Creative Potential through Artificial Intelligence: Recommendations for Improving Corporate and Entrepreneurial Innovation Activities

Abstract

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Measuring the Impact of ChatGPT on Fostering Concept Generation in Innovative Product Design

“…Data-driven approaches use user data and feedback to guide ideation and design decisions [21]. AI tools use natural language processing and machine learning algorithms to support ideation by interacting with users in natural language [22].…”

Towards Sustainability of AI: A Systematic Review of Exisiting Life Cycle Assessment Approaches and Key Environmental Impact Parameters of Artificial Intelligence

“…With the growing importance of information technology (IT) in the business activities of companies, the ways of working, generating value and optimizing operational processes has been rapidly changing (Orlikowski, 2000;Wessel et al, 2021;Siemon et al 2022). IT, which had been initially seen as a tool or support function to deliver production factors for creating product offerings and services, has now become a production factor itself (Wagner & Weitzel, 2007).…”

Let the computer evaluate your idea: evaluation apprehension in human-computer collaboration

“…Against this background, computer systems are increasingly being used that are specifically designed to promote creativity, ideation generation, as well as to allow ideas to be evaluated by other people (K. Wang & Nickerson, 2017). While these systems primarily serve to enable the user to enter and process ideas, technological progress, especially in the field of artificial intelligence (AI) is creating further opportunities to involve computer systems in a more intelligent and active way for example by generating or evaluating ideas (Siemon et al, 2022). Because of the increase in computing power, novel algorithms and faster, more available data have contributed considerably to AI maturing (Russell & Norvig, 2020).…”

“…However, these AI-based computer systems mainly focus on assisting activities by passively serving users within their work (Diederich et al, 2022;Gnewuch et al, 2017;Rzepka & Berger, 2018). By increasing the autonomy and independence of AI-based computer systems, their role within value creation changes (Siemon et al, 2022). For example, implementing such systems in collaboration scenarios, where the system has an active role in the collaboration process, results in computers becoming teammates (Gerber, 2009;Krämer et al, 2012;Nass et al, 1996;Seeber et al, 2019Seeber et al, , 2020Siemon et al, 2018).…”

“…Already in the proposal that led to the famous Dartmouth conference, the term creativity was mentioned among other things as a key goal of AI (Boden, 2009;McCarthy et al, 2006). Regardless of whether people work together with computers or computers generate value on their own, new approaches on how AI can be involved in creative processes ensure that not only the capabilities but also the role of computers must be reconsidered and above all researched (Besold et al, 2015;Siemon et al, 2022). In this paper, we propose the use of AI-based computer systems that actively participate in creative processes by evaluating a user's idea and thus providing feedback, as an approach to address evaluation apprehension.…”