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Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies

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  • Xiaodong Yuan

    (Huazhong University of Science and Technology)

  • Weiling Song

    (Huazhong University of Science and Technology)

Abstract

Technological innovation capability (TIC) refers to a fundamental ability owned by an organization to invest and reorganize production factors in technology innovation for gaining competitive advantages. It has attracted increasing attention to evaluate enterprises’ TIC in a competitive market. However, the existing methods have some limitations in the accuracy and efficiency of assessing TIC. This paper proposes a novel approach of evaluating enterprises’ TIC, which combines the entropy weight method and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) based on patent information. Entropy can determine the weights of indicators that help improve the rationality of the weighting. Besides, TOPSIS may reasonably rank the calculating results, which helps solve poor results in a fuzzy comprehensive evaluation. The paper takes seven enterprises in the solar cell technology field as samples to illustrate the proposed method. The results show that the Entropy-TOPSIS method can effectively evaluate enterprises’ TIC and is more suitable for small samples.

Suggested Citation

  • Xiaodong Yuan & Weiling Song, 2022. "Evaluating technology innovation capabilities of companies based on entropy- TOPSIS: the case of solar cell companies," Information Technology and Management, Springer, vol. 23(2), pages 65-76, June.
  • Handle: RePEc:spr:infotm:v:23:y:2022:i:2:d:10.1007_s10799-021-00344-6
    DOI: 10.1007/s10799-021-00344-6
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    1. Kuo, Ting, 2017. "A modified TOPSIS with a different ranking index," European Journal of Operational Research, Elsevier, vol. 260(1), pages 152-160.
    2. Ernst, Holger & Omland, Nils, 2011. "The Patent Asset Index - A new approach to benchmark patent portfolios," World Patent Information, Elsevier, vol. 33(1), pages 34-41, March.
    3. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    4. Ernst, Holger, 2001. "Patent applications and subsequent changes of performance: evidence from time-series cross-section analyses on the firm level," Research Policy, Elsevier, vol. 30(1), pages 143-157, January.
    5. Abteen Ijadi Maghsoodi & Gelayol Abouhamzeh & Mohammad Khalilzadeh & Edmundas Kazimieras Zavadskas, 2018. "Ranking and selecting the best performance appraisal method using the MULTIMOORA approach integrated Shannon’s entropy," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-21, December.
    6. Yuan, Xiaodong & Li, Xiaotao, 2021. "Mapping the technology diffusion of battery electric vehicle based on patent analysis: A perspective of global innovation systems," Energy, Elsevier, vol. 222(C).
    7. Hong-Hua Qiu & Jing Yang, 2018. "An Assessment of Technological Innovation Capabilities of Carbon Capture and Storage Technology Based on Patent Analysis: A Comparative Study between China and the United States," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
    8. Dang, Jianwei & Motohashi, Kazuyuki, 2015. "Patent statistics: A good indicator for innovation in China? Patent subsidy program impacts on patent quality," China Economic Review, Elsevier, vol. 35(C), pages 137-155.
    9. Cheng, Cong & Yang, Monica, 2017. "Enhancing performance of cross-border mergers and acquisitions in developed markets: The role of business ties and technological innovation capability," Journal of Business Research, Elsevier, vol. 81(C), pages 107-117.
    10. Walczak, Dariusz & Rutkowska, Aleksandra, 2017. "Project rankings for participatory budget based on the fuzzy TOPSIS method," European Journal of Operational Research, Elsevier, vol. 260(2), pages 706-714.
    11. Amit Kumar Gupta & Narain Gupta, 2019. "Innovation and Culture as a Dynamic Capability for Firm Performance: A Study from Emerging Markets," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(4), pages 323-336, December.
    12. Kroll, Henning, 2011. "Exploring the validity of patent applications as an indicator of Chinese competitiveness and market structure," World Patent Information, Elsevier, vol. 33(1), pages 23-33, March.
    13. Zhang, Lingxian & Wang, Jieqiong & Wen, Haojie & Fu, Zetian & Li, Xinxing, 2016. "Operating performance, industry agglomeration and its spatial characteristics of Chinese photovoltaic industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 373-386.
