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Information
Special Issues
Digital Transformation in Economy, Business, Society and Technology
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Digital Transformation in Economy, Business, Society and Technology

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Systems".

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 24829

Special Issue Editors

Dr. Antonin Pavlicek

E-Mail Website
Guest Editor
Faculty of Informatics and Statistics, University of Economics, Prague, Czech Republic
Interests: social media; information management; information security
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Petr Doucek

E-Mail Website
Guest Editor
Faculty of Informatics and Statistics, University of Economics, Prague, Czech Republic
Interests: information management; cyber security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Digital transformation is the profound transformation of business and organizational activities, processes, competencies, and models to fully harness the opportunities of modern information and communication technologies. Digital transformation is not just about modern information technologies, but it is also about the related challenges, such as process reengineering, changed roles, responsibilities, and functions. It covers a wide range of changes, from digitization of information (the analog–digital conversion), to digitalization of industries and organizations (the process), and digital transformation of societies (the effect) that are collectively accelerating the global and societal transformation process.

Our Special Issue, therefore, will discuss digital transformation as a current challenge of information management.

This Special Issue invites papers covering a wide range of topics, ranging from process transformation to aspects of digitalization for the society.

We will accept papers for peer review in the following areas:

  • Digital Economy and Industry 4.0
  • Innovation, New Business Models, and Strategies
  • Digital Transformation in Crisis Management
  • Social Media and On-line Privacy
  • e-Health et al.: Trends in digital health and personalized health care
  • Digital Single Market Innovation
  • Cyber Security in a Digital World
  • Performance Management
  • Society Beyond Industry 4.0: Smart Systems as Enablers for Society 5.0
  • Innovative Models of IT Systems Delivery

We accept both research papers and case studies based on a robust and strict methodology with a substantial proportion of original (not published elsewhere) content.

Dr. Antonin Pavlicek
Prof. Dr. Petr Doucek
Guest Editors

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 submissions that pass pre-check are 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. Information 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 1600 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

  • information management
  • digital economy and innovations
  • crisis management
  • social media
  • e-health
  • cyber security
  • smart systems—intelligence, autonomy, technology, and society

