Artificial neural networks in business: Two decades of research
M Tkáč, R Verner - Applied Soft Computing, 2016 - Elsevier
In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …
business applications. Despite the growing number of research papers, only few studies …
Marketing analytics: Methods, practice, implementation, and links to other fields
Marketing analytics is a diverse field, with both academic researchers and practitioners
coming from a range of backgrounds including marketing, expert systems, statistics, and …
coming from a range of backgrounds including marketing, expert systems, statistics, and …
Revealing customers' satisfaction and preferences through online review analysis: The case of Canary Islands hotels
Travelers can enjoy a wide range of choices with the assistance of online review websites
such as TripAdvisor. Online reviews provided by customers are an important portion of …
such as TripAdvisor. Online reviews provided by customers are an important portion of …
Forecasting daily stock market return using dimensionality reduction
In financial markets, it is both important and challenging to forecast the daily direction of the
stock market return. Among the few studies that focus on predicting daily stock market …
stock market return. Among the few studies that focus on predicting daily stock market …
Predicting the daily return direction of the stock market using hybrid machine learning algorithms
Big data analytic techniques associated with machine learning algorithms are playing an
increasingly important role in various application fields, including stock market investment …
increasingly important role in various application fields, including stock market investment …
[PDF][PDF] The effects of social media marketing on online consumer behavior
S Vinerean, I Cetina, L Dumitrescu… - International journal of …, 2013 - researchgate.net
Social media allows customers and prospects to communicate directly to your brand
representative or about your brand with their friends. However, the obvious question is: who …
representative or about your brand with their friends. However, the obvious question is: who …
Consumers' perceived risk: sources versus consequences
N Lim - Electronic commerce research and applications, 2003 - Elsevier
In this study, we examine an important factor that affects consumers' acceptance of business-
to-commerce (B2C) electronic commerce—perceived risk. The objective of this paper is to …
to-commerce (B2C) electronic commerce—perceived risk. The objective of this paper is to …
Forecasting stock indices with back propagation neural network
JZ Wang, JJ Wang, ZG Zhang, SP Guo - Expert Systems with Applications, 2011 - Elsevier
Stock prices as time series are non-stationary and highly-noisy due to the fact that stock
markets are affected by a variety of factors. Predicting stock price or index with the noisy data …
markets are affected by a variety of factors. Predicting stock price or index with the noisy data …
Stock index forecasting based on a hybrid model
JJ Wang, JZ Wang, ZG Zhang, SP Guo - Omega, 2012 - Elsevier
Forecasting the stock market price index is a challenging task. The exponential smoothing
model (ESM), autoregressive integrated moving average model (ARIMA), and the back …
model (ESM), autoregressive integrated moving average model (ARIMA), and the back …
EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction
Stock market forecasting is a vital component of financial systems. However, the stock prices
are highly noisy and non-stationary due to the fact that stock markets are affected by a …
are highly noisy and non-stationary due to the fact that stock markets are affected by a …