Norms of Distributive Justice in Interest Arbitration

How researchers see this paper

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Algorithm appreciation: People prefer algorithmic to human judgment (2019, unknown): “Our results challenge the widespread assertion that people are averse to algorithms (Bazerman, 1985; Dawes, 1979; Dawes, Faust, & Meehl, 1989; Kleinmuntz, 1990; Kleinmuntz & Schkade, 1993; Meehl, 1954; Meehl, 1957).”
Organizational Behavior and Human Decision Processes (2019, unknown): “Our results challenge the widespread assertion that people are averse to algorithms (Bazerman, 1985; Dawes, 1979; Dawes et al., 1989; Kleinmuntz, 1990; Kleinmuntz & Schkade, 1993; Meehl, 1954; Meehl, 1957).”
Gradualism in Bargaining and Contribution Games (2004, background): “After the T th round, the 10See for example Bazerman (1985). session is closed.”
Which Is the Fairest One of All? A Positive Analysis of Justice Theories (2003, background): “Max Bazerman (1985) reports evidence suggesting that such an endowment effect influences the wage decisions of real arbitrators.”
When do people rely on algorithms (2016, background): “Theoretical Implications The results introduce an interesting contrast to the widespread assumption that people are averse to algorithms (Bazerman, 1985; Dawes, 1979; Dawes, Faust, & Meehl, 1989; Kleinmuntz, 1990; Kleinmuntz & Schkade, 1993; Meehl, 1954; Meehl, 1957).”