Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services
Year: 2019
Type: article
Abstract: In recent years organizations have started utilizing big data andadvanced analytics not just to support decision-making to raise processefficiencies, but also to engage in new data-driven services. These data-drivenservices complement the current product and service portfolio and createadditional value for customers. In order to capture the value created,organizations need to design sustainable revenue models consisting of a revenue(how) and pricing (how much) mechanism. In order to develop a deeperunderstanding of one part of the decision-making process on revenue models, weapply a qualitative study and analyze the results through the lens of rationalchoice theory. Based on the interviews, we derived four factors – servicecharacteristics, provider interests, customer interests, and market factors -influencing the design. By this, we contribute to the general understanding of thedesign of revenue models and enable further investigation into this field ofresearch.
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2965456647