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To err is human: Tolerate humans instead of machines in service failure
Institution:1. Business School, Seoul National University, 1, Gwanak-ro, Gwanak-gu, 151-916 Seoul, Republic of Korea;2. Business School, Hanyang University, #412, 17 Haengdang-dong, Seongdong-gu, Seoul, Republic of Korea;1. Culverhouse College of Business, University of Alabama, United States of America;2. Department of Management, University of Bologna, Italy;3. Texas State University, United States of America;4. EDHEC Business School, France;5. Clemson University, United States of America;6. Alliance Manchester Business School, The University of Manchester, United Kingdom;7. Karlstad Business School, Sweden;8. Cairo University, Egypt
Abstract:Full automation and self-service technologies have become popular in service marketing. However, customers often face multiple issues when dealing with self-service technologies. This paper examines the effect of service-failure type (employee failure vs. self-service technology failure) on customers' negative responses (dissatisfaction, forgiveness, willingness to switch between employee and self-service technology, and negative word of mouth). Through four experiments with Amazon Mechanical Turk workers and undergraduate students, this research finds that customers have more negative responses for a self-service technology failure than for an employee failure. This is because they get angrier with machines' mistakes than with those of humans. Moreover, empathy alleviates anger and customers’ negative responses in employee failure, but not in self-service technology failure. This research offers service providers new insights by scrutinizing the flip side of complete automation in service marketing.
Keywords:Automation  Empathy  Employee  Service failure  Self-service technology
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