Problemistic search theory, with its roots in the Carnegie School tradition, describes a
behaviorally plausible process by which firms learn from performance feedback. A firm's …

Artificial intelligence (AI) provides ample opportunities for enabling effective knowledge
sharing among organizations seeking to foster open innovation. Past research often …

Search and recombination are important mechanisms in the creativity phase of innovation.
Digital transformation and the resulting pervasive digitalization of the innovation function …

In steering toward the future, innovation managers are commonly advised to dismiss the old
and make way for the new. However, such “recency bias” may significantly limit a firm's …

Organizations increasingly use artificial intelligence (AI) to solve previously unexplored
problems. While routine tasks can be automated, the intricate nature of exploratory tasks …

Prior research indicates that search practices are an important part of the innovation
process. But where established firms search for different innovation types is not clear …

In their search for innovation, organizations often invite suggestions from external
contributors. Soliciting suggestions is a form of distant search, since it allows organizations …

While electric vehicles (EV) can perform better than conventional vehicles from an
environmental standpoint, consumers perceive them to be more expensive due to their …

This paper examines one of the most important sources of competitiveness in dynamic
industries—the capability of firms to introduce process innovations. While the management …

Search for external knowledge is vital for firms' innovative activities. To understand search,
we propose two knowledge search dimensions: search space (local or distant) and search …