During the early years of the World Wide Web, also commonly referred to as the internet, there was relatively little engagement between content providers and end-users, or between end-users. Although some specialized communities, such as newsgroups, approached the internet as an open, decentralized, participative platform, not many content providers really did. Communication occurred mainly in a top-down, one-to-many, centralized mode of content broadcasting. In many ways the internet remained similar to already existing media such as television or radio. This first era of development is now being referred to as web 1.0. The advent of Web 2.0 has been about embracing the inherently open and social characteristics of the internet. It supports a profound change in communication toward a many-to-many, decentralized format. The latter favors the emergence of bottom-up trends rather than the design of top-down, paternalistically imposed strategies and structures. Web 2.0 applications aspire to make maximal use of the level playing field for engagement offered by the internet, both technologically and socially (O’Reilly, 2005, 2006). The World Wide Web has thereby entered “the realm of sociality” (Bouman et al., 2007), where software becomes fused with everyday social life. Social software applications such as Wikipedia, Facebook and MySpace have all but become household names.
The explosive growth of the Internet has led to a dramatic increase in data sources for (competitive) technology intelligence. Appropriate implementation and use of IT tools to gather and analyze these data is of key importance for the creation of actionable technology intelligence. A strategy to optimize investments in the identified technologies becomes of paramount importance if an organization wants to match knowledge and ideas originating from outside of the organization with internal core competences. Such a strategy can create competitive advantage by effectively linking technology intelligence to open innovation.
We show how VIB, a life sciences research organization, has established technology intelligence processes to identify a multitude of external technologies of interest, which are subsequently “probed” for their potential and fit with VIB using real options reasoning, thereby supporting open innovation. Our methodology may be useful for other organizations which are considering implementing open innovation approaches.
Export search results
The export option will allow you to export the current search results of the entered query to a file. Different
formats are available for download. To export the items, click on the button corresponding with the preferred download format.
By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.
To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export.
The amount of items that can be exported at once is similarly restricted as the full export.
After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.