{
    "article_id": 1352,
    "public_id": "e694b99f-81c3-4960-aaf3-936a15e69e74",
    "internal_identifier": null,
    "source_identifier": "86:30",
    "status": "published",
    "type": "research_article",
    "title": "Entropi ve EDAS Yöntemleri İle Personel Seçimi: Hipotetik Çalışma",
    "title_secondary": null,
    "abstract": "İşletmeler, istihdam sağlamak istedikleri alanlara mevcut görev için nicel ve nitel şartlarını sağlayan en uygun personel ile çalışmak isterler. İstihdam sağlanmak istenilen pozisyon için en uygun personelin seçimi, işletmelerin iş akış süreçleri ve işletme verimliliği açısından büyük önem arz etmektedir. Belirlenen görev ve pozisyon için yapılan başvuruların sayısının ve başvuru yapanların değerlendirilmesinde birden fazla kriterin dikkate alınmasından dolayı, personel seçimi problemini bir Çok Kriterli Karar Verme Problemi (ÇKKV) haline getirmektedir. Bu çalışmada bir personel seçim problemi, ÇKKV yöntemleri olan Entropi ve EDAS yöntemleri ile çözülmüştür. Entropi yöntemi, karar matrisinden hareket ederek kriterlere ait ağırlıkların bulunmasında kullanılmıştır. EDAS yöntemi ile personel alternatifleri performanslarına göre değerlendirilecek ve en iyi performansa sahip personel belirlenmiştir. Bu çalışmada beş kriter (ücret, takım çalışmasına adapte olabilme, dil becerileri, bilgisayar becerileri ve mesleki kabiliyetleri) değerlendirilmiştir. Bahsedilen kriterler göz önünde bulundurularak beş personel alternatifi değerlendirilmiştir. Personel alternatifleri, EDAS yönteminin sonuçlarına göre şu şekilde sıralanmıştır; Personel 3 > Personel 2 > Personel 4 > Personel 1 > Personel 5. ",
    "language": "tr",
    "english_title": "Personnel Selection with Entropy and EDAS Methods: Hypothetical Study",
    "english_abstract": "Businesses would like to work with the most appropriate personnel who meet the qualitative and quantitative requirements for the current task in the areas where they would like to provide employment. The selection of the most suitable personnel for the position to be employed is of great importance in terms of workflow processes and operational efficiency of the enterprises. Since multiple criteria are taken into account in the evaluation of the number of applications for the determined task and position and the applicants, the problem of personnel selection becomes a Multi-Criteria Decision Making Problem (MCDM). In this study, a personnel selection problem was solved by Entropy and EDAS method, which are MCDM methods. The Entropy method was used to find the weights of the criteria based on the decision matrix. With the EDAS method, the personnel alternatives were evaluated according to their performances and the best performing personnel were determined. Five criteria (wage, adaptability to teamwork, language skills, computer skills, and professional abilities) were evaluated in this study. Five personnel alternatives were evaluated considering these criteria. According to the results of the EDAS method, personnel alternatives are listed as follows; Personnel 3> Personnel 2> Personnel 4> Personnel 1> Personnel.",
    "doi": "10.36287/setsci.4.8.030",
    "doi_url": "https://doi.org/10.36287/setsci.4.8.030",
    "resource_url": "https://www.set-science.com/a/e694b99f-81c3-4960-aaf3-936a15e69e74",
    "pdf_url": "https://www.set-science.com/a/e694b99f-81c3-4960-aaf3-936a15e69e74/pdf",
    "og_image": "https://www.set-science.com/assets/img/og-card-v2.png",
    "authors": [
        {
            "public_id": "4539a92d-aa07-4dc2-8dba-e9e5241693b0",
            "given": "Hasan",
            "family": "Tağraf",
            "full": "Hasan Tağraf",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "olmezumur@icloud.com",
            "corresponding": false,
            "sequence": "first",
            "affiliations": [
                {
                    "name": "Sivas Cumhuriyet University",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
                    "ror_url": null
                }
            ]
        },
        {
            "public_id": "4a5a48d8-3888-40c9-85d7-b570c7c6b7b8",
            "given": "Umur",
            "family": "Ölmez",
            "full": "Umur Ölmez",
            "literal": null,
            "orcid": null,
            "orcid_url": null,
            "email": "olmezumur@icloud.com",
            "corresponding": true,
            "sequence": "additional",
            "affiliations": [
                {
                    "name": "Sivas Cumhuriyet University",
                    "department": null,
                    "country": null,
                    "country_code": null,
                    "ror": null,
                    "ror_url": null
                }
            ]
        }
    ],
    "keywords": [],
    "translations": [
        {
            "language": "en",
            "title": "Personnel Selection with Entropy and EDAS Methods: Hypothetical Study",
