Research on the Evaluation of Regional Scientific and Technological Innovation Capabilities Driven by Big Data

被引：0
作者：
Liang, Kun [1 ]
Wu, Peng [1 ]
Zhang, Rui [1 ]
机构：
[1] Anhui Univ, Sch Business, Hefei 230601, Peoples R China
来源：
SUSTAINABILITY | 2024年 / 16卷 / 04期
关键词：
RSTI; big data; LDA; AHP-SMO; DEVELOPMENT PROJECT-SELECTION; SYSTEM;
D O I：
10.3390/su16041379
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Scientific and technological innovation (STI) is an important internal driver of social and economic development. Reasonable evaluation of regional scientific and technological innovation (RSTI) capability helps discover shortcomings in the development of urban development and guides the allocation of scientific and technological resources and the formulation of policies to promote innovation. This paper analyzes new opportunities created by big data and artificial intelligence for the evaluation of RSTI capability, and based on this analysis, the collaborative evaluation schemes of multi-entity participation are investigated. In addition, considering the important value of unstructured data in evaluating STI, the Latent Dirichlet Allocation (LDA) topic model and sentiment analysis method are employed to analyze the construction of an evaluation indicator system that integrates scientific and technological news data. To fully utilize the respective advantages of human experts and machine learning in the field of complex issue evaluation, this paper proposes an RSTI capability evaluation model based on AHP-SMO human-machine fusion. This study promotes the integration of science and technology and economy and has theoretical and practical significance.
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页数：22
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[1]   Evaluating Security of Big Data Through Fuzzy Based Decision-Making Technique [J].
Alassery, Fawaz ;
Alzahrani, Ahmed ;
Khan, Asif Irshad ;
Sharma, Kanika ;
Ahmad, Masood ;
Khan, Raees Ahmad .
COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 44 (01) :859-872
[2]   CNS: Research on Regional Evaluation and Distribution Characteristics of Enterprise Technological Innovation Capability Based on Internet of Things and Big Data [J].
Bai, Yingchao ;
Song, Yu .
INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS, 2022, 31 (3-4)
[3]   R AND D PROJECT SELECTION MODELS - ASSESSMENT [J].
BAKER, NR .
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1974, EM21 (04) :165-171
[4]   Exploring scientific productivity and transfer activities: Evidence from Argentinean ICT research groups [J].
Barletta, Florencia ;
Yoguel, Gabriel ;
Pereira, Mariano ;
Rodriguez, Sergio .
RESEARCH POLICY, 2017, 46 (08) :1361-1369
[5]   Preliminary Study on the Evaluation System of Technological Innovation Index for the Central Enterprises of International First-class Enterprises [J].
Chang, Yan ;
Shi, Yongpeng .
2019 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING (ICAESEE 2019), 2020, 446
[6]   EVALUATION OF REGIONAL INNOVATION CAPABILITY: AN EMPIRICAL STUDY ON MAJOR METROPOLITAN AREAS IN TAIWAN [J].
Dai, Yuan-Fung ;
Chu, Pin-Yu ;
Lu, Shih-Tong ;
Chen, Wei Tong ;
Tien, Yu-Chueh .
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2022, 28 (05) :1313-1349
[7]   Performance measures as forms of evidence for science and technology policy decisions [J].
Feller, Irwin .
JOURNAL OF TECHNOLOGY TRANSFER, 2013, 38 (05) :565-576
[8]   The determinants of national innovative capacity [J].
Furman, JL ;
Porter, ME ;
Stern, S .
RESEARCH POLICY, 2002, 31 (06) :899-933
[9]   The Role Of Extramural R&D And Scientific Knowledge In Creating High Novelty Innovations: An Examination Of Manufacturing And Service Firms In Spain [J].
Gomez, Jaime ;
Salazar, Idana ;
Vargas, Pilar .
RESEARCH POLICY, 2020, 49 (08)
[10]   Evolutionary Game Analysis of the Innovation Behavior of High-Tech Enterprises with Government Participation [J].
Gong, Chen ;
Liu, Jian ;
Chang, Jinping .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021 (2021)
1234