DOI

Artificial Intelligence (AI) innovation becomes useful today when it enriches decision-making that is enhanced by applications of big data (BD), advanced analytics (AA), and some element of human interaction using digital platforms. This research aims to investigate the potential combination of AI, BD and AA for digital business platforms. In doing so, it develops a multidimensional AI-driven platform innovation framework with AI/BD/AA innovation value chain and related levels of AI maturity improvement. The framework can be used with a focus on the data-driven human-machine relationship and the application of AI at different levels of an AI-driven digital platform technology stack.

Язык оригиналаанглийский
Страницы (с-по)4-15
Число страниц12
ЖурналTechnology Innovation Management Review
Том10
Номер выпуска10
DOI
СостояниеОпубликовано - окт 2020

    Области исследований

  • SCOPUS, РИНЦ

    Предметные области Scopus

  • Менеджмент технологии и инноваций
  • Прикладные компьютерные науки

ID: 75335831