            "abstract": "Businesses would like to work with the most appropriate personnel who meet the qualitative and quantitative requirements for the current task in the areas where they would like to provide employment. The selection of the most suitable personnel for the position to be employed is of great importance in terms of workflow processes and operational efficiency of the enterprises. Since multiple criteria are taken into account in the evaluation of the number of applications for the determined task and position and the applicants, the problem of personnel selection becomes a Multi-Criteria Decision Making Problem (MCDM). In this study, a personnel selection problem was solved by Entropy and EDAS method, which are MCDM methods. The Entropy method was used to find the weights of the criteria based on the decision matrix. With the EDAS method, the personnel alternatives were evaluated according to their performances and the best performing personnel were determined. Five criteria (wage, adaptability to teamwork, language skills, computer skills, and professional abilities) were evaluated in this study. Five personnel alternatives were evaluated considering these criteria. According to the results of the EDAS method, personnel alternatives are listed as follows; Personnel 3> Personnel 2> Personnel 4> Personnel 1> Personnel.",
            "keywords": [
                "Personel Seçimi, Entropi, EDAS, ÇKKV, İstihdam"
            ]
        }
    ],
    "subjects": [],
    "subject_names": [],
    "published_date": "2019-12-23",
    "published_year": "2019",
    "received_date": null,
    "accepted_date": null,
    "volume": "11",
    "issue": null,
    "page_first": "175",
    "page_last": "177",
    "article_number": null,
    "conference": {
        "short_name": "ISAS WINTER-2019 (SHS)",
        "full_title": "4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences",
        "name": "4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences",
        "acronym": "ISAS WINTER-2019 (SHS)",
        "location": "Samsun, Türkiye",
        "start_date": "2019-11-22",
        "end_date": null,
        "public_id": "73307755-0f4d-4992-a1c3-d225b24f9d10"
    },
    "proceedings": {
        "title": "4th International Symposium on Innovative Approaches in Social, Human and Administrative Sciences",
        "series_title": "SETSCI Conference Proceedings",
        "publisher": "SET Technology",
        "isbn": "978-605-69925-0-6",
        "eisbn": null,
        "issn": null,
        "eissn": "2687-5527",
        "doi": null,
        "doi_prefix": "10.36287",
        "slug": "setsci-volume-11-2019-legacy-86",
        "public_id": "c7eface9-586c-439b-b400-37065e23904e",
        "url": "https://www.set-science.com/p/setsci-volume-11-2019-legacy-86"
    },
    "license": {
        "name": "CC BY 4.0",
        "url": "https://creativecommons.org/licenses/by/4.0/",
        "code": "CC-BY-4.0",
        "open_access": true
    },
    "copyright": {
        "holder": "SET Technology",
        "year": "2019"
    },
    "funding_statement": null,
    "funders": [],
    "references": [
        {
            "order": 1,
            "raw": "İle Personel Seçimi Problemine Bütünleşik Bir Yaklaşim. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 25(4), 905-913. \r\n[2]\t Adıgüzel, O. (2009). Personel Seçiminin Analitik Hiyerarşisi         Prosesi Yöntemiyle Gerçekleştirilmesi. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi, 24, 243-251.\r\n[3]\tKöse, E., Aplak, H. S., & Kabak, M. (2013). Personel Seçimi için Gri Sistem Teori Tabanli Bütünlesik Bir Yaklasim/An Integrated Approach Based on Grey System Theory for Personnel Selection. Ege Akademik Bakis, 13(4), 461-471.\r\n[4]\tŞimşek, A., O. Catır, N. Ömürbek (2014). Turizm Sektöründe Bulanık Analitik Hiyerarşi Süreci İle Personel Seçimi. Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2, 147-169.\r\n[5]\tAkar, G. S., & Çakır, E. (2016). Lojistik Sektöründe Bütünleştirilmiş Bulanık Ahp-Moora Yaklaşımı İle Personel Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 14(2), 185-199.\r\n[6]\tWang, T. C. & Lee, H. D. (2009). Developing a fuzzy TOPSIS approach based on subjective weights and objective weights. Expert systems with applications, 36(5), 8980-8985.\r\n[7]\tUlutaş, A. (2019). Entropi ve MABAC Yöntemleri ile Personel Seçimi. OPUS Uluslararası Toplum Araştırmaları Dergisi, 13(19), 1552-1573.\r\n[8]\t Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.",
            "doi": null,
            "title": null,
            "authors": null,
            "source": null,
            "year": null,
            "volume": null,
            "pages": null
        }
    ],
    "statements": {
        "acknowledgements": null,
        "conflict_of_interest": null,
        "data_availability": null,
        "ai_disclosure": null
    },
    "credit": [],
    "history": {
        "published": "2019-12-23"
    }
}