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Enterprise's R&D and Innovation Management

The Identification of R&D Direction of Enterprises' Technology  Oriented by Market Demand 

Zhang Shuo1 , Qiao Yali2 , Li Rongrong3 

(1.School of Economics and Management, Beijing University of Technology, Beijing 100124, China; 2.School of  Public Policy and Management, Tsinghua University, Beijing 100084, China; 3.School of Economics and Man⁃ agement, China University of Petroleum (East China), Qingdao 266580, China）

Abstract: element of enterprises' technological innovation activities  How to identify R&D directions of key technologies within a given field is a pivotal  . It not only concerns the optimal allo cation of resources and the enhancement of innovation efficiency but also serves as a vital strate ⁃ ⁃ gic measure for driving sustainable corporate growth and achieving technological breakthroughs. Given the nonlinear interactions among corporate strategies, market demands, and market envi⁃ ronment, even satisfied market demands can present development opportunities for emerging en⁃ terprises. This study constructs a model for identifying enterprises' technology R&D directions from a  competitor-oriented perspective. First, text mining techniques are employed to extract SubjectAction-Object structures and patent assignees from domain-related patent texts. The extracted  Subject/Object conceptual-level entities related to technology are used as technological repre⁃ sentations to construct a firm-technology association network and a firm collaboration network. Second, the firm-technology association matrix is standardized using Z-score normalization to  obtain a firm-technology scoring matrix. A community detection algorithm is then applied to the  firm collaboration network, and the Top-k technologies involving firms are selected based on  comprehensive community attributes and firm similarity scores, forming a candidate technology  list. Finally, indicators for technological growth potential and applicability are constructed to  quantitatively evaluate the identified candidate technologies, and recommended R&D directions  are proposed for firms based on their existing technological layouts. Taking Merck as an example, this study identifies enterprises' technology R&D directions The results indicate that tyrosine kinase inhibitors and BRAF inhibitors can be two major techno . ⁃ logical areas of focus for Merck's future independent or collaborative R&D. From a technological  standpoint, both tyrosine kinase inhibitors and BRAF inhibitors are means to fulfill existing de⁃ mands, exhibiting high technological growth potential and applicability. Given Merck's techno⁃ logical R&D layout, developing or collaborating on the development of tyrosine kinase inhibitors  and BRAF inhibitors could respectively synergize with its existing tumor immunotherapy (Baven⁃ cio) and Cetuximab, enhancing their efficacy in treating colorectal cancer patients. By constructing a systematic model for identifying enterprises' technology R&D directions, this study provides a scientific basis for firms to conduct precise and efficient technological inno⁃ vation activities. Additionally, it underscores the significance of reusing market needs, encourag⁃ ing collaboration and healthy competition among firms, and ultimately driving innovation and  growth within the industry. 

Key words: technological opportunities; SAO semantic mining; collaborative filtering algo⁃ rithm; R&D direction of technology