IDEAS home Printed from https://ideas.repec.org/a/vrs/reoecp/v19y2019i3p175-191n2.html
   My bibliography  Save this article

Information gaps in the market for social services: retirement homes in the Czech Republic

Author

Listed:
  • Vrabková Iveta
  • Ertingerová Izabela
  • Vavrek Roman

    (VŠB-TU of Ostrava, Faculty of Economics, Department of Public Economics, Czech republic)

Abstract

The research address a partial issue of market failure in the form of information asymmetry. Within the public sector, social services, together with health services, belong to typical sectors where the information superiority of supply against demand is detected. The presence of asymmetrical/imperfect information within the social care has a significant effect on retired people who demand the services of retirement homes, and this effect occurs before as well as during the consumption of this service. The paper aims to identify and evaluate the information gaps of 159 official websites of retirement homes in the Czech Republic that are related to the supply of offered services. The evaluated websites of the retirement homes were selected in a way including all three types of the legal form of retirement homes (semi-budgetary units of regions, limited liability companies, church legal entities) that are present in this category of social services in the Czech Republic. The multi-criteria evaluation, performed by using the TOPSIS method, included 14 types of information (criteria). The TOPSIS method is based on the selection of the variant that is the closest one to the ideal variant and that is characterized by a vector. The results show that retirement homes insufficiently disclose several types of information. These include the conditions of acceptance into the retirement home, annual reports, some types of contact information, internal rules of the home, and the electronic link for the communication with the retirement home. In relation to the evaluation of the total level of 14 types of information being disclosed on the websites of retirement homes, it was revealed that 3% of them achieve an excellent level, 30% achieve a lesser than excellent level, 60% achieve a low level, and 7% of retirement homes achieve a very low level.

Suggested Citation

  • Vrabková Iveta & Ertingerová Izabela & Vavrek Roman, 2019. "Information gaps in the market for social services: retirement homes in the Czech Republic," Review of Economic Perspectives, Sciendo, vol. 19(3), pages 175-191, September.
  • Handle: RePEc:vrs:reoecp:v:19:y:2019:i:3:p:175-191:n:2
    DOI: 10.2478/revecp-2019-0010
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/revecp-2019-0010
    Download Restriction: no

