The Role of Artificial Intelligence in Idea Management Systems and Innovation Processes: An Integrative Review

TY - GEN

T1 - The Role of Artificial Intelligence in Idea Management Systems and Innovation Processes

T2 - 2024 Cognitive Models and Artificial Intelligence Conference, AICCONF 2024

AU - Leka, Serena

PY - 2024/5

Y1 - 2024/5

N2 - The role of artificial intelligence (AI) in idea management systems (IMS) and innovation processes has recently been a topic of significant research interest. AI has been acknowledged for its potential to enhance innovation activities by providing support in various aspects. The intersection of these areas offers promising opportunities for improved idea generation, classification, development, and evaluation. However, AI's impact is not equally present for the different stages of an innovation process, showing more prominence in the idea generation stage. Through an integrative review, we can explore how AI has contributed to different steps of innovation processes implemented through IMS. AI-driven approaches, so far, have been opening possibilities to manage creative processes, such as automating specific tasks, analyzing large amounts of data to identify patterns and trends, and providing real-time feedback to enhance ideation and decision-making. Assessing the contribution of AI to innovation and creativity is vital in understanding its potential influence on the future developments of IMS and innovation processes.

AB - The role of artificial intelligence (AI) in idea management systems (IMS) and innovation processes has recently been a topic of significant research interest. AI has been acknowledged for its potential to enhance innovation activities by providing support in various aspects. The intersection of these areas offers promising opportunities for improved idea generation, classification, development, and evaluation. However, AI's impact is not equally present for the different stages of an innovation process, showing more prominence in the idea generation stage. Through an integrative review, we can explore how AI has contributed to different steps of innovation processes implemented through IMS. AI-driven approaches, so far, have been opening possibilities to manage creative processes, such as automating specific tasks, analyzing large amounts of data to identify patterns and trends, and providing real-time feedback to enhance ideation and decision-making. Assessing the contribution of AI to innovation and creativity is vital in understanding its potential influence on the future developments of IMS and innovation processes.

KW - Idea generation

KW - Idea Management Systems

KW - Innovation Process

UR - http://www.scopus.com/inward/record.url?scp=85197533397&partnerID=8YFLogxK

U2 - 10.1145/3660853.3660890

DO - 10.1145/3660853.3660890

M3 - Article in proceedings

AN - SCOPUS:85197533397

SP - 160

EP - 164

BT - AICCONF '24

PB - Association for Computing Machinery

Y2 - 25 May 2024 through 26 May 2024

ER -