Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

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...

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...

Purpose: The purpose of this paper is to understand how microfinance initiatives (MFIs) are organized and orchestrated to serve internal and external stakeholders. Design/methodology/approach: A qualitative case study of three international nongovernmental organizations (NGOs)–CARE, Oxfam and...