AI business models and its impact on business strategic framework
Shrutika Mishra () and
Priyanshu Mishra
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Shrutika Mishra: School of Business & Management, CHRIST (Deemed to be University), Lavasa, Pune-412112, India
Priyanshu Mishra: ��Department of Economics Banaras Hindu University, (Institute of Eminence) Varanasi 221005, India
International Journal of Financial Engineering (IJFE), 2023, vol. 10, issue 02, 1-25
Abstract:
Recently, a lot of research was done on how to evolve the artificial intelligence business model framework. However, one issue was still undeveloped, which was immature to understand. This has been vital for budding and progressive managers, policy decision makers, and academics alike, namely, how businesses transform and develop their AI business models framework to accomplish continuous value formation. Businesses, which achieve to make value over prolonged stages of time effectively, figure, acclimate and recommence their business models with AI technology to fuel such value formation. Sketch on verdicts from a research program on uninterruptedly budding businesses is given. This paper categorizes three perilous competences, namely, an alignment towards investigating with and manipulating innovative business openings, a well-adjusted use of properties, as well as attaining lucidity between management, ethos, and member of staff obligations, together they all decisive key maneuvering schedules. We conclude the paper by signifying the consequences for AI business model framework research and experts and by providing a tool for executives which permits them to reproduce and classify perilous problems relevant for shifting and emerging their business model to sustain value creation. In this paper, we try to explore the keys of Business Model Framework, which will revolutionize business market ecosystem.
Keywords: Business model innovation; artificial intelligence; emerging technology; business platform; digital innovation; AI business model framework (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S2424786323500019
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