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Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

  • Praveen K. Kopalle
  • , Manish Gangwar
  • , Andreas Kaplan
  • , Divya Ramachandran
  • , Werner Reinartz
  • , Aric Rindfleisch

Research output: Contribution to journalArticlepeer-review

Abstract

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.

Original languageEnglish (US)
Pages (from-to)522-540
Number of pages19
JournalInternational Journal of Research in Marketing
Volume39
Issue number2
DOIs
StatePublished - Jun 2022

Keywords

  • Artificial intelligence
  • Audio
  • Automated analysis of text
  • Ethics and privacy
  • Global marketing
  • Glocalization
  • Human–machine interaction
  • Images
  • Inequality
  • Video

ASJC Scopus subject areas

  • Marketing

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