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REVIEW 1 major objections 233 references

A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending

T0 review · 1 major / 0 minor · reviewed 2026-07-02 · grok-4.3

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Pith's one-line read Limiting overrides to two per machine lets workers reduce inventory by 1.28% without losing sales.

desk verdict The vending RCT shows a two-override limit cuts inventory 1.28% with no sales drop while free overrides hurt sales, but the selective-SKU mechanism rests on an untested exclusion restriction. read the letter →

arxiv 2607.00420 v1 pith:NCHDWXW2 submitted 2026-07-01 cs.HC

Minda Zhao , Brian Rongqing Han , Xin Chen , Tao Zhu This is my paper
classification cs.HC
keywords humansupervisionofAIoverridepolicydesignfieldexperimentinventorymanagementsmartvendingmachinesdiscretionlimitsselectivefiltering
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper tests whether limiting how often workers can override an AI's inventory decisions improves outcomes. It finds that capping downward overrides at two per vending machine reduces stock levels by 1.28 percent while keeping sales steady, because workers focus overrides on the most valuable items. Free overrides, by contrast, cut both inventory and sales. This matters for any setting where humans supervise autonomous systems, as it shows a low-cost way to capture useful private information without letting bias degrade performance.

What carries the argument

The constrained override policy that limits the number of overrides per decision episode to enable selective filtering of high-value cases.

What would settle it

Finding that the SKUs overridden under the constrained policy are no higher value than those overridden without the limit, yet sales still hold steady, would challenge the claim that selective filtering drives the result.

Watch

Extended reading notes

Core claim

In a randomized experiment with 553 workers managing smart vending machines, a policy limiting downward overrides to two per machine produced a 1.28 percent inventory reduction with no sales decline. Workers under this constraint selected higher-value SKUs to override compared to those with unlimited overrides, which reduced inventory by 1.95 percent but also cut sales by 1.19 percent. The effect was confirmed through local average treatment effects and was strongest among experienced workers, high-incentive products, and growth-stage SKUs.

Load-bearing premise

That the lack of sales loss under the two-override limit results specifically from workers choosing better SKUs to override, rather than from unrelated differences between the worker groups or machines.

Editorial extensions

If this is right

  • Gains are largest for experienced workers.
  • High-incentive SKUs and growth-stage SKUs benefit most.
  • A simulated personalized policy further increases sales probability by 9.1 percent.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The same limit-based approach might improve human oversight in other operational AI systems such as logistics scheduling.
  • Managers could experiment with adjusting the override cap based on worker tenure or product type to amplify the benefits.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

1 major / 0 minor

Summary. The manuscript reports results from a randomized field experiment with 553 workers at a Chinese smart vending retailer managing over 59,000 machines. It compares no-override, free-override, and constrained (two downward overrides per machine) policies. Free overrides reduce inventory by 1.95% and sales by 1.19%; constrained overrides reduce inventory by 1.28% with no sales loss. The authors interpret the sales preservation as evidence of selective filtering of higher-value SKUs by workers, supported by LATE analysis. Effects are larger for experienced workers, high-incentive SKUs, and growth-stage SKUs; a simulated personalized policy raises sales probability by 9.1%.

Significance. If the causal identification is robust, the work supplies field-experiment evidence on structuring limited human discretion to improve AI-supervised operational decisions, with direct implications for retail inventory, logistics, and resource allocation. The scale of the experiment (thousands of machines, thousands of SKUs) and the low-cost nature of the intervention are strengths that could inform practice without requiring model retraining or information redesign.

major comments (1)
  1. [Abstract] Abstract: the LATE step is presented as confirming that sales preservation occurs because workers select better SKUs under the two-override limit. However, the exclusion restriction—that the constraint affects outcomes solely through override count and selection—is not shown to hold against plausible alternatives (e.g., changes in worker attention, effort reallocation across machines, or compliance patterns). This assumption is load-bearing for the selective-filtering mechanism claim.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for the constructive comment on the identification strategy. We address the concern regarding the LATE exclusion restriction below and propose a targeted revision to strengthen the presentation without altering the core claims.

read point-by-point responses

  1. Referee: [Abstract] Abstract: the LATE step is presented as confirming that sales preservation occurs because workers select better SKUs under the two-override limit. However, the exclusion restriction—that the constraint affects outcomes solely through override count and selection—is not shown to hold against plausible alternatives (e.g., changes in worker attention, effort reallocation across machines, or compliance patterns). This assumption is load-bearing for the selective-filtering mechanism claim.

    Authors: We appreciate the referee raising this identification issue. The LATE in the manuscript instruments the realized number of downward overrides with the randomized two-override constraint to isolate the effect of selective filtering on sales. While direct tests of the exclusion restriction are not feasible, the field-experiment design randomizes the policy at the worker-machine level with no changes to information, incentives, or task structure, making it unlikely that the constraint operates through attention shifts or effort reallocation (workers manage the same machines under all arms). Compliance is high by design, as the limit is mechanically enforced. Nevertheless, to address the concern transparently, we will revise the abstract to state the identifying assumption more explicitly and add a short robustness subsection discussing why alternative channels are implausible given the low-cost, rule-based intervention. This constitutes a partial revision focused on clarity rather than new empirical work. revision: partial

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: results from randomized field experiment with no self-referential derivations

full rationale

The paper reports causal effects from a randomized field experiment assigning workers to override policies, with outcomes measured on inventory and sales. The LATE estimates are standard instrumental-variables applications of the experimental assignment as instrument; they do not reduce any fitted parameter or equation to the input data by construction. No self-citations, ansatzes, or uniqueness theorems are invoked as load-bearing steps. The central claims are therefore externally falsifiable via the experimental design rather than tautological.

Assumptions & free parameters 0 free parameters · 1 assumptions · 0 invented entities

The central claim rests on the internal validity of the randomized experiment and the interpretation that LATE differences reflect selective filtering; no new theoretical entities or fitted parameters are introduced.

assumptions (1)
  • domain assumption Randomized assignment of workers to treatment groups identifies causal effects of the override policies.
    Standard identification assumption required for interpreting the experiment as causal.

