Smart Manufacturing and Enterprise Breakthrough Innovation: Co-Existence Test of “U-Shaped” and Inverted “U-Shaped” Relationships in Chinese Listed Companies
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- Qiliang Wang & Qingquan Jiang & Hongxia Yu, 2023. "Analysis of the Influence of Entrepreneurial Apprehension and Entrepreneurial Strategic Orientation on Breakthrough Innovation," Sustainability, MDPI, vol. 15(9), pages 1-14, April.
- Marianna Makri & Michael A. Hitt & Peter J. Lane, 2010. "Complementary technologies, knowledge relatedness, and invention outcomes in high technology mergers and acquisitions," Strategic Management Journal, Wiley Blackwell, vol. 31(6), pages 602-628, June.
- Maliyamu Abudureheman & Qingzhe Jiang & Jiong Gong & Abulaiti Yiming, 2023. "Estimating and Decomposing the TFP Growth of Service-Oriented Manufacturing in China: A Translogarithmic Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(7), pages 1-20, March.
- Lipeng Sun & Nur Ashikin Mohd Saat, 2023. "How Does Intelligent Manufacturing Affect the ESG Performance of Manufacturing Firms? Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
- Takahashi, Carlos Kazunari & Figueiredo, Júlio César Bastos de & Scornavacca, Eusebio, 2024. "Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
- Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
- Marco Ardolino & Mario Rapaccini & Nicola Saccani & Paolo Gaiardelli & Giovanni Crespi & Carlo Ruggeri, 2018. "The role of digital technologies for the service transformation of industrial companies," International Journal of Production Research, Taylor & Francis Journals, vol. 56(6), pages 2116-2132, March.
- Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
- Jia Zhou & Aifang Guo & Yutao Chen & Jin Chen, 2022. "Original Innovation through Inter-Organizational Collaboration: Empirical Evidence from University-Focused Alliance Portfolio in China," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
- Fontana, Roberto & Nuvolari, Alessandro & Shimizu, Hiroshi & Vezzulli, Andrea, 2013.
"Reassessing patent propensity: Evidence from a dataset of R&D awards, 1977–2004,"
Research Policy, Elsevier, vol. 42(10), pages 1780-1792.
- Roberto Fontana & Alessandro Nuvolari & Hiroshi Shimizu & Andrea Vezzulli, 2013. "Reassessing patent propensity: evidence from a data-set of R&D awards 1977-2004," Working Papers Department of Economics 2013/09, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
- Johnson, Prince Chacko & Laurell, Christofer & Ots, Mart & Sandström, Christian, 2022. "Digital innovation and the effects of artificial intelligence on firms’ research and development – Automation or augmentation, exploration or exploitation?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
- Lee, Chien-Chiang & Qin, Shuai & Li, Yaya, 2022. "Does industrial robot application promote green technology innovation in the manufacturing industry?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Talavera Fabra, Irene & Ghobadian, Abby & Troise, Ciro & Bresciani, Stefano, 2023. "Antecedents of successful diffusion of breakthrough innovations past the formative phase: Perceptions of innovation-engaged practitioners," Technovation, Elsevier, vol. 127(C).
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Keywords
smart manufacturing; breakthrough innovation; innovation width; innovation depth; service-oriented transformation;All these keywords.
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