Artificial intelligence (AI) clearly can benefit standard business models, in which firms sell products to buyers. But the outcomes of greater reliance on AI in peer-to-peer marketplaces, also known as lateral exchange markets (LEMs), might differ. Deploying AI likely improves outcomes for buyers and sellers (separately), as well as the effectiveness of their matching. In contrast, contingencies related to the power of the LEM and the presence and interaction of buyers and sellers (consociality) may evoke a dark side of AI. Guided by literature on LEMs, AI, and agency theory, the current work establishes buy-and sell-side tensions that arise when LEMs deploy AI. With a unique focus on buyers and sellers (cf. platforms) in LEMs and careful attention to the dark side, as well as the bright side, of AI, this article offers novel perspectives and implications for research and practice.
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Massachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USAMassachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USA
Hashimoto, Daniel A.
Rosman, Guy
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MIT, Comp Sci & Artificial Intelligence Lab, Boston, MA USAMassachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USA
Rosman, Guy
Rus, Daniela
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MIT, Comp Sci & Artificial Intelligence Lab, Boston, MA USAMassachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USA
Rus, Daniela
Meireles, Ozanan R.
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Massachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USAMassachusetts Gen Hosp, Dept Surg, 55 Fruit St,GRB 425, Boston, MA 02114 USA
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Univ Calif San Francisco, San Francisco, CA USA
Univ Calif San Francisco, Dept Med, 505 Parnassus Ave,M1480, San Francisco, CA 94117 USAUniv Calif San Francisco, San Francisco, CA USA
Ostrer, Isabel
Aronson, Louise
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Univ Calif San Francisco, San Francisco, CA USAUniv Calif San Francisco, San Francisco, CA USA