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Cite this review

Pith. "Pith review of A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending." pith.science (2026). https://pith.science/paper/NCHDWXW2

@misc{pith2026260700420,
  author       = {Pith},
  title        = {Pith review of: A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/NCHDWXW2}},
  note         = {Machine review of arXiv:2607.00420}
}
read the original abstract

Organizations increasingly deploy autonomous artificial intelligence (AI) systems for operational decisions, such as inventory replenishment. Yet fully granting override rights can degrade performance due to human bias and noise, while prohibiting them may overlook valuable private information. This raises a key question: How should override rights be structured to improve human supervision of autonomous AI? Methodology/results: We propose a constrained override policy that limits overrides per decision episode to enable selective filtering that prioritizes high-value overrides. We tested it through a randomized field experiment with 553 workers at a major Chinese smart vending machine retailer that manages more than 59,000 machines and 4,000 SKUs. Workers were assigned to no overrides, free overrides, or a two-per-machine limit on downward overrides. Free overrides reduce inventory by 1.95% but also cut sales by 1.19%. Constrained overrides reduce inventory by 1.28% without harming sales, as workers select better SKUs to override, confirmed via local average treatment effects. Gains are largest for experienced workers, high-incentive SKUs, and growth-stage SKUs. A simulated personalized policy further increases sales probability by 9.1%. Managerial implications: Academics gain novel insights from the causal effects of discretion design in human-supervised AI, emphasizing selective filtering to enhance decision quality. Managers can benefit from a scalable, low-cost policy for operations such as retail, logistics, and resource planning, reducing excess inventory without sales loss while harnessing private human information, with no need for algorithmic redesign, information customization, or additional training.

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Works this paper leans on

233 extracted references · 233 canonical work pages

  1. [1]

    Management Science , volume=

    Profit implications of judgmental adjustments to forecast inputs: Evidence from a large-scale field experiment , author=. Management Science , volume=. 2025 , publisher=

    work page 2025

  2. [2]

    Abdel-Karim, Benjamin M and Pfeuffer, Nicolas and Carl, K Valerie and Hinz, Oliver , journal=. How

    work page

  3. [3]

    The Review of Economic Studies , volume=

    Optimal delegation , author=. The Review of Economic Studies , volume=. 2008 , publisher=

    work page 2008

  4. [4]

    Acta Psychologica , volume=

    A timely account of the role of duration in decision making , author=. Acta Psychologica , volume=. 2001 , publisher=

    work page 2001

  5. [5]

    Journal of Public Economics , volume=

    Higher education as a filter , author=. Journal of Public Economics , volume=. 1973 , publisher=

    work page 1973

  6. [6]

    AEA Papers and Proceedings , volume =

    The Allocation of Decision Authority to Human and Artificial Intelligence , author =. AEA Papers and Proceedings , volume =. 2020 , month =

    work page 2020

  7. [7]

    Management Science , volume=

    Human-Algorithm Collaboration with Private Information: Naïve Advice-Weighting Behavior and Mitigation , author=. Management Science , volume=

    work page

  8. [8]

    Management Science , volume=

    Helping small businesses become more data-driven: A field experiment on eBay , author=. Management Science , volume=. 2024 , publisher=

    work page 2024

Show all 233 references
  1. [9]

    Management Science , volume=

    Improving Human Sequential Decision Making with Reinforcement Learning , author=. Management Science , volume=

  2. [10]

    Journal of Operations Management , volume=

    Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics , author=. Journal of Operations Management , volume=. 2023 , publisher=

    2023

  3. [11]

    American Economic Review , volume=

    The rapid adoption of data-driven decision-making , author=. American Economic Review , volume=. 2016 , publisher=

    2016

  4. [12]

    What can machine learning do?

    Brynjolfsson, Erik and Mitchell, Tom , journal=. What can machine learning do?. 2017 , publisher=

    2017

  5. [13]

    The economics of artificial intelligence: An agenda , pages=

    Artificial Intelligence and Behavioral Economics , author=. The economics of artificial intelligence: An agenda , pages=. 2018 , publisher=

    2018

  6. [14]

    Available at SSRN 3640862 , year=

    How Forced Intervention Facilitates Long-term Algorithm Adoption , author=. Available at SSRN 3640862 , year=

  7. [15]

    Believing in analytics: Managers’ adherence to price recommendations from a

    Caro, Felipe and de Tejada Cuenca, Anna S. Believing in analytics: Managers’ adherence to price recommendations from a. Manufacturing & Service Operations Management , volume=. 2023 , publisher=

    2023

  8. [16]

    Proceedings of ICIS 2023 , year=

    Algorithm-Human-Algorithm: A New Classification Approach to Integrating Judgemental Adjustments , author=. Proceedings of ICIS 2023 , year=

    2023

  9. [17]

    Available at SSRN 4365121 , year=

    The impact of a more diversified recommender system on digital platforms: Evidence from a large-scale field experiment , author=. Available at SSRN 4365121 , year=

  10. [18]

    arXiv preprint arXiv:2211.11028 , year=

    Algorithmic decision-making safeguarded by human knowledge , author=. arXiv preprint arXiv:2211.11028 , year=

  11. [19]

    Management Science , volume=

    Information sharing in supply chains: An empirical and theoretical valuation , author=. Management Science , volume=. 2015 , publisher=

    2015

  12. [20]

    2004 , publisher=

    Order Statistics , author=. 2004 , publisher=

    2004

  13. [21]

    Is your machine better than you?

    de V. Is your machine better than you?. Management Science , volume=. 2023 , publisher=

    2023

  14. [22]

    The Review of Economic Studies , volume=

    Authority and communication in organizations , author=. The Review of Economic Studies , volume=. 2002 , publisher=

    2002

  15. [23]

    Psychological Science , volume=

    People reject algorithms in uncertain decision domains because they have diminishing sensitivity to forecasting error , author=. Psychological Science , volume=. 2020 , publisher=

    2020

  16. [24]

    , author=

    Algorithm aversion: People erroneously avoid algorithms after seeing them err. , author=. Journal of Experimental Psychology: General , volume=. 2015 , publisher=

    2015

  17. [25]

    Management Science , volume=

    Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them , author=. Management Science , volume=. 2018 , publisher=

    2018

  18. [26]

    Psychonomic Bulletin & Review , volume=

    Optimal or not; depends on the task , author=. Psychonomic Bulletin & Review , volume=. 2019 , publisher=

    2019

  19. [27]

    Production and Operations Management , volume=

    Modeling strategic behavior in the competitive newsvendor problem: An experimental investigation , author=. Production and Operations Management , volume=. 2017 , publisher=

    2017

  20. [28]

    International Journal of Forecasting , volume=

    Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning , author=. International Journal of Forecasting , volume=. 2009 , publisher=

    2009

  21. [29]

    Management Science , volume=

    Competition-based dynamic pricing in online retailing: A methodology validated with field experiments , author=. Management Science , volume=. 2018 , publisher=

    2018

  22. [30]

    Will humans-in-the-loop become borgs?

