Research on the Mechanism and Identification of Key Influencing Elements for Releasing the Value of Data Elements in Smart Cities

Mo Hu, Yunchao Zhang () and Fan Sheng ()
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Mo Hu: School of Journalism and Communication, Nanjing Normal University, Nanjing 210097, China
Yunchao Zhang: Business School, Nankai University, Tianjin 300071, China
Fan Sheng: School of Economics and Management, Harbin Engineering University, Harbin 150001, China

Land, 2024, vol. 13, issue 12, 1-18

Abstract: The development of new information technology makes more people and things connected to the network, expanding the scale of data elements in smart cities; it also makes data a new production factor to drive the development of smart cities, greatly increasing the potential value of smart city data elements. However, this does not mean that smart city data elements can directly provide better products and services. The key to making smart city data elements truly contribute to the efficient operation of smart cities is to release their value. Given this, this paper defined the concept of smart city data element value release, analyzed the mechanism of data element value release in smart cities combined with DPSIR theory, identified five dimensions and 47 influencing factors that affect the data element value release in smart cities, and used the fuzzy-DEMATEL method to further identify 11 key influencing factors from 47 influencing factors. This research helps clarify the mechanism for releasing the value of data elements in smart cities and identify the factors that play a key role in releasing the value of data elements in smart cities in order to maximize the value of data elements in smart cities.

Keywords: smart city; data element; value release; key influencing factor; mechanism (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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