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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
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    References listed on IDEAS

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    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.
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    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

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