SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown
Published: Jan. 1, 2023
Large language models (LLMs) such as OpenAI's GPT series have shown remarkable capabilities in generating fluent and coherent text various domains. We compare the ideation of ChatGPT-4, a chatbot based on state-of-the-art LLM, with those students at an elite university. ChatGPT-4 can generate ideas much faster cheaper than students, are average higher quality (as measured by purchase-intent surveys) exhibit variance quality. More important, vast majority best pooled sample generated ChatGPT not students. Providing few examples highly-rated further increases its performance. discuss implications these findings for management innovation.
Language: Английский
Citations
83Artificial Intelligence and the Internal Processes of Creativity
The Journal of Creative Behavior, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 10, 2025
ABSTRACT Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components process. In particular, advanced capabilities AI underscore importance studying internal processes paper explores neurobiological machinery that underlies these and describes experiential component It is concluded although products artificial human can be similar, different. The also discusses how may negatively affect creativity, such as development skills, authenticity diversity ideas.
Language: Английский
Citations
2The Next Frontiers of Digital Innovation Research
Information Systems Research, Journal Year: 2024, Volume and Issue: 35(4), P. 1507 - 1523
Published: Nov. 4, 2024
Language: Английский
Citations
9A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14
Published: Jan. 19, 2025
Language: Английский
Citations
1Catch me if you can: Using machine learning and behavioral interventions to reduce unethical behavior
Behavioural Public Policy, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Feb. 3, 2025
Abstract We report the results of a field experiment designed to increase honest disclosure claims at U.S. state unemployment agency. Individuals filing were randomized message (‘nudge’) intervention, while an off-the-shelf machine learning algorithm calculated claimants’ risk for committing fraud (underreporting earnings). study causal effects algorithmic targeting on effectiveness nudge messages: Without targeting, average treatment effect messages was insignificant; in contrast, use revealed significant heterogeneous across claimants. Claimants predicted behave unethically by more likely disclose earnings when receiving relative control condition, with claimants most being almost twice as shown message. In addition providing potential blueprint costly interventions, our offers novel perspective and efficiency data science public sector without violating citizens’ However, we caution that, algorithms can enable tailored policy, their ethical must be ensured all times.
Language: Английский
Citations
1Your synthetic teammate:Enriching new product development with generative AI
Business Horizons, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 1, 2025
Language: Английский
Citations
1Generative AI Adoption and Higher Order Skills
SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Citations
1Generative artificial intelligence and evaluating strategic decisions
Strategic Management Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 14, 2024
Abstract Research Summary Strategic decisions are uncertain and often irreversible. Hence, predicting the value of alternatives is important for strategic decision making. We investigate use generative artificial intelligence (AI) in evaluating using business models generated by AI (study 1) or submitted to a competition 2). Each study uses sample 60 examines agreement model rankings made large language (LLMs) those human experts. consider multiple LLMs, assumed LLM roles, prompts. find that produces evaluations inconsistent biased. However, when aggregating evaluations, tend resemble This highlights making providing predictions. Managerial Managers seeking create integrating into their organizations. show how managers can help evaluate decisions. Generative AI's single if aggregate many across prompts, results resulting approach allows obtain insight on variety domains with relatively low investments time resources, which be combined inputs.
Language: Английский
Citations
8Revolution or inflated expectations? Exploring the impact of generative AI on ideation in a practical sustainability context
Technovation, Journal Year: 2024, Volume and Issue: 138, P. 103123 - 103123
Published: Oct. 17, 2024
Language: Английский
Citations
4Can the creativity of a crowdsourcing platform foster idea generation? The mediating role of curiosity
The Journal of Marketing Theory and Practice, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18
Published: Jan. 7, 2025
Firms often outsource the task of devising new product or service ideas to consumers through online crowdsourcing platforms. We posit that design environment may affect participants' capacity generate ideas. This research empirically shows creativity platform enhances idea generation participants who create and submit platform. further explore curiosity as a mediator relationship between an well factors (aesthetics ease use) moderators relation ship curiosity.
Language: Английский
Citations
0