کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7424828 | 1482832 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bankruptcy prediction in the agribusiness sector: Lessons from quantitative and qualitative approaches
ترجمه فارسی عنوان
پیش بینی ورشکستگی در بخش کشاورزی: درس های روش های کمی و کیفی
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موضوعات مرتبط
علوم انسانی و اجتماعی
مدیریت، کسب و کار و حسابداری
کسب و کار و مدیریت بین المللی
چکیده انگلیسی
This study used the complexity theory to present an asymmetric and critical thinking approach. Its main purpose is fsQCA implementation for bankruptcy prediction of agribusiness entities and comparison with classical quantitative methods. The research comprises three phases: (1) calculation and evaluation of the predictive abilities and classification errors of 35 selected quantitative bankruptcy methods, both domestic and foreign, namely, multivariate discriminant analysis and logistic regression models; (2) fsQCA implementation for bankruptcy prediction of 14 agribusiness entities, comprising conditions that are typical of the agribusiness sector and financial and macroeconomic data; and (3) indication and comparison of the advantages and disadvantages of fsQCA against a background of classical bankruptcy prediction models. The findings indicate that managers should carefully build or/and select existing methods of bankruptcy prediction, and adjust them to the type, size, and risk of business activity.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Business Research - Volume 89, August 2018, Pages 175-181
Journal: Journal of Business Research - Volume 89, August 2018, Pages 175-181
نویسندگان
Katarzyna BoratyÅska, Emilia Grzegorzewska,