Data Canvas und Data-Need Fit – Daten für neue Geschäftsmodelle nutzen

Mathis, Katrin; Köbler, Felix

doi:10.1007/978-3-658-21214-8_20

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Developing a compelling value proposition requires data, analytics, and customer-facing capabilities (Meierhofer et al, 2019) and thus combining business and data science expertise (Hagen & Hess, 2021;Mathis & Köbler, 2016). This development is challenging for organizations new to data and analytics, as respective competencies may not yet exist in the companies.…”

Section: Designing Data-driven Servicesmentioning

confidence: 99%

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Breitfuss,

Santa-Maria,

Fruhwirth

et al. 2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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Using data can significantly improve service design and development. However, for businesses, developing data-driven services can be challenging. To address this, we have developed the Data Service Cards (DSCs), a card-based tool to inspire the design of data-driven services. This paper presents two cycles of a design science research (DSR) project, focusing on the second cycle of redesign and evaluation of the DSCs. We conducted a two-step evaluation, including surveys and external expert ratings of data-driven service ideas. Survey results indicate that the DSCs are a valuable tool for developing data-driven services and external experts consider services designed using DSCs to be of higher quality. With the DSCs, we provide practitioners with a tool that facilitates and improves service design and supports digital transformation. Further, we contribute to DSR literature with a rigorous experimental procedure and to service innovation by supporting the early stages of data-driven service innovation.

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Section: Designing Data-driven Servicesmentioning

confidence: 99%

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Breitfuss,

Santa-Maria,

Fruhwirth

et al. 2023

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…In spite of the growth of data, many firms do not have strategies to use big data effectively [52,53], and thus are failing to benefit from integrating big data into their business models [54,55]. In response, a substantial number of studies have attempted to manage big data from the perspective of business model innovation, however, scholars have paid limited attention to the nature of the platform.…”

Section: Business Management Area For Data-driven Business Model Inno...mentioning

confidence: 99%

Roadmap Incorporating Data Management Perspective for Platform Business Model Innovation

Han

Jeon

2023

Sustainability

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In recent business environments data has become crucial, especially in the platform business where advances in digital technology continuously increase the platform’s value by facilitating user engagement and transactions that strengthen network effects and enhance the ability to access and analyze vast amounts of data. An important challenge for platform firms is, therefore, to establish a business strategy to address data-related issues for a sustainable competitive edge. However, research is surprisingly sparse to incorporate a data management perspective into a business model roadmap which has been widely used as a strategic management tool. In this paper, we argue that the platform business model roadmap integrating a data management perspective supports platform firms in identifying a change of direction and potential gaps that are aligned with the current and future context in terms of sustainability. The purpose of this paper is to suggest a concept of the platform business model roadmap and identify what structure should be incorporated considering the virtuous cycle of the platform and data. An in-depth discussion of the suggested platform business model roadmap is expected to be of high value in terms of practicality for the platform’s sustainable growth.

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BigDieMo – Ein methodischer Baukasten zur Gestaltung von datenbasierten Dienstleistungen

Hunke

Seebacher

Schymanietz

et al. 2021

Dienstleistungsinnovationen Durch Digitalisierung

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Data Canvas und Data-Need Fit – Daten für neue Geschäftsmodelle nutzen

Cited by 3 publications

References 5 publications

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Use Your Data: Design and Evaluation of a Card-Based Ideation Tool for Data-Driven Services

Roadmap Incorporating Data Management Perspective for Platform Business Model Innovation

BigDieMo – Ein methodischer Baukasten zur Gestaltung von datenbasierten Dienstleistungen

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