---
_id: '65499'
abstract:
- lang: eng
  text: This paper examines whether player-reported workplace quality is associated
    with team success in the National Football League (NFL). Using panel data for
    all 32 NFL teams across four seasons (2022-2025), we test whether NFLPA report
    card rankings-player evaluations of facilities, travel, medical support, coaching,
    and organizational environment-are related to regular season win percentage. Fixed
    effects models controlling for player quality, roster composition, injuries, coaching
    tenure, and past performance reveal a statistically significant within-team association
    between better player-reported workplace conditions and higher win percentages.
    However, this relationship does not persist when workplace quality is lagged,
    suggesting that player evaluations may partly reflect current team performance
    rather than predict future outcomes. These findings indicate that player evaluations
    of workplace quality are closely aligned with team success, highlighting the role
    of perception and short-run performance dynamics in a high-skill labor market
    setting.
author:
- first_name: Marius
  full_name: Protte, Marius
  id: '44549'
  last_name: Protte
  orcid: 0000-0002-7529-1186
citation:
  ama: 'Protte M. Player-Perceived Workplace Quality and Team Performance: Evidence
    from NFLPA Report Cards. Published online 2026.'
  apa: 'Protte, M. (2026). <i>Player-Perceived Workplace Quality and Team Performance:
    Evidence from NFLPA Report Cards</i>.'
  bibtex: '@article{Protte_2026, title={Player-Perceived Workplace Quality and Team
    Performance: Evidence from NFLPA Report Cards}, author={Protte, Marius}, year={2026}
    }'
  chicago: 'Protte, Marius. “Player-Perceived Workplace Quality and Team Performance:
    Evidence from NFLPA Report Cards,” 2026.'
  ieee: 'M. Protte, “Player-Perceived Workplace Quality and Team Performance: Evidence
    from NFLPA Report Cards.” 2026.'
  mla: 'Protte, Marius. <i>Player-Perceived Workplace Quality and Team Performance:
    Evidence from NFLPA Report Cards</i>. 2026.'
  short: M. Protte, (2026).
date_created: 2026-04-27T12:05:47Z
date_updated: 2026-04-27T12:11:54Z
jel:
- J24
- M54
- L83
- J28
keyword:
- NFL team performance
- NFLPA report cards
- player satisfaction
- organizational environment
- non-pecuniary compensation
language:
- iso: eng
main_file_link:
- url: https://ssrn.com/abstract=6653658
publication_status: published
status: public
title: 'Player-Perceived Workplace Quality and Team Performance: Evidence from NFLPA
  Report Cards'
type: preprint
user_id: '44549'
year: '2026'
...
---
_id: '61339'
author:
- first_name: Marius
  full_name: Protte, Marius
  id: '44549'
  last_name: Protte
- first_name: Behnud Mir
  full_name: Djawadi, Behnud Mir
  last_name: Djawadi
citation:
  ama: 'Protte M, Djawadi BM. Human vs. Algorithmic Auditors: The Impact of Entity
    Type and Ambiguity on Human Dishonesty. <i>Frontiers in Behavioral Economics</i>.
    2025;4:1645749. doi:<a href="https://doi.org/10.3389/frbhe.2025.1645749">10.3389/frbhe.2025.1645749</a>'
  apa: 'Protte, M., &#38; Djawadi, B. M. (2025). Human vs. Algorithmic Auditors: The
    Impact of Entity Type and Ambiguity on Human Dishonesty. <i>Frontiers in Behavioral
    Economics</i>, <i>4</i>, 1645749. <a href="https://doi.org/10.3389/frbhe.2025.1645749">https://doi.org/10.3389/frbhe.2025.1645749</a>'
  bibtex: '@article{Protte_Djawadi_2025, title={Human vs. Algorithmic Auditors: The
    Impact of Entity Type and Ambiguity on Human Dishonesty}, volume={4}, DOI={<a
    href="https://doi.org/10.3389/frbhe.2025.1645749">10.3389/frbhe.2025.1645749</a>},
    journal={Frontiers in Behavioral Economics}, author={Protte, Marius and Djawadi,
    Behnud Mir}, year={2025}, pages={1645749} }'
  chicago: 'Protte, Marius, and Behnud Mir Djawadi. “Human vs. Algorithmic Auditors:
    The Impact of Entity Type and Ambiguity on Human Dishonesty.” <i>Frontiers in
    Behavioral Economics</i> 4 (2025): 1645749. <a href="https://doi.org/10.3389/frbhe.2025.1645749">https://doi.org/10.3389/frbhe.2025.1645749</a>.'
