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pro vyhledávání: '"Roy Gelbard"'
Publikováno v:
Journal of Statistics and Data Science Education, Vol 33, Iss 1, Pp 68-76 (2025)
Classification, a fundamental data analytics task, has widespread applications across various academic disciplines, such as marketing, finance, sociology, psychology, education, and public health. Its versatility enables researchers to explore divers
Externí odkaz:
https://doaj.org/article/ed3e998be5214df8a0671e17de6392a4
Akademický článek
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Publikováno v:
Project Management Journal. 52:471-487
Project managers commonly adopt suboptimal work plans, even when optimal plans are readily accessible. This research identifies a factor that elicits this seemingly irrational behavior: the perceived complexity of the optimal work plan, as reflected
Autor:
Roy Gelbard, Anna Khalemsky
Publikováno v:
Journal of Data and Information Quality. 13:1-27
In dynamic and big data environments the visualization of a segmentation process over time often does not enable the user to simultaneously track entire pieces. The key points are sometimes incomparable, and the user is limited to a static visual pre
Publikováno v:
International Journal of Information Technology Project Management. 12:93-105
Prior research shows that project managers tend to avoid following the optimal work plan, and that this tendency is negatively influenced by the perceived complexity of the Gantt chart. This research introduces a central factor moderating this effect
Autor:
Aviad, Barak, Roy, Gelbard
Publikováno v:
In Decision Support Systems December 2012 54(1):292-303
Autor:
Itsik David, Roy Gelbard
Publikováno v:
SSRN Electronic Journal.
Autor:
Aviad, Barak, Roy, Gelbard
Publikováno v:
In Expert Systems With Applications 2011 38(7):8220-8228
Publikováno v:
Computers & Industrial Engineering. 118:123-137
This paper presents a novel method for solving the previously un-researched problem of multi-release work plan (MRWP). The research also suggests a technique for improving the run-time of metaheuristic search optimizations for this problem. The MRWP