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The methods used for analyzing customer relationships have traditionally focused exclusively on service encounters. Recently, researchers have presented these service encounters as a flow or process, although without taking time into account. Both of these perspectives on customer relationships have provided the means for developing a process-based method that does take time into account. This makes it possible to analyze and describe a customer relationship in which effects and consequences can be represented and the influenced and influencing factors prioritized. Given that the domain for analyzing the customer relationship is a switch from one service provider to another, the consequence is clear. The switch is identical to the consequence. The consequence, again, defines the criticality. Criticality and context are key concepts in the search for a deeper understanding of customer relationships, and efforts are made to include them in the development of the methods put forward in this article.

The importance and difficulty of keeping customers constantly features in the marketing literature. However, customer studies have generally focused on loyal customers and loyalty rather than on reasons for switching service providers. The aim of this article is to present a model for studying customers' switching behavior as processes by extending the Critical Incident Technique in a relationship direction. By using the new technique, an analytic framework was developed that identifies three different kinds of switching determinants: pushing determinants, pulling determinant, and swayers. The new technique captures the configurations of the underlying factors that lead to revocable or irrevocable switching decisions. The study shows that these configurations are signals of switching, which provide useful knowledge for management and staff for policy and training purposes.

Given the growing competition in the global market, it is becoming increasingly important for companies to retain their existing customers, that is, to preempt frequent switching. A fruitful way of gaining knowledge about customers' switching behavior is to examine the role of various factors in their switching processes. This qualitative study, based on data from telecom operators, offers new insights by identifying and defining the role of prejudice in customers' rationale for leaving one telecom operator in favor of another. The research also identifies whether the customers are actively or passively engaged in the switching process, which seems to be important in terms of linking prejudice to frequent switching. The findings have important implications for the successful management of customer relationships because they point to instability in customer populations.

This article is about behavioral change in customer relationships. Changes in customer switching behavior are compared in five different service industries. Switching barriers and the competitive industrial situations in the comparison between industries also revealed changes in behavior in an industrial monopoly in which switching to alternative external service providers was not an option. This kind of switching was articulated as internal switching. The behavioral change was therefore assessed in terms not only of frequency but also of type of change. The switching ability to cause change, called configuration energy, even caused a change in behavior at the highest level in a noncompetitive industry in which there was a lack of switching alternatives. Total change was considered to be a result of the higher energy level driving the switching configuration than when the change was partial.

It is clearly recognized that service providers often have an incomplete and fragmentary understanding of their customers' relationship behaviors. Although it is clear that this incomplete understanding has serious implications for customer relationship management, and might even constitute a strategic risk, there have been no explicit attempts to analyze the phenomenon. The authors therefore introduce and develop the concept of the blind spot as a metaphor referring to situations where a service provider's visual field is obscured. The authors examine the phenomenon of blind spots in a temporal and a relational context, determine their consequences, and outline the implications for customer relationship management. A number of blind spot scenarios are presented in order to illustrate how blind spots obstruct the service provider's ability to make correct interpretations of customer relationships, and thereby also correct estimations of relationship stability. The conceptualization of blind spots as outlined in this article sheds light on the underlying mechanisms that drive customer behavior in terms of relationship stability and hence offers a deeper understanding of the dynamic nature of customer relationships. From a managerial point of view, proper monitoring systems and routines for analyzing relevant customer information play essential roles in understanding and managing blind spots.