Special Issue "Electronization of Businesses - Systems Engineering and Analytics"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".

Deadline for manuscript submissions: 15 December 2020.

Special Issue Editor

Prof. Dr. Natalia Kryvinska
Website
Guest Editor
Department of e-Business, Faculty of Business, Economics and Statistics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria
Interests: digital business; digital services; mathematical methods for service analytics; math models for service systems engineering
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The role of business electronization is constantly expanding in the modern digital world. Electronic technologies like virtualization and cloud computing change ways of doing business and provide innovative value-creating prospects. Manufacturers are transforming into electronic service providers. For companies, electronization means global reach, multi-channel customer interaction, cost-saving, and being ahead of competitors. Besides, electronic solutions can make more efficient security and intelligence systems, and economy and infrastructure.

This Special Issue will explore challenges, as well as innovative tendencies and developments in the electronization of businesses, contributing to the community with different views and solutions of this paradigm.

  1. Electronic service systems
  2. Electronic services
  3. Electronic business
  4. Robotization of enterprises
  5. Cloud computing
  6. Real-time systems engineering
  7. Mathematical models for electronic systems
  8. Mathematical models for electronic services analytics

Prof. Dr. Natalia Kryvinska
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Electronic service systems
  • Electronic services
  • Electronic business
  • Robotization of enterprises
  • Cloud computing
  • Real-time systems engineering
  • Mathematical models for electronic systems
  • Mathematical models for electronic services analytics

