The outcomes of many activities depend upon both skill and luck. We analyze stock analysts' forecasts of companies' earnings per share under market conditions that vary in volatility and thus imply different levels of luck in outcomes. Noting that making forecasts that deviate widely from the...

Direct-to-consumer medical artificial intelligence/machine learning applications are increasingly used for a variety of diagnostic assessments, and the emphasis on telemedicine and home healthcare during the COVID-19 pandemic may further stimulate their adoption. In this Perspective, we argue...

Artificial intelligence (AI) and Machine learning (ML) systems in medicine are poised to significantly improve health care, for example, by offering earlier diagnoses of diseases or recommending optimally individualized treatment plans. However, the emergence of AI/ML in medicine also creates...

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 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...