  ieee: 'M. Protte and B. M. Djawadi, “Human vs. Algorithmic Auditors: The Impact
    of Entity Type and Ambiguity on Human Dishonesty,” <i>Frontiers in Behavioral
    Economics</i>, vol. 4, p. 1645749, 2025, doi: <a href="https://doi.org/10.3389/frbhe.2025.1645749">10.3389/frbhe.2025.1645749</a>.'
  mla: 'Protte, Marius, and Behnud Mir Djawadi. “Human vs. Algorithmic Auditors: The
    Impact of Entity Type and Ambiguity on Human Dishonesty.” <i>Frontiers in Behavioral
    Economics</i>, vol. 4, 2025, p. 1645749, doi:<a href="https://doi.org/10.3389/frbhe.2025.1645749">10.3389/frbhe.2025.1645749</a>.'
  short: M. Protte, B.M. Djawadi, Frontiers in Behavioral Economics 4 (2025) 1645749.
date_created: 2025-09-18T07:52:40Z
date_updated: 2025-09-29T09:31:38Z
doi: 10.3389/frbhe.2025.1645749
intvolume: '         4'
keyword:
- cheating
- human-machine interaction
- ambiguity
- verification process
- algorithm aversion
- algorithm appreciation
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.frontiersin.org/journals/behavioral-economics/articles/10.3389/frbhe.2025.1645749/full
oa: '1'
page: '1645749'
publication: Frontiers in Behavioral Economics
status: public
title: 'Human vs. Algorithmic Auditors: The Impact of Entity Type and Ambiguity on
  Human Dishonesty'
type: journal_article
user_id: '44549'
volume: 4
year: '2025'
...
---
_id: '48387'
author:
- first_name: Anastasia
  full_name: Lebedeva, Anastasia
  last_name: Lebedeva
- first_name: Marius
  full_name: Protte, Marius
  id: '44549'
  last_name: Protte
- first_name: Dirk
  full_name: van Straaten, Dirk
  last_name: van Straaten
- first_name: René
  full_name: Fahr, René
  id: '111'
  last_name: Fahr
citation:
  ama: 'Lebedeva A, Protte M, van Straaten D, Fahr R. Involvement of domain experts
    in the AI training does not affect adherence – An AutoML study. In: <i>Advances
    in Information and Communication</i>. Vol 919. Lecture Notes in Networks and Systems.
    Springer, Cham; 2024:178–204. doi:<a href="https://doi.org/10.1007/978-3-031-53960-2_13">https://doi.org/10.1007/978-3-031-53960-2_13</a>'
  apa: Lebedeva, A., Protte, M., van Straaten, D., &#38; Fahr, R. (2024). Involvement
    of domain experts in the AI training does not affect adherence – An AutoML study.
    In <i>Advances in Information and Communication</i> (Vol. 919, pp. 178–204). Springer,
    Cham. <a href="https://doi.org/10.1007/978-3-031-53960-2_13">https://doi.org/10.1007/978-3-031-53960-2_13</a>
  bibtex: '@inbook{Lebedeva_Protte_van Straaten_Fahr_2024, series={Lecture Notes in
    Networks and Systems}, title={Involvement of domain experts in the AI training
    does not affect adherence – An AutoML study}, volume={919}, DOI={<a href="https://doi.org/10.1007/978-3-031-53960-2_13">https://doi.org/10.1007/978-3-031-53960-2_13</a>},
    booktitle={Advances in Information and Communication}, publisher={Springer, Cham},
    author={Lebedeva, Anastasia and Protte, Marius and van Straaten, Dirk and Fahr,
    René}, year={2024}, pages={178–204}, collection={Lecture Notes in Networks and
    Systems} }'
  chicago: Lebedeva, Anastasia, Marius Protte, Dirk van Straaten, and René Fahr. “Involvement
    of Domain Experts in the AI Training Does Not Affect Adherence – An AutoML Study.”