Published Papers (7 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
The Sentiment Analysis Model of Services Providers’ Feedback
Electronics 2020, 9(11), 1922; https://doi.org/10.3390/electronics9111922 - 16 Nov 2020
Abstract
The purpose of this paper is to develop a hybrid model Ukrainian language sentiment analyzer, which should improve the accuracy of the mood definition to expand the Ukrainian language among the instruments on the market. The object of research is the processes of [...] Read more.
The purpose of this paper is to develop a hybrid model Ukrainian language sentiment analyzer, which should improve the accuracy of the mood definition to expand the Ukrainian language among the instruments on the market. The object of research is the processes of determining the language of the text and predicting its sentiment score. The subject of the study is Ukrainian comments posted by Google Maps users. The following text categories are taken into account: food, hotels, museums, and shops. The new method was built as an ensemble of support vector machine, logistic regression, and XGBoost, in combination with a rule-based algorithm. The practical use of the algorithm makes it possible to analyze the Ukrainian text in accordance with the category with the visualization of the research results. The accuracy of the proposed method is bigger than 0.88 in the worst case. The mining procedure of the positive and negative sides of service providers based on users’ feedback is developed. It allows electronics business to make improvements based on frequent positive and negative words. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessArticle
Are Future Professionals Willing to Implement Service Robots? Attitudes of Hospitality and Tourism Students towards Service Robotization
Electronics 2020, 9(9), 1442; https://doi.org/10.3390/electronics9091442 - 04 Sep 2020
Abstract
This paper aims to examine attitudes of hospitality and tourism students, as future professionals, towards willingness to implement service robots. The study proposes a new theoretical conceptual model that includes new constructs and items, differentiating it from the others. The model was formed [...] Read more.
This paper aims to examine attitudes of hospitality and tourism students, as future professionals, towards willingness to implement service robots. The study proposes a new theoretical conceptual model that includes new constructs and items, differentiating it from the others. The model was formed based on the extensive literature review and the interview with an eight-member focus group (hotel managers and academic researchers). Data collection was performed in two stages, pilot research based on 82 respondents and the main study, with the final number of respondents being 236. The initial results of the exploratory factor analysis were further tested using the confirmatory factor analysis. After the exclusion of several items due to low factor loadings and in order to improve model validity, analyses further suggested a nine-dimensional solution with 45 items. The study findings reveal a positive relationship between seven constructs and students’ willingness to implement service robots, with the expected business outcome being the most influencing one. On the other hand, positive relation was not found for empathy and social influence constructs. Theoretical contributions and practical implications are discussed in the paper. In conclusion, study limitations and future research suggestions are provided. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessArticle
Software-Based Approach towards Automated Authorship Acknowledgement—Chi-Square Test on One Consonant Group
Electronics 2020, 9(7), 1138; https://doi.org/10.3390/electronics9071138 - 13 Jul 2020
Cited by 1
Abstract
A one-consonant group approach to the authorship attribution has been proposed. The approach is based on determining, by the chi-square test, the consonant group in which the difference between the texts by different authors is statistically significant. The developed model determines author-differentiating capability [...] Read more.
A one-consonant group approach to the authorship attribution has been proposed. The approach is based on determining, by the chi-square test, the consonant group in which the difference between the texts by different authors is statistically significant. The developed model determines author-differentiating capability of each consonant group in a relation of the number of comparisons, in which the difference between the texts by two authors is statistically significant to the total number of comparisons. The determined general author-differentiating capability of the group of stop consonants, which is a statistical parameter of the authorial style, is the highest in the comparisons of texts from the publicist and belles-lettres styles. The one-consonant group approach simplifies the whole process of authorship attribution and ensures a higher level of automation. The conducted experiments on the Java programming language have proved that the chi-square test is a powerful nonparametric statistical test that can be used for author identification on the level of English consonants with a test validity of 95%. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessFeature PaperArticle
Constructing of Digital Watermark Based on Generalized Fourier Transform
Electronics 2020, 9(7), 1108; https://doi.org/10.3390/electronics9071108 - 08 Jul 2020
Cited by 1
Abstract
We develop in this paper a method for constructing a digital watermark to protect one-dimensional and two-dimensional signals. The creation of a digital watermark is based on the one-dimensional and two-dimensional generalized Fourier and Hartley transformations and the Ateb-functions as a generalization of [...] Read more.
We develop in this paper a method for constructing a digital watermark to protect one-dimensional and two-dimensional signals. The creation of a digital watermark is based on the one-dimensional and two-dimensional generalized Fourier and Hartley transformations and the Ateb-functions as a generalization of trigonometric functions. The embedding of the digital watermark is realized in the frequency domain. The simulation of attacks on protected files is carried out to confirm the stability of the proposed method. Experiments proved the high stability of the developed method conformably to the main types of attacks. An additional built-in digital watermark can be used to identify protected files. The proposed method can be used to support the security of a variety of signals—audio, images, electronic files etc.—to protect them from unauthorized access and as well for identification. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessEditor’s ChoiceArticle
Real-Time High-Load Infrastructure Transaction Status Output Prediction Using Operational Intelligence and Big Data Technologies
Electronics 2020, 9(4), 668; https://doi.org/10.3390/electronics9040668 - 20 Apr 2020
Cited by 13
Abstract
An approach to use Operational Intelligence with mathematical modeling and Machine Learning to solve industrial technology projects problems are very crucial for today’s IT (information technology) processes and operations, taking into account the exponential growth of information and the growing trend of Big [...] Read more.
An approach to use Operational Intelligence with mathematical modeling and Machine Learning to solve industrial technology projects problems are very crucial for today’s IT (information technology) processes and operations, taking into account the exponential growth of information and the growing trend of Big Data-based projects. Monitoring and managing high-load data projects require new approaches to infrastructure, risk management, and data-driven decision support. Key difficulties that might arise when performing IT Operations are high error rates, unplanned downtimes, poor infrastructure KPIs and metrics. The methods used in the study include machine learning models, data preprocessing, missing data imputation, SRE (site reliability engineering) indicators computation, quantitative research, and a qualitative study of data project demands. A requirements analysis for the implementation of an Operational Intelligence solution with Machine learning capabilities has been conducted and represented in the study. A model based on machine learning algorithms for transaction status code and output predictions, in order to execute system load testing, risks identification and, to avoid downtimes, is developed. Metrics and indicators for determining infrastructure load are given in the paper to obtain Operational intelligence and Site reliability insights. It turned out that data mining among the set of Operational Big Data simplifies the task of getting an understanding of what is happening with requests within the data acquisition pipeline and helps identify errors before a user faces them. Transaction tracing in a distributed environment has been enhanced using machine learning and mathematical modelling. Additionally, a step-by-step algorithm for applying the application monitoring solution in a data-based project, especially when it is dealing with Big Data is described and proposed within the study. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessArticle
An Approach towards the Protection for Printed Documents by Means of Latent Elements with Fractal Grids and Electronic Determination of Its Authenticity
Electronics 2020, 9(4), 667; https://doi.org/10.3390/electronics9040667 - 20 Apr 2020
Abstract
An electronic method of protection for printed documents based on which latent elements are formed in a printed way has been developed. The development of security features has been done electronically. Protection using latent elements has been improved by overlapping fractal grids, which [...] Read more.
An electronic method of protection for printed documents based on which latent elements are formed in a printed way has been developed. The development of security features has been done electronically. Protection using latent elements has been improved by overlapping fractal grids, which allows creation of graphics traps. The printing of designed security elements has been investigated on 15 paper samples. The security elements were printed on an offset printing machine. Prints were copied and compared with originals using the electronic method of pixel-by-pixel comparison based on a peak signal-to-noise ratio (PSNR). The comparison results between originals and their copies are presented in this paper. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Open AccessArticle
An Express Algorithm for Transient Electromagnetic Data Interpretation
Electronics 2020, 9(2), 354; https://doi.org/10.3390/electronics9020354 - 20 Feb 2020
Cited by 1
Abstract
The transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The means for an express [...] Read more.
The transient electromagnetic (TEM) method is a time-domain, controlled source, electromagnetic (EM) geophysical technique which is often applied to image the subsurface conductivity distributions of shallow layers due to its effectiveness and adaptability to complex site working conditions. The means for an express analysis of such experimental data in several practical cases have advantages and are suitable for use. We developed our approach for determining the approximate one-dimensional (1D) model of background conductivity based on the formal transformation of the TEM experimental data and the mathematical analysis of continuous functions. Our algorithm, which allows the 1D model’s parameters to be obtained in terms of a layer’s thickness and resistivity, widely utilizes the numerical differentiation of experimental curves as well as of transformed ones. Since the noise level increases with time in the attenuating TEM signals and differentiation even enhances it, special procedures are required to calculate the derivative values. We applied the piecewise cubic spline approximation to solve this problem. In that case, the derivatives are obtained using polynomial coefficients which are available for each node. The application of the created facilities is demonstrated using real experimental data of the TEM soundings. Full article
(This article belongs to the Special Issue Electronization of Businesses - Systems Engineering and Analytics)
Show Figures

Figure 1

Back to TopTop