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Joanna Górka
(Joanna Gorka)

Personal Details

First Name:Joanna
Middle Name:
Last Name:Gorka
Suffix:
RePEc Short-ID:pgo445

Affiliation

Wydział Nauk Ekonomicznych i Zarządzania
Uniwersytet Mikolaja Kopernika w Toruniu

Toruń, Poland
http://www.econ.uni.torun.pl/
RePEc:edi:wntorpl (more details at EDIRC)

Research output

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Jump to: Articles Chapters

Articles

  1. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.
  2. Aldona Glińska-Neweś & Joanna Górka, 2020. "Capabilities of Corporate Volunteering in Strengthening Social Capital," Sustainability, MDPI, vol. 12(18), pages 1-11, September.
  3. Joanna Górka, 2014. "Option Pricing under Sign RCA-GARCH Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 145-160.
  4. Joanna Górka, 2012. "The Formula of Unconditional Kurtosis of Sign-Switching GARCH(p,q,1) Processes," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 105-110.
  5. Joanna Górka, 2010. "The Sign RCA Models: Comparing Predictive Accuracy of VaR Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 61-80.
  6. Joanna Górka, 2009. "Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 39-50.
  7. Joanna Gorka, 2009. "Forecast properties of family rca models," Acta Universitatis Nicolai Copernici, Ekonomia, Uniwersytet Mikolaja Kopernika, vol. 40, pages 75-86.
  8. Joanna Górka, 2008. "Description of the Kurtosis of Distributions by Selected Models with Sign Function," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 119-128.
  9. Magdalena Osinska & Joanna Górka, 2006. "Identification of Non-linearity in Economic Time Series," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 83-92.
  10. Joanna Górka & Joanna Stempinska, 2004. "Heteroskedastic Cointegration," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 213-220.

Chapters

  1. Waldemar Glabiszewski & Agata Sudolska & Joanna Górka & Angelika Pańka, 2020. "Financial Services Companies’ Abilities to Collaborative Technology Absorption Versus Their Innovativeness," Springer Proceedings in Business and Economics, in: Agnieszka Zakrzewska-Bielawska & Iwona Staniec (ed.), Contemporary Challenges in Cooperation and Coopetition in the Age of Industry 4.0, chapter 0, pages 225-241, Springer.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.

    Cited by:

    1. Song, Yuegang & Wang, Ziqi & Song, Changqing & Wang, Jianhua & Liu, Rong, 2024. "Impact of artificial intelligence on renewable energy supply chain vulnerability: Evidence from 61 countries," Energy Economics, Elsevier, vol. 131(C).
    2. Kądzielawski Grzegorz, 2023. "The state of development of artificial intelligence in polish industry: opinions of employees," International Journal of Contemporary Management, Sciendo, vol. 59(1), pages 12-25, March.
    3. Rongbin Yang & Santoso Wibowo, 2022. "User trust in artificial intelligence: A comprehensive conceptual framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2053-2077, December.

Chapters

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