Department of Business Development and Technology

Troels Christian Andersen

Facilitating Data Driven Business Model Innovation - A Case study

Research output: Contribution to conferenceConference abstract for conferenceResearch

This paper aims to understand the barriers that businesses meet in understanding their current business models (BM) and in their attempt at innovating new data driven business models (DDBM) using data. The interdisciplinary challenge of knowledge exchange occurring outside and/or inside businesses, that gathers knowledge is of great importance. The SMEs have little, if no experience, within data handling, data analytics, and working with structured Business Model Innovation (BMI), that relates to both new and conventional products, processes and services.

This new frontier of data and BMI will have an impact on businesses in the following years [1]where the intensity of pursuing the value of data is in focus. However, the value extracted from the data and the value of making a structured approach in businesses is not the only concern for making data the new oil.

The BM Ecosystems and businesses ability to adapt these new DDBM depends on the ability to pick up, share and develop knowledge between customers, partners and the network. This knowledge can be embedded into core BMs and constitutes a strategic opportunity enabling businesses to extract value from data into BMI, resulting in DDBMs.

The businesses interdisciplinary capabilities come into play in the BMI process, where knowledge from the facilitation strategy and knowledge from phases of the BMI process needs to be present to create new knowledge, hence new BMs and innovations. Depending on the environment and shareholders, this also exposes core BMs, through the downloading, seeing and sensing phase of the BMI. This fact inhibits the sharing- and quality of knowledge. This in turn is limiting knowledge to narrow view and not other persons-, technical-, organisational-, and user/customer knowledge [2].
The outcome does not release the full knowledge within the field of BMI and will limit the innovation process in relation to DDBM for the business.

The paper addresses the barriers of knowledge sharing in BMI environments related to development of DDBM. It identifies the knowledge that needs to be present in the different phases of the BMI process and if this depth of knowledge is captured in the active facilitation strategy?
Translated title of the contributionFacilitering af Data Dreven Forretningsmodel Innovation
Original languageEnglish
Publication year25 Jan 2016
Number of pages3
Publication statusPublished - 25 Jan 2016

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