    F. Will humans-in-the-loop become borgs?. MIS Quarterly , volume=

  23. [31]

    Information Systems Research , volume=

    Cognitive challenges in human--artificial intelligence collaboration: Investigating the path toward productive delegation , author=. Information Systems Research , volume=. 2022 , publisher=

    2022

  24. [32]

    Management Science , volume=

    The best decisions are not the best advice: Making adherence-aware recommendations , author=. Management Science , volume=. 2024 , publisher=

    2024

  25. [33]

    Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=

    Disparate interactions: An algorithm-in-the-loop analysis of fairness in risk assessments , author=. Proceedings of the Conference on Fairness, Accountability, and Transparency , pages=

  26. [34]

    1963 , publisher=

    Analysis of Inventory Systems , author=. 1963 , publisher=

    1963

  27. [35]

    Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations at

    Brian Rongqing Han and Tianshu Sun and Leon Yang Chu and Lixia Wu and Yinghui Xu , journal =. Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-mile Stations at

  28. [36]

    Available at SSRN 4195014 , year=

    Human-algorithmic bias: Source, evolution, and impact , author=. Available at SSRN 4195014 , year=

  29. [37]

    Management Science , volume=

    Discretionary task ordering: Queue management in radiological services , author=. Management Science , volume=. 2018 , publisher=

    2018

  30. [38]

    Management Science , volume=

    Eliciting human judgment for prediction algorithms , author=. Management Science , volume=. 2021 , publisher=

    2021

  31. [39]

    Econometrica , volume=

    Identification and estimation of local average treatment effects , author=. Econometrica , volume=. 1994 , publisher=

    1994

  32. [40]

    Journal of Personality and Social Psychology , volume=

    When choice is demotivating: Can one desire too much of a good thing? , author=. Journal of Personality and Social Psychology , volume=. 2000 , publisher=

    2000

  33. [41]

    Augmenting medical diagnosis decisions?

    Jussupow, Ekaterina and Spohrer, Kai and Heinzl, Armin and Gawlitza, Joshua , journal=. Augmenting medical diagnosis decisions?. 2021 , publisher=

    2021

  34. [42]

    When will workers follow an algorithm?

    Kawaguchi, Kohei , journal=. When will workers follow an algorithm?. 2021 , publisher=

    2021

  35. [43]

    Management Science , volume=

    Field experiment on the profit implications of merchants’ discretionary power to override data-driven decision-making tools , author=. Management Science , volume=. 2020 , publisher=

    2020

  36. [44]

    Evaluating human behaviour in response to

    Khosrowabadi, Naghmeh and Hoberg, Kai and Imdahl, Christina , journal=. Evaluating human behaviour in response to. 2022 , publisher=

    2022

  37. [45]

    Available at SSRN 4773773 , year=

    Human-computer interactions in demand forecasting and labor scheduling decisions , author=. Available at SSRN 4773773 , year=

  38. [46]

    To engage or not to engage with

    Lebovitz, Sarah and Lifshitz-Assaf, Hila and Levina, Natalia , journal=. To engage or not to engage with. 2022 , publisher=

    2022

  39. [47]

    Production and Operations Management , volume=

    The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice , author=. Production and Operations Management , volume=. 2022 , publisher=

    2022

  40. [48]

    Production and Operations Management , volume=

    Transshipment between overconfident newsvendors , author=. Production and Operations Management , volume=. 2021 , publisher=

    2021

  41. [49]

    Production and Operations Management , volume=

    Overconfident distribution channels , author=. Production and Operations Management , volume=. 2019 , publisher=

    2019

  42. [50]

    Production and Operations Management , volume=

    Examining Behavioral Biases in Discretionary Pricing: Evidence from Field and Lab Experiments , author=. Production and Operations Management , volume=. 2024 , publisher=

    2024

  43. [51]

    Management Science , volume=

    Algorithm aversion: Evidence from ridesharing drivers , author=. Management Science , volume=. 2023 , publisher=

    2023

  44. [52]

    Lou, Bowen and Wu, Lynn , journal=

  45. [53]

    1 + 1 > 2?

    Lu, Tian and Zhang, Yingjie , journal=. 1 + 1 > 2?. 2025 , publisher=

    2025

  46. [54]

    humans: The impact of artificial intelligence chatbot disclosure on customer purchases , author=

    Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases , author=. Marketing Science , volume=. 2019 , publisher=

    2019

  47. [55]

    Production and Operations Management , volume=

    How to compete against a behavioral newsvendor , author=. Production and Operations Management , volume=. 2015 , publisher=

    2015

  48. [56]

    Management Science , volume=

    The editor and the algorithm: Recommendation technology in online news , author=. Management Science , volume=. 2024 , publisher=

    2024

  49. [57]

    Management Science , volume=

    The effectiveness of field price discretion: Empirical evidence from auto lending , author=. Management Science , volume=. 2015 , publisher=

    2015

  50. [58]

    Production and Operations Management , volume=

    Behavioral ordering, competition and profits: An experimental investigation , author=. Production and Operations Management , volume=. 2019 , publisher=

    2019

  51. [59]

    Journal of the Operational Research Society , volume=

    The overconfident newsvendor , author=. Journal of the Operational Research Society , volume=. 2017 , publisher=

    2017

  52. [60]

