The availability of innovative technologies (e.g., the Internet of Things, big data analytics, blockchain, the cloud, and applications) has led to a shift in the provision of home health-care (HHC) services from traditional institutions to service-sharing platforms. In the HHC context, one main challenge faced by service-sharing platforms is the matching of demand with supply, while considering the heterogeneity of care requests and service providers. From a centralized perspective of service-sharing platforms regarding three stakeholders (i.e., platform, caregiver, and customer), different matching strategies are used, including the “self-interested”, “customer-first”, “hard-work-happy-life”, and “social-welfare” strategies. When addressing the matching problem at an operational level, the platforms must comply with various requirements and rules, including break requirements, temporal dependencies, and flexible service durations. In this study, mixed-integer linear programming models and a branch-and-price approach are designed to match demand with supply using different matching strategies while satisfying all of the requirements and rules. The effects of key factors on performance indicators (e.g., platform revenue, caregiver profit, and customer surplus) are examined, and the matching strategies are compared. The results indicate that the “customer-first” and “self-interested” strategies benefit more from flexible service durations, however they are more and less negatively affected by break requirements and temporal dependencies, respectively, as compared to the “social-welfare” and “hard-work-happy-life” strategies. A comparison between the “social-welfare” strategy and the other three strategies indicates that the former strategy is beneficial for all three stakeholders of the service-sharing platforms as well as the government. Another comparison between the service-sharing platforms and traditional HHC institutions indicates the sharing economy has a positive impact on caregiver profit and customer surplus.

创新技术（例如，物联网，大数据分析，区块链，云和应用程序）的可用性已导致家庭保健（HHC）服务的提供从传统机构转变为服务共享平台。在HHC环境中，服务共享平台面临的主要挑战是需求与供应的匹配，同时考虑到护理请求和服务提供者的异质性。从涉及三个利益相关者（即平台，照料者和客户）的服务共享平台的集中角度来看，使用了不同的匹配策略，包括“自私自利”，“客户至上”，“努力工作-开心生活”和“社会福利”策略。在运营层面解决匹配问题时，平台必须遵守各种要求和规则，包括休息时间要求，时间依赖性和灵活的服务持续时间。在这项研究中，设计了混合整数线性规划模型和分支价格方法，以使用不同的匹配策略在满足所有需求和规则的同时将需求与供给匹配。研究了关键因素对绩效指标的影响（例如，平台收入，看护者利润和客户剩余），并比较了匹配策略。结果表明，“客户至上”和“自利”策略受益于灵活的服务期限，但是与“社会福利”相比，它们分别受到休息时间要求和时间依赖性的负面影响越来越小和“辛勤工作，幸福生活”策略。将“社会福利”战略与其他三种战略进行比较表明，前一种战略对服务共享平台的所有三个利益相关者以及政府都是有益的。服务共享平台与传统HHC机构之间的另一个比较表明，共享经济对看护者的利润和客户剩余有积极影响。