Artificial Intelligence Platforms – A New Research Agenda for Digital Platform Economy

Tomasz Mucha and Timo Seppälä

No 76, ETLA Working Papers from The Research Institute of the Finnish Economy

Abstract: Abstract Three out of nine of S&P500 digital platform companies stand out as building own artificial intelligence (AI) platforms. There is overwhelming empirical evidence of AI technologies are being central to running a digital platform business. However, the current research agenda is not directing researchers to study AI technologies in the context of digital platforms. We have divided the proposed AI platforms research agenda as follows: The first set of questions we propose relates to an overall conceptualization of AI platforms. Thereafter, we recognize specific aspects of AI platforms, which need to be investigated in detail to gain understanding that is more complete. The second set of questions we propose relates to understanding the dynamics between AI platforms and the broader socio-economic context. This topic might be particularly relevant to economies of countries without indigenous AI platforms. Our paper builds on the proposition that AI is a general-purpose technology, which by itself carries properties of a digital platform.

Keywords: Platforms; Digital Platform Economy; Artificial Intelligence; AI platforms; Research agenda (search for similar items in EconPapers)
JEL-codes: M1 M21 O3 O33 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2020-02-06
New Economics Papers: this item is included in nep-big, nep-cmp, nep-fmk and nep-pay
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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