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Price sensitivity of students to their favorite applications and programs

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the article is to determine the price sensitivity of students to their favorite applications and programs. Design/methodology/approach: The main research problem is: What is the price sensitivity of students to their favorite applications and programs? The study was conducted using the quantitative method, the survey technique on students in Krakow (Poland) in May and June 2023. The research sample was 424 people. Findings: Every second student would not give up Messenger if it was paid at an affordable price, every third from Instagram and Spotify, every fourth from YouTube, and every fifth from TikTok. They would be less willing to pay, for example, for Facebook. Every third student would be willing to pay up to PLN 20 per month for their favorite application or program (above this amount, they would rather not use it than pay). Every fifth respondent indicated PLN 30 per month as the upper limit. The vast majority of students (71%) declared that if the respondents' favorite application or program was paid at an affordable price, they would continue to use it. One in four respondents said they would look for a replacement (25%). Research limitations/implications: Studying price sensitivity in the new technologies sector is a complex problem and the research presented in this work covers only selected aspects in this field. Practical implications: The research results show young people's declarations of price changes in the new technologies sector. Could raising the prices of their favorite apps cause them to use them less? The new technologies sector can use the research results to set prices for selected applications or programs. Social implications: The research conclusions can be used to determine whether price manipulation for new technologies can result in less use of them by young people, and thus have a positive social effect. Originality/value: The study provides insights into the willingness of students to pay for these services and identifies specific preferences and behaviors regarding the use of paid and free versions of applications. The research results can be used by owners of online platforms, marketers, educators and students.
Rocznik
Tom
Strony
259--273
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
  • University of the National Education Commission
Bibliografia
  • 1. Begg, D., Fisher, S., Vernasca, G., Dornbusch, R. (2014). Mikroekonomia. Warszawa: PWE.
  • 2. Brooks, S., Wang, X., Schneider, C. (2020). Technology Addictions and Technostress: An Examination of the U.S. and China. J. Organ. End User Comput. https://doi.org/10.4018/joeuc.2020040101.
  • 3. Digital 2023 Poland (2023). https://datareportal.com/reports/digital-2023-poland, 15.06.2023.
  • 4. Doligalski, T. et al. (2014). Modele biznesu w Internecie. Warszawa: PWN.
  • 5. Furner, C.P., Zinko, R. (2018). Willingness to pay and disposition toward paying for apps: The influence of application reviews. International Journal of E-Services and Mobile Applications (IJESMA), 10(1), 13-33.
  • 6. Gundlach, H., Hofmann, J. (2017). Preferences and willingness to pay for tablet news apps. Journal of Media Business Studies, 14(4), 257-281.
  • 7. Hebly, P. (2012). Willingness to pay for mobile apps. Management, 27(6).
  • 8. Kanwal, S., Pitafi, A., Akhtar, S., Irfan, M. (2019). Online Self-Disclosure Through Social Networking Sites Addiction: A Case Study of Pakistani University Students. Interdisciplinary Description of Complex Systems. https://doi.org/10.7906/INDECS. 17.1.18.
  • 9. Michalak, J. (2016). Model biznesu przedsiębiorstw. Łódź: Wydawnictwo Uniwersytetu Łódzkiego.
  • 10. Moroz, E. (2005). Podstawy mikroekonomii. Warszawa: PWE.
  • 11. Obwieszczenie Prezesa Głównego Urzędu Statystycznego z dnia 28 marca 2023 r. w sprawie przeciętnego miesięcznego dochodu rozporządzalnego na 1 osobę ogółem w 2022 r. (2022). https://sip.lex.pl/akty-prawne/mp-monitor-polski/przecietny-miesieczny-dochod-rozporzadzalny-na-1-osobe-ogolem-w-2022-r-21811730, 15.06.2023.
  • 12. Perloff, M.J. (2007). Microeconomics. Boston: Pearson International Edition.
  • 13. Ramírez, E., Goldsmith, R. (2009). Some Antecedents of Price Sensitivity. Journal of Marketing Theory and Practice. https://doi.org/10.2753/MTP1069-6679170301.
  • 14. Samuelson, P., Nordhaus, W. (2004). Ekonomia. Warszawa: PWN.
  • 15. Samuelson P.A., Nordhaus W.D. (2008). Ekonomia. T. 1. Warszawa: PWN.
  • 16. Sytuacja gospodarstw domowych w 2022 r. w świetle badania budżetów gospodarstw domowych (2022). https://stat.gov.pl/obszary-tematyczne/warunki-zycia/dochody-wydatki-i-warunki-zycia-ludnosci/sytuacja-gospodarstw-domowych-w-2022-r-w-swietle-badania-budzetow-gospodarstw-domowych,3,22.html, 15.06.2023.
  • 17. Tutgun-Ünal, A. (2020). Social Media Addiction of New Media and Journalism Students. Turkish Online Journal of Educational Technology.
  • 18. Varian, H.R. (1995). Mikroekonomia. Warszawa: PWN.
  • 19. Wachowiak, P. et al. (2006). Funkcjonowanie przedsiębiorstwa w gospodarce rynkowej. Warszawa: Stowarzyszenie Księgowych w Polsce.
  • 20. Waliński, J. (2013). Ekonomia bez ograniczeń. Łódź: Polskie Towarzystwo Ekonomiczne.
  • 21. Wang, C.Y., Chang, H.C., Chou, S.C.T., Chen, F.F. (2013). Acceptance and willingness to pay for mobile TV apps. PACIS 2013 Proceedings, 260.
  • 22. Wierzbiński, M. (2016). Model przychodowy w kształtowaniu modelu biznesu. Szczecin: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3a00f8ef-484b-481f-b8ba-fa776260a003
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