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This research briefing describes the organizational capability of scaling at scale, which we define as enabling multiple digital innovation initiatives to realize bottom-line value from their innovation by leveraging shared resources. We illustrate this concept with a case study from global multi-energy company Repsol, which implemented scaling at scale to cultivate a portfolio of more than 450 initiatives and helped over seventy percent of initiatives to reach the scale-up stage. As a result, over five years Repsol realized €800 million of bottom-line value from digital innovations.
To generate greater value faster from digital innovation, many companies are increasing how much they learn from their own innovation efforts. However, in many companies, these changes are limited to one stakeholder group: innovation teams. Two other stakeholder groups, senior executives and experts from corporate functions, also need to learn from digital innovation initiatives. We have defined three learning imperatives that address a company’s needs to learn continually about building (1) a successful innovation, (2) a portfolio of initiatives that realizes strategic objectives faster, and (3) shared resources that propel multiple initiatives. All three imperatives involve collecting data regularly from digital innovation initiatives. In this research briefing we outline the three learning imperatives and provide examples of how companies are pursuing them to achieve strategic objectives more effectively and efficiently.
The unprecedented acceleration in the dynamics of economic development and its dependence on global interactions makes predicting the future especially difficult. Nevertheless, an examination of long-term trends provides an opportunity to begin a discussion about what reality could await us tomorrow and how we want to deal with it. With this food-for-thought paper, the member institutes of the Fraunhofer Group for Innovation Research wish to present a selection of the trends that are destined to have a significant impact on innovation systems in the period leading up to 2030. Based on these trends, the paper derives theses for innovation in the year 2030 and describes the resulting tasks for business, politics, science and society.