Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods

Orlova, Ekaterina V.

doi:10.3390/math9151820

Cited by 26 publications

(10 citation statements)

References 41 publications

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“…There was also proposed the model for assessing the impact of health quality on labor productivity. When forming the trajectories of professional development, the employee's age is also taken into account in accordance with generation theory (Nikitochkina 2021;Orlova 2019Orlova , 2020cOrlova , 2021b. Separately, we note the issue of data confidentiality.…”

Section: Chcm Methodologymentioning

confidence: 99%

Design of Personal Trajectories for Employees’ Professional Development in the Knowledge Society under Industry 5.0

Orlova

2021

Social Sciences

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The main feature of Industry 5.0 is “personalization”, linked not only to provide customers with personalized products, but also, in our opinion, to ensure personalization in labor relations with employees, since it increases human value through human–machine collaboration. The human capital quality determines a significant contribution not only to the labor productivity growth, but also to extend a social communication, loyalty and employees’ trust. The study proposes the new methodological approach for corporate human capital assessment and management (CHCM) over new conditions of digital transformation. The CHCM uses methods of system analysis and synthesis, expert assessments, descriptive statistical analysis and survey. The novelty of CHCM is that, firstly, it reflects all the essential features and properties of human capital under emergence of new professions; secondly, it combines and comprehensively uses both quantitative and qualitative methods for human capital assessment, reflecting the subjective and objective aspects of human capital measurement; thirdly, it allows to create warranted management decisions about individual trajectories of professional development of employees, ensuring the continuous growth of individual, corporate and social wealth. It is proved experimentally that the implementation of individual trajectories for employees’ professional development provides 2–3 years’ perspective on companies’ performance growth.

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Section: Chcm Methodologymentioning

confidence: 99%

Design of Personal Trajectories for Employees’ Professional Development in the Knowledge Society under Industry 5.0

Orlova

2021

Social Sciences

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“…Since most economic time series are subject to the volatility of parameters, such models usually provide better accuracy. In credit scoring, this approach, as will be shown further in the paper, can also increase the efficiency of previously constructed models [30][31][32].…”

Section: Literature Reviewmentioning

confidence: 89%

Credit Risk Theoretical Model on the Base of DCC-GARCH in Time-Varying Parameters Framework

et al. 2021

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The research paper is devoted to developing a mathematical approach for dealing with time-varying parameters in rolling window logit models for credit risk assessment. Forecasting coefficients yields a better model accuracy than a trivial approach of using computed past statistics parameters for the next time period. In this paper, a new method of dealing with time-varying parameters of scoring models is proposed, which is aimed at computing the default probability of a borrower. It was empirically shown that in a continuously changing economic environment factors’ influence on a target variable is also changing. Therefore, forecasting coefficients yields a better financial result than simply applying parameters obtained by accumulated statistics over past time periods. The paper develops a new theoretical approach, incorporating a combination of the ARIMA class model, the DCC-GARCH model and the state–space model, which is more accurate, than using only the ARIMA model. Rigorous simulation testing is provided to confirm the efficiency of the proposed method.

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“…• modeling methods based on the mathematical modeling of physical processes (structural models) (Simulation-Based DT) [1][2][3][4][5]; • modeling methods based on data (Data-based DT) [6,7]; • hybrid methods (Hybrid DT) [8][9][10][11].…”

Section: Literature Reviewmentioning

confidence: 99%

Design Technology and AI-Based Decision Making Model for Digital Twin Engineering

Orlova

2022

Future Internet

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This research considers the problem of digital twin engineering in organizational and technical systems. The theoretical and methodological basis is a fundamental scientific work in the field of digital twins engineering and applied models. We use methods of a system approach, statistical analysis, operational research and artificial intelligence. The study proposes a comprehensive technology (methodological approach) for digital twin design in order to accelerate its engineering. This technology consists of design steps, methods and models, and provides systems synthesis of digital twins for a complex system (object or process) operating under uncertainty and that is able to reconfigure in response to internal faults or environment changes and perform preventive maintenance. In the technology structure, we develop a simulation model using situational “what-if” analysis and based on fuzzy logic methods. We apply this technology to develop the digital twin prototype for a device at the creation life cycle stage in order to reduce the consequences of unpredicted and undesirable states. We study possible unforeseen problems and device faults during its further operation. The model identifies a situation as a combination of failure factors of the internal and external environment and provides an appropriate decision about actions with the device. The practical significance of the research is the developed decision support model, which is the basis for control systems to solve problems related to monitoring the current state of technical devices (instruments, equipment) and to support adequate decisions to eliminate their dysfunctions.

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Methodology and Models for Individuals’ Creditworthiness Management Using Digital Footprint Data and Machine Learning Methods

Cited by 26 publications

References 41 publications

Design of Personal Trajectories for Employees’ Professional Development in the Knowledge Society under Industry 5.0

Design of Personal Trajectories for Employees’ Professional Development in the Knowledge Society under Industry 5.0

Credit Risk Theoretical Model on the Base of DCC-GARCH in Time-Varying Parameters Framework

Design Technology and AI-Based Decision Making Model for Digital Twin Engineering

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