    Management Science , volume=

    Overconfidence in newsvendor orders: An experimental study , author=. Management Science , volume=. 2013 , publisher=

    2013

  53. [61]

    Journal of Educational Psychology , volume=

    Estimating causal effects of treatments in randomized and nonrandomized studies , author=. Journal of Educational Psychology , volume=

  54. [62]

    Bounds for expectations of

    Rychlik, Tomasz , journal=. Bounds for expectations of. 1998 , publisher=

    1998

  55. [63]

    Sementic Scholar , pages=

    Decision-making under cognitive constraints: Evidence from the emergency department , author=. Sementic Scholar , pages=

  56. [64]

    The Quarterly Journal of Economics , volume=

    A behavioral model of rational choice , author=. The Quarterly Journal of Economics , volume=. 1955 , publisher=

    1955

  57. [65]

    Journal of Monetary Economics , volume=

    Implications of rational inattention , author=. Journal of Monetary Economics , volume=. 2003 , publisher=

    2003

  58. [66]

    Management Science , volume=

    Algorithm Reliance: Fast and Slow , author=. Management Science , volume=

  59. [67]

    The Quarterly Journal of Economics , volume=

    Job market signaling , author=. The Quarterly Journal of Economics , volume=. 1973 , publisher=

    1973

  60. [68]

    Available at SSRN 4851815 , year=

    Reluctant to decrease: Human-algorithm collaboration in tactical inventory decisions , author=. Available at SSRN 4851815 , year=

  61. [69]

    Manufacturing & Service Operations Management , volume=

    Bounded rationality in newsvendor models , author=. Manufacturing & Service Operations Management , volume=. 2008 , publisher=

    2008

  62. [70]

    Management Science , volume=

    Predicting human discretion to adjust algorithmic prescription: A large-scale field experiment in warehouse operations , author=. Management Science , volume=. 2022 , publisher=

    2022

  63. [71]

    Information Systems Research , volume=

    Motivating effective mobile app adoptions: Evidence from a large-scale randomized field experiment , author=. Information Systems Research , volume=. 2019 , publisher=

    2019

  64. [72]

    Production and Operations Management , volume=

    Behavioral drivers of routing decisions: Evidence from restaurant table assignment , author=. Production and Operations Management , volume=. 2020 , publisher=

    2020

  65. [73]

    Management Science , volume=

    Ordering behavior in retail stores and implications for automated replenishment , author=. Management Science , volume=. 2010 , publisher=

    2010

  66. [74]

    Management Science , volume=

    The Power of Disagreement: A Field Experiment to Investigate Human-Algorithm Collaboration in Loan Evaluations , author=. Management Science , volume=

  67. [75]

    The Value of

    Wolczynski, Nicholas and Saar-Tsechansky, Maytal and Wang, Tong , journal=. The Value of

  68. [76]

    , author=

    Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , author=. Psychological review , volume=. 1993 , publisher=

    1993

  69. [77]

    , author=

    Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. , author=. science , volume=. 1974 , publisher=

    1974

  70. [78]

    Journal of Public Economics , volume=

    Choice proliferation, simplicity seeking, and asset allocation , author=. Journal of Public Economics , volume=. 2010 , publisher=

    2010

  71. [79]

    Proceedings of the ACM on Human-computer Interaction , volume=

    Understanding the role of human intuition on reliance in human-AI decision-making with explanations , author=. Proceedings of the ACM on Human-computer Interaction , volume=. 2023 , publisher=

    2023

  72. [80]

    University of Miami Business School Research Paper , number=

    The role of AI assistants in livestream selling: Evidence from a randomized field experiment , author=. University of Miami Business School Research Paper , number=

  73. [81]

    Available at SSRN 3503603 , year=

    Good explanation for algorithmic transparency , author=. Available at SSRN 3503603 , year=

  74. [82]

    Management Science , volume=

    Does technology substitute for nurses? Staffing decisions in nursing homes , author=. Management Science , volume=. 2018 , publisher=

    2018

  75. [83]

    arXiv preprint arXiv:2201.03092 , year=

    Uncovering the source of machine bias , author=. arXiv preprint arXiv:2201.03092 , year=

  76. [84]

    The Journal of Finance , volume=

    Predictably unequal? The effects of machine learning on credit markets , author=. The Journal of Finance , volume=. 2022 , publisher=

    2022

  77. [85]

    Journal of Accounting Research , volume=

    Man versus machine: Complex estimates and auditor reliance on artificial intelligence , author=. Journal of Accounting Research , volume=. 2022 , publisher=

    2022

  78. [86]

    Manufacturing & Service Operations Management , volume=

    Value of algorithm-enabled process innovation: The case of sepsis , author=. Manufacturing & Service Operations Management , volume=. 2023 , publisher=

    2023

  79. [87]

    pull-to-center

    Newsvendor “pull-to-center” effect: Adaptive learning in a laboratory experiment , author=. Manufacturing & Service Operations Management , volume=. 2008 , publisher=

    2008

  80. [88]

    Management Science , volume=

    Contracting in supply chains: A laboratory investigation , author=. Management Science , volume=. 2009 , publisher=

    2009

  81. [89]

    Management Science , volume=

    Trust, trustworthiness, and information sharing in supply chains bridging. Management Science , volume=. 2014 , publisher=

    2014

  82. [90]

    Why are we averse towards algorithms?

    Jussupow, Ekaterina and Benbasat, Izak and Heinzl, Armin , year=. Why are we averse towards algorithms?

