IDEAS home Printed from https://ideas.repec.org/a/rej/journl/v16y2013i50p87-100.html
   My bibliography  Save this article

Challenges of Tuition fee’s decision: Private Universities case in Kosovo

Author

Listed:
  • Besa Shahini

    (Faculty of Economy, University of Tirana, Albania)

  • Yllka Azemi

    (University College “Globus”, Pristine, Kosovo)

Abstract

This study assesses Challenges that Private Universities in Kosovo face when employing tuition fee strategies. Data are collected on May - June 2012 through in-depth interview and questioners with supervisors and students of three Private Universities in Kosovo. As of low purchasing power of students and overall economic crises in Kosovo, students are very sensitive to pricing strategies employed and according to fee they evaluate before and after -enrollment assessment. Students’ academic expectations are much higher relative to their low tuition requirements. In transition economies, employing tuition strategies that satisfy both Universities and students is a challenge for higher educational institutions.

Suggested Citation

  • Besa Shahini & Yllka Azemi, 2013. "Challenges of Tuition fee’s decision: Private Universities case in Kosovo," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 16(50), pages 87-100, December.
  • Handle: RePEc:rej:journl:v:16:y:2013:i:50:p:87-100
    as

    Download full text from publisher

    File URL: http://www.rejournal.eu/sites/rejournal.versatech.ro/files/articole/2013-12-01/1904/5.shahini-azemi.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sunil Gupta & Valarie Zeithaml, 2006. "Customer Metrics and Their Impact on Financial Performance," Marketing Science, INFORMS, vol. 25(6), pages 718-739, 11-12.
    2. Winer, Russell S, 1986. "A Reference Price Model of Brand Choice for Frequently Purchased Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 250-256, September.
    3. McPherson, Michael S & Schapiro, Morton Owen, 1991. "Does Student Aid Affect College Enrollment? New Evidence on a Persistent Controversy," American Economic Review, American Economic Association, vol. 81(1), pages 309-318, March.
    4. Silvia Sonderegger, 2011. "Market Segmentation With Nonlinear Pricing," Journal of Industrial Economics, Wiley Blackwell, vol. 59(1), pages 38-62, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Polo, Yolanda & Sese, F. Javier & Verhoef, Peter C., 2011. "The Effect of Pricing and Advertising on Customer Retention in a Liberalizing Market," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 201-214.
    2. Buil, Isabel & de Chernatony, Leslie & Martínez, Eva, 2013. "Examining the role of advertising and sales promotions in brand equity creation," Journal of Business Research, Elsevier, vol. 66(1), pages 115-122.
    3. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    4. David R. Bell & Jeongwen Chiang & V. Padmanabhan, 1999. "The Decomposition of Promotional Response: An Empirical Generalization," Marketing Science, INFORMS, vol. 18(4), pages 504-526.
    5. Angulo-Ruiz, Fernando & Pergelova, Albena & Cheben, Juraj & Angulo-Altamirano, Eladio, 2016. "A cross-country study of marketing effectiveness in high-credence services," Journal of Business Research, Elsevier, vol. 69(9), pages 3636-3644.
    6. Yuval Arbel & Danny Ben-Shahar & Stuart Gabriel, 2016. "Are The Disabled Less Loss Averse? Evidence From A Natural Policy Experiment," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1291-1318, April.
    7. Wlömert, Nils & Papies, Dominik, 2016. "On-demand streaming services and music industry revenues — Insights from Spotify's market entry," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 314-327.
    8. Shao, Ling, 2014. "Estimating the relationship between calculated financial need and actual aid received using quarter of birth instruments," Economics of Education Review, Elsevier, vol. 42(C), pages 165-174.
    9. Bo Wang & Ning Wang, 2022. "Decision Models for a Dual-Recycling Channel Reverse Supply Chain with Consumer Strategic Behavior," Sustainability, MDPI, vol. 14(17), pages 1-18, August.
    10. Lei Xu & Govindan Kannan & Xiaoli Yang & Jian Li & Xiukun Zhao, 2013. "Pricing and Allotment in a Sea-Cargo Supply Chain with Reference Effect: A Dynamic Game Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-10, March.
    11. Wang, Fei & Yuan, Yu & Lu, Liangdong, 2021. "Dynamical prediction model of consumers’ purchase intentions regarding anti-smog products during smog risk: Taking the information flow perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    12. Vergolini, Loris & Zanini, Nadir, 2015. "Away, but not too far from home. The effects of financial aid on university enrolment decisions," Economics of Education Review, Elsevier, vol. 49(C), pages 91-109.
    13. Tommasi, Mariano, 1996. "Inflation and the Informativeness of Prices: Microeconomic Evidence from High Inflation," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 16(2), November.
    14. Popkowski Leszczyc, Peter T.L. & Qiu, Chun & He, Yongfu, 2009. "Empirical Testing of the Reference-Price Effect of Buy-Now Prices in Internet Auctions," Journal of Retailing, Elsevier, vol. 85(2), pages 211-221.
    15. Fischer, Greg & Karlan, Dean & McConnell, Margaret & Raffler, Pia, 2019. "Short-term subsidies and seller type: A health products experiment in Uganda," Journal of Development Economics, Elsevier, vol. 137(C), pages 110-124.
    16. Deepa Chandrasekaran & Gerard J. Tellis, 2008. "Global Takeoff of New Products: Culture, Wealth, or Vanishing Differences?," Marketing Science, INFORMS, vol. 27(5), pages 844-860, 09-10.
    17. Chao, Yong & Fernandez, Jose & Nahata, Babu, 2015. "Pay-what-you-want pricing: Can it be profitable?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 176-185.
    18. Biondi, Beatrice & Cornelsen, Laura & Mazzocchi, Mario & Smith, Richard, 2020. "Between preferences and references: Asymmetric price elasticities and the simulation of fiscal policies," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 108-128.
    19. Carlos Cáceres & Carlos Chávez, 1995. "El Programa de Becas de Arancel Universitario MINEDUC: Antecedentes para una Evaluación," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 32(96), pages 165-198.
    20. Alexandre Schaefer & Luciano G Buratto & Nobuhiko Goto & Emilie V Brotherhood, 2016. "The Feedback-Related Negativity and the P300 Brain Potential Are Sensitive to Price Expectation Violations in a Virtual Shopping Task," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-21, September.

    More about this item

    Keywords

    Pricing strategies; universities; customer acquisitions; tuition vs. students; downward sloping demand curve;
    All these keywords.

    JEL classification:

    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General
    • N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • J78 - Labor and Demographic Economics - - Labor Discrimination - - - Public Policy (including comparable worth)
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rej:journl:v:16:y:2013:i:50:p:87-100. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Radu Lupu (email available below). General contact details of provider: https://edirc.repec.org/data/frasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.