Kybernetes: Volume 49 Issue 9

A microcredit evaluation model for non-bank financial institutions

Ramona Diana Leon, Laurențiu Mihai Treapăt, Anda Gheorghiu, Sergiu Octavian Stan

The paper aims to develop a microcredit evaluation model (MEM) which could serve as a useful tool for banks and NBFIs when SMEs’ economic and financial risks are evaluated.

The evolution of the public sphere

José J. Blanco

The purpose of this study is to rethink the issue of publicity from a cross-cultural and evolutionary perspective.

Assessing consumers’ motivations for purchasing remanufactured products: Using single valued neutrosophic sets and prospect theory

Qinghua Gan, Shumei Chen

Environmental crises and resource shortage have been matters of concern worldwide particularly, as the beginning of the twenty-first century. Remanufacturing can be one of the…

The quintuple helix innovation model and brain circulation in central, emerging and peripheral countries

Iván Manuel De la Vega Hernández, Luciano Barcellos de Paula

The quintuple helix innovation model allows exploring the sustainable development of countries from the perspective of the capabilities that each of them possesses in terms of…

An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Chunxia Yu, Zhiqin Zou, Yifan Shao, Fengli Zhang

The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN)…

A dynamic model of strategic outsourcing with emphasis on human resources and work experience in power industry of Iran

Mohsen Shafie Nikabadi, Delshad Hoseini

The production of a good or service requires that the supplier performs a wide range of activities. Many companies are trying to fit outsourcing with the dimensions of their…

Stock market data modelling using fitness-oriented JAYA algorithm-based deep belief network

A. Kullaya Swamy, Sarojamma B.

Data mining plays a major role in forecasting the open price details of the stock market. However, it fails to address the dimensionality and expectancy of a naive investor…

Patient visit forecasting in an emergency department using a deep neural network approach

Milad Yousefi, Moslem Yousefi, Masood Fathi, Flavio S. Fogliatto

This study aims to investigate the factors affecting daily demand in an emergency department (ED) and to provide a forecasting tool in a public hospital for horizons of up to…