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Comparing Different Kinds of Influence on an Algorithm in Its Forecasting Process and Their Impact on Algorithm Aversion
16 references·0 citing·44 second hop
Comparing Different Kinds of Influence on an Algorithm in Its Forecasting Process and Their Impact on Algorithm Aversion (2022)Comparing Different Kinds of Influence on…What influences algorithmic decision-making? A systematic literature review on algorithm aversion (2021)What influences algorithmic d…Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversion (2020)Why are we averse towards Alg…When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business (2020)When Will Workers Follow an A…Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn (2020)Watch Me Improve—Algorithm Av…The impact of using algorithms for managerial decisions on public employees' procedural justice (2020)The impact of using algorithm…Algorithm appreciation: People prefer algorithmic to human judgment (2019)Algorithm appreciation: Peopl…A systematic review of algorithm aversion in augmented decision making (2019)A systematic review of algori…Applying artificial intelligence: implications for recruitment (2018)Applying artificial intellige…Understanding algorithm aversion: When is advice from automation discounted? (2017)Understanding algorithm avers…Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them (2016)Overcoming Algorithm Aversion…Computer-based personality judgments are more accurate than those made by humans (2015)Computer-based personality ju…Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Algorithm Aversion: People Er…The relative influence of advice from human experts and statistical methods on forecast adjustments (2009)The relative influence of adv…Stubborn Reliance on Intuition and Subjectivity in Employee Selection (2008)Stubborn Reliance on Intuitio…z-Tree: Zurich toolbox for ready-made economic experiments (2007)z-Tree: Zurich toolbox for re…The robust beauty of improper linear models in decision making. (1979)The robust beauty of improper…Financial Ratios As Predictors of Failure (1966)Linear models in decision making. (1974)Judgment under Uncertainty: Heuristics and Biases (1975)A circumplex model of affect. (1980)Individual differences in reasoning: Implications for the rationality debate? (2000)Heuristic Decision Making (2010)Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI) (1992)The international personality item pool and the future of public-domain personality measures (2005)The Revised NEO Personality Inventory (NEO-PI-R) (2008)Beyond misinformation: Understanding and coping with the “post-truth” era. (2017)Working and organizing in the age of the learning algorithm (2018)Countering Misinformation and Fake News Through Inoculation and Prebunking (2021)Handbook of industrial and organizational psychology (1993)The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. (1998)A perspective on judgment and choice: Mapping bounded rationality. (2003)A Dialectic Perspective on Innovation: Conflicting Demands, Multiple Pathways, and Ambidexterity (2009)People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error (2020)The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers (2021)The wisdom of crowds: why the many are smarter than the few and how collective wisdom shapes business, economies, societies and nations (2004)The trouble with overconfidence. (2008)Human Decisions and Machine Predictions (2017)Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)In AI we trust? Perceptions about automated decision-making by artificial intelligence (2020)Judgment under Uncertainty (1982)Nudge: improving decisions about health, wealth, and happiness (2008)Algorithmic management in a work context (2021)Forecasting: theory and practice (2022)The affect heuristic in judgments of risks and benefits (2000)Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World (2019)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Preference and belief: Ambiguity and competence in choice under uncertainty (1991)Algorithms at Work: The New Contested Terrain of Control (2019)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)User Acceptance of Information Technology: Toward A Unified View1 (2003)Using thematic analysis in psychology (2006)Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework (2024)Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity (2024)Complementarity in human-AI collaboration: concept, sources, and evidence (2025)Are people conditionally cooperative? Evidence from a public goods experiment (2001)Altruistic punishment in humans (2002)Do Women Shy Away From Competition? Do Men Compete Too Much? (2007)May the bots be with you! Delivering HR cost-effectiveness and individualised employee experiences in an MNE (2020)Human resources analytics: A systematization of research topics and directions for future research (2021)Opportunities and risks of artificial intelligence in recruitment and selection (2021)
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References

  • 2007z-Tree: Zurich toolbox for ready-made economic experiments9,517 cited
  • 2014Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err3,203 cited
  • 2019Algorithm appreciation: People prefer algorithmic to human judgment2,045 cited
  • 1979The robust beauty of improper linear models in decision making.1,969 cited
  • 2016Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them1,225 cited
  • 2015Computer-based personality judgments are more accurate than those made by humans1,085 cited
  • 2019A systematic review of algorithm aversion in augmented decision making809 cited
  • 2021What influences algorithmic decision-making? A systematic literature review on algorithm aversion597 cited
  • 2008Stubborn Reliance on Intuition and Subjectivity in Employee Selection496 cited
  • 2018Applying artificial intelligence: implications for recruitment379 cited
  • 2009The relative influence of advice from human experts and statistical methods on forecast adjustments341 cited
  • 2017Understanding algorithm aversion: When is advice from automation discounted?308 cited
  • 2020Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn183 cited
  • 2020The impact of using algorithms for managerial decisions on public employees' procedural justice

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166 cited
  • 2020Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversion156 cited
  • 2020When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business147 cited
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