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首页> 外文期刊>Sustainability >Exploring Suitable Technology for Small and Medium-Sized Enterprises (SMEs) Based on a Hidden Markov Model Using Patent Information and Value Chain Analysis
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Exploring Suitable Technology for Small and Medium-Sized Enterprises (SMEs) Based on a Hidden Markov Model Using Patent Information and Value Chain Analysis

机译：基于专利信息和价值链分析的隐马尔可夫模型探索适合中小企业的技术

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摘要

R&D cooperative efforts between large firms and small and medium-sized enterprises (SMEs) have been accelerated to develop innovative projects and deploy profitable businesses. In general, win-win alliances between large firms and SMEs for sustainable growth require the pre-evaluation of their capabilities to explore high potential partners for successful collaborations. Thus, this research proposes a systematic method that identifies SME-suitable technology where SMEs have a competitive edge in R&D collaborations. First, such technology fields are identified by various factors that influence successful R&D activities by applying the Hidden Markov Model (HMM) and using information on value chains of an industry. To identify these fields, innovation factors such as the current impact index and technology cycle time are composed using the bibliographic information of patents. Second, patent information is analyzed to obtain observation probability in terms of technical competitiveness, and value chain data is used to calculate transition probability in HMMs. Finally, the Viterbi algorithm is employed to formulate the aforementioned two types of probability as a tool for selecting appropriate fields for SMEs. This paper applies the proposed approach to the solar photovoltaic industry to explore SME-suitable technologies. This research can contribute to help develop successful R&D partnership between large firms and SMEs.
机译：大型企业和中小企业之间的研发合作努力已经加快，以开发创新项目和部署盈利业务。总的来说，大企业与中小型企业之间为实现可持续增长而建立的双赢联盟需要对其能力进行预先评估，以探索高潜力的合作伙伴以实现成功的合作。因此，本研究提出了一种系统的方法，该方法可以识别适合中小企业的技术，从而使中小企业在研发合作中具有竞争优势。首先，通过应用隐马尔可夫模型（HMM）和使用行业价值链上的信息，通过影响成功研发活动的各种因素来识别这些技术领域。为了识别这些领域，使用专利书目信息来构成创新因素，例如当前影响指数和技术周期。其次，分析专利信息以获得技术竞争力方面的观察概率，并使用价值链数据计算HMM中的转移概率。最后，采用维特比算法将上述两种概率公式化为选择适合中小企业的领域的工具。本文将提出的方法应用于太阳能光伏产业，以探索适合中小企业的技术。这项研究可以帮助建立大型企业和中小型企业之间成功的研发合作伙伴关系。

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