The Bass (1969) diffusion theory often guides the construction of forecasting models for new product diffusion. To match the model with data, one needs to put forward a statistical model. This paper compares four empirical versions of the model, where two of these explicitly incorporate...

Coefficient Alpha, which is widely used in empirical research, estimates the reliability of a test consisting of parallel items. In practice it is difficult to compare values of alpha across studies as it depends on the number of items used. In this paper we provide a simple solution, which...

We propose a new empirical representation of the Bass diffusion model, in order to estimate thethree key parameters, concerning innovation, imitation and maturity. The representation isbased on the notion that the observed data may temporarily deviate from the mean pathdetermined by the...

The individual impact of CRM systems is strongly related to impact at the organizational level. Fit with the task of the user is key. CRM systems are successful in organizations that reward customer-centric behavior and that have an analytical decision style. Acceptance of a CRM system should be...

This paper examines the behaviour of the demand for money in Greece during 1976:1-2000:4, a period that included many of the influences that cause money-demand instability. Two empirical methodologies, vector error correction (VEC) modelling and second-generation random coefficient (RC)...

Exploiting the fact that most arrival processes exhibit cyclic behaviour, we propose a simple procedure for estimating the intensity of a non-homogeneous Poisson process. The estimator is the super-resolution analogue to Shao 2010 and Shao & Lii 2011, which is a sum of p sinusoids where p and...

We present an approach to forecast customer orders of ready-to-launch new products that are similar to past products. The approach fits product life cycle (PLC) curves to historical customer order data, clusters the curves of similar products, and uses the representative curve of the new...

Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forecast accuracy in businesses and organizations. It is however, biased: When used to select among competing prediction methods it systematically selects those whose predictions are too low. This is...

This paper describes a modelling methodology for multivariate stochastic processes. The concept of multiple causality is discussed and a procedure to detect multiple causality is suggested. The data of a major Canadian supermarket is analyzed and a multivariate autoregressive model for this...

In this paper we use detailed data on 4,599 hotels located in Rome collected from TripAdvisor, the world's largest travel platform, to examine the causal effects of bubble ratings (detailed to half-bubbles) on hotel popularity measured with the number of people viewing the hotel’s page. By...