DESCRIPTION AND DEMONSTRATION SIGNALS AS COMPLEMENTS AND SUBSTITUTES IN AN ONLINE MARKET FOR MENTAL HEALTH CARE1
成果类型:
Article
署名作者:
Zhou, Junjie; Kishore, Rajiv; Amo, Laura; Ye, Cheng
署名单位:
Shantou University; Nevada System of Higher Education (NSHE); University of Nevada Las Vegas; State University of New York (SUNY) System; University at Buffalo, SUNY
刊物名称:
MIS QUARTERLY
ISSN/ISSBN:
0276-7783
DOI:
10.25300/MISQ/2022/16122
发表日期:
2022
页码:
2055-2084
关键词:
count data models
empirical-analysis
economic returns
price premiums
QUALITY
trust
uncertainty
reputation
customers
physician
摘要:
Online markets for mental health care (OMMH) allow clients to connect remotely with counselors to receive psychological therapy. Rooted in signaling theory and in the specific context of an OMMH, we theorize relative credibility of signals as the boundary condition that determines whether the demonstration signal of responsiveness to client questions substitutes or complements the two description signals of professional qualifications and counseling style in predicting market demand for counselors from new clients in an OMMH. Based on a panel dataset of 823 observations from 309 counselors participating on YiXinLi, a leading OMMH in China, we tested our hypotheses using linguistic and sentiment analysis methods and zero-inflated negative binomial models. We found broad support for nine out of ten hypotheses. Findings are robust with respect to different measures of variables, potential endogeneity from the simultaneity of responsiveness and counselor demand, and potential selection bias from both observable and endogenous covariates. Our study extends the literature on signaling in online markets in the unique context of OMMH by showing that: (1) relative credibility of signals is the boundary condition that determines when a demonstration signal will complement and when it will substitute for a description signal, (2) previous clients' feedback on counselors' empathy and warmth was deemed not credible by new clients in the context of online counseling, and (3) responsiveness to client questions is the most influential predictor of market demand from new clients in an OMMH.