Prompt Engineering P2X Business Ecosystem with Generative AI
Year of publication
2025
Authors
Tani Toni; Yläkujala Antti; Metso Lasse; Sinkkonen Tiina; Kärri Timo
Abstract
This study examines the potential of generative Artificial Intelligence (AI) in visualizing and sketching Power-to-X (P2X) business ecosystems via the Business Ecosystem Prompt2X Method (BEP2X). Utilizing advancements in GPT technology, this approach offers a dynamic alternative to traditional static visualization methods. Guided by the research questions, this study investigates the role of generative AI in ecosystem categorization, led by prompt engineering for detailed visualization, and culminates in the creation of a tangible artifact through this process. Using the DSR framework, BEP2X is introduced as a new method for applying generative AI to draw complex business ecosystems. The synthetic methanol plant project in Finland serves as a case study in its development, illustrating BEP2X’s practical utility.
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Parent publication name
Publisher
Volume
256
Pages
20-27
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Fully open publication channel
Self-archived
Yes
Other information
Fields of science
Other engineering and technologies
Keywords
[object Object],[object Object],[object Object],[object Object]
Identified topic
[object Object]
Internationality of the publisher
International
International co-publication
No
Co-publication with a company
No
DOI
10.1016/j.procs.2025.02.091
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes