{"title":"Catching but a glimpse?—Navigating crowdsourced solution spaces with transformer-based language models","authors":"Julian Just, Katja Hutter, Johann Füller","doi":"10.1111/caim.12612","DOIUrl":null,"url":null,"abstract":"<p>Current approaches for identifying valuable content among the multitude of solutions in crowdsourcing contests are resource-intensive and constrained by human processing capacity. As idea convergence processes usually focus on filtering out single ideas, the potential of solution-related knowledge among the heterogeneous ideas is not exploited in a sustainable manner. Transformer-based language models can process large sets of idea descriptions into digestible structures, with unprecedented capabilities for understanding and manipulating text. This study explores how they can help organizations and decision-makers navigate crowdsourced solution spaces efficiently and comprehensively. Inspired by theoretical concepts around problem-solving and innovation search, we conceptualize three related search practices—direct search, cluster exploration and pattern discovery—and illustrate them on 289 crowdsourced ideas for future mobility and energy services. Direct search can assist in identifying solutions that match pressing needs or subproblems. Cluster exploration enables aggregating semantically similar ideas into clusters to identify relevant needs. Pattern discovery synthesizes themes and interrelations to build a holistic understanding of potential solutions. The study contributes to the application of AI-assisted idea convergence by adding a new perspective beyond filtering out a few promising ideas.</p>","PeriodicalId":47923,"journal":{"name":"Creativity and Innovation Management","volume":"33 4","pages":"718-741"},"PeriodicalIF":3.7000,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/caim.12612","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Creativity and Innovation Management","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/caim.12612","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Current approaches for identifying valuable content among the multitude of solutions in crowdsourcing contests are resource-intensive and constrained by human processing capacity. As idea convergence processes usually focus on filtering out single ideas, the potential of solution-related knowledge among the heterogeneous ideas is not exploited in a sustainable manner. Transformer-based language models can process large sets of idea descriptions into digestible structures, with unprecedented capabilities for understanding and manipulating text. This study explores how they can help organizations and decision-makers navigate crowdsourced solution spaces efficiently and comprehensively. Inspired by theoretical concepts around problem-solving and innovation search, we conceptualize three related search practices—direct search, cluster exploration and pattern discovery—and illustrate them on 289 crowdsourced ideas for future mobility and energy services. Direct search can assist in identifying solutions that match pressing needs or subproblems. Cluster exploration enables aggregating semantically similar ideas into clusters to identify relevant needs. Pattern discovery synthesizes themes and interrelations to build a holistic understanding of potential solutions. The study contributes to the application of AI-assisted idea convergence by adding a new perspective beyond filtering out a few promising ideas.
期刊介绍:
Creativity and Innovation Management bridges the gap between the theory and practice of organizing imagination and innovation. The journal''s central consideration is how to challenge and facilitate creative potential, and how then to embed this into results-oriented innovative business development. The creativity of individuals, coupled with structured and well-managed innovation projects, creates a sound base from which organizations may operate effectively within their inter-organizational and societal environment. Today, successful operations must go hand in hand with the ability to anticipate future opportunities. Therefore, a cultural focus and inspiring leadership are as crucial to an organization''s success as efficient structural arrangements and support facilities. This is reflected in the journal''s contents: -Leadership for creativity and innovation; the behavioural side of innovation management. -Organizational structures and processes to support creativity and innovation; interconnecting creative and innovative processes. -Creativity, motivation, work environment/creative climate and organizational behaviour, creative and innovative entrepreneurship. -Deliberate development of creative and innovative skills including the use of a variety of tools such as TRIZ or CPS. -Creative professions and personalities; creative products; the relationship between creativity and humour; arts and amp; humanities side of creativity.