English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Given the possibilities of the Internet of Things (IoT), industrial products are now able to connect suppliers and customers. Product-based data are created at all stages of the product lifecycle. These data open up opportunities for suppliers to develop new data-based service models that create new customer benefits, which can ultimately be monetized through new digital business models. But what approaches add real value for the supplier and are thus worth the implementation effort? This study examines what service models are promising for small and medium-sized enterprises (SMEs) in the machinery, plant, electrical and metal industries. Ten service models were identified that offer companies a generally high added value, but differ partly in terms of their implementation efforts. The preferred revenue models with which the service models can be monetized were found to depend on the service model itself and on the industry. Overall, the probability of realization for the data-based service models and the associated digital business models within the next three years was assessed as still moderate.

Welche datenbasierten Servicemodelle sind erfolgsversprechend für KMU der Maschinen‑, Anlagen‑, Elektro- und Metallindustrie?