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R&D, productivity, and market value: An empirical study from high-technology firms

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  1. Huang, Chin-wei & Chiu, Yung-ho & Fang, Wei-ta & Shen, Neng, 2014. "Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach," Energy Policy, Elsevier, vol. 74(C), pages 547-556.
  2. Chandan Sharma, 2016. "R&D, Technology Transfer And Productivity In The Indian Pharmaceutical Industry," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-24, January.
  3. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
  4. Liu, Hui-hui & Song, Yao-yao & Liu, Xiao-xiao & Yang, Guo-liang, 2020. "Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  5. Yang, Zhenbing & Shao, Shuai & Li, Chengyu & Yang, Lili, 2020. "Alleviating the misallocation of R&D inputs in China's manufacturing sector: From the perspectives of factor-biased technological innovation and substitution elasticity," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  6. Yang Gao & Yu Wang & Chien-Chi Chu & Sang-Bing Tsai & Xiaomin Du & Quan Chen, 2018. "Nonlinear Effect of Financial Efficiency and Financial Competition on Heterogeneous Firm R&D: A Study on the Combined Perspective of Financial Quantity Expansion and Quality Development," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
  7. Min-Ren Yan & Kuo-Ming Chien & Lin-Ya Hong & Tai-Ning Yang, 2018. "Evaluating the Collaborative Ecosystem for an Innovation-Driven Economy: A Systems Analysis and Case Study of Science Parks," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
  8. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2020. "Reprint of "Performance evaluation of China's high-tech innovation process :Analysis based on the innovation value chain"," Technovation, Elsevier, vol. 94.
  9. Chen, Xihui Haviour & Tee, Kienpin & Chang, Victor, 2022. "Accelerating Innovation Efficiency through Agile Leadership: The CEO Network Effects in China," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  10. Kwon, He-Boong & Lee, Jooh & Choi, Laee, 2022. "Dynamic interplay of operations and R&D capabilities in U.S. high-tech firms: Predictive impact analysis," International Journal of Production Economics, Elsevier, vol. 247(C).
  11. Shi, Xing & Wu, Yanrui & Fu, Dahai, 2020. "Does University-Industry collaboration improve innovation efficiency? Evidence from Chinese Firms⋄," Economic Modelling, Elsevier, vol. 86(C), pages 39-53.
  12. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
  13. Lin, Shoufu & Lin, Ruoyun & Sun, Ji & Wang, Fei & Wu, Weixiang, 2021. "Dynamically evaluating technological innovation efficiency of high-tech industry in China: Provincial, regional and industrial perspective," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
  14. Santos, Sérgio P. & Amado, Carla A.F., 2014. "On the need for reform of the Portuguese judicial system – Does Data Envelopment Analysis assessment support it?," Omega, Elsevier, vol. 47(C), pages 1-16.
  15. Chen, Xiafei & Liu, Zhiying & Zhu, Qingyuan, 2018. "Performance evaluation of China's high-tech innovation process: Analysis based on the innovation value chain," Technovation, Elsevier, vol. 74, pages 42-53.
  16. Ya Wang & Jiaofeng Pan & Ruimin Pei & Guoliang Yang & Bowen Yi, 2020. "A Framework for Assessing Green Capacity Utilization Considering CO 2 Emissions in China’s High-Tech Manufacturing Industry," Sustainability, MDPI, vol. 12(11), pages 1-25, May.
  17. Bo Hsiao & Li-Hsueh Chen, 2019. "Performance Evaluation for Taiwanese Hospitals by Multi-Activity Network Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1009-1043, May.
  18. Huang, Chin-wei & Ho, Foo Nin & Chiu, Yung-ho, 2014. "Measurement of tourist hotels׳ productive efficiency, occupancy, and catering service effectiveness using a modified two-stage DEA model in Taiwan," Omega, Elsevier, vol. 48(C), pages 49-59.
  19. Trunina, Anna & Ashourizadeh, Shayegheh, 2021. "Business model-network interactions: Comparative case studies from Zhongguancun and Silicon Valley," Technology in Society, Elsevier, vol. 65(C).
