1. Introduction: On Types of Products of Theorizing -- 2. Useful Products in Information Systems Theorizing: A Discursive Formation Perspective -- 3. Debating Genres And IS Research: The Case Of Action Principles For Service Automation -- 4. A Paradigm Shift in Understanding Digital Objects in...

Although there has been a growing understanding of theory in the Information Systems (IS) field in recent years, the process of theorizing is rarely addressed with contributions originating from other disciplines and little effort to coherently synthesize them. Moreover, the field’s view of...

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 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...

1: Why Theories? (Mis)Understanding the Context and Rationale -- 2: Theoretical, Empirical and Artefactual Contributions in Information Systems Research: Implications Implied -- 3: Theoretical Diversity in IS Research: A Causal Structure Framework.-4: Theory Building is Neither Art nor a...

This study explores whether market sentiment is significantly related to equity premium levels using the Artificial Neural Network (ANN) framework with both the Conference Board CCI and the Michigan Consumer Sentiment Index (CSI) as market sentiment proxies. Contrary to several studies, our...