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| Author: | Staravoitava, Lizaveta |
| Title: | A Data-driven Method for Service Innovation Process |
| Publication type: | Master's thesis |
| Publication year: | 2016 |
| Pages: | 64 s. + liitt. 12 Language: eng |
| Department/School: | Perustieteiden korkeakoulu |
| Main subject: | Service Design and Engineering (SCI3022) |
| Supervisor: | Saikkonen, Heikki |
| Instructor: | Razavian, Maryam ; Buija, Joos ; Kok, Ewoud de |
| Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201611025345 |
| Location: | P1 Ark Aalto 4770 | Archive |
| Keywords: | data-driven innovation process customer |
| Abstract (eng): | Innovation is a driver of the success of the company. Especially now when competition is high due to the digitization of value propositions and a favorable price strategy is no longer a competitive advantage. Therefore a company needs an established systematic approach to the innovation process, which leads to a customer-oriented solution. It requires customer involvement in the process as a source of customer knowledge. It opens opportunities for adjusting current innovation processes with data-driven methods, which are applied to received customer knowledge and used to monitor and improve the solution. We created a customer-focused method of carrying out the innovation process driven by data. The method tends to solve the problem of unjustified design decisions throughout the innovation process at the example of FeedbackFruits. To do so we used TAR (technical action research) approach in this work. TAR implies the consideration of the problem from research and industry perspectives. The research took place in four phases. Interviews and observations were applied to the problem discovery phase. As the result, the current innovation process AS IS and opportunities for its improvement were discovered. The market of education, where the company operates, poses constraints but also open up new opportunities for customer involvement in the process and developing out value-driven innovation. The systematic literature review (SLR) of the innovation process and a role of data in it was conducted for the design phase. It was an input for the innovation process framework and the intended innovation process TO BE. Specific data analytics techniques, such as behaviour alignment and activity usage overview, were introduced to the intended process TO BE as an indication of a data-driven approach to service innovation. Finally, the implementation phase aimed to validate the feasibility of the suggested intended process TO BE for the company. The focused group interview was conducted at the company in order to evaluate the results of the research. The suggested data-driven innovation method is efficient and effective in the long run. However, it was concluded that the company does not have required knowledge and experience to implement it right away. Further research was defined to facilitate the knowledge intensive implementation of the method. |
| ED: | 2016-11-13 |
INSSI record number: 54877
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