    In <i>Advances in Information and Communication</i>, 919:178–204. Lecture Notes
    in Networks and Systems. Springer, Cham, 2024. <a href="https://doi.org/10.1007/978-3-031-53960-2_13">https://doi.org/10.1007/978-3-031-53960-2_13</a>.
  ieee: A. Lebedeva, M. Protte, D. van Straaten, and R. Fahr, “Involvement of domain
    experts in the AI training does not affect adherence – An AutoML study,” in <i>Advances
    in Information and Communication</i>, vol. 919, Springer, Cham, 2024, pp. 178–204.
  mla: Lebedeva, Anastasia, et al. “Involvement of Domain Experts in the AI Training
    Does Not Affect Adherence – An AutoML Study.” <i>Advances in Information and Communication</i>,
    vol. 919, Springer, Cham, 2024, pp. 178–204, doi:<a href="https://doi.org/10.1007/978-3-031-53960-2_13">https://doi.org/10.1007/978-3-031-53960-2_13</a>.
  short: 'A. Lebedeva, M. Protte, D. van Straaten, R. Fahr, in: Advances in Information
    and Communication, Springer, Cham, 2024, pp. 178–204.'
conference:
  end_date: 2024-04-05
  location: Berlin
  name: Future of Information and Communication Conference (FICC)
  start_date: 2024-04-04
date_created: 2023-10-23T10:38:00Z
date_updated: 2024-12-09T11:46:02Z
ddc:
- '000'
- '600'
- '330'
department:
- _id: '179'
doi: https://doi.org/10.1007/978-3-031-53960-2_13
file:
- access_level: closed
  content_type: application/pdf
  creator: mprotte
  date_created: 2023-10-23T10:35:22Z
  date_updated: 2023-10-23T10:35:22Z
  file_id: '48388'
  file_name: Lebedeva_Protte_vanStraaten_Fahr_2023_updated.pdf
  file_size: 767807
  relation: main_file
  success: 1
file_date_updated: 2023-10-23T10:35:22Z
has_accepted_license: '1'
intvolume: '       919'
language:
- iso: eng
page: 178–204
publication: Advances in Information and Communication
publisher: Springer, Cham
series_title: Lecture Notes in Networks and Systems
status: public
title: Involvement of domain experts in the AI training does not affect adherence
  – An AutoML study
type: book_chapter
user_id: '44549'
volume: 919
year: '2024'
...
---
_id: '21369'
abstract:
- lang: eng
  text: "Successful design of human-in-the-loop control sys- tems requires appropriate
    models for human decision makers. Whilst most paradigms adopted in the control
    systems literature hide the (limited) decision capability of humans, in behavioral
    economics individual decision making and optimization processes are well-known
    to be affected by perceptual and behavioral biases. Our goal is to enrich control
    engineering with some insights from behavioral economics research through exposing
    such biases in control-relevant settings.\r\nThis paper addresses the following
    two key questions:\r\n1) How do behavioral biases affect decision making?\r\n2)
    What is the role played by feedback in human-in-the-loop control systems?\r\nOur
    experimental framework shows how individuals behave when faced with the task of
    piloting an UAV under risk and uncertainty, paralleling a real-world decision-making
    scenario. Our findings support the notion of humans in Cyberphysical Systems underlying
    behavioral biases regardless of – or even because of – receiving immediate outcome
    feedback. We observe substantial shares of drone controllers to act inefficiently
    through either flying excessively (overconfident) or overly conservatively (underconfident).
    Furthermore, we observe human-controllers to self-servingly misinterpret random
    sequences through being subject to a “hot hand fallacy”. We advise control engineers
    to mind the human component in order not to compromise technological accomplishments
    through human issues."
author:
- first_name: Marius
  full_name: Protte, Marius
  id: '44549'
  last_name: Protte
- first_name: René
  full_name: Fahr, René
  id: '111'
  last_name: Fahr
- first_name: Daniel E.
  full_name: Quevedo, Daniel E.
  last_name: Quevedo
citation:
  ama: 'Protte M, Fahr R, Quevedo DE. Behavioral Economics for Human-in-the-loop Control
    Systems Design: Overconfidence and the hot hand fallacy. <i>IEEE Control Systems
    Magazine</i>. 2020;40(6):57-76. doi:<a href="https://doi.org/10.1109/MCS.2020.3019723">10.1109/MCS.2020.3019723</a>'
  apa: 'Protte, M., Fahr, R., &#38; Quevedo, D. E. (2020). Behavioral Economics for
    Human-in-the-loop Control Systems Design: Overconfidence and the hot hand fallacy.
