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Evaluating human behaviour in response to AI recommendations for judgemental forecasting
16 references·8 citing·45 second hop
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(2011)Psychological foundations of dynamic capabilities: reflexion and reflection in strategic management (2011)Crises and Crisis Management: Integration, Interpretation, and Research Development (2016)The illusion of control. (1975)Supply chain forecasting: Theory, practice, their gap and the future (2015)Understanding algorithm aversion: When is advice from automation discounted? (2017)Judgment Under Uncertainty: Heuristics and Biases. (1984)The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. 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(1979)Preference and belief: Ambiguity and competence in choice under uncertainty (1991)The trouble with overconfidence. (2008)Algorithm appreciation: People prefer algorithmic to human judgment (2019)Algorithms at Work: The New Contested Terrain of Control (2019)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Group Buying on the Web: A Comparison of Price-Discovery Mechanisms (2003)Quality Improvement Incentives and Product Recall Cost Sharing Contracts (2009)Sources of Supply Chain Disruptions, Factors That Breed Vulnerability, and Mitigating Strategies (2009)
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References

  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2007Exploring Intuition and its Role in Managerial Decision Making1,511 cited
  • 2019Production and Operations Analysis938 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • 2006Judgmental forecasting: A review of progress over the last 25years535 cited
  • 2009Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning447 cited
  • 2015The Operational Value of Social Media Information395 cited
  • 2019Retail forecasting: Research and practice357 cited
  • 2012Managers and Students as Newsvendors279 cited
  • 2018Forecasting sales in the supply chain: Consumer analytics in the big data era271 cited
  • 2013Overconfidence in Newsvendor Orders: An Experimental Study267 cited
  • 2017How Research in Production and Operations Management May Evolve in the Era of Big Data243 cited
  • 2007Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting225 cited
  • 2010Ordering Behavior in Retail Stores and Implications for Automated Replenishment216 cited
  • 2013

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Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts
193 cited
  • 2020When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business147 cited
  • Cited by

    • 2022The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice98 cited
    • 2023Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics63 cited
    • 2024Artificial intelligence in supply chain management: enablers and constraints in pre-development, deployment, and post-development stages57 cited
    • 2025Application of artificial intelligence in demand planning for supply chains: a systematic literature review38 cited
    • 2022Use of contextual and model-based information in adjusting promotional forecasts29 cited
    • 2024Do managers trust AI? An exploratory research based on social comparison theory18 cited
    • 2024Examining Behavioral Biases in Discretionary Pricing: Evidence from Field and Lab Experiments9 cited
    • 2025Seizing the Potential of Algorithms: The Power of Personalized Persuasive Messages on the Use of Algorithmic Advice1 cited