2022
DOI: 10.1007/s12525-022-00568-6
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Automated identification of different lead users regarding the innovation process

Abstract: Lead users are often established in an organizational innovation process to attenuate the difficulties a company faces, such as high costs or the obscurity of customers’ needs. But to benefit from these lead users a major challenge is to characterize and identify them especially in the fast-moving world of social media. Therefore, we aim to design a tool to identify lead users automatically for the two innovation phases (“Idea generation” and “Development”) by combining different approaches such as social netw… Show more

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Cited by 5 publications
(2 citation statements)
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References 77 publications
(207 reference statements)
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“…Von Hippel and Kaulartz (2021) combined semantic models with semantic network analytic methods to identify material relevant to an innovation concept, and obtained the user innovation by a manual filter. Schmid et al (2022) weighted the characteristics of users based on the occurrence of each character in the current research literature and selected lead users using overall scores. Although artificial intelligence technologies offer new possibilities for companies to identify lead users (Bhimani et al, 2019), researchers struggle to build a cohesive body of knowledge from these data‐driven approaches, and conclusions drawn from the technologies may not apply to a general audience (Shin et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Von Hippel and Kaulartz (2021) combined semantic models with semantic network analytic methods to identify material relevant to an innovation concept, and obtained the user innovation by a manual filter. Schmid et al (2022) weighted the characteristics of users based on the occurrence of each character in the current research literature and selected lead users using overall scores. Although artificial intelligence technologies offer new possibilities for companies to identify lead users (Bhimani et al, 2019), researchers struggle to build a cohesive body of knowledge from these data‐driven approaches, and conclusions drawn from the technologies may not apply to a general audience (Shin et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…In engineering practice, ideal materials do not exist, so metal wear is a combination of both types of wear. Isabel's theory of secondary erosion wear clearly explains the wear of brittle particles that erode the surface of a material at a large angle [4]. The theory shows that the particles will secondarily erode the surface of the material after fragmentation and that the degree of fragmentation is related to the kinetic energy of the particles, the impact angle and other influencing factors.…”
Section: Introductionmentioning
confidence: 99%