Functional technology foresight. A novel methodology to identify emerging technologies

被引:0
|
作者
Riccardo Apreda
Andrea Bonaccorsi
Felice dell’Orletta
Gualtiero Fantoni
机构
[1] Erre Quadro srl,
[2] University of Pisa,undefined
[3] Consiglio Nazionale delle Ricerche,undefined
来源
关键词
Technology; Foresight; Biomedical; Functional analysis; SMEs; Affordability;
D O I
暂无
中图分类号
学科分类号
摘要
The speed and complexity of the technology evolution faced by modern societies need new approaches to the analysis and understanding of the world. Indeed, an exclusive focus on technological goals can miss to recognize all the stakeholders of a technology and address real user needs; moreover, on the one hand low signals are becoming more and more important in fast evolving markets, on the other hand the excess of hype, fashions, or vested interests sometimes deeply alter indicators. However, the so called Big Data promise to be a huge low cost set of valuable information, available and affordable to all (SMEs included). But, analyzing them is not trivial especially if we deal with academic papers and patents. To tackle these issues, the present paper proposes to apply a powerful methodological tool called Functional Analysis to the Technology Foresight process. Actually the rigorous study of the functions, that an artefact should perform to satisfy the user needs, provides a universal and thus unifying point of view, which is able to correlate the user perspective on the product with its technical features. Functional reasoning has been applied to (i) detect possible patterns of development, spotting missing elements and highlighting strengths as well as potential sources of failure; (ii) to enhance traditional bibliometric tools such as the analysis of S-curves and (iii), integrated with a natural language processing analysis toolchain, tailored for patent documents, to identify emerging technologies. The paper describes the functional approach to technology foresight activity, presents how to integrate it with text mining algorithms and experts’ domain knowledge, and finally discusses its benefits in the context of Technology Foresight also from an economic point of view, showing that oresight is affordable also for Small and Medium Enterprises.
引用
收藏
相关论文
共 50 条
  • [41] Advances in multiscale modeling for novel and emerging technologies
    Alexey V. Verkhovtsev
    Ilia A. Solov’yov
    Andrey V. Solov’yov
    The European Physical Journal D, 2021, 75
  • [42] Emerging and novel technologies in reproductive and developmental toxicology
    Maier, Susan E.
    Cabrera, Robert M.
    Chen, Yichang
    Vargesson, Neil
    REPRODUCTIVE TOXICOLOGY, 2024, 130
  • [44] A methodology for technology trend monitoring: the case of semantic technologies
    Oleg Ena
    Nadezhda Mikova
    Ozcan Saritas
    Anna Sokolova
    Scientometrics, 2016, 108 : 1013 - 1041
  • [45] Emerging fermentation technologies: Development of novel sourdoughs
    Lacaze, G.
    Wick, M.
    Cappelle, S.
    FOOD MICROBIOLOGY, 2007, 24 (02) : 155 - 160
  • [46] Advances in multiscale modeling for novel and emerging technologies
    Verkhovtsev, Alexey V.
    Solov'yov, Ilia A.
    Solov'yov, Andrey V.
    EUROPEAN PHYSICAL JOURNAL D, 2021, 75 (07):
  • [47] A methodology for technology trend monitoring: the case of semantic technologies
    Ena, Oleg
    Mikova, Nadezhda
    Saritas, Ozcan
    Sokolova, Anna
    SCIENTOMETRICS, 2016, 108 (03) : 1013 - 1041
  • [48] Commercial use of GM crop technology: Identifying the drivers using life cycle methodology in a technology foresight framework
    Borch, K
    Rasmussen, B
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2002, 69 (08) : 765 - 780
  • [49] NICE Medical Technologies Guidance A Novel and Rigorous Methodology to Address a New Health Technology Assessment Challenge
    Campbell, Bruce
    Campbell, Mark
    APPLIED HEALTH ECONOMICS AND HEALTH POLICY, 2012, 10 (05) : 295 - 297
  • [50] NICE Medical Technologies GuidanceA Novel and Rigorous Methodology to Address a New Health Technology Assessment Challenge
    Bruce Campbell
    Mark Campbell
    Applied Health Economics and Health Policy, 2012, 10 (5) : 295 - 297