Fair Assignment of Debt Cases to Legal Debt Collection Centers

Elmira Farrokhizadeh, Sara Ghazanfari Khameneh, Nilüfer Altinok, Ahmet Tezcan Tekin, Basar Oztaysi, Özgür Kabak*, Sezi Çevik Onar, Aslıhan Ceren Tari, Özge Gencer Aydemir, Ersan Öztürk

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümBölümbilirkişi

Özet

Nowadays, unpaid invoices are major concerns in many industries or service companies that seriously affect firms’ cash flows, credit ratings, and firms’ image. To overcome the financial problems caused by unpaid debts, managing and controlling these debts is a vital task for companies’ financial survival. Unpaid receivables are collected by the company or debt collection agency as a third party. The debt collection process consists of the collection phase and the legal phase. When the debt collectors are unsuccessful in obtaining the long-term unpaid receivables in the collection phase; the debts will be transferred to the legal debt collection agencies as the legal phase and carried out by experienced lawyers. In order to initiate the legal phase, the unpaid receivables, the so-called cases, are assigned legal collection agencies based on the features of both cases and agencies. In this study, a fair assignment model is built to allocate the customer cases to legal debt collection agencies to prevent company from increasing unpaid debts and manage the legal debt collection process effectively. This model maximizes the advantage of assigning in the same city or region considering the cost, capacity, and equality of each legal debt collection agency in getting the outstanding debts. Budget of the agencies and the number of the cases in the same city are balanced to have a fair assignment. The model is validated by an application in a big service company in Turkey.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıInternational Series in Operations Research and Management Science
YayınlayanSpringer
Sayfalar1-29
Sayfa sayısı29
DOI'lar
Yayın durumuYayınlandı - 2022

Yayın serisi

AdıInternational Series in Operations Research and Management Science
Hacim326
ISSN (Basılı)0884-8289
ISSN (Elektronik)2214-7934

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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