Jin Li
Prof. Jin LI
經濟學
管理及商業策略
Area Head of Management and Strategy
Zhang Yonghong Professor in Economics and Strategy
Professor
Director of the Centre for AI, Management and Organization

3917 0056

KK 936

Publications
評估稅:為何AI時代需要從「生產」轉向「驗證」

若使用得當,生成式 AI 能夠顯著提升人類的生產力。 它可以協助團隊探索戰略、起草行銷方案,並大幅拓展個人產出的廣度與速度。

超級80/20法則: AI時代下知識創作

19世紀末,經濟學家維爾弗雷多·帕累托(Vilfredo Pareto)觀察到義大利80%的財富集中在20%的人手中。 這一現象後來被美國管理學者約瑟夫·朱蘭(Joseph Juran)進一步發展,推論出著名的“80/20法則”:80%的結果(輸出)往往歸於20%的投入(輸入)。

具體經濟學:從赫希曼的《退出、發聲與忠誠》說起

深具影響力的經濟學家兼政治思想家阿爾伯特·赫希曼(Albert Hirschman)以其對經濟發展和社會變遷的理論而聞名。他的著作《退出、發聲與忠誠》(Exit, Voice, and Loyalty)深入探討了企業、組織和國家面對衰退時的反應機制。

具體經濟學:從赫希曼的《退出、發聲與忠誠》說起

深具影響力的經濟學家兼政治思想家阿爾伯特·赫希曼(Albert Hirschman)以其對經濟發展和社會變遷的理論而聞名。他的著作《退出、發聲與忠誠》(Exit, Voice, and Loyalty)深入探討了企業、組織和國家面對衰退時的反應機制。

人工智能與事業前途顧慮

二十一世紀被譽為人工智能的黃金時代。海量的創新方法、突破性發現、層出不窮的新應用使我們目不暇接。多少傳統的商業模式、社交行為、資訊的獲取方式乃至社會的方方面面都正面臨革命性的改變,其中又以醫療領域尤其值得注意。

人工智能與事業前途顧慮

二十一世紀被譽為人工智能的黃金時代。海量的創新方法、突破性發現、層出不窮的新應用使我們目不暇接。多少傳統的商業模式、社交行為、資訊的獲取方式乃至社會的方方面面都正面臨革命性的改變,其中又以醫療領域尤其值得注意。

Career Spillovers in Internal Labour Markets

This paper studies career spillovers across workers, which arise in firms with limited promotion opportunities. We exploit a 2011 Italian pension reform that unexpectedly tightened eligibility criteria for the public pension, leading to sudden, substantial, and heterogeneous retirement delays. Using administrative data on Italian private-sector workers, the analysis leverages cross-firm variation to isolate the effect of retirement delays among soon-to-retire workers on the wage growth and promotions of their colleagues. We find evidence of spillover patterns consistent with older workers blocking the careers of their younger colleagues, but only in firms with limited promotion opportunities.

Marketplace Scalability and Strategic Use of Platform Investment

The scalability of a marketplace depends on the operations of the marketplace platform and its sellers’ capacities. In this study, we explore one strategy that a marketplace platform can use to enhance its scalability: providing an ancillary service to sellers. In our model, a platform can choose whether and when to provide this service to sellers and, if so, what prices to charge and which types of sellers to serve. Although such a service helps small sellers, we highlight that the provision of such a service can diminish the incentives of large sellers to make their own investment, thereby reducing their potential output. When the output reduction by large sellers is substantial, the platform may not want to provide the ancillary service, and, even if it does, it may choose to set a price higher than its marginal cost to motivate large sellers to scale. The platform may also choose to strategically delay the provision of the service.