Analysis of Motivation and Perceived Risk Factors in Open Data Measurement: A Conceptual Model

Amalia, Dwi Nur; Susanto, Tony Dwi

doi:10.1016/j.procs.2019.11.128

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…(1) Economic growth rate (A1): this indicator reflects the overall macroeconomic situation faced by the surveyed object and refers to the economic growth rate of nominal GDP after deducting inflation factors, also known as the real GDP growth rate [11]. e economic growth rate calculation formula is…”

Section: Selection Of Metrics and Early Warning Indexes Based On Gmdhmentioning

confidence: 99%

Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

Zeng

2021

Security and Communication Networks

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In order to deal with the problems of traditional e-banking risk measurement and early warning methods, such as low accuracy of e-banking risk measurement and longer early warning time, an e-banking risk measurement and early warning method based on the GMDH algorithm is proposed. This scheme mines the e-banking risk measurement and early warning indicators by the GMDH algorithm, and it will input the influencing factors and risk factors as independent variables into the GMDH modeling network and then input the e-banking business growth rate as the dependent variable into the GMDH modeling network which is standardized by the normative method of processing the e-banking business risk measurement and early warning index data. According to the processing results, it calculates the weight of the measurement and early warning index by the entropy method, and it constructs the e-banking risk measurement model with the genetic algorithm which can help to calculate the optimal solution of the parameters, formulate the risk measurement interval, and determine the risk in order to realize the risk warning of electronic banking business. The simulation results show that the proposed method has a higher accuracy of e-banking risk measurement and a shorter warning time.

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Section: Selection Of Metrics and Early Warning Indexes Based On Gmdhmentioning

confidence: 99%

Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

Zeng

2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

Building a government-owned open data platform for connected and autonomous vehicles

Deng,

Hu,

Guan

et al. 2024

Cities

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Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use

Lněnička

Luterek

Nikiforova

2022

Telematics and Informatics

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Analysis of Motivation and Perceived Risk Factors in Open Data Measurement: A Conceptual Model

Cited by 4 publications

References 21 publications

Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

Research on Risk Measurement and Early Warning of Electronic Banking Business Based on GMDH Algorithm

Building a government-owned open data platform for connected and autonomous vehicles

Benchmarking open data efforts through indices and rankings: Assessing development and contexts of use

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