The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Chris Hackley - One of the best experts on this subject based on the ideXlab platform.
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'We Are All Customers Now ...' Rhetorical Strategy and Ideological Control in Marketing Management Texts
2003Co-Authors: Chris HackleyAbstract:This paper critically appraises the rhetoric of marketing management texts. Its interpretive frame is informed respectively by critical management and discourse analytic theoretical traditions. Its Main Data Set is drawn from popular textbooks written for taught university courses but it also draws attention to similar rhetorical strategies in leading academic marketing journals. In addition, parallels are drawn with other popular management and consulting fields. In this way the paper attempts to mark out an initial topology of the ideological influence that is enabled and mobilized by marketing's rhetorical strategies. Marketing rhetoric often escapes critical attention precisely because it is platitudinous. Marketing management axioms have become slogans and the slogans have become cliches regularly employed in organizational, educational and political Settings. But the prevalence of platitudinous rhetoric in management consulting schemes does not necessarily hinder their popularity or inhibit the deployment of their rhetorical/ideological strategies in other Settings. Popular marketing management rhetoric is a special case because it positions itself not only as a prescriptive management-consulting framework but also as a legitimate academic field. It is in the latter guise that the success of managerial marketing's rhetorical/ideological strategies has proved most striking.
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‘We Are All Customers Now . . .’ Rhetorical Strategy and Ideological Control in Marketing Management Texts*
Journal of Management Studies, 2003Co-Authors: Chris HackleyAbstract:ABSTRACT This paper critically appraises the rhetoric of marketing management texts. Its interpretive frame is informed respectively by critical management and discourse analytic theoretical traditions. Its Main Data Set is drawn from popular textbooks written for taught university courses but it also draws attention to similar rhetorical strategies in leading academic marketing journals. In addition, parallels are drawn with other popular management and consulting fields. In this way the paper attempts to mark out an initial topology of the ideological influence that is enabled and mobilized by marketing's rhetorical strategies. Marketing rhetoric often escapes critical attention precisely because it is platitudinous. Marketing management axioms have become slogans and the slogans have become cliches regularly employed in organizational, educational and political Settings. But the prevalence of platitudinous rhetoric in management consulting schemes does not necessarily hinder their popularity or inhibit the deployment of their rhetorical/ideological strategies in other Settings. Popular marketing management rhetoric is a special case because it positions itself not only as a prescriptive management-consulting framework but also as a legitimate academic field. It is in the latter guise that the success of managerial marketing's rhetorical/ideological strategies has proved most striking.
Bagus Jaya Santosa - One of the best experts on this subject based on the ideXlab platform.
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Seismogram Analysis of the Earthquakes in Sumatra on WRAB Observation Station: S Wave Velocity Structure on Subduction Zone of Sumatra-Java.
2016Co-Authors: Bagus Jaya Santosa, Program Studi GeofisikaAbstract:Abstract. The S wave velocity structure at subduction zone under Sumatra-Java was investigated through seismogram analysis in time doMain and three Cartesian’s components simultaneously. The Main Data Set was the comparison between the measured seismogram and the synthetic one, not the travel time Data. The synthetic seismogram was calculated with the GEMINI method. The seismogram comparison shows that the global earth mantle of PREMAN gives deviating synthetic seismogram and has later arrival times than the measured one. The gradient βh in the upper mantle is altered to positive from its negative slope as in the PREMAN model, and positive corrections are added to the zero order of polynomial’s coefficients in all earth mantle layers. The excellent fitting, as well as travel time or waveform, were obtained on the surface waves of Love and Rayleigh, the S and SS mantle and repetitive depth waves. The additional positive corrections were also confirmed by a well fitting on the repetitive depth waves. This result expresses that part of the earth mantle that due to tectonic processes has positive anomaly on S wave velocity and vertical anisotropy in all of the earth mantle layers
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SEISMOGRAM ANALYSIS OF INDONESIA EARTHQUAKES AT DAV OBSERVATION STATION
2010Co-Authors: Bagus Jaya SantosaAbstract:The S-wave velocity across the earth structure under Indonesia for Indonesian earthquakes has been investigated through seismogram analysis, simultaneously in the time doMain and three Cartesian components. The Data was recorded at DAV observational station, the Philippines. The Main Data Set is the seismogram comparison between the measured and synthetic seismogram, instead of travel time Data, as commonly used in other seismological research. The synthetic seismogram is calculated using the GEMINI method, which is equivalent to Mode Summation. The above seismogram comparison shows that the global earth mantle of PREMAN gives a deviating synthetic seismogram and has earlier arrival times than those of the measurement. The gradient of βh in the upper mantle layers is altered into a positive, rather than negative slope as stated in the PREMAN model, and negative corrections are imposed to the zero order of the polynomial’s coefficients in all earth mantle layers. The excellent fitting, as well as travel time or waveform, is obtained from the surface waves of Love and Rayleigh, surface wave to the S and SS mantle waves as well as the core reflected waves. This result expresses that part of the earth mantle, due to a collision between India and Asia tectonic released zones, has a negative anomaly in S-wave velocity and vertical anisotropy in all of the earth mantle layers.
Manuel Martín-neira - One of the best experts on this subject based on the ideXlab platform.
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Revisiting the GNSS-R Waveform Statistics and Its Impact on Altimetric Retrievals
IEEE Transactions on Geoscience and Remote Sensing, 2018Co-Authors: Antonio Rius, Fran Fabra, Estel Cardellach, Serni Ribó, Manuel Martín-neiraAbstract:This paper analyzes the ocean altimetry precision of global navigation satellite systems' reflectometry (GNSS-R) by characterizing the noise statistics of the measured waveform. For this purpose, we first investigate the dependence of the altimetry precision on the statistics of the observed waveform and then derive an analytical model of the waveform statistics after incoherent averaging. The Main Data Set used for altimetry analysis and model validation is the GPS L5 signals obtained from an airborne experiment. Two different delay estimators, based on the leading-edge derivative (DER) and the waveform fitting (FIT) over the leading edge, have been implemented. Later, the relationship between the statistics of the observed waveform and the altimetry precision is derived and validated for both the estimators with the airborne Data. Then, the analytical model of the statistics of the incoherently averaged waveform is built from the correlation properties of the complex waveform, and also validated with both airborne and the TechDemoSat-1 spaceborne Data. After that, the proposed waveform statistics and altimetry precision models are applied to spaceborne cases with different orbit altitudes. The altimetry performance of different onboard processing methods, i.e., conventional GNSS-R and interferometric GNSS-R, and delay estimators, i.e., DER and FIT, are preliminarily assessed. Finally, the dependence of altimetry precision on different parameters is analyzed and a simplified model of altimetry precision is proposed for the spaceborne case.
Kari Furu - One of the best experts on this subject based on the ideXlab platform.
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Adjusting for unmeasured confounding using validation Data: Simplified two-stage calibration for survival and dichotomous outcomes
Statistics in medicine, 2019Co-Authors: Vidar Hjellvik, Marie L. De Bruin, Sven Ove Samuelsen, Øystein Karlstad, Morten Andersen, Jari Haukka, Peter Vestergaard, Frank De Vries, Kari FuruAbstract:In epidemiology, one typically wants to estimate the risk of an outcome associated with an exposure after adjusting for confounders. Sometimes, outcome and exposure and maybe some confounders are available in a large Data Set, whereas some important confounders are only available in a validation Data Set that is typically a subSet of the Main Data Set. A generally applicable method in this situation is the two-stage calibration (TSC) method. We present a simplified easy-to-implement version of the TSC for the case where the validation Data are a subSet of the Main Data. We compared the simplified version to the standard TSC version for incidence rate ratios, odds ratios, relative risks, and hazard ratios using simulated Data, and the simplified version performed better than our implementation of the standard version. The simplified version was also tested on real Data and performed well.
Baosen Zhang - One of the best experts on this subject based on the ideXlab platform.
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Big Data and Deep Learning Platform for Terabyte-Scale Renewable DataSets
2018 Power Systems Computation Conference (PSCC), 2018Co-Authors: Yang Weng, Abhishek Kumar, Muhammad B. Saleem, Baosen ZhangAbstract:Many renewable resources cover diverse geographical areas and it is increasingly important to analyze large Sets of Data to understand their spatial and temporal behaviors. In this paper, we propose and demonstrate a Data platform to efficiently manipulate and visualize Data on the scale of terabytes. As the application of interest, we focus on visualization and forecasting of wind power over large geographic areas at various different spatial and temporal resolutions. In particular, we show how to balance the amount of Data used and the need for computational efficiency in real-time applications. The Main Data Set we use is the recently released terabyte wind DataSet by NREL.
