团队

新加坡、杜拜、美国正全力抢占数字金融主导权。港大经管学院创新及资讯管理学教授方钰麟教授近日在《大公报》撰文指出，如果香港要保持竞争力，就要以 Web3加快香港国际金融中心创新升级。

In the highly competitive mobile market, third-party vendors located outside the purview of hosting mobile platforms are becoming major suppliers of functional tool kits for mobile app development and innovation. Mobile app developers, however, face the uncertainty of whether and how to use third-party software development kits (SDKs) from these external vendors to create more appealing and engaging mobile apps. This study examines the extent to and conditions under which third-party SDK utilization affects mobile app market performance. Drawing on the platform ecosystem literature and boundary object theory, we contextualize the boundary-spanning practice in mobile app development as the extent to which developers utilize third-party SDKs and theorize the performance impact of third-party SDKs. Moreover, the boundary-spanning perspective leads us to examine how the performance impact of third-party SDKs varies across tool types versus platform types, the evolution of platform boundaries, and levels of app developers’ platform-specific experience. By conducting difference-in-differences-style analyses on a longitudinal data set of 335,958 multihoming mobile apps released on Apple App Store and Google Play Store, our study reveals that utilizing more third-party SDKs is positively associated with daily active users of mobile apps. This positive impact is limited to tool-type third-party SDKs, however, and is attenuated by platform updates and app developers’ platform-specific experience. This study contributes to the platform-based software innovation and platform governance literature and provides managerial implications for app developers, platform managers, and third-party SDK providers.

Digital platforms strive to filter out consumer reviews that are manipulated, which has become a common and increasingly vexing problem that can take anywhere from days to months to detect. Yet little is known about the consequences of such reviews on product market performance. Using data from the Apple App Store, we examine how the app’s ranking changes when it receives manipulated reviews that are later filtered out by Apple. Our findings reveal that both one-star and five-star manipulated reviews have a significant positive effect on app rankings within a week of posting. The positive effect of one-star manipulated reviews is particularly surprising, as it contradicts the expected effect of organic negative reviews and the intent behind using such reviews to harm competitors. We also explore how these effects evolve over time, shedding light on the role of filtering policies in mitigating distortions related to review manipulation. Results show that these effects become negative as platforms filter out manipulated reviews, but this process can take as long as six months to fully materialize. These findings highlight the need for digital platforms to increase their investment to promptly and accurately control review manipulation for the welfare of both businesses and users on the platform. To the best of our knowledge, this study is one of the first to empirically analyze the short-term and long-term effects of manipulated reviews on product sales, which provides crucial managerial implications for practitioners.

Although hospital-affiliated online health communities (OHCs) provide enormous potential for health promotion, their application can create uncertainty and complexities for existing off-line healthcare systems in terms of quality and equity concerns. Understanding how and why physicians’ off-line care quality and equity may change after joining an OHC is a critical yet underexplored question, particularly for patients with low socioeconomic status (SES), who are more likely to be impacted by such changes. This study seeks to quantify these effects using operation-level inpatient data along with the correlated activities of physicians and patients in an OHC sourced from a prominent hospital. Our empirical results show that physicians’ OHC participation is associated with a 3.87% (4.63%) reduction (increase) in the relative risk (safety) of mortality (recovery) for patients who engage in the community. To understand the mechanisms of change, we find that the enhancement of patient care continuity is a key mechanism through which OHC participation may improve off-line service quality. Study results also provide evidence of partial mediation for management and relational continuity in the process chains of OHC outcomes. Additionally, the impact of OHC participation is found to be far more pronounced for patients with low SES, suggesting that OHCs can promote the equity of off-line care quality. This study further tests how community activities along with the ladder of OHC interactions between physicians and patients affect off-line healthcare outcomes. It adds to the literatures on OHC, healthcare operations management, and public health as well as offers practical implications for service operations of online health platforms.

近几年来，生成式人工智能（AI）的发展几乎可以用“来势汹汹”来形容。从写作、设计、程式开发，到客服、行销、金融分析与医疗辅助，愈来愈多企业在至少一个业务环节导入生成式AI。

以生成式人工智能、机器学习为代表的人工智能技术，正以前所未有的速度与潜力重塑产业。报告显示，人工智能有望将生产力提升33%，并重新定义全球竞争格局与经济增长。

在全球Web 3.0浪潮推动虚拟资产市场规模持续扩张、国际金融秩序重塑的背景下，构建平衡稳健的本地Web 3.0生态体系，已然成为香港金融发展的破局支点。

人工智能（AI）技术发展日新月异。学术界已有大量研究报告表明，在不同工作场景中，人机协作能显著提升效率与创造力。社会各界亦已对人工智能技术对不同工作带来的生产力提升有所感知。

Blockchain technologies have catalyzed the rise of decentralized autonomous organizations (DAOs), which operate in an incentive network fueled by crypto tokens. In essence, these tokens are imbued with either payment rights (i.e., transactional tokens) or ownership rights (i.e., governance tokens). The decentralized organizational paradigm dismantles the traditional management structure and bring new research opportunities to Operations Management (OM). While the performance of DAOs has been largely examined in current OM literature, the effectiveness of their internal incentive mechanisms—specifically the one that uses ownership as rewards to promote user contributions—remains unclear. Focusing on DAO-enabled virtual communities, we seek to examine whether decentralized ownership provides stronger incentives for user behaviors, such as creation and curation, in comparison to traditional monetary rewards through the lens of psychological ownership theory. We obtained data from Steemit that captures the reward, creation, curation and transaction behaviors of 98,000 users from May 2017 to April 2019. By leveraging the “power-up” action as a shock that increases user ownership shares, we established a quasi-experimental setting. Employing the PSM-DID model, we found that the use of governance tokens is associated with enhanced creation and curation efforts but declined creation novelty, compared to the use of transactional tokens. Our additional analyses further reveal that the incentive effects of governance tokens diminish over time. However, upon the recurrence of the intended choice, these effects become reinforced. Notably, we find that governance token ownership is more strongly associated with curation efforts for users with weaker social ties. Conversely, for users with high reputation scores, their content creation behaviors are less strongly associated with governance token ownership. This study contributes to the burgeoning discourse on blockchain and cryptocurrency from an operational perspective, providing valuable insights for the design of incentive mechanisms in DAOs and advancing our understanding of operational efficiencies and stakeholder engagement in decentralized structures within Operations Management.