Results 201 to 210 of about 151,897 (324)

Artificial intelligence and corporate ideation systems

Journal of Product Innovation Management, Volume 43, Issue 1, Page 160-185, January 2026.
Abstract Many companies leverage the creativity of their employees to gather ideas for innovations. These ideas are collected, saved, and evaluated via platforms known as corporate ideation systems. Moderated ideation systems (ideation 2.0) emerged as a solution to address the limitations of traditional, rather passive ideation systems (ideation 1.0 ...
Selina L. Lehmann, Johannes Dahlke, Valentina Pianta, Bernd Ebersberger   +3 more
wiley   +1 more source

Building capacity for HIV and implementation science among students in the United States: the stimulating training and access to HIV research experiences (STAR) program. [PDF]

Front Public Health
Nwaozuru U, Tucker JD, Thurston IB, Airhihenbuwa CO, BeLue R, Tang W, Obiezu-Umeh C, Anikamadu O, Ameen K, Herrara C, Engelhart A, Patrick T, Onyeama U, Oladele D, Takenaka BP, Olusanya OA, Ojo T, Iwelunmor J.   +17 more
europepmc   +1 more source

Management Problems in Global Crowdsourcing

, 2021

openalex   +1 more source

Trust in Open Innovation: An Integrated Model Based on a Systematic Literature Review

R&D Management, Volume 56, Issue 1, Page 37-54, January 2026.
ABSTRACT Trust among partners is increasingly recognized as a key condition for the success of Open Innovation (OI); nevertheless, the research on the topic is still fragmented and partial. On the basis of a systematic literature review, this paper explores trust in OI settings, building an integrated model that connects trust antecedents and ...
Ginevra Assia Antonelli, Domenico di Prisco, Maria Isabella Leone   +2 more
wiley   +1 more source

A truth inference scheme for crowdsourcing using NLP and swin transformers. [PDF]

Sci Rep
Kurup AR, Kar MK, Hashunao S, Mishra M.
europepmc   +1 more source

Human at the Center: A Framework for Human‐Driven AI Development

AI Magazine, Volume 46, Issue 4, Winter 2025.
Abstract Artificial Intelligence (AI) systems increasingly shape many aspects of daily life, influencing our jobs, finances, healthcare, and online content. This expansion has led to the rise of human–AI systems, where humans communicate, collaborate, or otherwise interact with AI, such as using AI outputs to make decisions.
Danniell Hu, Diana Acosta Navas, Susanne Gaube, Hussein Mozannar, Matthew E. Taylor, Krishnamurthy Dvijotham, Elizabeth Bondi‐Kelly   +6 more
wiley   +1 more source

Stimulating training and access to HIV research experiences (STAR program): a protocol for a crowdsourced, project-based, implementation science training program using mixed-methods design. [PDF]

Front Public Health
Iwelunmor J, Thurston I, Airhihenbuwa C, Tang W, Nwaozuru UC, Anikamadu O, Oladele D, Takenaka B, Ameen K, Olusanya OA, Ojo T, Tucker JD.   +11 more
europepmc   +1 more source

and Walter Lasecki: Real-time Crowdsourcing

, 2017
Jeff Bigham
openalex   +1 more source

Crowdsourcing Consumer Research

, 2017
J. Goodman, Gabriele Paolacci
semanticscholar   +1 more source

Truth Inference in Crowdsourcing: Is the Problem Solved?

Proceedings of the VLDB Endowment, 2017
Yudian Zheng, Guoliang Li, Yuanbing Li, Caihua Shan, Reynold Cheng   +4 more
semanticscholar   +1 more source