    <i>IEEE Control Systems Magazine</i>, <i>40</i>(6), 57–76. <a href="https://doi.org/10.1109/MCS.2020.3019723">https://doi.org/10.1109/MCS.2020.3019723</a>'
  bibtex: '@article{Protte_Fahr_Quevedo_2020, title={Behavioral Economics for Human-in-the-loop
    Control Systems Design: Overconfidence and the hot hand fallacy}, volume={40},
    DOI={<a href="https://doi.org/10.1109/MCS.2020.3019723">10.1109/MCS.2020.3019723</a>},
    number={6}, journal={IEEE Control Systems Magazine}, publisher={IEEE}, author={Protte,
    Marius and Fahr, René and Quevedo, Daniel E.}, year={2020}, pages={57–76} }'
  chicago: 'Protte, Marius, René Fahr, and Daniel E. Quevedo. “Behavioral Economics
    for Human-in-the-Loop Control Systems Design: Overconfidence and the Hot Hand
    Fallacy.” <i>IEEE Control Systems Magazine</i> 40, no. 6 (2020): 57–76. <a href="https://doi.org/10.1109/MCS.2020.3019723">https://doi.org/10.1109/MCS.2020.3019723</a>.'
  ieee: 'M. Protte, R. Fahr, and D. E. Quevedo, “Behavioral Economics for Human-in-the-loop
    Control Systems Design: Overconfidence and the hot hand fallacy,” <i>IEEE Control
    Systems Magazine</i>, vol. 40, no. 6, pp. 57–76, 2020, doi: <a href="https://doi.org/10.1109/MCS.2020.3019723">10.1109/MCS.2020.3019723</a>.'
  mla: 'Protte, Marius, et al. “Behavioral Economics for Human-in-the-Loop Control
    Systems Design: Overconfidence and the Hot Hand Fallacy.” <i>IEEE Control Systems
    Magazine</i>, vol. 40, no. 6, IEEE, 2020, pp. 57–76, doi:<a href="https://doi.org/10.1109/MCS.2020.3019723">10.1109/MCS.2020.3019723</a>.'
  short: M. Protte, R. Fahr, D.E. Quevedo, IEEE Control Systems Magazine 40 (2020)
    57–76.
date_created: 2021-03-03T14:20:10Z
date_updated: 2023-10-23T10:38:19Z
ddc:
- '620'
- '330'
department:
- _id: '179'
doi: 10.1109/MCS.2020.3019723
file:
- access_level: closed
  content_type: application/pdf
  creator: mprotte
  date_created: 2021-03-03T14:21:50Z
  date_updated: 2021-03-03T14:21:50Z
  file_id: '21370'
  file_name: Protte_Fahr_Quevedo.pdf
  file_size: 1501292
  relation: main_file
  success: 1
file_date_updated: 2021-03-03T14:21:50Z
has_accepted_license: '1'
intvolume: '        40'
issue: '6'
language:
- iso: eng
page: 57 - 76
publication: IEEE Control Systems Magazine
publication_status: published
publisher: IEEE
status: public
title: 'Behavioral Economics for Human-in-the-loop Control Systems Design: Overconfidence
  and the hot hand fallacy'
type: journal_article
user_id: '44549'
volume: 40
year: '2020'
...
---
_id: '21371'
author:
- first_name: Marius
  full_name: Protte, Marius
  id: '44549'
  last_name: Protte
citation:
  ama: Protte M. <i>The Effect of Organizational Support on Whistleblowing Behavior
    - An Experimental Analysis</i>.; 2019.
  apa: Protte, M. (2019). <i>The effect of organizational support on whistleblowing
    behavior - An experimental analysis</i>.
  bibtex: '@book{Protte_2019, title={The effect of organizational support on whistleblowing
    behavior - An experimental analysis}, author={Protte, Marius}, year={2019} }'
  chicago: Protte, Marius. <i>The Effect of Organizational Support on Whistleblowing
    Behavior - An Experimental Analysis</i>, 2019.
  ieee: M. Protte, <i>The effect of organizational support on whistleblowing behavior
    - An experimental analysis</i>. 2019.
  mla: Protte, Marius. <i>The Effect of Organizational Support on Whistleblowing Behavior
    - An Experimental Analysis</i>. 2019.
  short: M. Protte, The Effect of Organizational Support on Whistleblowing Behavior
    - An Experimental Analysis, 2019.
date_created: 2021-03-03T14:33:56Z
date_updated: 2022-01-06T06:54:57Z
language:
- iso: eng
status: public
supervisor:
- first_name: Djawadi
  full_name: Behnud Mir, Djawadi
  last_name: Behnud Mir
- first_name: Fahr
  full_name: René, Fahr
  last_name: René
title: The effect of organizational support on whistleblowing behavior - An experimental
  analysis
type: mastersthesis
user_id: '44549'
year: '2019'
...