Refine
Year of publication
- 2020 (2) (remove)
Document Type
- Conference Proceeding (1)
- Working Paper (1)
Language
- English (2) (remove)
Is part of the Bibliography
- no (2)
Keywords
- Digitaler Schatten (1)
- Industrie 4.0 (1)
- Internet of Production (1)
- Lean Services (1)
- Lean Services 4.0 (1)
- case study research (1)
- data value (1)
- data value assessment (1)
- smart product service systems (1)
Institute
Today, however, agility is seen more than ever as a critical success factor for companies. In times of an increasing degree of digital interconnection and minimum viable products, a mentality is entering the industrial service sector that has so far only been exemplified by Internet companies (e.g. Google): New products and especially digital services are developed in highly iterative processes. To this end, customers are involved in early test phases of development and provide feedback on individual functional modules, which – in contrast to the previous approach – are only gradually assembled into a market-ready “100 percent version”. But especially with the development of new digital services, companies must ensure more than ever that both the existing analog service business and the design of new digital services are geared to effectiveness and efficiency in order to meet the growing demands of customers and competitors.
To achieve this, companies must not only be familiar with the products currently on the market, but also master the entire product history, which in some cases goes back more than 30 years and varies greatly from one industry to another.
This paper contributes to an assessment framework for valuing data as an asset. Particularly industrial manufacturers developing and delivering Smart Product Service Systems (Smart PSS) are comprehensively depended on the business value derived by processing data. However, there is a lack in a framework for capturing and comparing the Smart PSS data value with the purpose of increasing the accountability of data initiatives. Therefore a qualitative data value assessment approach was developed and specified on Smart PSS, based on an industrial case study research. [https://link.springer.com/chapter/10.1007/978-3-030-57997-5_39]