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5.1 Discussion of the results

The identified function clusters’ content has been examined to determine the primary purpose, offering and expected relationship between the service provider and the customer. The aim was to recognise features of the observed service subsystems that required particular attention during the service design phase, which might in turn influence service provision. The subsystems were presented as service bundles and named as follows: Cluster 1 – Operational Services, Cluster 2 – Transactional Services, Cluster 3 – Performance Services and Cluster 4 – Outlier.

The identified service clusters formed service bundles in which the offerings had varying emphasis on co-creation and orientation in terms of service provision. Cluster 1 included key functions for managing data and connecting service provision networks. It also included planning services to allow access to customer processes, which were advantageous in controlling the service provision networks. The basis for Cluster 1 was also able to be linked to Cluster 4 – Outlier. Cluster 2 was characterised by typical operational services such as product supply activities. This model focused on service integration and solution provision without interaction with the end customer. Cluster 3, which involved maintenance services, was a complex entity because its functions were elements of a continuous process. This cluster also included a central activity, F10, which connected the other functions to a wider service solution to create a local service integration model.

The conducted regression analysis showed that perceived importance of the provision of a solution service bundle had significant impact on the potential value of the service’s reliability and assurance. No similar effect could be found among the other service clusters. It was concluded that overall, the analysed function portfolios consisted of different layers on which

service bundles had local hubs connected to larger, integrated service models. The analysis also revealed that a service network needs global hubs, or service integrators, that are able to co-ordinate information about the service process throughout the network. This conclusion was further supported by the key functions of each cluster, which were connected to the central function of the network but not necessarily to the other cluster hubs. From the perspective of service modularity, the local networks could be separated from the larger network without affecting their value creation potential, whereas systems lacking a global actor collapsed.

Through this, it can be determined that systemic value functions operate on multiple levels, both locally and globally.

5.2 Theoretical implications

A complex product and service portfolio providing network maintenance services has been examined to bring practical evidence to the theoretical observation of the systemic nature of customer value (Lusch et al., 2010; Pynnönen et al., 2011). The main contribution of this paper is its systematic analysis of value creation mechanisms in complex service solutions (Englis and Solomon, 1996; Ennen and Richter, 2010; Epp and Price, 2011; Lusch et al., 2010;

Normann and Ramirez, 1993; Shocker et al., 2004; Vargo et al., 2008; Dass and Fox, 2011; De Rosa et al., 2013). The contributing SD logic demonstrates that value created collaboratively relates to specific circumstances in which a business relationship impacts customer performance directly, rather than serves as a general feature of service provision. Key relationships have been recognised in the present study as connecting different service operation models (e.g. Windahl and Lakemond, 2010; Helander and Möller, 2007). These connections transfer information from one process to another. It is therefore proposed that the existence of these links either enables or disables the functioning of the service system; inefficient design or a lack of key connections can create bottlenecks in service processes or disable the fluent

communication between partners. Thus, well-designed connections allow service providers a competitive advantage through the ability to control key network points.

5.3 Managerial implications

In the present study, systemic service functions were categorised into two types: local and global (Ulrich, 1995). Local service functions connect with similar service functions to form service bundles, and global service functions connect these bundles together. Analyses of local service functions reveal that to achieve integration on the solution level, a global service function requires the design of interfaces and platforms among and around the local service functions. This is especially important during the designing phase of the solution. The present study’s analysis also identified eight service functions (F3, F9, F10, F11, F12, F13, F14, F15), which by definition could be called systemic service functions. These were found to be significant to customers (based on importance) and also strongly connected to other service functions in the solution, making them powerful within the system. All but one of these systemic service functions were related to Cluster 2 , driving the value expectation of customers.

The present results show that although the service functions in company products and service portfolios are uniquely important to the customer, they also form a complex, interconnected value system. Within this value system, connections between certain service functions are stronger and more influential in creating customer value than are others; these may all be found around the domain of customer problems. These findings are in line with the results of previous research (Windahl and Lakemond, 2010). According to these findings, activities related to co-creational relationships and long-term responsibilities to customer process quality value have the most influence on customers’ value expectations. Hence, the value generated by relationship attributes is most relevant to continuous supporting services, but it has a lesser role in strategic design or project services.

5.4 Limitations and further research

The limitations of the present study should be taken into consideration when applying its results.

First, the data used for the network analysis only reflected customer views on the value creation mechanisms of one company product and service portfolio. The results indicate that the value to the firm lay in its different service functions, and that the system of relationships exhibited these differences as well. This perceived value is subjective, and as such the different service functions deliver value to the provider rather than the customer. This is something that future research should address in studies of systemic customer value, or value provision and capture in general. Second, the statistical correlations observed between service functions as shown in the distributed customer survey were used as the basis of the present analysis. It might be useful in future study to measure these relationships directly. This would not be an easy task, but would serve to explain the phenomenon more completely. Third, the data collected in the present study represents the total customer base of the provider, but it may be that there are different preference profiles within that population. This would mean that the value system would change according to the different profiles. As a final conclusion of this study, the value creation logic of the integrated solutions, in further studies, should be analysed from multiple perspectives and in holistic manner.

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