Mathematical models of service

Article Abstract:

Mathematical models which aim to represent the service industries can be classified into three main groups. Customer behavior models indicate how customers react to service, service quality impact models illustrate the business impact of service quality and normative service models address how firms should organize and manage their service. Customer behavior models include dynamic models of customer retention and stochastic models of customer behavior. Service quality models can be either aggregate or disaggregate. Normative service models include complaint management models and customer satisfaction incentive models.

Service Industries, Services industry, Consumer behavior, Customer satisfaction

---

Use of causal models in marketing research: a review

Article Abstract:

The use of covariance structure analysis modeling techniques in marketing is seen to further develop in the coming years. Users can then build and run causal models with greater speed and ease. The anticipated growth of such an application requires researchers to achieve a clear understanding of both the strengths and limitations of causal modeling to avoid the possible creation of a 'causal modeling' mentality.

Marketing research, Market research

---

Comparing covariance structure models: a general methodology

Article Abstract:

A general methodology for comparing covariance structure models is proposed. The model is a generalization of the Bayesian cross-validated likelihood approach proposed by Fornell and Rust (1989), which requires each competing model to possess the same set of observed variables. The method has been tested on American and Korean data.

Similar abstracts:

• Abstracts: Mathematical models for applying cell suppression methodology in statistical data protection. A mixed integer formulation for maximal covering by inclined parallelograms
• Abstracts: Contributions of French semiotics to marketing research knowledge. Fitting market and competitive intelligence into the knowledge management jigsaw: understanding the impact
• Abstracts: Cultivating global experience curve advantage on technology and marketing capabilities. Formulating adaptive marketing strategies in a global industry
• Abstracts: Britain backs off. India's China frame-up. Straw poll: who will make the best chief executive?
• Abstracts: Different transformations for solving non-convex trim-loss problems by MINLP. A result on projection for the vehicle routing problem

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.