  83. [91]

    The quarterly journal of economics , volume=

    Boys will be boys: Gender, overconfidence, and common stock investment , author=. The quarterly journal of economics , volume=. 2001 , publisher=

    2001

  84. [92]

    Nature , volume=

    Millions affected by racial bias in health-care algorithm , author=. Nature , volume=. 2019 , publisher=

    2019

  85. [93]

    Supporting Information Integration in Human-

    De-Arteaga, Maria and Holstein, Kenneth , journal=. Supporting Information Integration in Human-

  86. [94]

    Available at SSRN 4292438 , year=

    Sustained Learning Under Algorithm-Driven Automation , author=. Available at SSRN 4292438 , year=

  87. [95]

    Management Science , volume=

    Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence , author=. Management Science , volume=. 2000 , publisher=

    2000

  88. [96]

    Decision Sciences , year=

    Explanation seeking and anomalous recommendation adherence in human-to-human versus human-to-artificial intelligence interactions , author=. Decision Sciences , year=

  89. [97]

    Management Science , volume=

    Demand estimation using managerial responses to automated price recommendations , author=. Management Science , volume=. 2022 , publisher=

    2022

  90. [98]

    Management Science , volume=

    Human and machine: The impact of machine input on decision making under cognitive limitations , author=. Management Science , volume=. 2024 , publisher=

    2024

  91. [99]

    Overcoming Algorithmic Exclusion: Evidence from A Large-Scale Randomized Field Experiment on Human versus

    Shen, Tong and Liang, Chen and Li, Chunxiao and Yuan, Shuliu and Gu, Bin , journal=. Overcoming Algorithmic Exclusion: Evidence from A Large-Scale Randomized Field Experiment on Human versus

  92. [100]

    Available at SSRN 4218952 , year=

    Algorithmic assortment curation: An empirical study of buybox in online marketplaces , author=. Available at SSRN 4218952 , year=

  93. [101]

    Manufacturing & Service Operations Management , volume=

    Learning by doing in the newsvendor problem: A laboratory investigation of the role of experience and feedback , author=. Manufacturing & Service Operations Management , volume=. 2008 , publisher=

    2008

  94. [102]

    Manufacturing & Service Operations Management , volume=

    Demand estimation from censored observations with inventory record inaccuracy , author=. Manufacturing & Service Operations Management , volume=. 2015 , publisher=

    2015

  95. [103]

    Management Science , volume=

    Overconfident competing newsvendors , author=. Management Science , volume=. 2017 , publisher=

    2017

  96. [104]

    arXiv preprint arXiv:2210.12849 , year=

    Learning to Advise Humans in High-Stakes Settings , author=. arXiv preprint arXiv:2210.12849 , year=

  97. [105]

    2023 , note =

    COVID-19 and digital resilience: Evidence from Uber Eats , author=. 2023 , note =

    2023

  98. [106]

    Marketing Sci

    Online display advertising: Targeting and obtrusiveness , author=. Marketing Sci. , volume=. 2011 , publisher=

    2011

  99. [107]

    Value of autonomous last-mile delivery: Evidence from

    Han, Brian Rongqing and Li, Meng and Zhang, Yanan and Li, Peng , journal=. Value of autonomous last-mile delivery: Evidence from

  100. [108]

    Management Science , year=

    Identity Disclosure and Anthropomorphism in Voice Chatbot Design: A Field Experiment , author=. Management Science , year=

  101. [109]

    Empirical assessment of alternative designs for enhancing different types of trusting beliefs in online recommendation agents , author=. J. Management Inform. Systems , volume=. 2016 , publisher=

    2016

  102. [110]

    From Ethical

    Sepp. From Ethical. Proc. 42nd Internat. Conf. Inform. Systems , year=

  103. [111]

    Sociotechnical envelopment of artificial intelligence: An approach to organizational deployment of inscrutable artificial intelligence systems , author=. J. Assoc. Inform. Systems , volume=. 2021 , publisher=

    2021

  104. [112]

    MIS Quart

    Designing Ethical Algorithms , author=. MIS Quart. Executive , volume=

  105. [113]

    Special issue editorial: Artificial intelligence in organizations: Implications for information systems research , author=. J. Assoc. Inform. Systems , volume=

  106. [114]

    2021 , organization =

    Yan, Aihua and Xu, David , booktitle =. 2021 , organization =

    2021

  107. [115]

    Manufacturing Service Oper

    Recharging Retail: Estimating Consumer Demand Spillovers from Electric Vehicle Charging Stations , author=. Manufacturing Service Oper. Management , volume=. 2024 , publisher=

    2024

  108. [116]

    SAE Internat

    Challenges in autonomous vehicle testing and validation , author=. SAE Internat. J. Trans. Safety , volume=. 2016 , publisher=

    2016

  109. [117]

    Internat

    Investigating the importance of trust on adopting an autonomous vehicle , author=. Internat. J. Human-Computer Interaction , volume=. 2015 , publisher=

    2015

  110. [118]

    Beyond the Value for

    Wang, Xiaoxiao and Zhang, Yingjie and Zheng, Jinyang , year =. Beyond the Value for

  111. [119]

    Management Sci

    Capturing the Benefits of Autonomous Vehicles in Ride Hailing: The Role of Market Configuration , author=. Management Sci. , year=

  112. [120]

    MIS Quart

    Perceived usefulness, perceived ease of use, and user acceptance of information technology , author=. MIS Quart. , pages=. 1989 , publisher=

    1989

  113. [121]

    Mobile payment adoption: An empirical investigation of Alipay , author=. Inform. Systems Res. , volume=. 2024 , publisher=

    2024

  114. [122]

    How much should we trust differences-in-differences estimates? , author=. Quart. J. Econom. , volume=. 2004 , publisher=

    2004

  115. [123]

    2023 , note =

    Morris, Chris , title =. 2023 , note =

    2023

  116. [124]

    2023 , journal =

    Morris, Chris , title =. 2023 , journal =

    2023

  117. [125]

    2022 , journal =

    Vartabedian, Marc , title =. 2022 , journal =

    2022

  118. [126]

    Autonomous Last Mile Delivery Market Size, Share & Trends Analysis Report By Range (Short, Long), By Solution (Services, Software), By End-use (Food & Beverage, Retail), By Platform, And Segment Forecasts, 2023--2030 , note =. 2023

    2023

  119. [127]

    Management Sci

    Battle of the channels: The impact of tablets on digital commerce , author=. Management Sci. , volume=. 2017 , publisher=

    2017

  120. [128]

    Monetizing freemium communities:

    Bapna, Ravi and Ramaprasad, Jui and Umyarov, Akhmed , journal=. Monetizing freemium communities:

  121. [129]

    MIT Sloan management review , year=

    Winning the last mile of e-commerce , author=. MIT Sloan management review , year=

  122. [130]

