Offline visit intention of online patients: the Grice's maxims and patient involvement

被引:0
作者
Cao, Xianye [1 ,2 ]
Liu, Yongmei [2 ]
Fang, Zian [2 ]
Zhu, Zhangxiang [3 ]
机构
[1] Hunan Univ Technol & Business, Sch Business Adm, Changsha 410205, Peoples R China
[2] Cent South Univ, Sch Business, Changsha 410083, Peoples R China
[3] Hunan Normal Univ, Coll Tourism, Changsha 410081, Peoples R China
基金
中国国家自然科学基金;
关键词
Visit intention; Online healthcare; ELM; Grice's maxims; Patient involvement; ELABORATION LIKELIHOOD MODEL; CONSUMER REVIEWS; INFORMATION QUALITY; PRODUCT TYPE; ADOPTION; IMPACT; CARE; COMMUNICATION; ANTECEDENTS; COMMUNITIES;
D O I
10.1186/s12911-025-02861-8
中图分类号
R-058 [];
学科分类号
摘要
Online Healthcare Consulting Services (OHCS) can benefit physicians and patients. However, it is unclear how OHCS and what types of persuasive content enhance patients' intentions to visit offline. Based on the Elaboration Likelihood Model (ELM) and Grice's maxims of the Cooperative Principle, we formulated hypotheses related to factors in the central route, peripheral route, and patient involvement that influence patients' offline visit intentions. We used the amount of information, reliability, relevance, and understandability to measure information quality. By collecting data from an online healthcare site, we employed a regression model to evaluate our hypotheses. The results revealed that central route factors (amount of information, reliability, relevance, and understandability) and peripheral cues positively affect patients' offline visits. We also verified that patient involvement increases the impact of central route factors. This study extended the application of ELM and Grice's maxims in the field of OHCS, offering insights into how patients form intentions to visit offline through persuasive online content and providing valuable practical guidance for online physicians.
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页数:19
相关论文
共 76 条
  • [11] Latent Dirichlet allocation
    Blei, DM
    Ng, AY
    Jordan, MI
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) : 993 - 1022
  • [12] Online selection of a physician by patients: Empirical study from elaboration likelihood perspective
    Cao, Xianye
    Liu, Yongmei
    Zhu, Zhangxiang
    Hu, Junhua
    Chen, Xiaohong
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2017, 73 : 403 - 412
  • [13] Understanding physicians' motivations for community participation and content contribution in online health communities
    Chen, Qin
    Jin, Jiahua
    Yan, Xiangbin
    [J]. ONLINE INFORMATION REVIEW, 2023, 47 (03) : 604 - 629
  • [14] The impact of electronic word-of-mouth - The adoption of online opinions in online customer communities
    Cheung, Christy M. K.
    Lee, Matthew K. O.
    Rabjohn, Neil
    [J]. INTERNET RESEARCH, 2008, 18 (03) : 229 - 247
  • [15] Cheung CMY, 2012, J ASSOC INF SYST, V13, P618
  • [16] Chia-Huan Ho, 2007, Internet and Higher Education, V10, P3, DOI 10.1016/j.iheduc.2006.11.002
  • [17] Elaboration likelihood model, endogenous quality indicators, and online review helpfulness
    Chou, Yen-Chun
    Chuang, Howard Hao-Chun
    Liang, Ting -Peng
    [J]. DECISION SUPPORT SYSTEMS, 2022, 153
  • [18] Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality
    Chua, Alton Y. K.
    Banerjee, Snehasish
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2016, 54 : 547 - 554
  • [19] Using the elaboration likelihood model to examine online persuasion through website design
    Cyr, Dianne
    Head, Milena
    Lim, Eric
    Stibe, Agnis
    [J]. INFORMATION & MANAGEMENT, 2018, 55 (07) : 807 - 821
  • [20] Grice's Cooperative Principle: Meaning and rationality
    Davies, Bethan L.
    [J]. JOURNAL OF PRAGMATICS, 2007, 39 (12) : 2308 - 2331