  20. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
  21. Adu, Raymond & Litsios, Ioannis & Baimbridge, Mark, 2019. "Real exchange rate and asymmetric shocks in the West African Monetary Zone (WAMZ)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 232-249.
  22. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
  23. Afrifa, Godfred Adjapong & Amankwah-Amoah, Joseph & Yamoah, Fred & Acquaye, Adolf & Syllias, Johnny & Quaye, Enoch Nii Boi, 2022. "Regional development, innovation systems and service companies’ performance," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  24. Kwon, He-Boong, 2017. "Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 159-170.
  25. Lee, Jooh & Kwon, He-Boong, 2017. "Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 91-102.
  26. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.
  27. Kao-Yi Shen & Min-Ren Yan & Gwo-Hshiung Tzeng, 2017. "Exploring R&D Influences on Financial Performance for Business Sustainability Considering Dual Profitability Objectives," Sustainability, MDPI, vol. 9(11), pages 1-21, October.
  28. Jaeho Shin & Changhee Kim & Hongsuk Yang, 2019. "Does Reduction of Material and Energy Consumption Affect to Innovation Efficiency? The Case of Manufacturing Industry in South Korea," Energies, MDPI, vol. 12(6), pages 1-14, March.
  29. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2022. "Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework," Energy Policy, Elsevier, vol. 161(C).
  30. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
  31. Hyeokseong Lee & Namil Kim & Kiho Kwak & Wonjoon Kim & Hyungjoon Soh & Kyungbae Park, 2016. "Diffusion Patterns in Convergence among High-Technology Industries: A Co-Occurrence-Based Analysis of Newspaper Article Data," Sustainability, MDPI, vol. 8(10), pages 1-18, October.
  32. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
  33. Yu, Anyu & Zhang, Qin & Yu, Rongjian & Cheng, Yu, 2023. "More is better or in waste? A resource allocation measure of government grants for facilitating firm innovations," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  34. Li, Hongkuan & He, Haiyan & Shan, Jiefei & Cai, Jingjing, 2019. "Innovation efficiency of semiconductor industry in China: A new framework based on generalized three-stage DEA analysis," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 136-148.
  35. Shi, Xiutian & Shen, Bin, 2019. "Product upgrading or not: R&D tax credit, consumer switch and information updating," International Journal of Production Economics, Elsevier, vol. 213(C), pages 13-22.
  36. Kang, Chao-Chung & Wu, Chin-Chia, 2013. "Statistical precision of productivity change: A bootstrap application to Taiwan’s telecommunications industry," Telecommunications Policy, Elsevier, vol. 37(11), pages 1015-1032.
  37. Zhang, Bin & Luo, Yuan & Chiu, Yung-Ho, 2019. "Efficiency evaluation of China's high-tech industry with a multi-activity network data envelopment analysis approach," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 2-9.
  38. Saeed Assani & Jianlin Jiang & Ahmad Assani & Feng Yang, 2019. "Most productive scale size of China's regional R&D value chain: A mixed structure network," Papers 1910.03805, arXiv.org.
  39. Fang Chen Kao & Minh‐Hieu Le, 2022. "Effects of corporate social responsibility on pharmaceutical multinational enterprises performance: Research and development and business efficiency perspectives," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3419-3434, December.
  40. Ho, Foo Nin & Huang, Chin-wei, 2020. "The interdependencies of marketing capabilities and operations efficiency in hospitals," Journal of Business Research, Elsevier, vol. 113(C), pages 337-347.
  41. Kang, Martin & Miller, Andrew & Jang, Kyungmyung & Kim, Horim, 2022. "Firm performance and information security technology intellectual property," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
  42. Yu, Ming-Miin & Chen, Li-Hsueh & Hsiao, Bo, 2016. "Dynamic performance assessment of bus transit with the multi-activity network structure," Omega, Elsevier, vol. 60(C), pages 15-25.
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