Title: A systematic overview of the prediction of business failure

Authors: Valeria Scherger; Antonio Terceño; Hernán Vigier

Addresses: Economic Department, Universidad Nacional del Sur (UNS)-IIESS UNS-CONICET, Campus Altos de Palihue, 8000 Bahía Blanca, Argentina ' Faculty of Business and Economic, Universitat Rovira i Virgili. Av. de la Universitat 1, 43204 Reus, Spain ' Economic Department, Universidad Nacional del Sur (UNS) – CEDETS (UPSO-CIC), Ciudad de Cali 320-Campus Altos de Palihue, 8000 Bahía Blanca, Argentina

Abstract: This paper proposes a systematic analysis and revision of the literature to predict business failure. The systematic literature review (SLR) is done using Scopus database that is one of the biggest scientific databases. The study analyses the state-of-the-art of the subject between 1968 and 2017. At first are defining the keywords relevant to the subject, and are synthesising the publications across years identifying a growing trend in the literature. Also are detailing the most relevant journals and cited papers. This kind of study is valid to evaluate the scientific production across the years, to find the most important contributions and to have a global vision of the subject. Furthermore this information is useful to researchers to begin the study of a subject and to know the literature tendency.

Keywords: business failure prediction; state-of-the-art; systematic literature review; fuzzy logic; financial ratios; bankruptcy; corporate failure; Scopus database.

DOI: 10.1504/IJTPM.2019.100601

International Journal of Technology, Policy and Management, 2019 Vol.19 No.2, pp.196 - 211

Received: 13 Nov 2017
Accepted: 09 Feb 2018
Published online: 05 Jul 2019 *

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