.
[10] TSENG M L. A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach[J]. Expert systems with applications, 2009, 36(4):7738-7748.
[11] LIM H, PARK Y. Identification of technological knowledge intermediaries[J]. Scientometrics, 2010, 84(3):543-561.
[12] KO S S, KO N, KIM D, et al. Analyzing technology impact networks for R&D planning using patents:combined application of network approaches[J]. Scientometrics, 2014, 101(1):917-936.
[13] 苗红, 王晓宇, 黄鲁成,等. 基于专利的跨领域技术特征测度与分析[J]. 情报学报, 2015(5):484-492.
[14] 郭俊芳, 汪雪锋, 李乾瑞,等. 一种新型的技术形态识别方法——基于SAO语义挖掘方法[J]. 科学学研究, 2016, 34(1):13-21.
[15] ZHANG Y, ZHOU X, PORTER A L, et al. How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence:"problem& solution" pattern based semantic TRIZ tool and case study[J]. Scientometrics, 2014, 101(2):1375-1389.

Outlines

/

〈 〉