Meno a priezvisko:
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Mgr. Lenka Papíková, PhD.
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Typ dokumentu:
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Vedecko/umelecko-pedagogická charakteristika osoby
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Názov vysokej školy:
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Univerzita Komenského v Bratislave
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Sídlo vysokej školy:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Zamestnanie-pracovné zaradenie | III.b - Inštitúcia | III.c - Časové vymedzenie |
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Odborný asistent – 100% | Fakulta managementu Univerzity Komenského | September 2020 - súčasnosť |
Odborný asistent – 90% | Fakulta managementu Univerzity Komenského – 90% | 15.2.2020 – 30.6.2020 |
Odborný asistent – 50% | Fakulta managementu, Univerzity Komenského v Bratislave | 23.9.2019 – 14.2.2020 |
Zamestnanec vykonávajúci činnosti VŠ učiteľa mimo prac. pomeru | Fakulta managementu, Univerzity Komenského v Bratislave | 1.3.2019 – 30.6.2020 |
Senior Finančný Analytik | IBM Corporation | 2014 - 2023 |
IV.a - Popis aktivity, názov kurzu (ak išlo o kurz), iné | IV.b - Názov inštitúcie | IV.c - Rok |
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Štátna jazyková skúška z AJ, úroveň C1 | Štátna jazyková škola Palisády | 2011 |
Trusted Business Advisor | IBM Corporation | 2017 |
Lean Six Sigma, green belt | IBM Corporation | 2018 |
Agile Design Workshop | IBM Corporation | 2019 |
V.1.a - Názov profilového predmetu | V.1.b - Študijný program | V.1.c - Stupeň | V.1.d - Študijný odbor |
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Principles of Financial Accounting I | Všetky študijné programy | Bakalárskeho stupňa štúdia | Ekonómia a manažment s anglickým jazykom poskytovania |
Principles of Financial Accounting II | Všetky študijné programy | Bakalárskeho stupňa štúdia | Ekonómia a manažment s anglickým jazykom poskytovania |
Finančné účtovníctvo | Manažment | Magisterský stupeň štúdia | Ekonómia a manažment |
Manažérske účtovníctvo | Manažment | Magisterský stupeň štúdia | Ekonómia a manažment |
Daňovníctvo | Všetky študijné programy | Bakalárskeho stupňa štúdia | Ekonómia a manažment s anglickým jazykom poskytovania |
Medzinárodné štandardy finančného výkazníctva | Všetky študijné programy | Bc. | Ekonómia a manažment s anglickým jazykom poskytovania |
Finančné účtovníctvo a dane | Všetky študijné programy | Mgr. | Ekonómia a manažment |
V.5.a - Názov predmetu | V.5.b - Študijný program | V.5.c - Stupeň | V.5.d - Študijný odbor |
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International Financial Reporting Standards | Všetky študijné programy | Bakalárskeho stupňa štúdia | Ekonómia a manažment s anglickým jazykom poskytovania |
• Papík, M., Papíková, L. (2022): Detecting accounting fraud in companies reporting under US GAAP through data mining. International Journal of Accounting Information Systems, Vol. 45, p. 1-19, art. no. 100559 [online]. - ISSN (online) 1873-4723 Indexované v: WOS (current content) JCR Q1, IF 2021 = 5,111 SCOPUS, Q1, SNIP 2021 = 1,516
• Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v: WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985
• Papíková, L., Papík, M. (2023): Gender diversity of board of directors and shareholders: Machine learning exploration during COVID-19, Gender in Management, Vol. ahead-of-print No. ahead-of-print. Indexované v: WOS (current content) JCR Q1, IF 2022 = 3,7, SCOPUS, Q1, SNIP 2022 = 1,458
• Papíková, L., Papík, M. (2023): Application of intellectual capital in SME bankruptcy, Applied Economics, Vol. ahead-of-print No. ahead-of-print. Indexované v: WOS (current content) JCR Q2, IF 2022 = 2,2 SCOPUS, Q2, SNIP 2022 = 1,089
• Papíková, L., Papík, M. (2022): Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises. Intelligent Systems in Accounting, Finance and Management, Vol. 29 (4), pp. 254-281 [online]. - ISSN (print) 1550-1949 Indexované v: WOS SCOPUS, Q1, SNIP 2021 = 1,870
• Papík, M., Papíková, L. (2022): Detecting accounting fraud in companies reporting under US GAAP through data mining. International Journal of Accounting Information Systems, Vol. 45, p. 1-19, art. no. 100559 [online]. - ISSN (online) 1873-4723 Indexované v: WOS (current content) JCR Q1, IF 2021 = 5,111 SCOPUS, Q1, SNIP 2021 = 1,516
• Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v: WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985
• Papíková, L., Papík, M. (2023): Gender diversity of board of directors and shareholders: Machine learning exploration during COVID-19, Gender in Management, Vol. ahead-of-print No. ahead-of-print. Indexované v: WOS (current content) JCR Q1, IF 2022 = 3,7, SCOPUS, Q1, SNIP 2022 = 1,458
• Papíková, L., Papík, M. (2023): Application of intellectual capital in SME bankruptcy, Applied Economics, Vol. ahead-of-print No. ahead-of-print. Indexované v: WOS (current content) JCR Q2, IF 2022 = 2,2 SCOPUS, Q2, SNIP 2022 = 1,089
• Papíková, L., Papík, M. (2022): Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises. Intelligent Systems in Accounting, Finance and Management, Vol. 29 (4), pp. 254-281 [online]. - ISSN (print) 1550-1949 Indexované v: WOS SCOPUS, Q1, SNIP 2021 = 1,870
V3. Papíková, L., Papík, M. (2023): Gender diversity of board of directors and shareholders: Machine learning exploration during COVID-19, Gender in Management, Vol. ahead-of-print No. ahead-of-print. Indexované v: WOS (current content) JCR Q1, IF 2022 = 3,7, SCOPUS, Q1, SNIP 2022 = 1,458
[n1] Melia-Marti, E., Tormo-Carbo, G., & Fernandez-Guadano, J.: Board gender diversity and employee productivity. The moderating role of female leaders. In: European Research on Management and Business Economics. 2024, roč. 30, č. 3, s. 1-9 doi:10.1016/j.iedeen.2024.100257. Indexované: Scopus, WoS, Current Content Connect
V3. Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v: WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985
[n1] Gao, X.: Digital transformation in finance and its role in promoting financial transparency. DOI 10.1016/j.gfj.2023.100903 In: Global finance journal. 2023, roč. 58, s. 1-9. doi:10.1016/j.gfj.2023.100903. Indexované: Scopus, WoS, Current Content Connect
V3. Papík, M., Papíková, L. (2022): Detecting accounting fraud in companies reporting under US GAAP through data mining. International Journal of Accounting Information Systems, Vol. 45, p. 1-19, art. no. 100559 [online]. - ISSN (online) 1873-4723 Indexované v: WOS (current content) JCR Q1, IF 2021 = 5,111 SCOPUS, Q1, SNIP 2021 = 1,516
[n1] Ludivia H., Molano, L.X.B., Gutierrez-Portela, F., Hernandez, J.J.M. & Barrero, M.S.R.: Financial fraud detection through the application of machine learning techniques: a literature review. In: Humanities & social sciences communications, 2024, roč. 11, č. 1, s. 1-22. doi:10.1057/s41599-024-03606-0. Indexované: Scopus, WoS, Current Content Connect
V3. Papíková, L., Papík, M. (2022): Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium-sized enterprises. Intelligent Systems in Accounting, Finance and Management, Vol. 29 (4), pp. 254-281 [online]. - ISSN (print) 1550-1949 Indexované v: WOS SCOPUS, Q1, SNIP 2021 = 1,870
[n1] Dasilas, A., & Rigani, A.: Machine learning techniques in bankruptcy prediction. In: Expert Systems with Applications, 2024, roč. 255, s. 1-22. doi:10.1016/j.eswa.2024.124761. Indexované: Scopus, WoS, Current Content Connect
V3. Papík, M., Papíková, L. (2023): Impacts of crisis on SME bankruptcy prediction models performance. Expert Systems with Applications, Vol. 214, p. 1-17, art. no. 119072 [print]. - ISSN (print) 0957-4174 Indexované v: WOS (current content) JCR Q1, IF 2021 = 8,665 SCOPUS, Q1, SNIP 2021 = 2,985
[n1] Mattos, E.S., & Shasha, D.: Bankruptcy prediction with low-quality financial information. In: Expert Systems with Applications, 2024, roč. 237, s. 1-13. doi:10.1016/j.eswa.2023.121418. Indexované: Scopus, WoS, Current Content Connect
VEGA 1/0361/24 Aplikácia automatizovaného strojového učenia pri analýze finančného zdravia podnikov – zástupca hlavného riešiteľa
VIII.a - Názov inštitúcie | VIII.b - Sídlo inštitúcie | VIII.c - Obdobie trvania pôsobenia/pobytu (uviesť dátum odkedy dokedy trval pobyt) | VIII.d - Mobilitná schéma, pracovný kontrakt, iné (popísať) |
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Mendelova Univerzita v Brne | Brno | 16.10-20.10.2023 | STA mobilita |
University of Trieste | Trieste, IT | 20.11-24.11.2023 | STA mobilita |
Juraj Dobrila University in Pula | Pula, Chorvátsko | 27.-31.5.2024 | STA mobilita |
University of Rijeka | Rijeka, Chorvátsko | 21.10-25.10.2024 | STA mobilita |
Juraj Dobrila University in Pula | Pula, Chorvátsko | 19.-23.5.2024 | STA mobilita |