Institution
Texas Christian University
Education•Fort Worth, Texas, United States•
About: Texas Christian University is a education organization based out in Fort Worth, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3245 authors who have published 8258 publications receiving 282216 citations. The organization is also known as: TCU & Texas Christian University, TCU.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors investigate how the social cues inherent in avatars influence consumers' affect and shopping value, and find that social cues induce perceptions of Web site socialness, leading to increased pleasure and arousal, both of which positively influence flow, hedonic and utilitarian value.
Abstract: Avatars are lifelike characters created by technology. Research suggests that avatars can increase the persuasiveness of online sales channels. The authors investigate how the social cues inherent in avatars influence consumers' affect and shopping value. In Study 1, social cues induce perceptions of Web site socialness, leading to increased pleasure and arousal, both of which positively influence flow, hedonic and utilitarian value, and patronage intentions. Study 2 finds that social cue–induced arousal leads to increased pleasure only for consumers who are involved with the product category. Moreover, the influence of arousal on hedonic value is stronger for women, flow does not lead to pleasure for older consumers, and utilitarian value is less important for this group than for their younger counterparts. The findings suggest that there is a competitive advantage for online retailers that use social cues that provide consumers with enhanced perceptions of human connection and the formation of ...
595 citations
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TL;DR: This paper developed a conceptual model depicting relationships between salesforce control systems, characteristics, performance, and sales organization effectiveness as a framework for testing the performance and effectiveness of a sales organization's control systems.
Abstract: The authors develop a conceptual model depicting relationships between salesforce control systems, characteristics, performance, and sales organization effectiveness as a framework for testing the ...
595 citations
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TL;DR: A model that relates properties of the analysts' information environment to the properties of their forecasts and shows that the quality of common and private information available to analysts can be measured using these same observable variables.
Abstract: This paper presents a model that relates properties of the analysts' information environment to the properties of their forecasts. First, we express forecast dispersion and error in the mean forecast in terms of analyst uncertainty and consensus (that is, the degree to which analysts share a common belief). Second, we reverse the relations to show how uncertainty and consensus can be measured by combining forecast dispersion, error in the mean forecast, and the number of forecasts. Third, we show that the quality of common and private information available to analysts can be measured using these same observable variables. The relations we present are intuitive and easily applied in empirical studies.
595 citations
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University of Edinburgh1, Autonomous University of Madrid2, Pierre-and-Marie-Curie University3, University of Portsmouth4, University of Wisconsin-Madison5, University of Cape Town6, New Mexico State University7, Moscow State University8, New York University9, University of Utah10, University of Toronto11, Université Paris-Saclay12, University of Waterloo13, Sejong University14, Stanford University15, Max Planck Society16, University College London17, Texas Christian University18, National Autonomous University of Mexico19, University of Barcelona20, Consejo Nacional de Ciencia y Tecnología21, Universidad de Guanajuato22, Liverpool John Moores University23, Lawrence Berkeley National Laboratory24, Ohio State University25, École Polytechnique Fédérale de Lausanne26, University of Wyoming27, Haverford College28, University of Oxford29, University of Pittsburgh30, Perimeter Institute for Theoretical Physics31, California Institute of Technology32, Ohio University33, Swinburne University of Technology34, Fermilab35, University of Washington36, Korea Astronomy and Space Science Institute37, Brookhaven National Laboratory38, University of St Andrews39, Durham University40
TL;DR: In this article, the authors present the cosmological implications from final measurements of clustering using galaxies, quasars, and Lyα forests from the completed SDSS lineage of experiments in large-scale structure.
Abstract: We present the cosmological implications from final measurements of clustering using galaxies, quasars, and Lyα forests from the completed Sloan Digital Sky Survey (SDSS) lineage of experiments in large-scale structure. These experiments, composed of data from SDSS, SDSS-II, BOSS, and eBOSS, offer independent measurements of baryon acoustic oscillation (BAO) measurements of angular-diameter distances and Hubble distances relative to the sound horizon, rd, from eight different samples and six measurements of the growth rate parameter, fσ8, from redshift-space distortions (RSD). This composite sample is the most constraining of its kind and allows us to perform a comprehensive assessment of the cosmological model after two decades of dedicated spectroscopic observation. We show that the BAO data alone are able to rule out dark-energy-free models at more than eight standard deviations in an extension to the flat, ΛCDM model that allows for curvature. When combined with Planck Cosmic Microwave Background (CMB) measurements of temperature and polarization, under the same model, the BAO data provide nearly an order of magnitude improvement on curvature constraints relative to primary CMB constraints alone. Independent of distance measurements, the SDSS RSD data complement weak lensing measurements from the Dark Energy Survey (DES) in demonstrating a preference for a flat ΛCDM cosmological model when combined with Planck measurements. The combined BAO and RSD measurements indicate σ8=0.85±0.03, implying a growth rate that is consistent with predictions from Planck temperature and polarization data and with General Relativity. When combining the results of SDSS BAO and RSD, Planck, Pantheon Type Ia supernovae (SNe Ia), and DES weak lensing and clustering measurements, all multiple-parameter extensions remain consistent with a ΛCDM model. Regardless of cosmological model, the precision on each of the three parameters, ωΛ, H0, and σ8, remains at roughly 1%, showing changes of less than 0.6% in the central values between models. In a model that allows for free curvature and a time-evolving equation of state for dark energy, the combined samples produce a constraint ωk=-0.0022±0.0022. The dark energy constraints lead to w0=-0.909±0.081 and wa=-0.49-0.30+0.35, corresponding to an equation of state of wp=-1.018±0.032 at a pivot redshift zp=0.29 and a Dark Energy Task Force Figure of Merit of 94. The inverse distance ladder measurement under this model yields H0=68.18±0.79 km s-1 Mpc-1, remaining in tension with several direct determination methods; the BAO data allow Hubble constant estimates that are robust against the assumption of the cosmological model. In addition, the BAO data allow estimates of H0 that are independent of the CMB data, with similar central values and precision under a ΛCDM model. Our most constraining combination of data gives the upper limit on the sum of neutrino masses at mν<0.115 eV (95% confidence). Finally, we consider the improvements in cosmology constraints over the last decade by comparing our results to a sample representative of the period 2000-2010. We compute the relative gain across the five dimensions spanned by w, ωk, mν, H0, and σ8 and find that the SDSS BAO and RSD data reduce the total posterior volume by a factor of 40 relative to the previous generation. Adding again the Planck, DES, and Pantheon SN Ia samples leads to an overall contraction in the five-dimensional posterior volume of 3 orders of magnitude.
575 citations
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New Mexico State University1, Princeton University2, University of Michigan3, Vanderbilt University4, Ohio State University5, University of Pittsburgh6, University of Virginia7, Spanish National Research Council8, University of La Laguna9, Joint Institute for Nuclear Astrophysics10, Leibniz Institute for Astrophysics Potsdam11, Texas Christian University12, INAF13, Case Western Reserve University14, Pennsylvania State University15, Eötvös Loránd University16, University of Franche-Comté17, Liverpool John Moores University18, University of Nice Sophia Antipolis19, University of Texas at Austin20, Johns Hopkins University21
TL;DR: In this paper, the authors measured the distribution of stars in the [/Fe] versus [Fe/H] plane and the metallicity distribution functions (MDFs) across an unprecedented volume of the Milky Way disk, with radius 3 < R < 15 kpc and height kpc.
Abstract: Using a sample of 69,919 red giants from the SDSS-III/APOGEE Data Release 12, we measure the distribution of stars in the [/Fe] versus [Fe/H] plane and the metallicity distribution functions (MDFs) across an unprecedented volume of the Milky Way disk, with radius 3 < R < 15 kpc and height kpc. Stars in the inner disk (R < 5 kpc) lie along a single track in [/Fe] versus [Fe/H], starting with -enhanced, metal-poor stars and ending at [/Fe] ∼ 0 and [Fe/H] ∼ +0.4. At larger radii we find two distinct sequences in [/Fe] versus [Fe/H] space, with a roughly solar- sequence that spans a decade in metallicity and a high- sequence that merges with the low- sequence at super-solar [Fe/H]. The location of the high- sequence is nearly constant across the disk.
573 citations
Authors
Showing all 3295 results
Name | H-index | Papers | Citations |
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Fred H. Gage | 216 | 967 | 185732 |
Daniel J. Eisenstein | 179 | 672 | 151720 |
Michael A. Hitt | 120 | 361 | 74448 |
Joseph Sarkis | 101 | 482 | 45116 |
Peter M. Frinchaboy | 76 | 216 | 38085 |
Lynn A. Boatner | 72 | 661 | 22536 |
Tai C. Chen | 70 | 276 | 22671 |
D. Dwayne Simpson | 65 | 245 | 16239 |
Garry D. Bruton | 64 | 150 | 17157 |
Robert F. Lusch | 64 | 180 | 43021 |
Johnmarshall Reeve | 60 | 113 | 18671 |
Nigel F. Piercy | 54 | 166 | 9051 |
Barbara J. Thompson | 53 | 217 | 12992 |
Zygmunt Gryczynski | 52 | 374 | 10692 |
Priyabrata Mukherjee | 51 | 140 | 14328 |