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Khanh Le

Auckland University of Technology - Faculty of Business & Law

3 Wakefield Street

Private Bag 92006

Auckland Central 1020, Auckland 1010

New Zealand

SCHOLARLY PAPERS

4

DOWNLOADS

584

TOTAL CITATIONS

3

Scholarly Papers (4)

1.

Howdy, Robo-Partner: Exploring Artificial Companionship and Its Stress-Alleviating Potential for Service Employees

Journal of Service Management, 2024 [10.1108/JOSM-09-2023-0408]
Number of pages: 46 Posted: 19 Sep 2024
Khanh Le and Charles Cayrat
Auckland University of Technology - Faculty of Business & Law and University of Auckland Business School
Downloads 431 (172,233)
Citation 1

Abstract:

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Service employee, Stress, Artificial companionship, Artificial intelligence, Mental resilience, Mental sustainment, Well-being

2.

Employee-Robot Collaboration in Service: An Interdependence Perspective

Journal of Service Management, March 2023
Number of pages: 52 Posted: 23 May 2024 Last Revised: 31 May 2024
Auckland University of Technology - Faculty of Business & Law, University of Auckland and University of Auckland Business School
Downloads 67 (1,000,027)
Citation 2

Abstract:

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Joint goal, Joint workflow, Joint decision-making authority, FLE-FLR teams, Collaboration, Interdependence, Service experience

3.

The Future of Work: Understanding the Effectiveness of Collaboration Between Human and Digital Employees in Service

Journal of Service Research
Number of pages: 20 Posted: 23 May 2024
Auckland University of Technology - Faculty of Business & Law, University of Auckland, University of Massachusetts and University of Auckland Business School
Downloads 57 (989,921)

Abstract:

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human employee, digital employee, collaboration, interdependence, co-presence, coordination cue, supervisory cue, team goal cue, process fluency, team cohesion, customer satisfaction

4.

When humans stop thinking: tackling the silent threat of AI complacency in service operations

Number of pages: 41 Posted: 10 May 2026
Khanh Le
Auckland University of Technology - Faculty of Business & Law
Downloads 29 (1,459,862)

Abstract:

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Artificial intelligence, AI monitoring accountability, AI complacency, Contingency theory, Confabulated information Paper type Research article