Towards a Method for Utilizing Value-based pricing on Smart Services

Abstract: Purpose - The purpose of this thesis was to develop a method for how practitioners can utilize value-based pricing of smart services. In order to fulfill this purpose, the following research questions were addressed: RQ1) How can firms identify value drivers for their smart services in order to understand customer perceived value? RQ2) How can firms match the perceived value of their smart service and what type of revenue model to use (i.e., how to price and how much to price)? RQ3) How can firms use value-based pricing for calculating the optimal price of their smart service? Method - This thesis adopts a mixed method. This is done by collecting data through interviews and surveys. This data is then analyzed and utilized to develop a method for value-based pricing of smart services.  Findings - Based on the insights gathered through the explored methods for identifying and measuring value drivers, concluding customers’ willingness to pay, matching it with revenue and pricing mechanisms and finally deriving an optimal price a holistic and structured process that connected these different activities has been proposed (see Appendix S). Theoretical contribution - The major theoretical contribution is the synthesis of three different literature streams (i.e., VBP, revenue model design and smart service commercialization). These areas have, to our knowledge, previously never been integrated in one study. In addition, the developed method successfully addresses identification of value drivers, which previously has been labeled as the biggest barrier for B2B firms wanting to transition towards VBP (Liozu et al., 2012).  Practical implications - This thesis supports management in commercialization of smart services by providing a holistic and systematic process for identifying and measuring value drivers, concluding customers’ WTP, matching it with revenue and pricing mechanisms and finally deriving an optimal price based on VBP. The final developed method is presented in Appendix S.