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61.
Bilodeau Daniel Crémieux Pierre-Yves Jaumard Brigitte Ouellette Pierre Vovor Tsévi 《Journal of Productivity Analysis》2004,21(2):183-199
This research proposes an approach to measure hospital performance based on a generalization of Banker and Morey (1986) and Førsund (1996). This approach considers quasi-fixed inputs explicitly, calculates their implicit cost, and quantifies returns to scale. The performance measure is decomposed into allocative and technical inefficiencies. Based on a very complete data set of Québec hospitals, we find that significant inefficiencies of up to 17% ($700 CAN million) could have been saved through improved performance. Postestimation analyses that include qualitative measures of care suggest that differences in performance are attributable to differences in management or unobservable quality of care rather than patient case mix. 相似文献
62.
Although conceptually pleasing, normal-gamma frontier models lead to difficult estimation problems. It is shown here that unless the sample size reaches several thousands of observations the shape parameter of the gamma density is hard to estimate, and that this carries over to estimates of the stochastic frontier, the individual inefficiencies, and the allocation of the overall variance to the stochastic frontier and to the inefficiencies. 相似文献
63.
Francisco Muñoz Leiva Francisco Javier Montoro Ríos Teodoro Luque Martínez 《Quality and Quantity》2006,40(4):519-537
In the process of coding open-ended questions, the evaluation of interjudge reliability is a critical issue. In this paper,
using real data, the behavior of three coefficients of reliability among coders, Cohen’s K, Krippendorff’s α and Perreault and Leigh’s I
r
are patterned, in terms of the number of judges involved and the categories of answer defined. The outcome underlines the
importance of both variables in the valuations of interjudge reliability, as well as the higher adequacy of Perreault and
Leigh’s I
r
and Krippendorff’s α for marketing and opinion research. 相似文献
64.
65.
Environmental uncertainty is a fact of life in today's supply chains. In this paper we develop a model of environmental uncertainty, supply chain (SC) relationship quality and SC performance. We use data from the electronics sector in Ireland to test our model. Our results provide mixed support for the model, with the moderating role of both demand and supply uncertainty being supported, but technological uncertainty not supported. We reflect on these findings and suggest a research agenda based on our results. 相似文献
66.
In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables
are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon
the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study. 相似文献
67.
This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher
level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge
through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets
develop. They define shared knowledge as the aspects of product representations that are common across the minds of market
actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content
that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market
development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and
propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory
with market evolution models.
José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University.
His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial
sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and
buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries.
Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research
interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial
cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry. 相似文献
68.
Julie A. Ruth Frédéric F. Brunel Cele C. Otnes 《Journal of the Academy of Marketing Science》2002,30(1):44-58
While emotions have been shown to have significant influence on various consumer behaviors, the cognitive appraisals linked
to consumption emotions have not been fully explored. This research investigates how individuals' cognitive interpretations
of situations correspond to the emotions they experience in these contexts. Using analysis of variance and multiple discriminant
analysis, our results show a systematic relationship between cognitive appraisals and 10 consumption emotions. The author's
findings offer theoretical insights into these consumption emotions, the appraisal/consumption emotion correspondence, basisversus
subordinate-level category differences in emotions, and mixed consumption emotions. The findings provide a practical framework
for academics and practitioners interested in better understanding and managing consumption emotions.
Julie A. Ruth (Ph.D., University of Michigan) is an assistant professor of marketing in the School of Business—Camden at Rutgers University.
Her research interests include affect and emotions, consumer relationships, and consumer response to brand strategies such
as brand alliances and sponsorships.
Frédéric F. Brunel (Ph.D., University of Washington) is an assistant professor of marketing in the School of Management at Boston University.
His research interests include consumer perceptions of product design and aesthetics, consumer attitude and affect, and gender
and sociocultural issues in consumption.
Cele C. Otnes (Ph.D., University of Tennessee) is an associate professor of business administration in the College of Commerce and Business
Administration at the University of Illinois, Urbana. Her research interests include consumer rituals, affect and consumer
ambivalence, and gift exchange. 相似文献
69.
Philippe Mongrain Richard Nadeau Bruno Jérôme 《International Journal of Forecasting》2021,37(1):289-301
Election forecasting has become a fixture of election campaigns in a number of democracies. Structural modeling, the major approach to forecasting election results, relies on ‘fundamental’ economic and political variables to predict the incumbent’s vote share usually a few months in advance. Some political scientists contend that adding vote intention polls to these models—i.e., synthesizing ‘fundamental’ variables and polling information—can lead to important accuracy gains. In this paper, we look at the efficiency of different model specifications in predicting the Canadian federal elections from 1953 to 2015. We find that vote intention polls only allow modest accuracy gains late in the campaign. With this backdrop in mind, we then use different model specifications to make ex ante forecasts of the 2019 federal election. Our findings have a number of important implications for the forecasting discipline in Canada as they address the benefits of combining polls and ‘fundamental’ variables to predict election results; the efficiency of varying lag structures; and the issue of translating votes into seats. 相似文献
70.
Anthony Bellotti Damiano Brigo Paolo Gambetti Frédéric Vrins 《International Journal of Forecasting》2021,37(1):428-444
We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential. 相似文献