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Prior Models (prior + models)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	50%

Selected Abstracts

Incomplete Adoption of a Superior Innovation

ECONOMICA, Issue 268 2000
Harvey E. Lapan
We consider a model in which an innovating monopolist of a technologically superior intermediate input must sell this product to final output producers. Prior research shows that, with complete information, the monopolist's optimal strategy will lead to complete adoption of this technologically superior innovation. In this article we show that, when the price of some competitively supplied input used in the final product market is endogenous and is altered by adoption of the innovation, then the optimal pricing strategy of the monopolist may lead to incomplete innovation. Thus, the standard result of complete adoption of the superior technology is partly attributable to the partial equilibrium nature of prior models. [source]

Conceptualizing Corporate Entrepreneurship Strategy

ENTREPRENEURSHIP THEORY AND PRACTICE, Issue 1 2009
R. Duane Ireland
Our knowledge of corporate entrepreneurship (CE) continues to expand. However, this knowledge remains quite fragmented and non-cumulative. Herein, we conceptualize CE strategy as a useful focal point for integrating and synthesizing key elements within CE's intellectual domain. The components of our CE strategy model include (1) the antecedents of CE strategy (i.e., individual entrepreneurial cognitions of the organization's members and external environmental conditions that invite entrepreneurial activity), (2) the elements of CE strategy (i.e., top management's entrepreneurial strategic vision for the firm, organizational architectures that encourage entrepreneurial processes and behavior, and the generic forms of entrepreneurial process that are reflected in entrepreneurial behavior), and (3) the outcomes of CE strategy (i.e., organizational outcomes resulting from entrepreneurial actions, including the development of competitive capability and strategic repositioning). We discuss how our model contributes to the CE literature, distinguish our model from prior models, and identify challenges future CE research should address. [source]

Parameter estimation in Bayesian reconstruction of SPECT images: An aid in nuclear medicine diagnosis

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Issue 1 2004
Antonio López
Abstract Despite the adequacy of Bayesian methods to reconstruct nuclear medicine SPECT (single-photon emission computed tomography) images, they are rarely used in everyday medical practice. This is primarily because of their computational cost and the need to appropriately select the prior model hyperparameters. We propose a simple procedure for the estimation of these hyperparameters and the reconstruction of the original image and test the procedure on both synthetic and real SPECT images. The experimental results demonstrate that the proposed hyperparameter estimation method produces satisfactory reconstructions. Although we have used generalized Gaussian Markov random fields (GGMRF) as prior models, the proposed estimation method can be applied to any priors with convex potential and tractable partition function with respect to the scale hyperparameter. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 21,27, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20003 [source]

A Religious Education Otherwise?

JOURNAL OF PHILOSOPHY OF EDUCATION, Issue 1 2010
An Examination, Proposed Interruption of Current British Practice
This paper examines the recent shift towards the dominance of the study of philosophy of religion, ethics and critical thinking within religious education in Britain. It explores the impact of the critical realist model, advocated by Andrew Wright and Philip Barnes, in response to prior models of phenomenological religious education, in order to expose the ways in which both approaches can lead to a distorted understanding of the nature of religion. Although the writing of Emmanuel Levinas has been used in support of the critical realist model by Wright, I will consider how his and Slavoj ,i,ek's writings on the nature of religion might challenge the dominance of the critical realist approach and provide a conceptual framework through which it might be possible to develop an alternative approach to religious education that attends to the complexity, ambiguity and demanding nature of engaging with religious traditions. [source]

Integrating technology readiness into technology acceptance: The TRAM model

PSYCHOLOGY & MARKETING, Issue 7 2007
Chien-Hsin Lin
Based on previous theoretical streams, the present study integrates technology readiness (TR) into the technology acceptance model (TAM) in the context of consumer adoption of e-service systems, and theorizes that the impact of TR on use intention is completely mediated by both perceptions of usefulness and ease of use. TAM was originally developed to predict people's technology-adopting behavior at work environments, but this research stemmed from a questioning of its applicability in marketing (i.e., non-work) settings. The differences between the two settings are exhibited by consumers' self-determining selection behavior and their high involvement in the e-service creation and delivery process. This paper first reviews the TAM and the construct of technology readiness, and then proposes and empirically tests an integrated Technology Readiness and Acceptance Model (TRAM) to augment TAM by taking technology readiness construct into the realm of consumers' adoption of innovations. The results indicate that TRAM substantially broadens the applicability and the explanatory power of either of the prior models and may be a better way to gauge technology adoption in situations where adoption is not mandated by organizational objectives. Further, theoretical and practical implications and future research directions are discussed. © 2007 Wiley Periodicals, Inc. [source]

Bayesian Nonparametric Modeling for Comparison of Single-Neuron Firing Intensities

BIOMETRICS, Issue 1 2010
Athanasios Kottas
Summary We propose a fully inferential model-based approach to the problem of comparing the firing patterns of a neuron recorded under two distinct experimental conditions. The methodology is based on nonhomogeneous Poisson process models for the firing times of each condition with flexible nonparametric mixture prior models for the corresponding intensity functions. We demonstrate posterior inferences from a global analysis, which may be used to compare the two conditions over the entire experimental time window, as well as from a pointwise analysis at selected time points to detect local deviations of firing patterns from one condition to another. We apply our method on two neurons recorded from the primary motor cortex area of a monkey's brain while performing a sequence of reaching tasks. [source]