Abstract
Servitization is now widely recognised as the process of creating value by adding services to products. A cornerstone of any servitization strategy is that ownership of the product or asset does not transfer to the customer. Rather, the customer purchases a service or capability with the asset being used to deliver that service or capability. The bulk of the research to date seeks to understand how traditional manufacturers might deliver integrated products and services with greater efficiency and effectiveness. One area that has not been addressed is the customer implications as a result of high quality data now not being available to them. This paper will explore the data quality issues emerging through the Servitization transformation. Implications for customers will be highlighted using a proposed framework developed from the data quality literature.
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Peppard, J., Koronios, A., Gao, J. (2010). The data quality implications of the servitization - theory building. In: Kiritsis, D., Emmanouilidis, C., Koronios, A., Mathew, J. (eds) Engineering Asset Lifecycle Management. Springer, London. https://doi.org/10.1007/978-0-85729-320-6_27
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DOI: https://doi.org/10.1007/978-0-85729-320-6_27
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