    14. Yuan, Xiaodong & Li, Xiaotao, 2020. "A network analytic method for measuring patent thickets: A case of FCEV technology," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    15. Ferreira, Paulo Jorge Silveira & Dionísio, Andreia Teixeira Marques, 2016. "What are the conditions for good innovation results? A fuzzy-set approach for European Union," Journal of Business Research, Elsevier, vol. 69(11), pages 5396-5400.
    16. Zoltan J. Acs & Luc Anselin & Attila Varga, 2008. "Patents and Innovation Counts as Measures of Regional Production of New Knowledge," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 11, pages 135-151, Edward Elgar Publishing.
    17. Sterzi, Valerio, 2013. "Patent quality and ownership: An analysis of UK faculty patenting," Research Policy, Elsevier, vol. 42(2), pages 564-576.
    18. Wang, Wensheng & Zhang, Chengyi, 2018. "Evaluation of relative technological innovation capability: Model and case study for China's coal mine," Resources Policy, Elsevier, vol. 58(C), pages 144-149.
    19. Jun, Seung-Pyo & Yeom, Jaeho & Son, Jong-Ku, 2014. "A study of the method using search traffic to analyze new technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 82-95.
    20. Chen, Yunwei & Yang, Zhiping & Shu, Fang & Hu, Zhengyin & Meyer, Martin & Bhattacharya, Sujit, 2009. "A patent based evaluation of technological innovation capability in eight economic regions in PR China," World Patent Information, Elsevier, vol. 31(2), pages 104-110, June.
    21. Ger Devlin & Radomír Klvač, 2014. "How Technology Can Improve the Efficiency of Excavator-Based Cable Harvesting for Potential Biomass Extraction—A Woody Productivity Resource and Cost Analysis for Ireland," Energies, MDPI, vol. 7(12), pages 1-22, December.
    22. Lee, Changyong & Kwon, Ohjin & Kim, Myeongjung & Kwon, Daeil, 2018. "Early identification of emerging technologies: A machine learning approach using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 291-303.
    23. Yuan, Xiaodong & Cai, Yuchen, 2021. "Forecasting the development trend of low emission vehicle technologies: Based on patent data," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    24. Yam, Richard C. M. & Guan, Jian Cheng & Pun, Kit Fai & Tang, Esther P. Y., 2004. "An audit of technological innovation capabilities in chinese firms: some empirical findings in Beijing, China," Research Policy, Elsevier, vol. 33(8), pages 1123-1140, October.
    25. Anne Duchêne & Debapriya Sen & Konstantinos Serfes, 2015. "Patent Licensing and Entry Deterrence: The Role of Low Royalties," Economica, London School of Economics and Political Science, vol. 82, pages 1324-1348, December.
    26. Sueyoshi, Toshiyuki & Goto, Mika, 2014. "Environmental assessment for corporate sustainability by resource utilization and technology innovation: DEA radial measurement on Japanese industrial sectors," Energy Economics, Elsevier, vol. 46(C), pages 295-307.
    27. Inchae Park & Keeeun Lee & Byungun Yoon, 2015. "Exploring Promising Research Frontiers Based on Knowledge Maps in the Solar Cell Technology Field," Sustainability, MDPI, vol. 7(10), pages 1-30, October.
    28. Iain M. Cockburn & Megan J. MacGarvie, 2011. "Entry and Patenting in the Software Industry," Management Science, INFORMS, vol. 57(5), pages 915-933, May.
    29. Loet Leydesdorff & Floortje Alkemade & Gaston Heimeriks & Rinke Hoekstra, 2015. "Patents as instruments for exploring innovation dynamics: geographic and technological perspectives on “photovoltaic cells”," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 629-651, January.
    30. Huang, Wencheng & Shuai, Bin & Sun, Yan & Wang, Yang & Antwi, Eric, 2018. "Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 292-303.
    31. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    32. Kuei-Kuei Lai & Chien-Yu Lin & Yu-Hsin Chang & Ming-Chung Yang & Wen-Goang Yang, 2017. "A structured approach to explore technological competencies through R&D portfolio of photovoltaic companies by patent statistics," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1327-1351, June.
    33. Fischer, Timo & Leidinger, Jan, 2014. "Testing patent value indicators on directly observed patent value—An empirical analysis of Ocean Tomo patent auctions," Research Policy, Elsevier, vol. 43(3), pages 519-529.
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