A major condition for commercial success is a well-defined pricing strategy, however, cloud service providers face many challenges around pricing. Clearness and transparency in pricing is beneficial for all the actors in the ecosystem, where the currently existing abundance of different pricing models makes decision making difficult for service providers, partners, customers and competitors. In this paper, the SBIFT pricing model is evaluated and updated to cloud context. As a result, a 7-dimensional cloud pricing framework is proposed that helps clarifying the possible pricing models in order to let companies differentiate themselves from competitors by price. The framework can be used also as a tool for price model development and communication about cloud pricing. The taxonomy is based on a broad literature review and empirical research on currently used pricing models of 54 cloud providers.
Blockchain technology and distributed ledger technology (DLT) offer a secure, distributed, and tamper-proof way to store and exchange information. However, apart from standard cryptocurrency-based networks, innovations and process improvements based on the blockchain technology have mostly remained on the conceptualizing stage and have not yet reached mass adoption. There is a high demand for practical experiences from developing blockchain and DLT based systems in various domains outside FinTech. This work seeks to contribute to this gap by presenting real-world experiences from developing a proof of concept for automatizing conditional payments in social benefits and healthcare domains. We found that the key conditions for making these blockchain-based solutions viable are (1) attaining technological maturity and competences, (2) ecosystem thinking and adequate governance of these ecosystems, and finally (3) achieving legal and regulatory predictability. Furthermore, we discuss technological choice, business, and ethical considerations relevant to practitioners and research communities.
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