dr Anna Baj-Rogowska
Employment
- Assistant professor at Department of Informatics in Management
Business contact
- Location
- Al. Zwycięstwa 27, 80-219 Gdańsk
- Phone
- +48 58 348 62 62
- biznes@pg.edu.pl
Social media
Contact
- anna.baj-rogowska@pg.edu.pl
Assistant professor
- Workplace
-
Gmach B
room 710 open in new tab - anna.baj-rogowska@zie.pg.gda.pl
Publication showcase
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Can Web Search Queries Predict Prices Change on the Real Estate Market?
This study aims to explore whether the intensity of internet searches, according to the Google Trends search volume index (SVI), is a predictor of changes in real estate prices. The motivation of this study is the possibility to extend the understanding of the extra predictive power of Google search engine query volume of future housing price change (shift direction) by (i) the introduction of a research approach that combines...
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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data
Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance...
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Antecedents and outcomes of social media fatigue
Purpose – This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED). Design/methodology/approach – Through an online structured questionnaire, empirical...
General description
Bio
Anna Baj-Rogowska is employed as an assistant professor at the Department of Informatics in Management at the Faculty of Management and Economics, Gdańsk University of Technology. Her higher education is connected with the University of Gdańsk, where she graduated from a master's degree in business informatics, doctoral studies and then obtained a PhD degree in economics in management science (Department of Business Informatics at the Faculty of Management, University of Gdańsk). For a doctoral dissertation, she was awarded a scholarship by The Marshal of Pomorskie Voivodeship as part of the "Innodoktorant" project (3rd edition). She has broad scientific interests, whose common denominator is the use of IT in business.
Research interests
- sentiment analysis of textual data
- text mining
- digital transformation
Courses taught
- IT in management
- Computer-aided design
- Data mining
Consultation hours
- 710B
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