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Algorithmic decision-making in organizations: a systematic review toward an integrated tension alignment framework
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References

  • 2021The PRISMA 2020 statement: An updated guideline for reporting systematic reviews11,672 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2020Human Trust in Artificial Intelligence: Review of Empirical Research2,874 cited
  • 2009The SAGE handbook of organizational research methods2,127 cited
  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 2013Leadership theory and research in the new millennium: Current theoretical trends and changing perspectives1,425 cited
  • 2016Grand Challenges and Inductive Methods: Rigor without Rigor Mortis1,137 cited
  • 2018Working and organizing in the age of the learning algorithm924 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads854 cited
  • 2019A systematic review of algorithm aversion in augmented decision making809 cited
  • 2021Algorithmic bias: review, synthesis, and future research directions767 cited
  • 2017Fair, Transparent, and Accountable Algorithmic Decision-making Processes707 cited
  • 2015Editors’ Comment606 cited
  • 2020When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions548 cited

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  • 2021Algorithmic management in a work context529 cited
  • 2021Algorithms as work designers: How algorithmic management influences the design of jobs506 cited
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