Prompt Engineering P2X Business Ecosystem with Generative AI
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 stati...
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| Vydané v: | Procedia computer science Ročník 256; s. 20 - 27 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
2025
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| ISSN: | 1877-0509, 1877-0509 |
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| 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. |
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| AbstractList | 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. |
| Author | Sinkkonen, Tiina Tani, Toni Kärri, Timo Metso, Lasse Yläkujala, Antti |
| Author_xml | – sequence: 1 givenname: Toni surname: Tani fullname: Tani, Toni email: toni.tani@lut.fi organization: Department of Industrial Engineering and Management, LUT University, Yliopistonkatu 34, Lappeenranta, 53850, Finland – sequence: 2 givenname: Antti surname: Yläkujala fullname: Yläkujala, Antti organization: Department of Industrial Engineering and Management, LUT University, Yliopistonkatu 34, Lappeenranta, 53850, Finland – sequence: 3 givenname: Lasse surname: Metso fullname: Metso, Lasse organization: Department of Industrial Engineering and Management, LUT University, Yliopistonkatu 34, Lappeenranta, 53850, Finland – sequence: 4 givenname: Tiina surname: Sinkkonen fullname: Sinkkonen, Tiina organization: Department of Industrial Engineering and Management, LUT University, Yliopistonkatu 34, Lappeenranta, 53850, Finland – sequence: 5 givenname: Timo surname: Kärri fullname: Kärri, Timo organization: Department of Industrial Engineering and Management, LUT University, Yliopistonkatu 34, Lappeenranta, 53850, Finland |
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| Cites_doi | 10.1007/978-3-031-23190-2 10.18653/v1/N18-1027 10.25300/MISQ/2013/37.2.01 10.2753/MIS0742-1222240302 10.2307/25148625 10.1007/978-3-030-78132-3 10.1145/2724730 10.1109/MCG.2012.27 10.1016/j.eswa.2016.08.041 10.18653/v1/2022.acl-long.225 10.1109/TVCG.2013.209 10.1002/smj.2904 10.1016/j.indmarman.2003.10.016 10.1177/0149206316678451 10.1109/KhPIWeek61412.2023.10312849 10.1080/01636609809550301 10.1108/EJIM-12-2017-0188 10.18653/v1/D18-1231 10.1111/j.1745-493X.2010.03211.x 10.1108/JBS-01-2023-0005 10.1007/s11747-008-0131-z 10.1007/978-3-642-33681-2_7 10.1016/j.lrp.2018.09.002 10.1016/j.jclepro.2022.132641 10.1504/IJNVO.2021.116431 |
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| Keywords | Business Ecosystem Prompt Engineering Generative AI AI Data Visualization Sustainability Power-to-X GPT-4 |
| Language | English |
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| SubjectTerms | AI Data Visualization Business Ecosystem Generative AI GPT-4 Power-to-X Prompt Engineering Sustainability |
| Title | Prompt Engineering P2X Business Ecosystem with Generative AI |
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