A Cross-Citation-Based Model for Technological Advancement Assessment: Methodology and Application

Shengxuan Tang, Ming Cai and Yao Xiao ()
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Shengxuan Tang: Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518000, China
Ming Cai: Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518000, China
Yao Xiao: Guangdong Provincial Key Laboratory of Intelligent Transportation System, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518000, China

Sustainability, 2024, vol. 16, issue 1, 1-20

Abstract: Assessing technological advancements is crucial for the formulation of science and technology policies and making well-informed investments in the ever-evolving technology market. However, current assessment methods are predominantly geared towards mature technologies, limiting our capacity for a systematic and quantitative evaluation of emerging technologies. Overcoming this challenge is crucial for accurate technology evaluation across various fields and generations. To address this challenge, we present a novel approach that leverages bibliometrics, specifically paper citation networks, to gauge shifts in the flow of knowledge throughout the technological evolution. This method is capable of discerning a wide array of trends in technology development and serves as a highly effective tool for evaluating technological progress. In this paper, we showcase the accuracy and applicability of this approach by applying it to the realm of mobile communication technology. Furthermore, we provide a comparative analysis of its quantitative results with other conventional assessment methods. The practical significance of our model lies in providing a nuanced understanding of emerging technologies within a specific domain, enabling informed decisions, and fostering strategic planning in technology-oriented fields. In terms of originality and value, this model serves as a comprehensive tool for assessing technological progress, quantifying emerging technologies, facilitating the evaluation of diverse technological trajectories, and efficiently informing technology policy-making processes.

Keywords: technology assessment; emerging technologies; citation analysis; technological knowledge flows; policy guidance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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