A framework for technology transfer potential assessment

Estep, Judith; Daim, Tuğrul U.

doi:10.1109/picmet.2016.7806626

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…Paper [8] highlights the main methods of assessing the effectiveness of technology transfer: the FARE (factorrelationship) method and the TOPSIS method, which is one of the powerful methods for making the optimal management decision. At the same time, the author does not specify the organizational conditions of use and applied value.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Makedon,

Myachin,

Plakhotnik

et al. 2024

EEJET

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The object of research is technology transfer, which covers the mechanism of transfer of technological knowledge and innovations from developers to end users or manufacturers. The problem to be solved is to provide a relevant assessment of the effectiveness of technology transfer by applying modern economic and mathematical models (based on the method of fuzzy logic) to assess the effectiveness of technology transfer under conditions of uncertainty. The main results obtained: a fuzzy-logical model for evaluating the level of the technology transfer efficiency indicator was built; it is performed according to the following algorithm: 1) the involvement of three components of technology transfer – technological, financial, and marketing as input variables of the model, which are calculated on the basis of statistical and financial reporting data, expert surveys; 2) selection of parameters and type of membership function for three input variables and one output variable (integral indicator) and construction of a system of 27 logical rules; 3) determining the efficiency of technology transfer using Mamdani's fuzzy derivation and checking the adequacy of the model. A visualization of the "input-output" surface was performed, which determines the maximum value of the TTPE (TechnologyTransferProjectsEfficiency) indicator, which serves as a summary indicator for the success of technology transfer projects and is observed at high levels of model input variables. The indicator T (technical component of technology transfer efficiency), F (financial component of technology transfer efficiency), and M (marketing component of technology transfer efficiency) was introduced. The scientific results could be applied to determine the optimal ways of technology transfer to industry, to plan strategies for introducing new technological products to the market, taking into account the effectiveness of licensing, partnership, and cooperation processes

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Makedon,

Myachin,

Plakhotnik

et al. 2024

EEJET

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“…Результаты проведенных ранее исследований систем критериев отбора и оценки, используемых для отбора проектов в научно-технологической сфере [18][19][20][21][22][23][24][25], как и результаты анализа информационных показателей, используемых в различных моделях оценки R&D проектов [3,8,14,16,17,[26][27][28][29][30][31][32][33][34][35], наряду с диаграммами, представленными на рисунке 2 и рисунке 3, свидетельствуют, что несмотря на значительную специфику, присущую методам и критериям оценки, которая определяется требованиями конкретных корпораций и организаций к R&D проектам при решении стоящих перед ними задач (ср., например, [18] и [36]), существуют общие показатели или характеристики проектов, упоминаемые практически во всех методах и моделях оценки. Это означает, что такие общие показатели и характеристики должны использоваться в модели оценки технологической готовности научно-технологического проекта и его потенциала на ранних стадиях разработки, в том числе и для того, чтобы обеспечить легитимность результатов оценки в различных корпорациях и институтах инновационного развития.…”

Section: критерии оценки техноло-гической готовности научно-технологических проектов на различных стадиях их выполненияunclassified

“…• коммерциализация -это не просто процесс создания продукта, подходящего для определенного рынка по доступной цене, который удовлетворяет рыночный спрос, а, скорее, процесс перемещения результатов научно-технологических проектов или технологий из сектора исследований и разработок, выполняемых научно-исследовательскими организациями, вузами и лабораториями, в промышленные компании [2,3]; коммерциализация результатов -сложный процесс, в котором задействованы многие участники в разных сферах: научные организации, вузы, коммерческие компании и потребители. Процесс коммерциализации требует таких навыков, как разработка продукта, оценка рынка, разработка рыночных стратегий, управление финансами, производством, бухгалтерский учет и т.д.…”

Section: Introductionunclassified

“…Данный элемент системы отбора R&D проектов предполагает обязательное привлечение экспертов в различных отраслях 3. Например, формы представления информации, формы экспертных заключений, базы данных и т.п 4.…”

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A Conceptual Model for Assessing the Technological Readiness of a R&D Project and its Potential at the Early Stages of Development

Комаров¹,

Пихтарь²,

Гриневский³

et al. 2021

jour

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The article proposes a conceptual model for assessing the technological readiness and the potential of a R&D project at the early stages of its development (TPRA – Technology Project Readiness Assessment). The proposed model will allow to assess the technological readiness of the scientific and technological projects, the commercial potential of their results, the possibility of participation of the results of projects in the transfer of technologies, the possibility of using the results obtained as a scientific and technical groundwork, as well as the risks of nonfulfillment of projects within the framework of a single tool. The results that can be obtained in the assessment process can be used to improve the efficiency of planning and implementation of R&D in the institutions for innovative development, as well as in corporations and organizations that invest in R&D processes.

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“…The latter indicates that methods for technology evaluation are broadly categorized as quantitative and qualitative, and that their combined use can be useful for improving the reliability and efficiency of the evaluation [23,24]. The National Technology Transfer Center (NTTC) is a United States (US) technology assessment and transfer facility that operates programs to help federally generated technological developments be transferred to the private industry [47]. The NTTC had proposed the NTTC Technology Opportunity Potential (TOP) index as a technology assessment model, which consists of 10 qualitative technical evaluation factors, including technical merit, competitive environment, proprietary position, market attractiveness, manufacturability, regulatory issues, technical hurdles, time to market, organizational needs, and return on investment [48,49].…”

Section: Reference Information For Technology Evaluationmentioning

confidence: 99%

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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A framework for technology transfer potential assessment

Cited by 7 publications

References 28 publications

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

Construction of a model for evaluating the efficiency of technology transfer process based on a fuzzy logic approach

A Conceptual Model for Assessing the Technological Readiness of a R&D Project and its Potential at the Early Stages of Development

An Approach to Generating Reference Information for Technology Evaluation

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