Research Insights

Does “eureka” still ring true in the algorithmic age? This paper investigates algorithmic design and its impact on idea generation. The use of algorithms transforms knowledge work processes, redefining experts’ roles across industries. While experts are typically viewed as the cornerstone of knowledge work, an emerging debate is underway about whether expertise is still necessary in the idea generation process for creativity and innovation. Integrating creativity, expertise i

Creativity depends on individuals’ willingness to invest in their novel ideas early in the creative process. Burgeoning research on idea evaluation suggests that while people can identify their novel ideas, they may reject them because they are risky and uncertain. Selecting novel ideas is crucial at the earliest phase of the creative process, in which individuals may evaluate several generated ideas to identify those they want to develop and share with others. To uncover whe

Successfully navigating through critical uncertainties during the incipient stages requires new ventures to develop learning systems, and building the right team may be key in this process. Drawing on prior work indicating that entrepreneurial teams form using either an interpersonal-attraction strategy (relationships with similar others in a close network) or a resource-seeking strategy (instrumental focus on complementary skills), we theorize that a dual formation strategy,

Entrepreneurial team formation—the process through which founders establish a team to start a new venture—has important implications for team performance and entrepre- neurial success. Although research on entrepreneurial team formation is gradually growing, it is at a critical juncture and marked by considerable fragmentation. In part, this is because scholars have examined entrepreneurial team formation through different disciplinary lenses and within very different context