    File URL: https://libkey.io/10.2478/revecp-2019-0010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Streimikiene, Dalia & Balezentis, Tomas & Krisciukaitienė, Irena & Balezentis, Alvydas, 2012. "Prioritizing sustainable electricity production technologies: MCDM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3302-3311.
    2. Boyer, Marcel & Mahenc, Phillippe & Moreaux, Michel, 2003. "Asymmetric information and product differentiation," Regional Science and Urban Economics, Elsevier, vol. 33(1), pages 93-113, January.
    3. Netten, Ann & Davies, Bleddyn, 1990. "The Social Production of Welfare and Consumption of Social Services," Journal of Public Policy, Cambridge University Press, vol. 10(3), pages 331-347, July.
    4. Richard G. Frank & David S. Salkever, 1994. "Nonprofit Organizations in the Health Sector," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 129-144, Fall.
    5. Martin Janíčko & Ivo Koubek, 2012. "Informační asymetrie a systém dvojího standardu ve vztahu zdravotník - pacient [Information Assymetry and Double Standard in the Doctor-Patient Relationship]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(3), pages 362-379.
    6. Barile, Sergio & Saviano, Marialuisa & Polese, Francesco, 2014. "Information asymmetry and co-creation in health care services," Australasian marketing journal, Elsevier, vol. 22(3), pages 205-217.
    7. Bloom, Gerald & Standing, Hilary & Lloyd, Robert, 2008. "Markets, information asymmetry and health care: Towards new social contracts," Social Science & Medicine, Elsevier, vol. 66(10), pages 2076-2087, May.
    8. Edmundas Kazimieras Zavadskas & Abbas Mardani & Zenonas Turskis & Ahmad Jusoh & Khalil MD Nor, 2016. "Development of TOPSIS Method to Solve Complicated Decision-Making Problems — An Overview on Developments from 2000 to 2015," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 645-682, May.
    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. Giuseppe Russo & Andrea Moretta Tartaglione & Ylenia Cavacece, 2019. "Empowering Patients to Co-Create a Sustainable Healthcare Value," Sustainability, MDPI, vol. 11(5), pages 1-20, March.
    2. Elena Širá & Roman Vavrek & Ivana Kravčáková Vozárová & Rastislav Kotulič, 2020. "Knowledge Economy Indicators and Their Impact on the Sustainable Competitiveness of the EU Countries," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    3. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
    4. Jim Broch Skarli, 2021. "Creating or Destructing Value in Use? Handling Cognitive Impairments in Co-Creation with Serious and Chronically Ill Users," Administrative Sciences, MDPI, vol. 11(1), pages 1-17, February.
    5. Roman Vavrek, 2021. "An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers," Mathematics, MDPI, vol. 9(12), pages 1-22, June.
    6. Toshihiro Matsumura & Noriaki Matsushima, 2010. "Patent licensing, bargaining, and product positioning," ISER Discussion Paper 0775, Institute of Social and Economic Research, Osaka University.
    7. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "The Concept of Risk and Possibilities of Application of Mathematical Methods in Supporting Decision Making for Sustainable Energy Development," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    8. Mengna Luan & Wenjing Shi & Zhigang Tao & Hongjie Yuan, 2023. "When patients have better insurance coverage in China: Provider incentives, costs, and quality of care," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(4), pages 1073-1106, October.
    9. Yongli Wang & Xiangyi Zhou & Hao Liu & Xichang Chen & Zixin Yan & Dexin Li & Chang Liu & Jiarui Wang, 2023. "Evaluation of the Maturity of Urban Energy Internet Development Based on AHP-Entropy Weight Method and Improved TOPSIS," Energies, MDPI, vol. 16(13), pages 1-18, July.
    10. Andrew McNee, 2012. "Illuminating the local: can non-formal institutions be complementary to health system development in Papua New Guinea?," Development Policy Centre Discussion Papers 1215, Development Policy Centre, Crawford School of Public Policy, The Australian National University.
    11. Jing Wang & Jian-Qiang Wang & Hong-Yu Zhang & Xiao-Hong Chen, 2017. "Distance-Based Multi-Criteria Group Decision-Making Approaches with Multi-Hesitant Fuzzy Linguistic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1069-1099, July.
    12. Wanying Zhong & Yue Wang, 2022. "A study on the spatial and temporal variation of urban integrated vulnerability in Southwest China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2855-2882, December.
    13. Pratibha Rani & Arunodaya Raj Mishra & Abbas Mardani & Fausto Cavallaro & Dalia Štreimikienė & Syed Abdul Rehman Khan, 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    14. Xu, Haoxin & Romagnoli, Alessandro & Sze, Jia Yin & Py, Xavier, 2017. "Application of material assessment methodology in latent heat thermal energy storage for waste heat recovery," Applied Energy, Elsevier, vol. 187(C), pages 281-290.
    15. Yun Jin & Hecheng Wu & Dechao Sun & Shouzhen Zeng & Dandan Luo & Bo Peng, 2019. "A Multi-Attribute Pearson’s Picture Fuzzy Correlation-Based Decision-Making Method," Mathematics, MDPI, vol. 7(10), pages 1-12, October.
    16. Emmanouil Mentzakis & Paul McNamee & Mandy Ryan, 2009. "Who cares and how much: exploring the determinants of co-residential informal care," Review of Economics of the Household, Springer, vol. 7(3), pages 283-303, September.
    17. David M. Cutler & Jill R. Horwitz, 1998. "Converting Hospitals from Not-for-profit to For-profit Status," NBER Working Papers 6672, National Bureau of Economic Research, Inc.
    18. Fang, Hong & Wang, Xu & Song, Wenyan, 2020. "Technology selection for photovoltaic cell from sustainability perspective: An integrated approach," Renewable Energy, Elsevier, vol. 153(C), pages 1029-1041.
    19. Marta Nikanorova & Jelena Stankevičienė, 2020. "Development of environmental pillar in the context of circular economy assessment: Baltic Sea Region case," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(1), pages 1209-1223, September.
    20. José Carlos Romero & Pedro Linares, 2021. "Multiple Criteria Decision-Making as an Operational Conceptualization of Energy Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-14, October.

    More about this item

    Keywords

    information asymmetry; multi-criteria evaluation; social service; TOPSIS method; websites of retirement homes;
    All these keywords.

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out

    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:vrs:reoecp:v:19:y:2019:i:3:p:175-191:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.