    Transportation Sci

    Approximating the performance of a ``last mile" transportation system , author=. Transportation Sci. , volume=. 2016 , publisher=

    2016

  123. [131]

    Last-mile shared delivery: A discrete sequential packing approach , author=. Math. Oper. Res. , volume=. 2020 , publisher=

    2020

  124. [132]

    Manufacturing Service Oper

    Shared mobility for last-mile delivery: Design, operational prescriptions, and environmental impact , author=. Manufacturing Service Oper. Management , volume=. 2018 , publisher=

    2018

  125. [133]

    Management Sci

    On-time last-mile delivery: Order assignment with travel-time predictors , author=. Management Sci. , volume=. 2021 , publisher=

    2021

  126. [134]

    Manufacturing Service Oper

    Crowdsourcing last-mile deliveries , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  127. [135]

    Provably good region partitioning for on-time last-mile delivery , author=. Oper. Res. , year=

  128. [136]

    Manufacturing Service Oper

    On-Demand Delivery from Stores: Dynamic Dispatching and Routing with Random Demand , author=. Manufacturing Service Oper. Management , volume=. 2023 , publisher=

    2023

  129. [137]

    Available at SSRN 4206229 , year=

    The value of logistic flexibility in E-commerce , author=. Available at SSRN 4206229 , year=

  130. [138]

    The value of last-mile delivery in online retail

    Lu, Zhikun and Cui, Ruomeng and Sun, Tianshu and Wu, Lixia , year=. The value of last-mile delivery in online retail. , note =

  131. [139]

    , author=

    The effect of autonomous vehicles on consumer welfare in ride-hailing markets. , author=

  132. [140]

    Manufacturing Service Oper

    Ride-hailing platforms: Competition and autonomous vehicles , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  133. [141]

    Production Oper

    Getting out of your own way: Introducing autonomous vehicles on a ride-hailing platform , author=. Production Oper. Management , volume =

  134. [142]

    Management Sci

    A queueing model and analysis for autonomous vehicles on highways , author=. Management Sci. , volume=. 2021 , publisher=

    2021

  135. [143]

    Manufacturing Service Oper

    Introducing autonomous vehicles: Adoption patterns and impacts on social welfare , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  136. [144]

    Manufacturing Service Oper

    When shared autonomous electric vehicles meet microgrids: Citywide energy-mobility orchestration , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  137. [145]

    Stall economy: The value of mobility in retail on wheels , author=. Oper. Res. , volume=. 2023 , publisher=

    2023

  138. [146]

    Autonomous last-mile delivery based on the cooperation of multiple heterogeneous unmanned ground vehicles , author=. Math. Probl. Eng. , volume=. 2021 , publisher=

    2021

  139. [147]

    Management Sci

    The value of autonomous vehicles for last-mile deliveries in urban environments , author=. Management Sci. , volume=. 2022 , publisher=

    2022

  140. [148]

    Transportation Sci

    Impact of autonomous vehicle assisted last-mile delivery in urban to rural settings , author=. Transportation Sci. , volume=. 2022 , publisher=

    2022

  141. [149]

    Management Sci

    Coordinated logistics with a truck and a drone , author=. Management Sci. , volume=. 2018 , publisher=

    2018

  142. [150]

    Retail deliveries by drones:

    Perera, Sandun and Dawande, Milind and Janakiraman, Ganesh and Mookerjee, Vijay , journal=. Retail deliveries by drones:. 2020 , publisher=

    2020

  143. [151]

    , author=

    Leapfrogging for Last-mile Delivery in Health Care: Drone Delivery for Blood Products in Rwanda. , author=

  144. [152]

    The value of rapid delivery in omnichannel retailing , author=. J. Marketing Res. , volume=. 2019 , publisher=

    2019

  145. [153]

    Manufacturing Service Oper

    On-demand meal delivery platforms: Operational level data and research opportunities , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  146. [154]

    Value of high-quality logistics:

    Cui, Ruomeng and Li, Meng and Li, Qiang , journal=. Value of high-quality logistics:. 2020 , publisher=

    2020

  147. [155]

    Manufacturing Service Oper

    Logistics performance, ratings, and its impact on customer purchasing behavior and sales in e-commerce platforms , author=. Manufacturing Service Oper. Management , volume=. 2023 , publisher=

    2023

  148. [156]

    Marketing Sci

    Mobile app introduction and online and offline purchases and product returns , author=. Marketing Sci. , volume=. 2019 , publisher=

    2019

  149. [157]

    Algorithm appreciation: People prefer algorithmic to human judgment , author=. Organ. Behav. Human Decision Processes , volume=. 2019 , publisher=

    2019

  150. [158]

    Manufacturing & Service Operations Management , volume=

    The impacts of algorithmic work assignment on fairness perceptions and productivity: Evidence from field experiments , author=. Manufacturing & Service Operations Management , volume=. 2022 , publisher=

    2022

  151. [159]

    Growth, adoption, and use of mobile E-commerce , author=. Amer. Econom. Rev. , volume=. 2014 , publisher=

    2014

  152. [160]

    Digital experimentation and startup performance:

    Koning, Rembrand and Hasan, Sharique and Chatterji, Aaron , year=. Digital experimentation and startup performance:

  153. [161]

    Experimentation and start-up performance:

    Koning, Rembrand and Hasan, Sharique and Chatterji, Aaron , journal=. Experimentation and start-up performance:. 2022 , publisher=

    2022

  154. [162]

    Design-based analysis in difference-in-differences settings with staggered adoption , author=. J. Econometrics , volume=. 2022 , publisher=

    2022

  155. [163]

    Biometrika , volume=

    The central role of the propensity score in observational studies for causal effects , author=. Biometrika , volume=. 1983 , publisher=

    1983

  156. [164]

    MIS Quart

    Love unshackled: Identifying the effect of mobile app adoption in online dating , author=. MIS Quart. , volume=

  157. [165]

    Consumer consent and firm targeting after

    Godinho de Matos, Miguel and Adjerid, Idris , journal=. Consumer consent and firm targeting after. 2022 , publisher=

    2022

  158. [166]

    Difference-in-differences with variation in treatment timing , author=. J. Econometrics , volume=. 2021 , publisher=

    2021

  159. [167]

    Difference-in-differences with multiple time periods , author=. J. Econometrics , volume=. 2021 , publisher=

    2021

  160. [168]

    , author=

    Two-way fixed effects, the two-way mundlak regression, and difference-in-differences estimators. , author=

  161. [169]

    Growing out of trouble?

