@inbook{13462,
  abstract     = {{Traditional project management literature often portrays heuristics as flawed shortcuts leading to errors, advocating for rational, debiasing strategies to prevent cost overruns and benefit shortfalls. This is problematic as heuristics can be effective. Building on Gigerenzer’s concept of fast-and-frugal heuristics, this study examines the use of such smart heuristics by senior managers in a large engineering consultancy firm during the early bid/no-bid decision-making phase of infrastructure projects. Employing a qualitative method from the naturalistic decision-making program, the research uncovers a decision strategy termed "thresholding." This strategy distills extensive experience and interpretation of ambiguous information into binary decisions, effectively de-selecting projects that could be potentially disastrous. The approach also gives credence to agency, as it only deselects disasters but keeps many potential alternatives in the portfolio to mature into potentially ‘good projects’. At the same time, it addresses Flyvbjerg’s call for some scrutiny at the front end of projects to avoid catastrophic projects that start on the wrong premises. Our chapter adds to the debate on the Hiding Hand by not being concerned with the “hidden”, but instead, with what can be known in the early fuzzy front-end of projects.}},
  author       = {{Geraldi,  Joana  and Stingl, Verena  and Schriewersmann, Maximilian}},
  booktitle    = {{Cambridge handbook of project behavior }},
  editor       = {{Ika, Lavagnon A. and Pinto, Jeffrey K.}},
  isbn         = {{9781009322768}},
  keywords     = {{heuristics, decision making, project behaviour, hiding hand, bid/no-bid decision}},
  pages        = {{216 -- 232}},
  publisher    = {{Cambridge University Press}},
  title        = {{{At the Brink of a Project : Heuristics to Block Potential Project Disasters during the Early Project Opportunity Screening}}},
  doi          = {{10.1017/9781009322737}},
  year         = {{2025}},
}

@misc{6078,
  author       = {{Beckmann, Carolin}},
  keywords     = {{Second-hand, Secondhandmode, Secondhandshop, Nachhaltigkeit, CorporateDesign}},
  publisher    = {{Technische Hochschule OWL}},
  title        = {{{Imagewandel sichtbar machen – Analyse der Darstellung von Secondhand Unternehmen und Konzeption eines Corporate Designs für einen Secondhand Concept-Store}}},
  year         = {{2021}},
}

@inproceedings{4259,
  abstract     = {{This paper presents a prototype of an intelligent assistive system for workers in stationary manual assembly using projection-based augmented reality (AR) and intelligent hand tracking. By using depth cameras, the system can track the hands of the user and makes the user aware of wrong picking actions or errors in the assembly process. The system automatically adapts the digital projection-based overlay according to the current work situation. The main research contribution of our work is the presentation of a novel hand-tracking algorithm. In addition, we present the results of an user study of the system that shows the challenges and opportunities of our system and the hand-tracking algorithm in particular. We assume that our results will inform the future design of assistive systems in manual assembly.}},
  author       = {{Büttner, Sebastian and Sand, Oliver and Röcker, Carsten}},
  booktitle    = {{European Conference on Ambient Intelligence}},
  isbn         = {{978-3-319-56996-3}},
  keywords     = {{Augmented reality, Mobile projection, Hand tracking, Manufacturing, Industry 4.0}},
  location     = {{ Malaga, Spain}},
  pages        = {{33--45}},
  publisher    = {{Springer}},
  title        = {{{Exploring Design Opportunities for Intelligent Worker Assistance: A New Approach Using Projetion-Based AR and a Novel Hand-Tracking Algorithm}}},
  doi          = {{10.1007/978-3-319-56997-0_3}},
  volume       = {{10217}},
  year         = {{2017}},
}