Repository logo
 
Publication

Identifiying impression management strategies using artificial intelligence: a research applied to the banking sector in Portugal

2022-12Journal article Open access
Simple item page
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorAlbuquerque, Fábio
dc.contributor.authorStoltzemburg, Vinícius
dc.contributor.authorCariano, António
dc.date.accessioned2025-04-10T11:11:31Z
dc.date.available2025-04-10T11:11:31Z
dc.date.issued2022-12
dc.description.abstractThis paper aims to evaluate the eventual usage of impression management strategies by the Portuguese banking sector, particularly if the message tone used by the board is potentially influenced by macroeconomic, corporate governance and economic-financial factors. Data were obtained from the annual reports, complemented with additional financial information provided by the Portuguese Banking Association. The population consists of 58 messages from the management board obtained for 11 banks that operated in Portugal between 2009 and 2017. The information was collected using artificial intelligence tools. The findings are consistent with the identification of thematic manipulation strategies. The results confirm that the tone used by the Portuguese financial sector entities is in line with the macroeconomic evolution, as well as confirm that the corporate governance structure plays a big influence on the management discourse. In contrast, entities with a stronger level of corporate governance showed a less positive tone. Lastly, entities with higher liquidity and impaired assets tend to have a more positive tone. This study brings an innovative perspective regarding the methodology adopted, being pioneered in the application of technology under impression management studies in Portugal. Thus, future analyses may use these tools to mitigate errors and subjectivity.eng
dc.description.sponsorshipThis work was supported by the ISCAL - Instituto Politécnico de Lisboa, and it was developed in the context of the project IPL/2022/REPUKRAINE _ISCAL.
dc.identifier.citationAlbuquerque, F., Stoltzemburg, V., & Cariano, A. (2022). Identifying impression management strategies using artificial intelligence: A research applied to the banking sector in Portugal. Polish Journal of Management Studies, 26 (1), 7-25. https://doi.org/ 10.17512/pjms.2022.26.1.01
dc.identifier.doi10.17512/pjms.2022.26.1.01
dc.identifier.issn2081-7452
dc.identifier.issn2081-7452
dc.identifier.urihttp://hdl.handle.net/10400.21/21800
dc.language.isoeng
dc.peerreviewedyes
dc.publisherCzestochowa University of Technology
dc.relationIPL/2022/REPUKRAINE _ISCAL
dc.relation.ispartofPolish Journal of Management Studies
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectArtificial intelligence
dc.subjectBanking sector
dc.subjectImpression management
dc.subjectLetters to shareholders
dc.subjectThematic manipulation
dc.subjectIPL/2022/REPUKRAINE _ISCAL
dc.titleIdentifiying impression management strategies using artificial intelligence: a research applied to the banking sector in Portugaleng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.titlePolish Journal of Management Studies
oaire.citation.volume26
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAlbuquerque
person.familyNameStoltzemburg
person.familyNameCariano
person.givenNameFábio
person.givenNameVinícius
person.givenNameAntónio
person.identifier2083208
person.identifier.ciencia-id321C-4345-98A2
person.identifier.orcid0000-0001-8877-9634
person.identifier.orcid0000-0002-8656-4311
person.identifier.orcid0000-0003-2469-4126
person.identifier.scopus-author-id57192316632
relation.isAuthorOfPublication26fb9500-7aa0-4e26-85d0-9dac4a581202
relation.isAuthorOfPublication2adab04d-f746-4554-9736-27ddc5359474
relation.isAuthorOfPublication468f1109-0ef8-4298-986e-49ad51f862e3
relation.isAuthorOfPublication.latestForDiscovery26fb9500-7aa0-4e26-85d0-9dac4a581202

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Identifying impression management strategies using artificial intelligence...rtugal.pdf
Size:
498.86 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
7.68 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ISCAL - Artigos