JOURNAL ARTICLE

Business Modeling Innovation Using Artificial Intelligence Technology

Riya WidayantiLista Meria

Year: 2023 Journal:   International Transactions on Education Technology (ITEE) Vol: 1 (2)Pages: 95-105

Abstract

Startups embracing artificial intelligence (AI) as a component of their business models are quickly emerging right now. The application of AI technology in business has been going on for a while, even though recent research reveals that new or alternative business models are being implemented.It might be claimed that AI technology has been used to business models for a very long time, which puts into question the uniqueness of these business models. In order to better understand how AI companies' business models may differ from traditional IT business models, this study compares them to each other. The first step is to create a taxonomy of business models for AI businesses using a sample of 162 Worldwide Stratup, from which four archetypal business models are derived: Deep technology researcher, data analytics supplier, AI product and service provider, and facilitator of AI development The following are three main elements of startup business models for AI firms that are discussed based on this descriptive analysis: (1) new value propositions made possible by AI, (2) Various uses of data to create value and (3) How AI technology affects general business reasoning. By defining their key purposes, common instantiations, and distinguishing features, this research adds to our fundamental understanding of the AI start-up business model. This study suggests intriguing directions for further investigation in the field of entrepreneurship. À It is structured to foster entrepreneurial activity. Taxonomies and models are actually instrument.

Keywords:
Business model Business intelligence Artifact-centric business process model Business rule Computer science New business development Knowledge management Business analytics Business process modeling Entrepreneurship Data science Big data Business analysis Artificial intelligence Business process Business Marketing Data mining

Metrics

21
Cited By
9.25
FWCI (Field Weighted Citation Impact)
31
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Impact of AI and Big Data on Business and Society
Social Sciences →  Decision Sciences →  Management Science and Operations Research

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