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There is a growing interest in utilizing digital services, such as softwareapps and cloud-based software services. The utilization of digital services isincreasing more rapidly than any other segment of world trade. The availabilityof open data unlocks the possibility of generating market possibilities in thepublic and private sectors. Digital service utilization can be improved byadopting cloud-based software services and open data innovation for servicedevelopment. However, open data has no value unless utilized, and little isknown about developing digital services using open data. Evaluation of digitalservice development processes to service deployment is indispensable. Despitethis, existing evaluation models are not specifically designed to measure opendata innovation contests. Additionally, existing cloud-based digital serviceimplications are not used directly to adopt the technology, and empiricalresearch needs to be included. The research question addressed in this thesisis: "How can contest-driven innovation of open data digital services beevaluated and the adoption of digital services be supported to improve theutilization of digital services?" The research approaches used are designscience research, descriptive statistics, and case study. This thesis proposesDigital Innovation Contest Measurement Model (DICM-model) and Designing andRefining DICM (DRD-method) for designing and refining DICM-model to providemore agility. Additionally, a framework of barriers constraining developers ofopen data services from developing viable services is also presented. Thisframework enables requirement and cloud engineers to prioritize factorsresponsible for effective adoption. Future research possibilities areautomation of idea generation, ex-post evaluation of the proposed artifacts,and expanding cloud-based digital service adoption from suppliers'perspectives.

Improving the Utilization of Digital Services - Evaluating Contest - Driven Open Data Development and the Adoption of Cloud Services