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Most organizations rely on managers to identify talented workers. However, managers who are evaluated on team performance have an incentive to hoard workers. This study provides the first empirical evidence of talent hoarding using…

General Economics · Economics 2025-07-22 Ingrid Haegele

If AI displaces human workers faster than the economy can reabsorb them, it risks eroding the very consumer demand firms depend on. We show that knowing this is not enough for firms to stop it. In a competitive task-based model, demand…

Theoretical Economics · Economics 2026-03-24 Brett Hemenway Falk , Gerry Tsoukalas

A buyer and a seller bargain over the price of an object. Both players can build reputations for being obstinate by offering the same price over time. Before players bargain, the seller decides whether to adopt a new technology that can…

Theoretical Economics · Economics 2025-03-17 Harry Pei , Maren Vairo

Over the last 20 years, a very large number of startups have been launched, ranging from mobile application and game providers to enormous corporations that have started as tiny startups. Startups are an important topic for research and…

Software Engineering · Computer Science 2021-08-21 Juhani Risku

Employers are adopting algorithmic hiring technology throughout the recruitment pipeline. Algorithmic fairness is especially applicable in this domain due to its high stakes and structural inequalities. Unfortunately, most work in this…

We develop a game-theoretic framework for the study of competition between firms who have budgets to "seed" the initial adoption of their products by consumers located in a social network. The payoffs to the firms are the eventual number of…

Computer Science and Game Theory · Computer Science 2012-04-24 Sanjeev Goyal , Michael Kearns

The hiring problem is studied for general strategies based only on the relative ranking of the candidates; this includes some well known strategies studied before such as hiring above the median. We give general limit theorems for the…

Probability · Mathematics 2018-09-12 Svante Janson

We study the impact of strategic behavior in labor markets characterized by algorithmic monoculture, where firms compete for a shared pool of applicants using a common algorithmic evaluation. In this setting, "naive" hiring strategies lead…

Computer Science and Game Theory · Computer Science 2026-02-19 Jackie Baek , Hamsa Bastani , Shihan Chen

A fundamental decision faced by a firm hiring employees - and a familiar one to anyone who has dealt with the academic job market, for example - is deciding what caliber of candidates to pursue. Should the firm try to increase its…

Computer Science and Game Theory · Computer Science 2014-12-08 Jon Kleinberg , Sigal Oren

Mergers and Acquisitions represent important forms of business deals, both because of the volumes involved in the transactions and because of the role of the innovation activity of companies. Nevertheless, Economic Complexity methods have…

Physics and Society · Physics 2023-04-26 Lorenzo Arsini , Matteo Straccamore , Andrea Zaccaria

While executives emphasize that human resources (HR) are a firm's biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous…

Optimization and Control · Mathematics 2017-08-08 Hadi Moheb-Alizadeh , Robert B. Handfield

Crowdsourcing and human computation has been employed in increasingly sophisticated projects that require the solution of a heterogeneous set of tasks. We explore the challenge of building or hiring an effective team, for performing tasks…

Human-Computer Interaction · Computer Science 2015-08-14 Adish Singla , Eric Horvitz , Pushmeet Kohli , Andreas Krause

Most online platforms strive to learn from interactions with users, and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information. We study the interplay between exploration and competition:…

Computer Science and Game Theory · Computer Science 2024-10-15 Guy Aridor , Yishay Mansour , Aleksandrs Slivkins , Zhiwei Steven Wu

This paper views hiring as a contextual bandit problem: to find the best workers over time, firms must balance exploitation (selecting from groups with proven track records) with exploration (selecting from under-represented groups to learn…

General Economics · Economics 2024-11-07 Danielle Li , Lindsey Raymond , Peter Bergman

[Context]Advancement in technologies, popularity of small-batch manufacturing and the recent trend of investing in hardware startups are among the factors leading to the rise of hardware startups nowadays. It is essential for hardware…

Software Engineering · Computer Science 2018-08-20 Anh Nguyen Duc , Xiaofang Weng , Pekka Abrahamsson

The recent trend for acquiring big data assumes that possessing quantitatively more and qualitatively finer data necessarily provides an advantage that may be critical in competitive situations. Using a model complex adaptive system where…

Physics and Society · Physics 2018-08-15 V. Sasidevan , Appilineni Kushal , Sitabhra Sinha

We consider a natural dynamic staffing problem in which a decision-maker sequentially hires workers over a finite horizon to meet an unknown demand revealed at the end. Predictions about demand arrive over time and become increasingly…

Data Structures and Algorithms · Computer Science 2025-10-21 Yiding Feng , Vahideh Manshadi , Rad Niazadeh , Saba Neyshabouri

This paper highlights the potential for negative dynamic consequences of recent trends towards the formation of "skill-hubs". I first show evidence that skill acquisition is biased towards skills which are in demand in local labor markets.…

General Economics · Economics 2022-09-09 Benjamin Niswonger

Employee attrition is an important and complex problem that can directly affect an organisation's competitiveness and performance. Explaining the reasons why employees leave an organisation is a key human resource management challenge due…

Machine Learning · Computer Science 2023-03-09 André Artelt , Andreas Gregoriades

We empirically study the interplay between exploration and competition. Systems that learn from interactions with users often engage in exploration: making potentially suboptimal decisions in order to acquire new information for future…

Computer Science and Game Theory · Computer Science 2019-05-03 Guy Aridor , Kevin Liu , Aleksandrs Slivkins , Zhiwei Steven Wu
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