The Experts below are selected from a list of 24786 Experts worldwide ranked by ideXlab platform
Eric R Spangenberg - One of the best experts on this subject based on the ideXlab platform.
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mass communicated prediction requests practical application and a cognitive dissonance explanation for self Prophecy
Journal of Marketing, 2003Co-Authors: Eric R Spangenberg, David E Sprott, Bianca Grohmann, Ronn J SmithAbstract:Abstract Marketers often promote socially beneficial actions or discourage antisocial behaviors to the benefit of their firms, target markets, and society as a whole. One means by which marketers accomplish such influence is a technique referred to as the “self-Prophecy effect,” or the behavioral influence of a person making a self-prediction. Researchers have yet to establish the efficacy of self-Prophecy in influencing large target markets. In addition, the theoretical mechanism underlying the effect remains in question. The authors report two field studies that demonstrate successful application of self-Prophecy through mass-communicated prediction requests. Furthermore, in three laboratory experiments, the authors provide theoretical support for a dissonance-based explanation for self-Prophecy, and they discuss practical implications for marketers interested in influencing socially normative behavior.
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The importance of normative beliefs to the self-Prophecy effect.
Journal of Applied Psychology, 2003Co-Authors: David E Sprott, Eric R Spangenberg, Robert J. FisherAbstract:Asking people to predict whether they will undertake a target behavior increases their probability of performing that behavior. Now referred to as the self-Prophecy effect, this phenomenon has been demonstrated across several contexts. Although theoretical explanations for the effect have been offered,empirical evidence for proposed accounts is sparse. The current research tests the theoretically relevant precondition for the effect that normative beliefs — evaluations of what is socially desirable or appropriate — underlie manifestation of the self-Prophecy effect. Results of 2 experiments for different behaviors indicate that the act of making a prediction is most effective when normative beliefs are strong.Implications of these findings are discussed in relation to theoretical explanations for the effect and successful use of self-Prophecy to promote socially desirable behaviors.
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social influence by requesting self Prophecy
Journal of Consumer Psychology, 1999Co-Authors: Eric R Spangenberg, Anthony G GreenwaldAbstract:Asking people to predict whether they will perform a target action often increases the probability of their performing that action. This article reviews published and unpublished research evidence for this “self-Prophecy” phenomenon and reports 2 new experiments. The studies reviewed demonstrate that the self-Prophecy effect occurs in a variety of situations and that it is a moderate-size effect. The new experiments introduce a 1 -session procedure that is considerably more efficient in testing theory than the 2-session procedure of previous experiments. In the prior studies, as in the present self-Prophecy studies, participants appear to reduce a discrepancy between their principles and their behavior, made salient by prediction, through changing the behavior. Toward the ends of encouraging future investigation and developing theoretical understanding of the effect, the article concludes with discussion of related programs of research that may provide theoretical explanations for the effect.
Anthony G Greenwald - One of the best experts on this subject based on the ideXlab platform.
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social influence by requesting self Prophecy
Journal of Consumer Psychology, 1999Co-Authors: Eric R Spangenberg, Anthony G GreenwaldAbstract:Asking people to predict whether they will perform a target action often increases the probability of their performing that action. This article reviews published and unpublished research evidence for this “self-Prophecy” phenomenon and reports 2 new experiments. The studies reviewed demonstrate that the self-Prophecy effect occurs in a variety of situations and that it is a moderate-size effect. The new experiments introduce a 1 -session procedure that is considerably more efficient in testing theory than the 2-session procedure of previous experiments. In the prior studies, as in the present self-Prophecy studies, participants appear to reduce a discrepancy between their principles and their behavior, made salient by prediction, through changing the behavior. Toward the ends of encouraging future investigation and developing theoretical understanding of the effect, the article concludes with discussion of related programs of research that may provide theoretical explanations for the effect.
Anders Blomberg - One of the best experts on this subject based on the ideXlab platform.
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Prophecy--a database for high-resolution phenomics.
Nucleic acids research, 2005Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics--the genome-wide study of gene dispensability by quantitative analysis of phenotypes--has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data--the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
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Prophecy—a database for high-resolution phenomics
Nucleic Acids Research, 2004Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics—the genome-wide study of gene dispensability by quantitative analysis of phenotypes—has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data—the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
Luciano Fernandez-ricaud - One of the best experts on this subject based on the ideXlab platform.
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Prophecy--a database for high-resolution phenomics.
Nucleic acids research, 2005Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics--the genome-wide study of gene dispensability by quantitative analysis of phenotypes--has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data--the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
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Prophecy—a database for high-resolution phenomics
Nucleic Acids Research, 2004Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics—the genome-wide study of gene dispensability by quantitative analysis of phenotypes—has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data—the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
Jonas Warringer - One of the best experts on this subject based on the ideXlab platform.
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Prophecy--a database for high-resolution phenomics.
Nucleic acids research, 2005Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics--the genome-wide study of gene dispensability by quantitative analysis of phenotypes--has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data--the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
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Prophecy—a database for high-resolution phenomics
Nucleic Acids Research, 2004Co-Authors: Luciano Fernandez-ricaud, Jonas Warringer, Elke Ericson, Ilona Pylvänäinen, Graham J L Kemp, Olle Nerman, Anders BlombergAbstract:The rapid recent evolution of the field phenomics—the genome-wide study of gene dispensability by quantitative analysis of phenotypes—has resulted in an increasing demand for new data analysis and visualization tools. Following the introduction of a novel approach for precise, genome-wide quantification of gene dispensability in Saccharomyces cerevisiae we here announce a public resource for mining, filtering and visualizing phenotypic data—the Prophecy database. Prophecy is designed to allow easy and flexible access to physiologically relevant quantitative data for the growth behaviour of mutant strains in the yeast deletion collection during conditions of environmental challenges. Prophecy is publicly accessible at http://Prophecy.lundberg.gu.se.
