Special Issue "Big Data Analytics in Bankruptcy Prediction"

A special issue of Data (ISSN 2306-5729). This special issue belongs to the section "Information Systems and Data Management".

Deadline for manuscript submissions: closed (30 October 2021).

Special Issue Editors

Dr. Zdeněk Caha
E-Mail Website
Guest Editor
Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
Interests: business ethics; human resource management; Industry 4.0; entrepreneurial competencies
Dr. Marek Vochozka
E-Mail Website
Guest Editor
Institute of Technology and Business in České Budějovice, 370 01 České Budějovice, Czech Republic
Interests: corporate finance; business failure; timeseries; artificial neural networks

Special Issue Information

Dear Colleagues,

We would like to offer a valuable and potential topic related to corporate finance and big data analytics. We think that the topic in itself is very wide and can be understood in connection with company valuation, various aspects of corporate finance (working capital management, long-term asset management, capital structure optimization, cost management, liquidity management, financial analysis, financial planning, securities valuation, etc.). It is our belief that there are many fields that can be included in scientific and expert discussion. We hope that the topic of “Big Data Analytics in Bankruptcy Prediction” in the Data journal is the right platform to meet other researchers and experts interested in your topic.

We look forward to your contributions.

Dr. Zdeněk Caha
Dr. Marek Vochozka
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 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. Data 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 1400 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

  • bankruptcy
  • working capital management
  • long-term asset management
  • capital structure optimization
  • cost management
  • liquidity management
  • financial analysis
  • financial planning
  • securities’ valuation

Published Papers (1 paper)

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Research

Article
Neglected Theories of Business Cycle—Alternative Ways of Explaining Economic Fluctuations
Data 2021, 6(11), 109; https://doi.org/10.3390/data6110109 - 20 Oct 2021
Cited by 2 | Viewed by 496
Abstract
The business cycle is a frequent topic in economic research; however, the approach based on individual strategies often remains neglected. The aspiration of this study is to prove that the behavior of individuals can originate and fuel an economic cycle. For this purpose, [...] Read more.
The business cycle is a frequent topic in economic research; however, the approach based on individual strategies often remains neglected. The aspiration of this study is to prove that the behavior of individuals can originate and fuel an economic cycle. For this purpose, we are using an algorithm based on a repeated dove–hawk game. The results reveal that the sum of output in a society is affected by the ratio of individual strategies. Cyclical changes in this ratio will be translated into fluctuations of the total product of society. We present game theory modelling of a strategic behavioral approach as a valid theoretical foundation for explaining economic fluctuations. This article offers an unusual insight into the business cycle’s causes and growth theories. Full article
(This article belongs to the Special Issue Big Data Analytics in Bankruptcy Prediction)
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