Increased digitalization offers today's organizations novel opportunities to enhance value
propositions for customers, but also poses significant challenges for traditional businesses …

Across many industries we observe trends to change business models in favor of service
offerings (“servitization”) as well as trends to apply digital technologies for value creation …

The digital transformation has led to the rise of data-rich service systems, in which
organizations engage in data collection and analytics activities. Analytics-based services …

Zusammenfassung Im Zuge neuer, digitaler Geschäftsstrategien untersuchen Unternehmen
zunehmend, wie Daten und Analyseverfahren eingesetzt werden können, um ihre Produkte …

Software projects rely on what we call project archetypes, ie, pre-existing mental images of
how projects work. They guide distribution of responsibilities, planning, or expectations …

Analytics-based services (ABS) apply analytical methods to data in order to enable
customers to make better decisions and solve more complex problems. While it is widely …

Commonly referred to as data-driven product development, incorporating data science into
product development to create value out of sensor data is a key challenge and involves …

Due to the growing importance of data-driven innovation, multiple streams of literature that
offer varying definitions and frameworks for using data and analytics in innovation have …

Die systematische Nutzung interner und externer Daten zur Generierung eines neuen
Wertversprechens für Kunden stellt ein wichtiges Fähigkeitsprofil innerhalb der …

The services sector is the fastest-growing and most dominant sector of the European
economy (Rubalcaba, 2012). As the total volume of data grows exponentially, information …