TY - JOUR
T1 - AI increases unethical consumer behavior due to reduced anticipatory guilt
AU - Kim, Tae Woo
AU - Lee, Hyejin
AU - Kim, Michelle Yoosun
AU - Kim, Sun Ah
AU - Duhachek, Adam
N1 - Publisher Copyright:
© 2022, Academy of Marketing Science.
PY - 2023/7
Y1 - 2023/7
N2 - The current research focuses on examining how the use of artificial intelligence and robotic technology, emerging non-human agent innovations in service industries, influences consumers’ likelihood of engaging in unethical behavior. Previous research has shown that non-human (vs. human) agents are perceived differently along many dimensions by consumers (e.g., that they lack emotional capability), leading to various behavioral changes when interacting with them. We hypothesize and show across four studies that interacting with non-human (vs. human) agents, such as AI and robots, increases the tendency to engage in unethical consumer behaviors due to reduced anticipatory feelings of guilt. We also demonstrate the moderating role of anthropomorphism such that endowing humanlike features on non-human agents reduces unethical behavior. We also rule out alternative explanations for the effect, including differential perceptions about the agents (e.g., “warmth,” “competence,” or “detection capacity”) and other measures associated with the company capabilities.
AB - The current research focuses on examining how the use of artificial intelligence and robotic technology, emerging non-human agent innovations in service industries, influences consumers’ likelihood of engaging in unethical behavior. Previous research has shown that non-human (vs. human) agents are perceived differently along many dimensions by consumers (e.g., that they lack emotional capability), leading to various behavioral changes when interacting with them. We hypothesize and show across four studies that interacting with non-human (vs. human) agents, such as AI and robots, increases the tendency to engage in unethical consumer behaviors due to reduced anticipatory feelings of guilt. We also demonstrate the moderating role of anthropomorphism such that endowing humanlike features on non-human agents reduces unethical behavior. We also rule out alternative explanations for the effect, including differential perceptions about the agents (e.g., “warmth,” “competence,” or “detection capacity”) and other measures associated with the company capabilities.
KW - Anticipatory guilt
KW - Artificial intelligence (AI)
KW - Robots
KW - Unethical behavior
UR - https://www.scopus.com/pages/publications/85125535762
U2 - 10.1007/s11747-021-00832-9
DO - 10.1007/s11747-021-00832-9
M3 - Article
AN - SCOPUS:85125535762
SN - 0092-0703
VL - 51
SP - 785
EP - 801
JO - Journal of the Academy of Marketing Science
JF - Journal of the Academy of Marketing Science
IS - 4
ER -