No abstract

In the turbulent world of e-commerce, companies can only survive by continuously reinventing their business models. However, because most studies look at business models as snapshots in time, there is little insight into how changing market-related, technological and regulatory conditions generally drive revisions in business models. In this paper, we examine which types of external drivers are strongest in forcing business models to change throughout their life cycle. To do so, we study 45 longitudinal case descriptions on business model dynamics of (networks of) organizations in various industries. The results of this survey indicate that technological and market-related forces are the most important drivers of business model dynamics, while regulation plays only a minor role. In particular for start-ups, the effect of technological and market-related drivers is the strongest in the early stages of a new business model, while the effects are moderate over time for established, large companies. Our results provide clues to practitioners on what external factors to take into account in different stages of business model design and redesign.

No abstract

No abstract

No abstract

No abstract

No abstract

Social media are an important space for people to discuss novel policy innovations. In particular, Twitter, whose user base is skewed toward those who disproportionately affect news coverage, and by extension the public agenda, represents a particularly useful platform for policy advocates wishing to grow their audience. This article extends theoretical understandings of information flows and the growth of networked discussion spaces by examining the online discussion space around a Universal Basic Income (UBI), which has been proposed to alleviate social tensions relating to joblessness resulting from technological advances. Using content analysis and statistical methods, we show that tweets in the UBI discussion space that inform others are the most likely to be shared, but tweets that emotionally resonate with users are the most likely to reach new audiences and therefore bring new actors into the discussion space. These findings contribute to the literature on viral events and dynamic networks, providing insight into how policies like UBI are discussed and diffuse on social media platforms like Twitter.