Healthcare 4.0 and Decision-Making Techniques in the Health Industry: a Systematic Literature Review
dc.authorscopusid | 56382942700 | |
dc.authorscopusid | 57194545622 | |
dc.contributor.author | Küçükönder, H. | |
dc.contributor.author | Görçün, Ömer Faruk | |
dc.contributor.author | Görçün, Ö.F. | |
dc.date.accessioned | 2023-10-19T15:05:25Z | |
dc.date.available | 2023-10-19T15:05:25Z | |
dc.date.issued | 2023 | |
dc.department-temp | Küçükönder, H., Department of Numerical Methods, Faculty of Economics and Administrative Sciences, Bartın University, Bartın, Turkey; Görçün, Ö.F., Department of Business Management, Faculty of Economics, Administrative, and Social Sciences, Kadir Has University, Istanbul, Turkey | en_US |
dc.description.abstract | The current study examines the state-of-the-art literature on using MCDM frames to solve various evaluation problems faced in the health industry. As is known, the health industry has a highly complicated and dynamic structure. Moreover, the requirement to use advanced technology in almost all phases of the treatment process makes it challenging to handle these assessment problems faced in the healthcare industry. Also, these requirements make evaluation and selection processes more complicated for practitioners, as they produce many complicated uncertainties aside from existing ambiguities. Therefore, the health industry is one of the promising fields of application for scholars dealing with decision-making approaches and proposing a new methodology. The authors applied a systematic literature review approach to determine the gaps and key research themes and synthesize the findings. The study concludes with recommendations about the research framework to help the authors carry out future works on this issue. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | en_US |
dc.identifier.citationcount | 1 | |
dc.identifier.doi | 10.1007/978-981-99-1818-8_10 | en_US |
dc.identifier.endpage | 134 | en_US |
dc.identifier.issn | 2509-7873 | |
dc.identifier.scopus | 2-s2.0-85156170159 | en_US |
dc.identifier.startpage | 121 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-981-99-1818-8_10 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/4885 | |
dc.khas | 20231019-Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartof | Accounting, Finance, Sustainability, Governance and Fraud | en_US |
dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 1 | |
dc.subject | Health industry | en_US |
dc.subject | MCDM | en_US |
dc.subject | Systematic literature review | en_US |
dc.subject | Technology | en_US |
dc.title | Healthcare 4.0 and Decision-Making Techniques in the Health Industry: a Systematic Literature Review | en_US |
dc.type | Book Part | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 4d0f6004-dbe4-4e79-befd-457af3bb133f | |
relation.isAuthorOfPublication.latestForDiscovery | 4d0f6004-dbe4-4e79-befd-457af3bb133f |