TY - JOUR
T1 - Home-Tutoring Services Assisted with Technology
T2 - Investigating the Role of Artificial Intelligence Using a Randomized Field Experiment
AU - Kim, Jun Hyung
AU - Kim, Minki
AU - Kwak, Do Won
AU - Lee, Sol
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the 111 Project of China (No. B18026) awarded to the first author and by the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2021R1A6A1A14045741 and NRF-2018S1A5A2A03037147) awarded to the second and the third authors, respectively.
Publisher Copyright:
© American Marketing Association 2021.
PY - 2022/2
Y1 - 2022/2
N2 - Despite a rising interest in artificial intelligence (AI) technology, research in services marketing has not evaluated its role in helping firms learn about customers’ needs and increasing the adaptability of service employees. Therefore, the authors develop a conceptual framework and investigate whether and to what extent providing AI assistance to service employees improves service outcomes. The randomized controlled trial in the context of tutoring services shows that helping service employees (tutors) adapt to students’ learning needs by providing AI-generated diagnoses significantly improves service outcomes measured by academic performance. However, the authors find that some tutors may not utilize AI assistance (i.e., AI aversion), and factors associated with unforeseen barriers to usage (i.e., technology overload) can moderate its impact on outcomes. Interestingly, tutors who significantly contribute to the firm's revenue relied heavily on AI assistance but unexpectedly benefited little from AI in improving service outcomes. Given the wide applicability of AI assistance in a variety of services marketing contexts, the authors suggest that firms should consider the potential difficulties employees face in using the technology rather than encourage them to use it as it is.
AB - Despite a rising interest in artificial intelligence (AI) technology, research in services marketing has not evaluated its role in helping firms learn about customers’ needs and increasing the adaptability of service employees. Therefore, the authors develop a conceptual framework and investigate whether and to what extent providing AI assistance to service employees improves service outcomes. The randomized controlled trial in the context of tutoring services shows that helping service employees (tutors) adapt to students’ learning needs by providing AI-generated diagnoses significantly improves service outcomes measured by academic performance. However, the authors find that some tutors may not utilize AI assistance (i.e., AI aversion), and factors associated with unforeseen barriers to usage (i.e., technology overload) can moderate its impact on outcomes. Interestingly, tutors who significantly contribute to the firm's revenue relied heavily on AI assistance but unexpectedly benefited little from AI in improving service outcomes. Given the wide applicability of AI assistance in a variety of services marketing contexts, the authors suggest that firms should consider the potential difficulties employees face in using the technology rather than encourage them to use it as it is.
KW - AI aversion
KW - artificial intelligence
KW - field experiment
KW - one-on-one tutoring services
KW - technology overload
UR - http://www.scopus.com/inward/record.url?scp=85120771283&partnerID=8YFLogxK
U2 - 10.1177/00222437211050351
DO - 10.1177/00222437211050351
M3 - Article
AN - SCOPUS:85120771283
SN - 0022-2437
VL - 59
SP - 79
EP - 96
JO - Journal of Marketing Research
JF - Journal of Marketing Research
IS - 1
ER -