How to improve a technology evaluation model: A data-driven approach

Noh, Heeyong; Seo, Jongwon; Yoo, Hyoung Sun; Lee, Sungjoo

doi:10.1016/j.technovation.2017.10.006

Cited by 18 publications

(23 citation statements)

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“…Previous studies related to technology evaluation have been discussed mainly in terms of evaluation targets and evaluation methods [22]. The former points out that not only the technology itself, but also the firm that utilizes the technology, has a very important meaning as an evaluation target [46].…”

Section: Reference Information For Technology Evaluationmentioning

confidence: 99%

“…The technology evaluation conducted by government facilities generally covers the consultation for specific commercialization planning and strategy, and therefore, the approaches are mostly based on the qualitative evaluation. In addition, individual researchers have proposed numerous methodologies to develop quantitative technology evaluation approaches [22]. These previous studies have attempted to measure technological characteristics using various quantifiable parameters and indicators, including developing real options-based mathematical models for technology valuation [51,52], suggesting priority determination models using multi-criteria decision-making analyses such as analytical hierarchy process [53][54][55][56], and establishing scoring models using a logistic model [57].…”

Section: Reference Information For Technology Evaluationmentioning

confidence: 99%

“…Technology evaluation, which is the most fundamental basis for implementing technology finance, is usually carried out by a combination of quantitative evaluation based on the quantified data and qualitative evaluation performed by the relevant experts [22][23][24][25][26]. It also encompasses not only the evaluation of the technology itself, but also the evaluation of the firm that is the subject of the commercialization of the technology, since the technology-based organizational capabilities also have a huge impact on determining the value of technology [22,27,28]. The quantitative evaluation generally facilitates the qualitative evaluation.…”

Section: Introductionmentioning

confidence: 99%

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An Approach to Generating Reference Information for Technology Evaluation

et al. 2018

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A system for technology evaluation is essential for successfully implementing a technology-based financial support system. Technology evaluation has generally relied on the qualitative evaluation performed by the relevant experts. When evaluating the technologies that a certain target firm possesses, the previous evaluation results for other firms that are similar to the target firm are used together for the purpose of improving the efficiency of the qualitative evaluation. To do this, technology evaluation institutes including, KOTEC, have presented a way to create a peer group and generate reference information in order to provide a clear guidance to the evaluators. However, the current approaches have limitations in that they cannot explore the detailed features of the individual firms. Therefore, this study proposes a systematic approach to generate reference information that facilitates efficient technology evaluation. We first create a peer group by collecting the relevant firms that have similarities with a certain target firm, and then measure the internal and external similarities between the target firm and all of the firms included in the peer group. We define the average value of similarities according to each evaluation rating as density, and finally generate the distribution and the descriptive statistics for the density as reference information. We expect that this study can contribute to improving the efficiency of qualitative evaluation work by provide practical reference information. Furthermore, the reliability of the technology evaluation will also be improved by reducing the difference in the evaluation results due to the individual differences of the evaluator.

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Section: Reference Information For Technology Evaluationmentioning

confidence: 99%

Section: Reference Information For Technology Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Approach to Generating Reference Information for Technology Evaluation

et al. 2018

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“…This paper follows this theory in the context of knowledge sharing, learning, and human development. Companies need to recognize the value of external partnerships in learning and human development and apply new procedures to obtain the flexibility and interoperability in the implementation for the new Industry 4.0 paradigm [3,7].…”

Section: Introductionmentioning

confidence: 99%

External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges

et al. 2019

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The new challenges that will currently affect the existence and sustainability of businesses stem from the dramatic changes that come from the fourth industrial revolution. Based on the concept of intellectual capital management as a resource-based strategic management approach, which leads to the management of structural, human, and relational capital, sustainable human resource management underlines the involvement of partnerships and external relations in learning and personal development processes. Industry 4.0 expects major changes in human resource management and processes such as education. Organizations will benefit from the new knowledge in the near future that will need to be brought into the internal environment of the organization constantly. However, this will require cooperation with the external environment, and the resulting new education opportunities built on cooperation with external partners, organizations, and educational institutions. Innovations as essential factors in adapting to major changes in the environment will be key in all organizational processes, including educational. This paper focuses on comparing highly innovative countries and less innovative countries in Central Europe, analyzing 1482 businesses by looking at differences in attitude towards employee education and individual forms of employee education. The main statistically significant difference is in the strategic approach to employee education and development and the set-up between innovative countries and moderate innovators.

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“…Los indicadores de tamaño del mercado TAM, SAM y SOM y de crecimiento CAGR, son un requisito informal para atraer o acceder a inversión (Diresta et al, 2015), usado en los modelos de evaluación de la tecnología, bien sea en el criterio de atractivo del mercado o en el de mercado potencial (Noh et al, 2018). Disponer de estos índices favorece la transferencia de patentes y estudios y facilita la puesta en marcha de sistemas de producción que abaraten los costes de fabricación y comercialización.…”

Section: Discussionunclassified

Revisión y evaluación técnico-económica de los sistemas de micro - riego usados en repoblación forestal

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El principito Agradecimientos Esta tesis presenta similitudes con un brinzal que nació siendo una pequeña idea hasta llegar a su arraigo final. Quiero mostrar mi reconocimiento y agradecimiento a todos los que lo han hecho posible A mis directores de tesis, Dr. D. Andrés Martínez de Azagra Paredes y Dr. D. José A. Reque Kilchenmann, mi más sincero agradecimiento por compartir vuestra sabiduría con un joven investigador, por el dialogo permanente, siempre enriquecedor, por la generosidad y humor en vuestra enseñanza, y por la motivación, tenacidad, paciencia, actitud y espíritu crítico que han hecho posible este trabajo, aun atravesando condiciones adversas. He sido muy afortunado. Gracias por vuestra amistad y ejemplo, siempre estaré en deuda con vosotros. A mis compañeros de trabajo por sus ánimos permanentes para concluir esta tesis. Especialmente a Jesús Hernández, Javier Gordo, Luis Finat, Alfonso González y Carmen García-Jiménez (D.E.P.) por compartir su experiencia en la aplicación de los cuidados culturales en las repoblaciones forestales. Revisión y evaluación técnico-económica de los sistemas de micro-riego usados en repoblación forestal. Índice

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How to improve a technology evaluation model: A data-driven approach

Cited by 18 publications

References 53 publications

An Approach to Generating Reference Information for Technology Evaluation

An Approach to Generating Reference Information for Technology Evaluation

External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges

Revisión y evaluación técnico-económica de los sistemas de micro - riego usados en repoblación forestal

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