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

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Research

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11 pages, 230 KiB  
Article
Virtual Offenses: Role of Demographic Factors and Personality Traits
by Frantisek Sudzina and Antonin Pavlicek
Information 2020, 11(4), 188; https://doi.org/10.3390/info11040188 - 31 Mar 2020
Cited by 5 | Viewed by 3794
Abstract
A number of positive and negative trends are becoming more prevalent, along with the widespread use of information and communication technologies in everyday life—negative ones being virtual offences such as stalking, bullying, identity theft, scamming and abuse or harassment. The article discusses the [...] Read more.
A number of positive and negative trends are becoming more prevalent, along with the widespread use of information and communication technologies in everyday life—negative ones being virtual offences such as stalking, bullying, identity theft, scamming and abuse or harassment. The article discusses the relations between demographic factors, the occurrence of virtual offenses and personality traits. The next Big Five Inventory (BFI-2) was used for assessment of personality traits. As for the findings, more extraversion, less agreeableness, more negative emotionality, less consciousness and being a man have been found to be associated with at least one of the investigated types of virtual offenses. Full article
(This article belongs to the Special Issue Digital Transformation in Economy, Business, Society and Technology)
11 pages, 888 KiB  
Article
Organizational Culture as an Indication of Readiness to Implement Industry 4.0
by Majid Ziaei Nafchi and Hana Mohelská
Information 2020, 11(3), 174; https://doi.org/10.3390/info11030174 - 24 Mar 2020
Cited by 38 | Viewed by 7160
Abstract
Industry 4.0 has managed to attract lots of attention from researchers because of the benefits it has to offer and many studies about Industry 4.0, as well as readiness and maturity models, are available from the technological point of view. Meanwhile, the organizational [...] Read more.
Industry 4.0 has managed to attract lots of attention from researchers because of the benefits it has to offer and many studies about Industry 4.0, as well as readiness and maturity models, are available from the technological point of view. Meanwhile, the organizational culture dimension of Industry 4.0 has received little to no attention. The aim of this paper is to find out whether or not the size and type of an organization influence the innovative culture and consequently the readiness of the organization for implementing industry 4.0. Results show that the innovative organizational culture according to the index of organizational culture does not depend on the size of an organization but to some degree depends on the type of the organization. Full article
(This article belongs to the Special Issue Digital Transformation in Economy, Business, Society and Technology)
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13 pages, 2823 KiB  
Article
System Potential Estimation with Regard to Digitalization: Main Ideas and Estimation Example
by Alexander Geyda and Igor Lysenko
Information 2020, 11(3), 164; https://doi.org/10.3390/info11030164 - 20 Mar 2020
Cited by 6 | Viewed by 2718
Abstract
The article outlines the main concept and examples of mathematical models needed to estimate system potential and digitalization performance indicators. Such an estimation differs in that it is performed with predictive mathematical models. The purpose of such an estimation is to enable a [...] Read more.
The article outlines the main concept and examples of mathematical models needed to estimate system potential and digitalization performance indicators. Such an estimation differs in that it is performed with predictive mathematical models. The purpose of such an estimation is to enable a set of problems of system design and functional design of information technologies to be solved as mathematical problems, predictively and analytically. The hypothesis of the research is that the quality of system functioning in changing conditions can be evaluated analytically, based on predictive mathematical models. We suggested a property of the system potential (or system capability) that describes the effects of the compliance of changing system functioning with changing conditions analytically and predictively. Thus, it describes the performance of the use of information operations to realize functioning in changing conditions. The example includes system’s environment graph-theoretic models and system’s models regarding IT use to react to changing environments. As a result of the suggested models and methods, the quantitative estimation of system potential regarding information technology use becomes possible depending on the parameters and variables of the problems to be solved. Use cases of problems decision with the use of such indicators include choosing optimal information technology implementation and the synthesis of information operation characteristics. Full article
(This article belongs to the Special Issue Digital Transformation in Economy, Business, Society and Technology)
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20 pages, 1377 KiB  
Article
Comparison of the Results of a Data Envelopment Analysis Model and Logit Model in Assessing Business Financial Health
by Jarmila Horváthová and Martina Mokrišová
Information 2020, 11(3), 160; https://doi.org/10.3390/info11030160 - 17 Mar 2020
Cited by 9 | Viewed by 4866
Abstract
This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industries in Slovakia and abroad. The aim of [...] Read more.
This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industries in Slovakia and abroad. The aim of this paper was to formulate a data envelopment analysis (DEA) model and to verify the estimation accuracy of this model in comparison with the logit model. The research was carried out on a sample of companies operating in the field of heat supply in Slovakia. For this sample of businesses, we selected appropriate financial indicators as determinants of bankruptcy. The indicators were selected using related empirical studies, a univariate logit model, and a correlation matrix. In this paper, we applied two main models: the BCC DEA model, processed in DEAFrontier software; and the logit model, processed in Statistica software. We compared the estimation accuracy of the constructed models using error type I and error type II. The main conclusion of the paper is that the DEA method is a suitable alternative in assessing the financial health of businesses from the analyzed sample. In contrast to the logit model, the results of this method are independent of any assumptions. Full article
(This article belongs to the Special Issue Digital Transformation in Economy, Business, Society and Technology)
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15 pages, 556 KiB  
Review
Circular Economy for Clothes Using Web and Mobile Technologies—A Systematic Review and a Taxonomy Proposal
by Rui Faria, Inês Lopes, Ivan Miguel Pires, Gonçalo Marques, Solange Fernandes, Nuno M. Garcia, José Lucas, Aleksandar Jevremović, Eftim Zdravevski and Vladimir Trajkovik
Information 2020, 11(3), 161; https://doi.org/10.3390/info11030161 - 17 Mar 2020
Cited by 13 | Viewed by 5090
Abstract
Nowadays, it is possible to buy clothing using online platforms, either by accessing online brand stores, general online stores or circular economy platforms. This paper presents a study on mobile applications that support online commerce for clothing, focusing on the review of the [...] Read more.
Nowadays, it is possible to buy clothing using online platforms, either by accessing online brand stores, general online stores or circular economy platforms. This paper presents a study on mobile applications that support online commerce for clothing, focusing on the review of the mobile applications with features that are characteristic of the circular economy paradigm. Findings include the fact that almost all the mobile applications analysed have pictures illustrative of the clothes and accessories that are available for trading as well as their brief description. Furthermore, this paper presents a study of various scientific articles about the circular economy of clothes and how it can be beneficial to the future of the environment. It is a junction with a Web platform for its growth and its disclosure. The paper builds conclusions upon the assumption that the circular economy is a growing business that is part of a sustainable development where the main goal is to reduce the environmental impact. The paper proposes the analysis of an innovative taxonomy of mobile applications about the circular economy. Full article
(This article belongs to the Special Issue Digital Transformation in Economy, Business, Society and Technology)
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