Small Numbers Bargaining in the Age of Big Data: Evidence From a Two-Sided Labor Matching Platform

Barach, Moshe; Kaul, Aseem; Leung, Ming D.; Lu, Sibo

doi:10.2139/ssrn.3277455

Cited by 3 publications

(4 citation statements)

References 81 publications

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“…Recommender systems are a common tool on e-commerce platforms and frequently incorporate machine learning or artificial intelligence algorithms in the creation of their recommendations (Adomavicius and Tuzhilin 2005). Barach et al (2018b) show that the use of recommendation systems for sellers can substitute for explicit monetary incentives in online marketplaces, highlighting one method by which firms can use artificial intelligence technologies to cut costs. Barach et al (2018aBarach et al ( , 2018b) study recommendation systems in online labor marketplaces and find that firms use AI-driven recommendations to identify an initial set of generally acceptable partners before relying on internal capabilities to select the best match.…”

Section: Algorithmic Decision-making and Biasmentioning

confidence: 99%

“…Barach et al (2018b) show that the use of recommendation systems for sellers can substitute for explicit monetary incentives in online marketplaces, highlighting one method by which firms can use artificial intelligence technologies to cut costs. Barach et al (2018aBarach et al ( , 2018b) study recommendation systems in online labor marketplaces and find that firms use AI-driven recommendations to identify an initial set of generally acceptable partners before relying on internal capabilities to select the best match. In particular, the use of the recommendation system is used less for specialized jobs and for experienced employees.…”

Section: Algorithmic Decision-making and Biasmentioning

confidence: 99%

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Primer on artificial intelligence and robotics

Raj

Seamans

2019

J Org Design

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This article provides an introduction to artificial intelligence, robotics, and research streams that examine the economic and organizational consequences of these and related technologies. We describe the nascent research on artificial intelligence and robotics in the economics and management literature and summarize the dominant approaches taken by scholars in this area. We discuss the implications of artificial intelligence, robotics, and automation for organizational design and firm strategy, argue for greater engagement with these topics by organizational and strategy researchers, and outline directions for future research.

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Section: Algorithmic Decision-making and Biasmentioning

confidence: 99%

Section: Algorithmic Decision-making and Biasmentioning

confidence: 99%

Primer on artificial intelligence and robotics

Raj

Seamans

2019

J Org Design

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“…Certain applications in the field of robotics necessitate robots to perform predetermined behaviors without the inclusion of supplementary cognitive functionalities. Although AI and robots are distinct concepts, they possess a synergistic relationship that enables them to collaborate effectively, resulting in a diverse array of advantages and progress across numerous domains [18][19][20][21].…”

Section: Is There a Distinction Between Ai Andmentioning

confidence: 99%

Synergy Between AI and Robotics: A Comprehensive Integration

Ness,

Shepherd,

Xuan

2023

AJRCoS

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The emergence of artificial intelligence is mostly linked to software-driven robotic systems, including mobile robots, unmanned aerial aircraft, and, to a growing extent, semi-autonomous automobiles. Nevertheless, the significant disparity between the algorithmic realm and the physical realm hinders current systems from achieving the desired outcome of creating intelligent and user-friendly robots that can effectively engage with and manipulate our human-centric environment. The nascent field of machine intelligence (MI), which combines robotics and artificial intelligence, strives to develop reliable and embodiment-aware artificial intelligence systems. These systems possess self-awareness and an understanding of their environment, enabling them to adapt to the interacting body they are operating. The incorporation of artificial intelligence (AI) and robotics into control, perception, and machine-learning systems is necessary for the realization of fully autonomous intelligent systems in our everyday existence. This review provides an overview of the historical development of machine intelligence, tracing its origins to the twelfth century. It then proceeds to examine the present state of robotics and artificial intelligence (AI), discussing significant systems and contemporary research directions. Additionally, the article outlines the remaining challenges in these fields and speculates on the potential future of human-machine interactions that has yet to be realized.

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“…These benefits were larger when hiring candidates with better non-cognitive skills rather than better cognitive skills. Finally, one study finds that while AI-based recommendations affect employers' decisions about which job applicants to review in more detail, they do not affect employers' choices of whom to hire [8]. A related group of studies has revealed that AI-based recommendation systems are used less often for specialized jobs or when experienced workers are sought.…”

Section: Information Analysis Using Ai: Screening Of Job Applicantsmentioning

confidence: 99%