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Institution

Texas Christian University

EducationFort 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
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Journal ArticleDOI
TL;DR: Data Release 13 (DR13) as discussed by the authors provides the first 1390 spatially resolved integral field unit observations of nearby galaxies from the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2), Mapping Nearby Galaxies at APO (MaNGA), and the Extended Baryon Oscillation Spectroscopic Survey (eBOSS).
Abstract: The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) began observations in 2014 July. It pursues three core programs: the Apache Point Observatory Galactic Evolution Experiment 2 (APOGEE-2), Mapping Nearby Galaxies at APO (MaNGA), and the Extended Baryon Oscillation Spectroscopic Survey (eBOSS). As well as its core program, eBOSS contains two major subprograms: the Time Domain Spectroscopic Survey (TDSS) and the SPectroscopic IDentification of ERosita Sources (SPIDERS). This paper describes the first data release from SDSS-IV, Data Release 13 (DR13). DR13 makes publicly available the first 1390 spatially resolved integral field unit observations of nearby galaxies from MaNGA. It includes new observations from eBOSS, completing the Sloan Extended QUasar, Emission-line galaxy, Luminous red galaxy Survey (SEQUELS), which also targeted variability-selected objects and X-ray-selected objects. DR13 includes new reductions of the SDSS-III BOSS data, improving the spectrophotometric calibration and redshift classification, and new reductions of the SDSS-III APOGEE-1 data, improving stellar parameters for dwarf stars and cooler stars. DR13 provides more robust and precise photometric calibrations. Value-added target catalogs relevant for eBOSS, TDSS, and SPIDERS and an updated red-clump catalog for APOGEE are also available. This paper describes the location and format of the data and provides references to important technical papers. The SDSS web site, http://www.sdss.org, provides links to the data, tutorials, examples of data access, and extensive documentation of the reduction and analysis procedures. DR13 is the first of a scheduled set that will contain new data and analyses from the planned ∼6 yr operations of SDSS-IV.

532 citations

Journal ArticleDOI
TL;DR: In this article, the authors argue that CSR programs can fall along a continuum between two endpoints: Institutionalized programs and Promotional programs, based on an exploratory study examining the variance of four responses from the consumer stakeholder group toward these two categories of CSR.
Abstract: Corporate Social Responsibility (CSR) programs are increasingly popular corporate marketing strategies. This paper argues that CSR programs can fall along a continuum between two endpoints: Institutionalized programs and Promotional programs. This classification is based on an exploratory study examining the variance of four responses from the consumer stakeholder group toward these two categories of CSR. Institutionalized CSR programs are argued to be most effective at increasing customer loyalty, enhancing attitude toward the company, and decreasing consumer skepticism. Promotional CSR programs are argued to be more effective at generating purchase intent. Ethical and managerial implications of these preliminary findings are discussed.

515 citations

Posted Content
TL;DR: A model of relatedness and invention performance of high-technology M&As that considers science and technology similarity and complementarity as important drivers of invention finds that complementary scientific knowledge and complementary technological knowledge both contribute to post-merger invention performance by stimulating higher quality and more novel inventions.
Abstract: Prior research on M&As and invention outcomes has not systematically examined the influence of two types of knowledge differences. Knowledge relatedness has typically been equated with knowledge similarity and the separate influence of knowledge complementarity has been overlooked. Similarly, studies examining innovation outcomes of M&As have typically focused on the role of technological knowledge and overlooked the influence of scientific knowledge. We develop a model of relatedness and invention performance of high-technology M&As that considers science and technology similarity and complementarity as important drivers of invention. We test the model using a sample of M&As from the drug, chemical, and electronics industries and a fine-grained measure of knowledge relatedness that distinguishes between science and technology relatedness. We find that complementary scientific knowledge and complementary technological knowledge both contribute to post-merger invention performance by stimulating higher quality and more novel inventions. This suggests that high-technology firms seeking acquisitions should search for, identify, and acquire businesses that have scientific and technological knowledge that is complementary to their own. Our results also suggest that similarities in knowledge facilitate incremental renewal, while complementarities would make discontinuous strategic transformations more likely, and that absorptive capacity research should be expanded to consider complementarities as well as similarities.

515 citations

Journal ArticleDOI
TL;DR: This paper conducted a two-study examination of relationships between abusive supervision and subordinates' workplace deviance, finding that abusive supervision is more strongly associated with subordinates' organization deviance and supervisor-directed deviance when subordinates' intention to quit is higher.

511 citations

Journal ArticleDOI
TL;DR: A comparison of DSM and DMM approaches shows that DMM analysis offers several benefits, which can help capture the dynamics of PD, show traceability of constraints across domains, and improve decision making among engineers and managers by providing a basis for communication and learning across domains.

499 citations


Authors

Showing all 3295 results

NameH-indexPapersCitations
Fred H. Gage216967185732
Daniel J. Eisenstein179672151720
Michael A. Hitt12036174448
Joseph Sarkis10148245116
Peter M. Frinchaboy7621638085
Lynn A. Boatner7266122536
Tai C. Chen7027622671
D. Dwayne Simpson6524516239
Garry D. Bruton6415017157
Robert F. Lusch6418043021
Johnmarshall Reeve6011318671
Nigel F. Piercy541669051
Barbara J. Thompson5321712992
Zygmunt Gryczynski5237410692
Priyabrata Mukherjee5114014328
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202320
2022107
2021439
2020458
2019391
2018326