Galit Yom-Tov
Galit Yom-Tov
Industrial Engineering and Management, Technion
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Citata da
Citata da
On Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective
M Armony, S Israelit, A Mandelbaum, YN Marmor, Y Tseytlin, GB Yom-Tov
Stochastic Systems 5 (1), 146-194, 2015
Erlang-R: A time-varying queue with reentrant customers, in support of healthcare staffing
GB Yom-Tov, A Mandelbaum
Manufacturing & Service Operations Management 16 (2), 283-299, 2014
When to use Speedup: An Examination of Service Systems with Returns
CW Chan, GB Yom-tov, G Escobar
Operations Research 62 (2), 462-482, 2014
The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times
J Dong, E Yom-Tov, GB Yom-Tov
Management Science 65 (5), 1969–1994, 2019
Service Systems with Slowdowns: Potential Failures and Proposed Solutions
J Dong, P Feldman, GB Yom-Tov
Operations Research 63 (2), 305-324, 2015
Queues in Hospitals: Queueing Networks with ReEntering Customers in the QED Regime (QED = Quality- and Efficiency-Driven)
G Yom-Tov
Technion-Israel Institute of Technology, Faculty of Industrial andá…, 2010
Customer Sentiment in Web-Based Service Interactions: Automated Analyses and New Insights
GB Yom-Tov, S Ashtar, D Altman, M Natapov, N Barkay, M Westphal, ...
WWW 18 Companion: The 2018 Web Conference Companion, 1689-1697, 2018
Do customer emotions affect agent speed? An empirical study of emotional load in online customer contact centers
D Altman, GB Yom-Tov, S Ashtar, M Olivares, A Rafaeli
Manufacturing & Service Operations Management, 2020
An Invitation Control Policy for Proactive Service Systems: Balancing Efficiency, Value and Service Level
GB Yom-Tov, L Yedidsion, Y Xie
Manufacturing & Service Operations Management, 2020
On Patient Flow in Hospitals: A Data-Based Queueing-Science Perspective. An Extended Version (EV)
M Armony, S Israelit, A Mandelbaum, YN Marmor, Y Tseytlin, GB Yom-Tov
Working paper, http://ie. technion. ac. il/serveng/References/Patientá…, 2015
The restricted Erlang-R queue: Finite-size effects in service systems with returning customers
JSH van Leeuwaarden, BWJ Mathijsen, F Sloothaak, GB Yom-Tov
arXiv preprint arXiv:1612.07088, 2016
Service time sensitivity to load: Who is to “blame”
P Feldman, J Li, GB Yom-Tov, E Yom-Tov
Working paper, 2014
The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes
A Daw, A Castellanos, G Yom-Tov, J Pender, L Gruendlinger
Available at SSRN 3817130, 2021
Balancing admission control, speedup, and waiting in service systems
GB Yom-Tov, CW Chan
Queueing Systems,, 2021
Silent Abandonment in Contact Centers: Estimating Customer Patience from Uncertain Data
A Castellanos, GB Yom-Tov, Y Goldberg
working paper, 2019
State-Dependent Estimation of Delay Distributions in Fork-Join Networks
N Carmeli, GB Yom-Tov, OJ Boxma
Global integration of marketing and R&D: IBM'S Haifa Research Laboratory and its “WebCutter” technology
M Horwitch, H Grupp, S Maital, G Dopelt, G Sobel
Getting better at sensemaking, 2001
A Patient-Centered Information System (myED) for Emergency Care Journeys: Design, Development, and Initial Adoption
M Westphal, GB Yom-Tov, A Parush, N Carmeli, A Shaulov, C Shapira, ...
JMIR formative research 4 (2), e16410, 2020
Cognitive and Emotional Load Influence Response Time of Customer-Service Agents: A Large Scale Analysis of Chat Service Conversations
A Rafaeli, D Altman, GB Yom-Tov
HICSS-52, Hawaii, US., 2019
The role of specialized hospital units in infection and mortality risk reduction among patients with hematological cancers
YO Ra´sa Carmen, Galit Yom-Tov, Inneke Van Nieuwenhuyse, Bram Joubert
PLoS ONE 14 (3), e0211694, 2019
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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