We present a method that dynamically designs elicitation questions for estimating risk and time preference parameters. Typically these parameters are elicited by presenting decision makers with a series of static choices between alternatives, gambles, or delayed payments. The proposed method...

We study the key drivers of adoption of e-business practices by small and medium-sized enterprises (SMEs) in Eastern Europe. We discuss the results of a survey of over 900 SME managers in four Eastern European countries and Cyprus. The survey was built on the basis of a framework for studying...

Enterprise information systems, such as Enterprise Resource Planning (ERP), have often been criticized for their rigidity. Alternatively, global, matrixed enterprises often follow a federated information systems approach. The first type of enterprises, which we call the standardized enterprises,...

As the amount of data increases, organizations need to consider how to use their information assets successfully, an organizational capability that we call information intelligence. Starting from a particular area of information management, that of using market research data, and based on our...

The success of any user-generated content website depends crucially on its asset of content contributors. How firms should invest in the acquisition and retention of content contributors represents a novel question that is particularly important for these websites. We develop a vector...

We propose and test a new approach for modeling consumer heterogeneity in conjoint estimation based on convex optimization and statistical machine learning. We develop methods both for metric and choice data. Like hierarchical Bayes (HB), our methods shrink individual-level partworth estimates...

We introduce methods from statistical learning theory to the field of conjoint analysis for preference modeling. We present a method for estimating preference models that can be highly nonlinear and robust to noise. Like recently developed polyhedral methods for conjoint analysis, our method is...