    Gormley, Todd A and Matsa, David A , journal=. Growing out of trouble?. 2011 , publisher=

    2011

  162. [170]

    Estimating dynamic treatment effects in event studies with heterogeneous treatment effects , author=. J. Econometrics , volume=. 2021 , publisher=

    2021

  163. [171]

    How much should we trust staggered difference-in-differences estimates? , author=. J. Financial Econom. , volume=. 2022 , publisher=

    2022

  164. [172]

    The effect of minimum wages on low-wage jobs , author=. Quart. J. Econom. , volume=. 2019 , publisher=

    2019

  165. [173]

    Who is screened out?

    Deshpande, Manasi and Li, Yue , journal=. Who is screened out?. 2019 , publisher=

    2019

  166. [174]

    Better Together!

    Wagner, Laura and Calvo, Eduard and Amorim, Pedro , journal=. Better Together!. 2023 , publisher=

    2023

  167. [175]

    Smart charging of electric vehicles:

    Wu, Owen Q and Y. Smart charging of electric vehicles:. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  168. [176]

    Management Sci

    Channel changes choice: An empirical study about omnichannel demand sensitivity to fulfillment lead time , author=. Management Sci. , volume=. 2024 , publisher=

    2024

  169. [177]

    Consumer and

    Zhang, Mengxia and Sun, Tianshu and Luo, Lan and Golden, Joseph M , year=. Consumer and

  170. [178]

    Journal of Marketing Research , volume=

    Thumbs up or down: Consumer reactions to decisions by algorithms versus humans , author=. Journal of Marketing Research , volume=. 2022 , publisher=

    2022

  171. [179]

    Crowds, lending, machine, and bias , author=. Inform. Systems Res. , volume=. 2021 , publisher=

    2021

  172. [180]

    Journal of International Economics , volume=

    The Alibaba effect: Spatial consumption inequality and the welfare gains from e-commerce , author=. Journal of International Economics , volume=. 2018 , publisher=

    2018

  173. [181]

    Manufacturing Service Oper

    Designing the right global supply chain network , author=. Manufacturing Service Oper. Management , volume=. 2020 , publisher=

    2020

  174. [182]

    Journal of Operations Management , volume=

    The effect of supply chain glitches on shareholder wealth , author=. Journal of Operations Management , volume=. 2003 , publisher=

    2003

  175. [183]

    Management Sci

    Association between supply chain glitches and operating performance , author=. Management Sci. , volume=. 2005 , publisher=

    2005

  176. [184]

    Management Sci

    Integration of online and offline channels in retail: The impact of sharing reliable inventory availability information , author=. Management Sci. , volume=. 2014 , publisher=

    2014

  177. [185]

    Management Sci

    Channel integration, sales dispersion, and inventory management , author=. Management Sci. , volume=. 2017 , publisher=

    2017

  178. [186]

    2019 , publisher=

    Operations in an omnichannel world , author=. 2019 , publisher=

    2019

  179. [187]

    Management Sci

    Privacy regulation and online advertising , author=. Management Sci. , volume=. 2011 , publisher=

    2011

  180. [188]

    2019 , author=

    Millions of Black People Affected by Racial Bias in Health-Care Algorithms. 2019 , author=. 2019 , number=

    2019

  181. [189]

    Journal of Advertising , pages=

    Authentically Fake? How Consumers Respond to the Influence of Virtual Influencers , author=. Journal of Advertising , pages=. 2022 , publisher=

    2022

  182. [190]

    2022 , publisher=

    Cui, Ruomeng and Li, Meng and Zhang, Shichen , journal=. 2022 , publisher=

    2022

  183. [191]

    The Quarterly Journal of Economics , volume=

    Human decisions and machine predictions , author=. The Quarterly Journal of Economics , volume=. 2018 , publisher=

    2018

  184. [192]

    Nurturing online communities:

    Bapna, Sofia and Benner, Mary J and Qiu, Liangfei , journal=. Nurturing online communities:. 2019 , publisher=

    2019

  185. [193]

    News media channels: Complements or substitutes? Evidence from mobile phone usage , author=. J. Marketing , volume=. 2014 , publisher=

    2014

  186. [194]

    The impact of mobile adoption on customer omni-channel banking behavior , author=

  187. [195]

    Management Sci

    An empirical analysis of forecast sharing in the semiconductor equipment supply chain , author=. Management Sci. , volume=. 2005 , publisher=

    2005

  188. [196]

    From the last mile to the last 800 ft: Key factors in urban pickup and delivery of goods , author=. Trans. Res. Rec. , volume=. 2017 , publisher=

    2017

  189. [197]

    Impacts of logistics information on sales:

    Luo, Jifeng and Rong, Ying and Zheng, Huan , journal=. Impacts of logistics information on sales:. 2020 , publisher=

    2020

  190. [198]

    Manufacturing Service Oper

    Last mile innovation: The case of the locker alliance network , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  191. [199]

    Transportation Sci

    Multi-period workload balancing in last-mile urban delivery , author=. Transportation Sci. , volume=. 2022 , publisher=

    2022

  192. [200]

    Transportation Sci

    Dynamic incentive mechanism for delivery slot management in e-commerce attended home delivery , author=. Transportation Sci. , volume=. 2020 , publisher=

    2020

  193. [201]

    Transportation Research Part B: Methodological , volume=

    Pricing for delivery time flexibility , author=. Transportation Research Part B: Methodological , volume=. 2020 , publisher=

    2020

  194. [202]

    Transportation Sci

    Provably high-quality solutions for the meal delivery routing problem , author=. Transportation Sci. , volume=. 2019 , publisher=

    2019

  195. [203]

    Management Sci

    Multichannel delivery in healthcare: the impact of telemedicine centers in southern India , author=. Management Sci. , volume=. 2023 , publisher=

