Market Launch of Smart Services

Leiting, Tobias; Schacht, Maximilian; Frank, Jana

doi:10.1007/978-3-030-58182-4_8

Cited by 1 publication

(2 citation statements)

References 27 publications

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“…Hence, we investigated other works which provided a business perspective on DDBM. From these models, we extracted further capability dimensions (e.g., 'value proposition' from Payne et al (2017) and 'sales and channel management' from Leiting et al (2020)). We then developed the matrix content (i.e., the capabilities per maturity level).…”

Section: Phase 3: Model Development and Artificial Evaluationmentioning

confidence: 99%

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Data or Business First?—Manufacturers’ Transformation Toward Data-driven Business Models

Stahl

Häckel

Leuthe

et al. 2023

Schmalenbach J Bus Res

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Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to physical products. However, this transformation can be complex, as different archetypes of data-driven business models require substantially different business and technical capabilities. While there are manifold contributions to research on technical capability development, an integrated and aligned perspective on both business and technology capabilities for distinct data-driven business model archetypes is needed. This perspective promises to enhance research’s understanding of this transformation and offers guidance for practitioners. As maturity models have proven to be valuable tools in capability development, we follow a design science approach to develop a maturity model for the transformation toward archetypal data-driven business models. To provide an integrated perspective on business and technology capabilities, the maturity model leverages a layered enterprise architecture model. By applying and evaluating in use at two manufacturers, we find two different transformation approaches, namely ‘data first’ and ‘business first’. The resulting insights highlight the model’s integrative perspective’s value for research to improve the understanding of this transformation. For practitioners, the maturity model allows a status quo assessment and derives fields of action to develop the capabilities required for the aspired data-driven business model.

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Section: Phase 3: Model Development and Artificial Evaluationmentioning

confidence: 99%

“…'Sales and channel management' is an essential capability for the effective distribution of the company's digital offerings. It includes the digitalization and adoption of new distribution channels, such as digital platforms, that are highly suited for offering DDBMs (Leiting et al 2020).…”

Section: Recommendation Providermentioning

confidence: 99%