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Using artificial intelligence (AI) generative technologies for business model design with IDEATe process : a speculative viewpoint

Lecocq, Xavier; Warnier, Vanessa; Demil, Benoît; Plé, Loic - In: Journal of business models : JOBM 12 (2024) 1, pp. 21-35

Artificial Intelligence (AI) and the more recent generative technologies are disrupting many activities related to strategy and operations within organizations. Business model design is no exception. We define business model design as an iterative process involving a combination of creativity,...

Persistent link: https://www.econbiz.de/10014550430

The suptech generations

Di Castri, Simone; Hohl, Stefan; Kulenkampff, Arend; … - 2019

Persistent link: https://www.econbiz.de/10012201697

Digital platform grafting : strategies for entering established ecosystems

Björkdahl, Joakim; Holgersson, Marcus; Teece, David J. - In: California management review 66 (2024) 3, pp. 27-46

Persistent link: https://www.econbiz.de/10014583876

Artificial intelligence as a growth engine for health care startups : emerging business models

Garbuio, Massimo; Lin, Nidthida - In: California management review 61 (2019) 2, pp. 59-83

Persistent link: https://www.econbiz.de/10012175426

Artificial intelligence : building a research agenda

Ratten, Vanessa - In: Entrepreneurial business and economics review : EBER 12 (2024) 1, pp. 7-16

: Artificial intelligence is a hot topic particularly for international business managers who are incorporating technological … innovation for competitive reasons. This article focuses on the link between artificial intelligence and international business … managers and practitioners understand the main trending areas related to artificial intelligence in a business setting. It is …

Persistent link: https://www.econbiz.de/10014549643

Demystifying AI : what digital transformation leaders can teach you about realistic artificial intelligence

Brock, Jürgen Kai-Uwe; Wangenheim, Florian von - In: California management review 61 (2019) 4, pp. 110-134

Persistent link: https://www.econbiz.de/10012175543

Unternehmenstransformation 2.0 : Resilienz und Innovation durch Data Science : Tagungsband Münchner Management Kolloquium 08. und 09. März 2022

Wildemann, Horst (ed.) - Münchner Management Kolloquium <2022, München> - 2022 - 1. Auflage

Persistent link: https://www.econbiz.de/10013169487

Digitalisierung : Fallstudien, Tools und Erkenntnisse für das digitale Zeitalter

Schallmo, Daniel (ed.); Lang, Klaus (ed.); … - 2023

-per-Part -- K25 - Status Quo und Hürden der Digitalisierung im Supply Chain Management von KMU. . …, Technologiemanagement, strategisches Management und Entrepreneurship erhalten aktuelle wissenschaftliche Erkenntnisse zum Thema der … Digitalisierung. Praktiker aus den Bereichen Management, strategische Planung und Business Development erhalten Erkenntnisse und Ideen …

Persistent link: https://www.econbiz.de/10013518333

Digitalisierung : Fallstudien, Tools und Erkenntnisse für das digitale Zeitalter

Schallmo, Daniel (ed.); Lang, Klaus (ed.); … - 2023

Persistent link: https://www.econbiz.de/10012703026

Artificial intelligence and business modelinnovation in incumbent firms : a cross-industry case study

Metzler, Dennis Renee; Neuss, Nicole; Muntermann, Jan - In: Die Unternehmung : Swiss journal of business research … 75 (2021) 3, pp. 324-339

Persistent link: https://www.econbiz.de/10012650056

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