    2023

  196. [204]

    Manufacturing Service Oper

    Timely after-sales service and technology adoption: Evidence from the off-grid solar market in uganda , author=. Manufacturing Service Oper. Management , volume=. 2022 , publisher=

    2022

  197. [205]

    2018 , publisher=

    Fast forwarding last-mile delivery: Implications for the ecosystem , author=. 2018 , publisher=

    2018

  198. [206]

    McKinsey & Company: Washington, DC, USA , year=

    A new look at autonomous-vehicle infrastructure , author=. McKinsey & Company: Washington, DC, USA , year=

  199. [207]

    2022 , note=

    Mark,Fagan and Benjamin,Gillies and Edward Guo , title =. 2022 , note=

    2022

  200. [208]

    Discrete Dynamics in Nature and Society , volume=

    A contract coordination model of dual-channel delivery between UAVs and couriers considering the uncertainty of delivery for last mile , author=. Discrete Dynamics in Nature and Society , volume=. 2019 , publisher=

    2019

  201. [209]

    Transportation Research Part C: Emerging Technologies , volume=

    Acceptance of autonomous delivery vehicles for last-mile delivery in Germany--Extending UTAUT2 with risk perceptions , author=. Transportation Research Part C: Emerging Technologies , volume=. 2020 , publisher=

    2020

  202. [210]

    International Journal of Environmental Research and Public Health , volume=

    Land Efficient Mobility: Evaluation of Autonomous Last Mile Delivery Concepts in London , author=. International Journal of Environmental Research and Public Health , volume=. 2022 , publisher=

    2022

  203. [211]

    2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) , pages=

    Autonomous goods vehicles for last-mile delivery: Evaluation of impact and barriers , author=. 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) , pages=. 2020 , organization=

    2020

  204. [212]

    Sustainability , volume=

    Autonomous Delivery Solutions for Last-Mile Logistics Operations: A Literature Review and Research Agenda , author=. Sustainability , volume=. 2023 , publisher=

    2023

  205. [213]

    Operations Management (7th edition)

    Nigel Slack and Alistair Brandon-Jones and Robert Johnston. Operations Management (7th edition). 2013

    2013

  206. [214]

    Journal of Behavioral Decision Making , volume=

    A systematic review of algorithm aversion in augmented decision making , author=. Journal of Behavioral Decision Making , volume=. 2020 , publisher=

    2020

  207. [215]

    Management Science , volume=

    Using explainable artificial intelligence to improve process quality: Evidence from semiconductor manufacturing , author=. Management Science , volume=. 2022 , publisher=

    2022

  208. [216]

    Proceedings of the ACM on Human-Computer Interaction , volume=

    Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts , author=. Proceedings of the ACM on Human-Computer Interaction , volume=. 2021 , publisher=

    2021

  209. [217]

    Journal of marketing research , volume=

    Task-dependent algorithm aversion , author=. Journal of marketing research , volume=. 2019 , publisher=

    2019

  210. [218]

    Strategic Management Journal , volume=

    Machine learning and human capital complementarities: Experimental evidence on bias mitigation , author=. Strategic Management Journal , volume=. 2020 , publisher=

    2020

  211. [219]

    Information Systems Research , volume=

    Human--robot interaction: When investors adjust the usage of robo-advisors in peer-to-peer lending , author=. Information Systems Research , volume=. 2021 , publisher=

    2021

  212. [220]

    arXiv preprint arXiv:2102.05506 , year=

    Empowering patients using smart mobile health platforms: Evidence from a randomized field experiment , author=. arXiv preprint arXiv:2102.05506 , year=

  213. [221]

    Journal of Marketing , volume=

    Artificial intelligence coaches for sales agents: Caveats and solutions , author=. Journal of Marketing , volume=. 2021 , publisher=

    2021

  214. [222]

    Organization Science , volume=

    Algorithm-augmented work and domain experience: The countervailing forces of ability and aversion , author=. Organization Science , volume=. 2022 , publisher=

    2022

  215. [223]

    The impact of lay beliefs about

    von Walter, Benjamin and Kremmel, Dietmar and J. The impact of lay beliefs about. Marketing Letters , volume=. 2022 , publisher=

    2022

  216. [224]

    Journal of Management Information Systems , volume=

    Algorithmic versus human advice: Does presenting prediction performance matter for algorithm appreciation? , author=. Journal of Management Information Systems , volume=. 2022 , publisher=

    2022

  217. [225]

    Bauer, Kevin and von Zahn, Moritz and Hinz, Oliver , journal=. Expl (. 2023 , publisher=

    2023

  218. [226]

    Management Science , volume=

    A practical end-to-end inventory management model with deep learning , author=. Management Science , volume=. 2023 , publisher=

    2023

  219. [227]

    Management Science , year=

    Reciprocal human-machine learning: A theory and an instantiation for the case of message classification , author=. Management Science , year=

  220. [228]

    Management Science , volume=

    Cold start to improve market thickness on online advertising platforms: Data-driven algorithms and field experiments , author=. Management Science , volume=. 2023 , publisher=

    2023

  221. [229]

    From man vs

    Cao, Sean and Jiang, Wei and Wang, Junbo and Yang, Baozhong , journal=. From man vs. machine to man + machine: The art and. 2024 , publisher=

    2024

  222. [230]

    Available at SSRN 4298793 , year=

    Augmented Algorithms, Adaptive Humans? Evidence from a Natural Experiment , author=. Available at SSRN 4298793 , year=

  223. [231]

    arXiv preprint arXiv:2504.05755 , year=

    Unraveling Human-AI Teaming: A Review and Outlook , author=. arXiv preprint arXiv:2504.05755 , year=

  224. [232]

    Economic Theory , volume=

    Log-concave probability and its applications , author=. Economic Theory , volume=. 2005 , publisher=

    2005

  225. [233]

    Available at SSRN 4864490 , year=

    A New Estimator for Randomized Controlled Trials with Non-Compliance: Theory and Empirical Evidence , author=. Available at SSRN 4864490 , year=

Pith tools

Reviewed July 2, 2026 · model on record in the stance chip above.