How to Build Network Effects on Online Platforms for Mental Health

IF 6.3 2区管理学 Q1 BUSINESS

California Management Review Pub Date : 2022-07-14 DOI:10.1177/00081256221107421

Junjie Zhou, X. Wan

引用次数: 4

Abstract

In the traditional offline context, the mental health industry suffers from poor local demand and a lack of trustworthy supply. Emerging digital platforms can solve this problem to a large extent by building network effects. How to build network effects is a primary issue for mental health platforms. This article explores this problem by investigating two cases from China. Platform firms can design mechanisms to increase user scale, multiply user roles, facilitate user engagement, and enhance user trust on platforms. The pioneer platform and the later entrant can implement different strategies for building network effects.

查看原文本刊更多论文

如何在心理健康在线平台上建立网络效应

在传统的线下环境中，心理健康行业受到当地需求不足和缺乏可靠供应的困扰。新兴的数字平台可以通过构建网络效应在很大程度上解决这一问题。如何构建网络效应是心理健康平台面临的首要问题。本文通过对中国两个案例的调查来探讨这一问题。平台公司可以设计机制来增加用户规模，增加用户角色，促进用户参与，增强用户对平台的信任。先行者平台和后来者平台可以采取不同的策略来构建网络效应。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

California Management Review Multiple-

CiteScore

18.40

自引率

3.00%

发文量

期刊介绍： California Management Review (CMR) serves as a vital link between academia and management practice, offering leading-edge research with practical applications. Edited at UC Berkeley’s Haas School of Business, CMR covers a wide range of management topics, including innovation, strategy, sustainable practices, and human resources. CMR ranks among the top management journals globally, distributing articles through outlets like Harvard Business School Publishing and SAGE Publishing. Focused on bridging academia and practice, CMR ensures that all articles are based on rigorous academic research while providing actionable insights for managers. In addition to regular issues, CMR publishes special issues and sections on relevant topics, often guest-edited by leading faculty. Recent special issues have covered dynamic capabilities, city innovation, big data, and intellectual property management.