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THE POWER OF IDENTITY CUES IN TEXT-BASED CUSTOMER SERVICE: EVIDENCE FROM TWITTER.

Authors :
Gao, Yang
Rui, Huaxia
Sun, Shujing
Source :
MIS Quarterly; Sep2023, Vol. 47 Issue 3, p983-1014, 32p, 2 Color Photographs, 2 Diagrams, 21 Charts, 5 Graphs
Publication Year :
2023

Abstract

Text-based customer service is emerging as an important channel through which companies can assist customers. However, the use of few identity cues may cause customers to feel limited social presence and even suspect the human identity of agents, especially in the current age of advanced algorithms. Does such a lack of social presence affect service interactions? We studied this timely question by evaluating the impact of customers' perceived social presence on service outcomes and customers' attitudes toward agents. Our identification strategy hinged on Southwest Airlines' sudden requirement to include a first name in response to service requests on Twitter, which enhanced customers' perceived level of social presence. This change led customers to become more willing to engage and more likely to reach a resolution upon engagement. We further conducted a randomized experiment to understand the underlying mechanisms. We found that the effects were mainly driven by customers who were ex ante uncertain or suspicious about the human identity of agents, and the presence of identity cues improved service outcomes by enhancing customers' perceived levels of trust and empathy. Additionally, we found no evidence of elevated verbal aggression from customers toward agents with identity cues, although a mechanism test revealed the moderating role of customers' emotional states. Our study highlights the importance of social presence in text-based customer service and suggests a readily available and almost costless strategy for firms: signal humanization through identity cues. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02767783
Volume :
47
Issue :
3
Database :
Supplemental Index
Journal :
MIS Quarterly
Publication Type :
Academic Journal
Accession number :
171381982
Full Text :
https://doi.org/10.25300/MISQ/2022/17366