Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach

Yu, Anyu; Shi, Yu; You, Jing; Zhu, Joe

doi:10.1016/j.ejor.2020.10.011

Cited by 62 publications

(36 citation statements)

References 43 publications

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“…The importance and relevance of evaluating R&D products are demonstrated in the studies [5][6][7][8][9][10] where scientists propose a variety of decisions that focus on social, technological, environmental, marketing, financial, and other characteristics of innovative products that are being prepared for commercialization. Some scientists divide the innovation process into separate stages, which are economically evaluated, for example, at the stage of R&D and commercialization [11]; the others [12,13] evaluate R&D products based on their complexity. However, in these studies, the authors did not aim to aggregate the evaluated aspects of the R&D product into an indicator or a group of indicators that would be useful for commercialization conditions.…”

Section: General Literature Review Of the Research Problemmentioning

confidence: 99%

Holistic Approach to R&D Products’ Evaluation for Commercialization under Open Innovations

Chukhray

Mrykhina

Izonin

2022

Journal of Open Innovation: Technology, Market, and Complexity

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A holistic approach to R&D products’ evaluation for commercialization under open innovations is developed. The approach is tested on the example of the device of the interferometric determination of the refractive index of crystalline materials in the optical range. The proposed approach will allow setting a price that will satisfy all the parties of a transfer agreement with a higher level of accuracy and will meet market requirements. Unlike popular methods of evaluating the R&D product, a holistic approach will, on the one hand, be based on the actual costs and the break-even level of a R&D product and, on the other hand, will determine how much the consumer is receptive to a R&D product, and, then again, will show how the added value of the product will develop under the influence of market effects. It is noted that the application of a holistic approach to R&D products’ evaluation for commercialization should be supplemented by assessing the willingness of potential customers to purchase this R&D product at a specific price. It is proved that the proposed holistic approach to R&D products’ evaluation for commercialization is multifunctional. The approach can be applied to different types of economic activity, R&D products, and types of markets. The obtained prices based on the application of a holistic approach to R&D products’ evaluation for commercialization and the results of marketing research of the interferometry market testified to potential prospects of the commercialization of a R&D product of the interferometric determination of the refractive index of crystalline materials in the optical range and its long-term competitiveness. Based on the results, the key provisions of the concept of providing competitive benefits for the period of implementation of the analyzed R&D product are identified. Taking into account fundamental elements of the open innovation paradigm underpins the authors’ holistic approach.

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Section: General Literature Review Of the Research Problemmentioning

confidence: 99%

Holistic Approach to R&D Products’ Evaluation for Commercialization under Open Innovations

Chukhray

Mrykhina

Izonin

2022

Journal of Open Innovation: Technology, Market, and Complexity

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“…Performance measurement has a significant role in organisational diagnosis and improvement purposes (Asiaei et al, 2022; Pinheiro et al, 2021). Several approaches have been proposed by different researchers (Govindan et al, 2021; Jasiulewicz‐Kaczmarek et al, 2021; Peykani et al, 2021; Yu et al, 2021). Based on a review conducted by (Pourjavad & Mayorga, 2019), multi‐criteria decision‐making (MCDM), fuzzy MCDM (FMCDM) and data envelopment analysis are the most common techniques used for performance measurement.…”

Section: Introductionmentioning

confidence: 99%

“…The same problem occurs with data envelope analysis (DEA). DEA is a non‐parametric approach that can capture the relative performance of a series of decision‐making units (DMUs), or alternatives, based on multiple inputs (Liu et al, 2019; Pachar et al, 2021; Yu et al, 2021). DEA works based on multiple units/alternatives and cannot give a performance index for a single unit without comparison with the other units.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context

et al. 2022

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During the last 20 years, there has been an increased interest among academics and practitioners in the area of business incubation. However, limited attention has been devoted to developing a comprehensive framework that can measure business incubators' performances. Therefore, there is an urgent need for an appropriate, robust and useable performance framework. In this paper, we present a comprehensive framework using a weighted fuzzy inference system for business incubation centres' (BIC) performance measurement. The proposed approach utilises the input of a Delphi panel to identify criteria and subcriteria. Then a fuzzy analytic hierarchy process is used to weigh the criteria. Subsequently, a weighted fuzzy inference system is developed and applied to provide results based on the identified criteria and subcriteria. To show the proficiency and applicability of the proposed framework, a case study of Irish BICs is applied. The comprehensive performance measurement framework presented in this paper provides for accurate evaluation and monitoring across six criteria. The six criteria are facilities and infrastructure; clients; networking and marketing; products and services; finance; and human capital. The results show that although most of the BICs focus on facilities and infrastructure, there is a need to concentrate more on factors such as networking, marketing and finance. The detailed approach presented in this paper can be used by academics and practitioners who wish to apply fuzzy inference systems to performance measurement. In addition, the results from our pilot can be used by BIC managers and policymakers to improve performance.

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“…An et al [2] applied a dynamic network DEA approach to assess the relative efficiencies of Chinese high-tech industries. Yu et al [50] also developed a newly dynamic network DEA model for the performance evaluation of R&D, commercialization, and overall innovation processes to measure dynamic innovation performance of China's high-tech companies. Although these studies have described the high-tech industries' internal structures such as intermediate factors and shared resources, few have considered feedback factors and the interactive relationship between the stages.…”

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confidence: 99%

Performance evaluation of the Chinese high-tech industry: A two-stage DEA approach with feedback and shared resource

Wang

Zhao

Yang

et al. 2022

JIMO

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The operational process of high-tech industry can be separated into a research and development stage (RDS) and a commercialization stage (CS). Within this, the research employees are shared by both stages, and part of the economic output of the CS becomes a feedback factor and continuously flows back to the RDS. Using this framework, this study establishes cooperative and non-cooperative two-stage data envelopment analysis (DEA) models to explore the efficiencies of regional high-tech industries in China. The proposed approach can calculate the overall efficiency and stage efficiencies simultaneously. Based on empirical data of high-tech industries in 29 regions of China from 2012 to 2016, it is concluded that (1) a harmony exists between the RDS and the CS in the cooperative case, while a disharmony happens between the RDS and CS in the non-cooperative case; (2) there exist distinct geographic characteristics regarding the stage inefficiencies of these regional high-tech industries.

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Innovation performance evaluation for high-tech companies using a dynamic network data envelopment analysis approach

Cited by 62 publications

References 43 publications

Holistic Approach to R&D Products’ Evaluation for Commercialization under Open Innovations

Holistic Approach to R&D Products’ Evaluation for Commercialization under Open Innovations

A comprehensive performance measurement framework for business incubation centres: Empirical evidence in an Irish context

Performance evaluation of the Chinese high-tech industry: A two-stage DEA approach with feedback and shared resource

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