Considering the growing number of scientific studies published in the marketing field and the development of unique theories of the area (Hunt, 2010), using experimental designs seems increasingly appropriate to investigate marketing phenomena. This article aims to discuss the main elements in...

Nonmetric unfolding is a powerful (nonparametric) analytical tool generating a preference-based joint display of subjects (e.g., customers) and objects (e.g., brands or products). Systematic patterns in customers' preferences can be directly inferred from this display, and may provide valuable...

A major obstacle to wider adoption of the newsvendor model is the difficulty of obtaining its key input---the demand distribution forecast, specifically when the products are new and no historical data are available. In such cases, judgmental forecasting methods are a commonly suggested...

Comparing groups with respect to hypothetical constructs requires that the measurement models are equal across groups. Otherwise conclusions drawn from the observed indicators regarding differences at the latent level (mean differences, differences in the structural relations) might be severly...

Psychology and economics (together known as behavioral economics) are two prominent disciplines underlying many theories in marketing. The extensive marketing literature documents consumers' nonrational behavior even though behavioral biases might not always be consistently termed or formally...

In economies with a growing service sector, the importance of intangible assets like brands, customer relationships, and organizational capabilities is rapidly increasing, as is the importance of information and knowledge for the production of goods and services. New concepts in such areas as...

Marketing research increasingly involves the use of unstructured text data, such as user-generated content collected from social media platforms. A common task in rendering these data useful for analysis is classification of the text units, for example by topic or their expressed sentiment...

We examine the situation where hourly data are available to design advertising-response models, whereas managerial decision making can concern hourly, daily or weekly intervals. The key question is how models for hourly data compare to models based on weekly data with respect to forecasting...

Although high frequency diffusion data is nowadays available, common practice is still to only use yearly figures in order to get rid of seasonality. This paper proposes a diffusion model that captures seasonality in a way that naturally matches the overall S-shaped pattern. The model is based...

In this paper we introduce a model that is suitable to study the diffusion of new and dominant multi-generation technologies. Examples are computer operat- ing systems, mobile phone standards, video game consoles. Our model incorporates three new features that are not included in related models....