Zoe Szajnfarber

the George Washington University

Professor of Engineering Management and Systems Engineering

800 22nd St

2670

Washington, DC

  • the George Washington University

SCHOLARLY PAPERS

5

DOWNLOADS

395

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (5)

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1.

Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge

Number of pages: 61 Posted: 02 Jun 2022 Last Revised: 04 Aug 2024
Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Harvard Business School - Technology and Operations Management Unit, the George Washington University, affiliation not provided to SSRN, Harvard University - Business School (HBS) and Harvard Business School - Technology and Operations Management Group
Downloads 340 (170,883)
Citation 2

Abstract:

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evaluations, resource allocation, novelty, feasibility, technological innovation, field experiment

2.

Uncovering Useful Solutions in Crowdsourcing: The Need for Deep Information when Outsiders (Re)formulate

Number of pages: 39 Posted: 16 May 2023
Ademir-Paolo Vrolijk and Zoe Szajnfarber
University of Toronto and the George Washington University
Downloads 34 (851,605)

Abstract:

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Open innovation, Broadcast search, Crowd science, Crowdsourcing design, Problem formulation, Problem-solving, Knowledge distance, Information depth, NASA

3.

Linking Solver Characteristics, Solving Processes and Solution Attributes: A Data Explainer for an Open Innovation Generated Robotic Design Dataset

Number of pages: 22 Posted: 17 Jul 2023
Zoe Szajnfarber, Anthony I. Hennig, Suparna Mukherjee, Steven Rader and Jason Crusan
the George Washington University, George Washington University, George Washington University, Government of the United States of America - National Aeronautics and Space Administration (NASA) and George Washington University
Downloads 17 (1,014,661)

Abstract:

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Design data, solver attributes, crowdsourcing, novelty, feasibility, robotics

4.

Preposition Salad: Making Sense of Human-in/on/over-the-Loop Control for AI Systems

Number of pages: 16 Posted: 27 Aug 2024
Aditya Singh and Zoe Szajnfarber
George Washington University and the George Washington University
Downloads 4 (1,153,564)

Abstract:

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trustworthy AI, system architecture, human factors

5.

What Is Your Problem?! Translating, Decontextualizing and Recontextualizing Problems for Cross Boundary Innovation

Posted: 05 Apr 2022
Hila Lifshitz-Assaf, Zoe Szajnfarber and Michael Tushman
Harvard University Lab for Innovation Sciences, the George Washington University and Harvard University - Organizational Behavior Unit

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Innovation, problem formulation, knowledge boundary work, collaboration, open innovation, online platforms