Rebekah Russell‐Bennett

Queensland University of Technology, University of Canberra

Papers

7

Total Citations

180

H-Index

6

About

Rebekah Russell-Bennett is a leading marketing and services scholar whose research sits at the intersection of artificial intelligence, service robotics, and human well-being. Her work grapples with one of the most pressing questions facing modern organizations: how the integration of intelligent technologies reshapes relationships between customers, frontline employees, and managers. Russell-Bennett's most influential contribution, "Black, White or Grey Magic? Our Future with Artificial Intelligence" (2020, 67 citations), examines marketers' pivotal role in steering AI toward ethical, human-centered outcomes — challenging researchers and practitioners alike to confront technology's dual potential for harm and benefit. Building on this foundation, she has developed the concept of the "Robotic-Human Service Trilemma," illuminating well-being tensions that emerge when service robots disrupt traditional human service triads, and has extended this thinking into healthcare contexts, exploring blended human-technology interactions with genuine care for patient and practitioner experience. Her editorial leadership in journals focused on human-technology service interactions has helped shape an entire subfield, while her analysis of collective hotel review data offers rare field evidence on how shared realities form in robot-mediated environments. Across more than 180 cumulative citations, Russell-Bennett consistently advocates for thoughtful, people-centered approaches to technological transformation.

Research Focus

Key Achievements

6
H-Index
7
Papers
180
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Black, white or grey magic? Our future with artificial intelligence
67 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Queensland University of Technology, University of Canberra

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago