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Joel Goh
National University of Singapore
23Publications
9H-index
489Citations
Publications 23
Newest
Published on Mar 1, 2019in Management Science 3.54
Hamsa Bastani5
Estimated H-index: 5
(UPenn: University of Pennsylvania),
Joel Goh9
Estimated H-index: 9
(NUS: National University of Singapore),
Mohsen Bayati21
Estimated H-index: 21
(Stanford University)
Recent Medicare legislation has been directed at improving patient care quality by financially penalizing providers for hospital-acquired infections (HAIs). However, Medicare cannot directly monitor HAI rates, and instead relies on providers accurately self-reporting HAIs in claims data to correctly assess penalties. Consequently, the incentives for providers to improve service quality may disappear if providers upcode, i.e. misreport HAIs (possibly unintentionally) in a manner that increases re...
1 Citations Source Cite
Published on Apr 1, 2018in JAMA Internal Medicine 19.99
Tait D. Shanafelt78
Estimated H-index: 78
(Stanford University),
Joel Goh9
Estimated H-index: 9
(Harvard University),
Christine A. Sinsky17
Estimated H-index: 17
(AMA: American Medical Association)
Source Cite
Published on Mar 15, 2018
Joel Goh9
Estimated H-index: 9
,
Robert S. Huckman22
Estimated H-index: 22
,
Nikhil R. Sahni2
Estimated H-index: 2
Published on Dec 1, 2017in JAMA Internal Medicine 19.99
Tait D. Shanafelt78
Estimated H-index: 78
(Stanford University),
Joel Goh9
Estimated H-index: 9
(Harvard University),
Christine A. Sinsky17
Estimated H-index: 17
(AMA: American Medical Association)
Importance Widespread burnout among physicians has been recognized for more than 2 decades. Extensive evidence indicates that physician burnout has important personal and professional consequences. Observations A lack of awareness regarding the economic costs of physician burnout and uncertainty regarding what organizations can do to address the problem have been barriers to many organizations taking action. Although there is a strong moral and ethical case for organizations to address physician...
48 Citations Source Cite
Published on Oct 6, 2017in Social Science Research Network
Kris Johnson Ferreira1
Estimated H-index: 1
,
Joel Goh9
Estimated H-index: 9
,
Ehsan Valavi1
Estimated H-index: 1
1 Citations Source Cite
Published on Aug 1, 2016in Production and Operations Management 1.77
Joel Goh9
Estimated H-index: 9
(Harvard University),
Evan L. Porteus32
Estimated H-index: 32
(Stanford University)
We extend the Clark-Scarf serial multi-echelon inventory model to include procuring production inputs under short-term take-or-pay contracts at one or more stages. In each period, each such stage has the option to order/process at two different cost rates; the cheaper rate applies to units up to the contract quantity selected in the previous period. We prove that in each period and at each such stage, there are three base-stock levels that characterize an optimal policy, two for the inventory po...
2 Citations Source Cite
Published on Jun 6, 2016
Joel Goh9
Estimated H-index: 9
,
アナンス ラーマン22
Estimated H-index: 22
Published on Jun 1, 2016in Service Science archive
Shawn Mankad4
Estimated H-index: 4
(Cornell University),
Hyunjeong “Spring” Han1
Estimated H-index: 1
+ 1 AuthorsSrinagesh Gavirneni18
Estimated H-index: 18
(Cornell University)
Customer reviews submitted at Internet travel portals are an important yet underexplored new resource for obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for traditional tools that were designed for well-structured, quantitative data. We adapt methods from natural language processing and machine learning to illustrate how the hotel industry can leverage this new data source by performing au...
14 Citations Source Cite
Published on Feb 1, 2016in Management Science 3.54
Joel Goh9
Estimated H-index: 9
(Harvard University),
Jeffrey Pfeffer82
Estimated H-index: 82
(Stanford University),
Stefanos A. Zenios27
Estimated H-index: 27
(Stanford University)
Even though epidemiological evidence links specific workplace stressors to health outcomes, the aggregate contribution of these factors to overall mortality and health spending in the United States is not known. In this paper, we build a model to estimate the excess mortality and incremental health expenditures associated with exposure to the following 10 workplace stressors: unemployment, lack of health insurance, exposure to shift work, long working hours, job insecurity, work–family conflict,...
54 Citations Source Cite
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