While extensive research studies exist on the influence of AI solutions on organizations as a whole, there is a paucity of comprehensive studies examining the adoption of these solutions in product development and subsequent management processes. This article presents an exploratory...

We consider a model of innovation that distinguishes between ideas and innovations. While innovation responds to incentives, ideas are a scarce resource that provide an exogenous constraint on the rate of innovation. We investigate how the optimal reward structure is shaped by the scarcity of...

As the expenses associated with new product development (NPD) continue to rise, intellectual capital (IC) plays a critical yet understudied role in influencing NPD performance (NPDP). To address this, we present a comprehensive theoretical framework to empirically analyze how IC provides...

There is a growing recognition that firms increase their collaboration breadth by opening their boundaries to more innovation partners, sourcing and integrating complementary knowledge, skills, and resources and, in turn, improving their innovation performance. However, not all firms benefit...

Using our own data on Artificial Intelligence publications merged with Burning Glass vacancy data for 2007-2019, we investigate whether online vacancies for jobs requiring AI skills grow more slowly in U.S. locations farther from pre-2007 AI innovation hotspots. We find that a commuting zone...

Frugal innovation, a new paradigm suitable for start-ups to promote innovation with restrained resources, has proliferated over the past decade. However, a comprehensive analysis of the factors affecting frugal innovation during the entrepreneurial process is lacking. To fill this gap, this...

In organizations, the success of innovation efforts in improving performance relies heavily on entrepreneurial passion and the perceived importance of innovation. Understanding the link between deliberate practice and innovation broadens our current knowledge, emphasizing entrepreneurial passion...

This study aims to identify generative AI (GenAI) applications and develop a roadmap for the near, mid, and far future. Structural topic modeling (STM) is used to discover latent semantic patterns and identify the key application areas from a text corpus comprising 2,398 patents published...