Value Co-Creating Decision Support Services from Iceye's SAR Satellite Data
Björklund, Sam J. (2018)
Yrkeshögskolan Arcada
2018
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2018102816297
https://urn.fi/URN:NBN:fi:amk-2018102816297
Tiivistelmä
The aim of the research was to explore future usage of Iceye’s SAR data, and analyse what implications this potential usage should have on Iceye’s operations and business today. And, investigate how Iceye could develop services with potential customers. The research was carried out in the form of an Innovation Boot Camp, following Futurice: Lean Service Creation method (LSC). The material gathered during the Innovation Boot Camp presented themes, topics and answers in correlation to the stated research questions:
1. What kind of decision support services could be developed from Iceye’s SAR data? 2. In what way could Iceye value co-create services with potential customers?
3. Does Iceye’s SAR data influence their business network?
The research results functioned as the base for the thematic analysis, that branched off to answer the three research questions. The research questions were divided into three separate themes: big data & analytics, value co-creation and business networks. The main findings were, that the kind of decision support services most likely to be developed from Iceye’s SAR data, are services that merge data.
By using a method like the LSC, new service concepts can be developed through a value co-creation process. This process takes place in a joint value co-creation sphere, where the provider and the customer can through interaction create value prepositions. The data Iceye’s systems gather and process influences their business network, by having certain technological requirements. The data also impacts the business network with its unique content, which is a unique resource for the whole network.
1. What kind of decision support services could be developed from Iceye’s SAR data? 2. In what way could Iceye value co-create services with potential customers?
3. Does Iceye’s SAR data influence their business network?
The research results functioned as the base for the thematic analysis, that branched off to answer the three research questions. The research questions were divided into three separate themes: big data & analytics, value co-creation and business networks. The main findings were, that the kind of decision support services most likely to be developed from Iceye’s SAR data, are services that merge data.
By using a method like the LSC, new service concepts can be developed through a value co-creation process. This process takes place in a joint value co-creation sphere, where the provider and the customer can through interaction create value prepositions. The data Iceye’s systems gather and process influences their business network, by having certain technological requirements. The data also impacts the business network with its unique content, which is a unique resource for the whole network.