Marketing and Algorithmic Integration for Economic and Social Good

Éditeurs invités

  • Qiang (Steven) Lu, University of Sydney
  • Jian Ni, Virginia Tech
  • Yanwen Wang, University of British Columbia
  • Ranjit Voola, University of Sydney
  • Junbin Gao, University of Sydney

Synthèse

This special issue examines how algorithmic systems shape markets, organizations, and consumer behavior beyond their technical applications. The focus extends to understanding how these systems influence competition, value distribution, market access, consumer decision-making, and broader societal outcomes including fairness, inclusion, and sustainability.

The call invites research across three interconnected domains: markets, consumers, and organizations. A key emphasis is balancing economic performance with social value creation, addressing algorithmic bias, pricing practices, and inequalities while identifying conditions under which algorithmic integration benefits society.

The special issue prioritizes practical research bridging marketing theory with real-world algorithmic system design and governance. Studies using diverse methodologies are welcomed, particularly those offering actionable insights for managers and policymakers.

Thèmes proposés

  • Algorithmic market shaping and platform ecosystems
  • Consumer-algorithm interactions, trust and resistance
  • Algorithmic personalisation and customer experience
  • Pricing and fairness in algorithmic systems
  • Bias, discrimination and inequality in algorithms
  • Transparency, ethics, accountability and regulatory responses
  • Strategic marketing capabilities and organisational adaptation
  • Responsible AI adoption and implementation
  • Sustainability and financial inclusion
  • Societal impact and policy implications
  • Managerial decision-making
  • Interdisciplinary and industry-engaged research