Title :
Predicting methods of financial distress for retails stemming from high returns
Author :
Zhaoyun, Tian ; Li, Qu
Author_Institution :
Sch. of Econ. & Manage., Beijing Inf. Sci. & Technol. Univ., Beijing
Abstract :
Uncertainties surrounding reverse logistics create the possibility that the retailer may be strained in meeting financial distress. The current research offers a Markov chain approach to build a random fluctuation model for the early-warning index and analyzes the financial risks stemming from retail reverse logistics activities. The worsened probability for the early-warning index can be inferred. This enables the retailing firm policy-makers to discover and eliminate the operation and financial risk early and effectively prevents the risk to be worsened to the financial distress. Finally managerial recommendations for avoiding financial distress stemming from reverse logistics activities are provided.
Keywords :
Markov processes; financial management; retailing; reverse logistics; risk analysis; Markov chain approach; financial distress; retail reverse logistics; retail stemming; retailing firm; Customer satisfaction; Economic forecasting; Financial management; Information management; Information science; Marketing and sales; Reverse logistics; Risk analysis; State-space methods; Technology management; Markov chain; financial distress; reverse logistics;
Conference_Titel :
Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2012-4
Electronic_ISBN :
978-1-4244-2013-1
DOI :
10.1109/SOLI.2008.4686522
