Product Innovation – The Next Generation Sue Burek, Søren Salomo, Kevin Caves, Bengisu Berispek, and Andrew Varvara Originally presented: December 8, 2022 Watch time: 50 minutes Access the Webcast Join us for an overview of PDMA’s Global Student Innovation Challenge – learn about how students, professors, entrepreneurs and practitioners use process and best practices to launch successful products
Innovative Idea Generation in Problem Finding: Abductive Reasoning, Cognitive Impediments, and the Promise of Artificial Intelligence Massimo Garbuio and Nidthida Lin kHUB post date: December 8, 2022 Originally published: September 28, 2021 (PDMA JPIM • Vol 38, Issue 6 • November 2021) Read time: 75 minutes Access the Full Article This article addresses gaps about abductive reasoning—widely considered key to design-thinking but rarely detailed in design-thinking and innovation literatures—by examining two types of abduction; identifying impediments to it; and proposing the promise of Artificial Intelligence (AI) to mitigate those impediments
Q: When in your career did you first learn about the formal process of idea generation? As an industrial designer, we practice idea generation each year of the 4-year undergraduate studio curriculum. I wouldn't call the idea generation process we learn as designers "formal," however
In this study, we invoke regulatory mode theory to examine the independent and interactive effects of two regulatory orientations, assessment and locomotion, on three aspects of employee IWB: idea generation, promotion, and realization. Results from lagged survey data generally supported our hypotheses that each orientation would exhibit distinct effect patterns. For idea generation, assessment exhibited a positive relationship, whereas locomotion exhibited a negative relationship
The Effects of Exposure to Others’ Ideas and Their Ratings on Online Crowdsourcing Platforms on the Quantity and Novelty of Subsequently Generated Ideas Bo Chen and Niek Althuizen kHUB post date: December 14, 2022 Originally published: March 22, 2022 (PDMA JPIM • Vol 39, Issue 5 • September 2022) Read time: 25 minutes Access Full Article Research has shown that exposing people to others' ideas and the ratings of those ideas can influence their subsequent idea generation performance. In this paper, we utilize a socio-cognitive perspective to study this in an online crowdsourcing context. The cognitive factor concerns knowledge activated in memory because of idea exposure, which can be used for subsequent idea generation. The social factor concerns idea ratings that may steer the search for ideas in memory in the direction of ideas that are more likely to receive approval. Our contribution to the literature concerns an investigation of the joint effect of (1) the type of ideas posted by others (i.e., common versus novel ideas) and (2) the ratings of those ideas (i.e., low versus high ratings) on subsequent idea generation performance. We find compelling evidence for an interaction effect between these two factors in four empirical studies
The article proposes the use of the AI-augmented double diamond framework to structure the exploration of how these models can assist in new product development (NPD) tasks, such as text summarization, sentiment analysis, and idea generation. It also discusses the limitations of the technology and the potential impact of AI on established practices in NPD
The result of digitization of existing tools for design and collaboration, and the introduction of entirely new digital tools, is a far more substantive change of innovation than previous generations of tools enabled. It affects not only the quality of the output and speed of its generation, but it affects the innovation work itself, changes work content, collaboration patterns, decision authority, organizational set‐ups, governance structures, firm boundaries, and ultimately entire ecosystems
It involves two main components: Computational concept generation and computational concept evaluation
First, we combine contest theory with innovative behavior literature to derive eight types of innovative behavior in online contests—clustered into the three categories idea generation, elaboration, and championing—that represent the ideators’ required efforts to compete in an ideation contest successfully
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