During a service interaction, a customer should be viewed as having three distinct capacities: as a client, as a connection and as a resource. In each of these respective capacities, service (S) processes, relationship (R) processes and loyalty (L) processes create value for both customers and organizations. Satisfactory service is the minimum requirement for relationship processes to be effective and for the connection capacity to be activated. Likewise, high relationship quality is a minimal condition for loyalty processes to be effective and for the resource capacity to be activated. After presenting the measurable and actionable dimensions of relationship quality, I explain the difference between service processes and relationship processes. According to the service integrated relationships (SIR) framework, when relationship processes are integrated with existing service processes: (a) relationship quality improves; (b) loyal customer behaviours are evoked; and (c) service satisfaction improves. I conclude by discussing implications of the SIR framework for organizational systems and service employees.
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Within large service organizations there are currently two trends visible. These trends seem to be diametrically opposed. On the one hand organizations face increasing price pressure and thus a pressure to cut costs. One of the consequences of this trend is that organizations are increasingly encouraging customers to make more use of digital communication channels. At the same time, companies find it important to know their customers in order to respond adequately to their needs. To do this, organizations must have a certain degree of personal involvement to their customers and they must have regular personal contact. It is assumed that both trends – digitisation and personalisation – will have a strong impact on customer experience and (perhaps) on the relational models customers use. If it is true that relational models - so the way in which people perceive and assess a relationship - play a role in the perception of the customer, it is also interesting to know if it is possible to influence these relational models. During the last fifty years much research has been done into the possibilities to influence customers by using subliminal priming techniques. In these techniques thoughts and feelings are unconsciously activated by showing people certain words or images (eg Bargh, Chen & Burrows, 1996; Dijksterhuis, 2005). In recent years a number of experiments were performed in which customers were unconsciously primed at some type of relationship (eg Aggarwal, 2004; McGraw & Tetlock, 2005; Tuk, Verlegh, Smidts & Wigboldus, 2009). These experiments showed that it is possible to activate a certain type of relationship. The experiments however the researchers used scenario’s based on an interpersonal relationship, and often to a fictitious relationship. The question is whether priming techniques also work for an already existing and more complex relationship between an organization and its customers. From 2010-2013 we conducted research for six large service providers in banking, insurance, utilities and social welfare to discover what the customer experience of these organisations, what role relational models played in customer experience and whether it was possible to influence these relational models. The research project has provided answers to the following questions: - Which relational models are used by customers and what is the influence of these models on customer experience? - What is the influence of digitisation in customer communication on relational models and customer experience? - What is the influence of personalisation in customer communication on relational models and customer experience? And finally, - Is it possible to influence relational models (and customer experience) by using specific words and images that are associated with relational models (relational framing)?
Customer-supplier relationships are becoming more digital. However, a personal approach still seems to be a key success factor in the service journey, creating an optimal customer experience. In this research, we investigated the effects of a personal communication approach on customer experience and customer relationship. The personal touch was operationalised in two studies focusing on written forms of communication (Study 1) and spoken forms of communication (Study 2) amongst customers of an energy company. Both studies show that a personal tone of voice in customer contact results in a more positive customer experience (in terms of consumption emotions, customer satisfaction and recommendation intention). However, it does not impact the long term relationships between service provider and customers. Customers do not adjust previously built relationship norms when they are approached in a more or less personal way, as long as the chosen approach does not violate relationship norms. The research is relevant for organisations interested in the effects of a more personal approach in customer contact. The paper combines existing theories on customer experience and customer communication with the existing theories on relational models.
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Globalization has opened new markets to Small and Medium Enterprise (SMEs) and given them access to better suppliers. However, the resulting lengthening of supply chains has increased their vulnerability to disruptions. SMEs now recognize the importance of reliable and resilient supply chains to meet customer requirements and gain competitive advantage. Data analytics play a crucial role in developing the insights needed to identify and deal with disruptions. At the company level, this entails the development of data analytic capability, a complex socio-technical process consisting of people, technology, and processes. At the supply chain level, the complexity is compounded by the fact that multiple actors are involved, each with their own resources and capabilities. Each company’s data analytic capability, in combination with how they work together to share information and thus create visibility in the supply chain will affect the reliability and resilience of the supply chain. The proposed study therefore examines how SMEs can leverage data analytics in a way that fits with their available resources and capabilities to improve the reliability and resilience of their supply chain. The consortium for this project consists of Breda University of Applied Sciences (BUas), Logistics Community Brabant (LCB), Transport en Logistiek Nederland (TLN), Logistiek Digitaal, Kennis Transport, Smink and Devoteam. Together, the partners will develop a tool to benchmark SMEs’ progress towards developing data analytic capability that enhances the reliability of their supply chain. Interviews will be conducted with various actors of the supply chain to identify the enablers and inhibitors of using data analytics across the supply chain. Finally, the findings will be used to conduct action research with the two SMEs partners, Kennis and Smink to identify which technological tools and processes companies need to adopt to develop the use of data analytics to enhance their resilience in case of disruptions.
