The Experts below are selected from a list of 132 Experts worldwide ranked by ideXlab platform
Isabelle Madore - One of the best experts on this subject based on the ideXlab platform.
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a multifoci person centered perspective on workplace affective commitment a latent Profile Factor mixture analysis
Organizational Research Methods, 2011Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
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A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis
Organizational Research Methods, 2010Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
Alexandre J S Morin - One of the best experts on this subject based on the ideXlab platform.
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a multifoci person centered perspective on workplace affective commitment a latent Profile Factor mixture analysis
Organizational Research Methods, 2011Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
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A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis
Organizational Research Methods, 2010Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
Andrew W. Caswell - One of the best experts on this subject based on the ideXlab platform.
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Automated Design Optimization of a Small-Scale High-Swirl Cavity-Stabilized Combustor
Journal of Engineering for Gas Turbines and Power-transactions of The Asme, 2018Co-Authors: Alejandro M. Briones, David L. Burrus, Joshua Sykes, Brent A. Rankin, Andrew W. CaswellAbstract:A numerical optimization study is performed on a small-scale high-swirl cavity-stabilized combustor. A parametric geometry is created in cad software that is coupled with meshing software. The latter automatically transfers meshes and boundary conditions to the solver, which is coupled with a postprocessing tool. Steady, incompressible three-dimensional simulations are performed using a multiphase Realizable k-ε Reynolds-averaged Navier-Stokes (RANS) approach with a nonadiabatic flamelet progress variable (FPV) model. There are nine geometrical input parameters. There are five output parameters, viz., pattern Factor (PF), RMS of the Profile Factor deviation, averaged exit temperature, averaged exit swirl angle, and total pressure loss. An iterative design of experiments (DOE) with a recursive Latin hypercube sampling (LHS) is performed to filter the most important input parameters. The five major input parameters are found with Spearman's order-rank correlation and R2 coefficient of determination. The five input parameters are used for the adaptive multiple objective (AMO) optimization. This provided a candidate design point with the lowest weighted objective function, which was verified through computational fluid dynamic (CFD) simulation. The combined filtering and optimization procedures improve the baseline design point in terms of pattern and Profile Factor. The former halved from that of the baseline design point, whereas the latter turned from an outer peak to a center peak Profile, closely mimicking an ideal Profile. The exit swirl angle favorably increased 25%. The averaged exit temperature and the total pressure losses remained nearly unchanged from the baseline design point.
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Automated Design Optimization of a Small-Scale High-Swirl Cavity-Stabilized Combustor
Volume 4B: Combustion Fuels and Emissions, 2018Co-Authors: Alejandro M. Briones, David L. Burrus, Brent A. Rankin, Joshua P. Sykes, Andrew W. CaswellAbstract:A numerical optimization study is performed on a small-scale high-swirl cavity-stabilized combustor. A parametric geometry is created in CAD software that is coupled with meshing software. The latter automatically transfers meshes and boundary conditions to the solver, which is coupled with a post-processing tool. Steady, incompressible three-dimensional simulations are performed using a multi-phase Realizable k-ϵ Reynolds-averaged Navier-Stokes (RANS) approach with the non-adiabatic flamelet progress variable (FPV). There are nine input parameters based on geometrical control variables. There are five output parameters, viz., pattern Factor (PF), RMS of the Profile Factor deviation, averaged exit temperature, averaged exit swirl angle, and total pressure loss. An iterative design of experiments (DOE) with a recursive Latin Hypercube Sampling (LHS) is performed to filter the most important input parameters. The five major input parameters are found with Spearman’s order-rank correlation and R2 coefficient of determination. The five input parameters are used for the adaptive multiple objective (AMO) optimization. The AMO algorithm provided a candidate design point with the lowest weighted objective function. This design point was verified through CFD simulation. The combined filtering and optimization procedures improve the baseline design point in terms of pattern and Profile Factor. The former halved from that of the baseline design point whereas the latter turned from an outer peak to a center peak Profile, closely mimicking an ideal Profile. The exit swirl angle favorably increased 25%. The averaged exit temperature and the total pressure losses remained nearly unchanged from the baseline design point.
Julien Morizot - One of the best experts on this subject based on the ideXlab platform.
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a multifoci person centered perspective on workplace affective commitment a latent Profile Factor mixture analysis
Organizational Research Methods, 2011Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
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A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis
Organizational Research Methods, 2010Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
Jeansebastien Boudrias - One of the best experts on this subject based on the ideXlab platform.
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a multifoci person centered perspective on workplace affective commitment a latent Profile Factor mixture analysis
Organizational Research Methods, 2011Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
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A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis
Organizational Research Methods, 2010Co-Authors: Alexandre J S Morin, Julien Morizot, Jeansebastien Boudrias, Isabelle MadoreAbstract:The current study aims to explore the usefulness of a person-centered perspective to the study of workplace affective commitment (WAC). Five distinct Profiles of employees were hypothesized based on their levels of WAC directed toward seven foci (organization, workgroup, supervisor, customers, job, work, and career). This study applied latent Profile analyses and Factor mixture analyses to a sample of 404 Canadian workers. The construct validity of the extracted latent Profiles was verified by their associations with multiple predictors (gender, age, tenure, social relationships at work, workplace satisfaction, and organizational justice perceptions) and outcomes (in-role performance, organizational citizenship behaviors, and intent to quit). The analyses confirmed that a model with five latent Profiles adequately represented the data: (a) highly committed toward all foci; (b) weakly committed toward all foci; (c) committed to their supervisor and moderately committed to the other foci; and (d) committed ...
