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Stefanos A. Zenios
Stanford University
68Publications
27H-index
2,416Citations
Publications 68
Newest
Published on Dec 1, 2017in Academy of Management Journal 6.70
Riitta Katila16
Estimated H-index: 16
(Stanford University),
Sruthi M. Thatchenkery2
Estimated H-index: 2
(UCL: University College London)
+ 1 AuthorsStefanos A. Zenios27
Estimated H-index: 27
(Stanford University)
We explore the impact on innovation that domain experts, i.e., professional end users of a product have as inventors, executives, and board members in a young organization. Using a dataset of 231 surgical instrument ventures spanning a 25-year period alongside in-depth qualitative fieldwork, we find that professional physician–users (surgeons) strengthen innovation in some roles but block it in others. These experts are related to an increase in a firm’s innovation when they take a technology ro...
5 Citations Source Cite
Published on Jun 7, 2017
Baris Ata , Yichuan Ding7
Estimated H-index: 7
,
Stefanos A. Zenios27
Estimated H-index: 27
The deceased-donor kidney transplant candidates in the US are ranked according to characteristics of both the donor and the recipient. We seek the ranking policy that achieves the best efficiency-equity tradeoff, taking into account patients' strategic choices. Our approach considers a broad class of ranking policies, which provides approximations to the previously and currently used policies in practice. It also subsumes other policies proposed in the literature previously. As such it supports ...
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
Published on Dec 1, 2015in Operations Research 2.26
Joel Goh9
Estimated H-index: 9
,
Margrét V. Bjarnadóttir1
Estimated H-index: 1
+ 1 AuthorsStefanos A. Zenios27
Estimated H-index: 27
Postmarketing drug surveillance is the process of monitoring the adverse events of pharmaceutical or medical devices after they are approved by the appropriate regulatory authorities. Historically, such surveillance was based on voluntary reports by medical practitioners, but with the widespread adoption of electronic medical records and comprehensive patient databases, surveillance systems that utilize such data are of considerable interest. Unfortunately, existing methods for analyzing the dat...
1 Citations Source Cite
Published on Jan 1, 2015
Joel Goh9
Estimated H-index: 9
,
Jeffrey Pfeffer82
Estimated H-index: 82
,
Stefanos A. Zenios27
Estimated H-index: 27
Extensive research focuses on the causes of workplace-induced stress. However, policy efforts to tackle the ever-increasing health costs and poor health outcomes in the United States have largely ignored the health effects of psychosocial workplace stressors such as high job demands, economic insecurity, and long work hours. Using meta-analysis, we summarize 228 studies assessing the effects of ten workplace stressors on four health outcomes. We find that job insecurity increases the odds of rep...
16 Citations Source Cite
Published on Jan 1, 2014
Michael Quinn Christensen (Stanford University), Riitta Katila16
Estimated H-index: 16
(Stanford University)
+ 1 AuthorsStefanos A. Zenios27
Estimated H-index: 27
(Stanford University)
In this study we explore the innovation impact that users have as executives, directors, and inventors in new firms. While users frequently advice firms as members of advisory boards or as external consultants, and commercialize their inventions by founding firms, we know surprisingly little about how young firms can effectively leverage users in various other organizational roles to continuously drive innovation. Drawing on an extensive custom-collected dataset of 268 surgical instrument firms ...
Source Cite
Published on Sep 1, 2013in Annals of Biomedical Engineering 3.40
Todd J. Brinton14
Estimated H-index: 14
(Stanford University),
Christine Q. Kurihara1
Estimated H-index: 1
(Stanford University)
+ 13 AuthorsAnurag Mairal2
Estimated H-index: 2
(Stanford University)
The Stanford Biodesign Program began in 2001 with a mission of helping to train leaders in biomedical technology innovation. A key feature of the program is a full-time postgraduate fellowship where multidisciplinary teams undergo a process of sourcing clinical needs, inventing solutions and planning for implementation of a business strategy. The program places a priority on needs identification, a formal process of selecting, researching and characterizing needs before beginning the process of ...
30 Citations Source Cite
Published on May 30, 2013in Statistics in Medicine 1.93
D.J. Lowsky1
Estimated H-index: 1
(AN: RAND Corporation),
Yichuan Ding7
Estimated H-index: 7
(UBC: University of British Columbia)
+ 4 AuthorsStefanos A. Zenios27
Estimated H-index: 27
(Stanford University)
We introduce a nonparametric survival prediction method for right-censored data. The method generates a survival curve prediction by constructing a (weighted) Kaplan–Meier estimator using the outcomes of the K most similar training observations. Each observation has an associated set of covariates, and a metric on the covariate space is used to measure similarity between observations. We apply our method to a kidney transplantation data set to generate patient-specific distributions of graft sur...
8 Citations Source Cite
Published on Jun 1, 2012in Management Science 3.54
Donald K. K. Lee7
Estimated H-index: 7
(Yale University),
Stefanos A. Zenios27
Estimated H-index: 27
(Stanford University)
Recent legislations directed Medicare to revamp its decades-old system for reimbursing dialysis treatments, with focus on the risk adjustment of payments and on the transition toward a pay-for-compliance system. To design an optimal payment system that incorporates these features, we develop an empirical method to estimate the structural parameters of the principal--agent model underlying Medicare's dialysis payment system. We use the model and parameter estimates to answer the following questio...
21 Citations Source Cite
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