This paper presents evidence suggesting that artificial neural networks approach (ANNs) outperform traditional statistical methods and can forecast equity premiums reasonably well. The study replicates out-of-sample estimates of regression using ANN with economic fundamentals as inputs. The...

This manuscript examines the unintended consequences that organizational computer monitoring can foster within the firm. We apply justice and reactance theories to explain why monitoring can actually increase the occurrence of detrimental organizational behaviors. Our model suggests monitoring...

We present a creative approach to improve the effectiveness of decision-making groups in solving nonroutine problems by introducing increased distrust into the group. Our theory is proposed through an extension and empirical test of Schul et al.’s [1] distrust model in an online group...

Traditional TAM research primarily focuses on utilitarian systems where extrinsic motivations chiefly explain and predict acceptance. We propose a theoretical model, ISAM, which explains the role of intrinsic motivations in building the user attention that leads to hedonic system acceptance....