Oeconomia Copernicana

Aims & Scope

Oeconomia Copernicana is a journal devoted to contemporary economics, finance and management.

The initiative is the result of close cooperation between Instytut Badań Gospodarczych/Institute of Economic Research (Poland), Polish Economic Society Branch in Toruń and leading European universities.

The journal is addressed to international community.

Therefore, the submitted articles must provide valuable contribution and discussion on the given research from the international perspective.

Additionally, the articles should provide high integrative value in Web of Science and Scopus-indexed publications.

Finally, we welcome empirical articles (preferable with application of quantitative methods) written in: Sustainable socio-economic development, environmental and ecological economics, natural resource economics Business administration and business economics; marketing; accounting; personnel economics Industrial organization Financial economics Microeconomics Health, education, and welfare Regional, real estate, and transportation economics Economic history, history of economic thought, economic systems, methodology, and heterodox approaches, law and economics

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Arts and Humanities, Business, Management and Accounting, Economics, Econometrics and Finance and Social Sciences, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Arts and Humanities, Business, Management and Accounting, Economics, Econometrics and Finance and Social Sciences, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 950.00 PLN. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries

  Citation: 121

  Authors: Maria, Tomas, Katarina, Pavol, Zuzana

• Does the life cycle affect earnings management and bankruptcy?

  Citation: 112

  Authors: Pavol, Lucia, Andrej, Josef, Milos

• Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things

  Citation: 111

  Authors: Tomas, Elvira, Pavol, Gheorghe H.

• The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

  Citation: 100

  Authors: Romana Emilia, Monica Ioana, Dan Cristian

• Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing

  Citation: 97

  Authors: George, Armenia, Iulia, Gheorghe, Octav

• Management of financial risks in Slovak enterprises using regression analysis

  Citation: 92

  Authors: Katarina, Tomas, Maria

• Artificial intelligence algorithms and cloud computing technologies in blockchain-based fintech management

  Citation: 90

  Authors: George, Mădălina, Marinela, Lăcrămioara, Luminița, Roxana

• Enterprise digital transformation and debt financing cost in China?s A-share listed companies

  Citation: 89

  Authors: Changling, Zixi, Marek, Iveta

• Neuromanagement decision-making and cognitive algorithmic processes in the technological adoption of mobile commerce apps

  Citation: 85

  Authors: Mihai, George, Roxana, Luminița, Mădălina

• Advanced methods of earnings management: monotonic trends and change-points under spotlight in the Visegrad countries

  Citation: 82

  Authors: Tomas, Katarina, Elvira, Maria, George